Articles | Volume 26, issue 3
https://doi.org/10.5194/hess-26-665-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-665-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Feb 2022
Research article |
| 10 Feb 2022
| 10 Feb 2022
A new large-scale suspended sediment model and its application over the United States
Department of Civil and Environmental Engineering, University of
Houston, Houston, Texas, USA
Pacific Northwest National Laboratory, Richland, Washington, USA
Hongbo Ma
Department of Civil and Environmental Engineering, University of
California Irvine, Irvine, California, USA
Zhenduo Zhu
Department of Civil, Structural and Environmental Engineering,
University at Buffalo, State University of New York, Buffalo, New York, USA
Guta Wakbulcho Abeshu
Department of Civil and Environmental Engineering, University of
Houston, Houston, Texas, USA
Senlin Zhu
Department of Civil and Environmental Engineering, University of
Houston, Houston, Texas, USA
currently at: College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou, China
Sagy Cohen
Department of Geography, University of Alabama, Tuscaloosa, Alabama, USA
Tian Zhou
Pacific Northwest National Laboratory, Richland, Washington, USA
Donghui Xu
Pacific Northwest National Laboratory, Richland, Washington, USA
L. Ruby Leung
Pacific Northwest National Laboratory, Richland, Washington, USA
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic-hydrodynamic Model (M-DBCM) with two major improvements: 1) automated non-uniform mesh generation based on the D∞ algorithm was implemented to identify the flood-prone areas where high-resolution inundation conditions are needed; 2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Koichi Sakaguchi, L. Ruby Leung, Colin M. Zarzycki, Jihyeon Jang, Seth McGinnis, Bryce E. Harrop, William C. Skamarock, Andrew Gettelman, Chun Zhao, William J. Gutowski, Stephen Leak, and Linda Mearns
Geosci. Model Dev., 16, 3029–3081, https://doi.org/10.5194/gmd-16-3029-2023, https://doi.org/10.5194/gmd-16-3029-2023, 2023
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We document details of the regional climate downscaling dataset produced by a global variable-resolution model. The experiment is unique in that it follows a standard protocol designed for coordinated experiments of regional models. We found negligible influence of post-processing on statistical analysis, importance of simulation quality outside of the target region, and computational challenges that our model code faced due to rapidly changing super computer systems.
Zhe Feng, Joseph Hardin, Hannah C. Barnes, Jianfeng Li, L. Ruby Leung, Adam Varble, and Zhixiao Zhang
Geosci. Model Dev., 16, 2753–2776, https://doi.org/10.5194/gmd-16-2753-2023, https://doi.org/10.5194/gmd-16-2753-2023, 2023
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PyFLEXTRKR is a flexible atmospheric feature tracking framework with specific capabilities to track convective clouds from a variety of observations and model simulations. The package has a collection of multi-object identification algorithms and has been optimized for large datasets. This paper describes the algorithms and demonstrates applications for tracking deep convective cells and mesoscale convective systems from observations and model simulations at a wide range of scales.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Zeyu Xue, Paul Ullrich, and Lai-Yung Ruby Leung
Hydrol. Earth Syst. Sci., 27, 1909–1927, https://doi.org/10.5194/hess-27-1909-2023, https://doi.org/10.5194/hess-27-1909-2023, 2023
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We examine the sensitivity and robustness of conclusions drawn from the PGW method over the NEUS by conducting multiple PGW experiments and varying the perturbation spatial scales and choice of perturbed meteorological variables to provide a guideline for this increasingly popular regional modeling method. Overall, we recommend PGW experiments be performed with perturbations to temperature or the combination of temperature and wind at the gridpoint scale, depending on the research question.
Dalei Hao, Gautam Bisht, Karl Rittger, Timbo Stillinger, Edward Bair, Yu Gu, and L. Ruby Leung
The Cryosphere, 17, 673–697, https://doi.org/10.5194/tc-17-673-2023, https://doi.org/10.5194/tc-17-673-2023, 2023
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We comprehensively evaluated the snow simulations in E3SM land model over the western United States in terms of spatial patterns, temporal correlations, interannual variabilities, elevation gradients, and change with forest cover of snow properties and snow phenology. Our study underscores the need for diagnosing model biases and improving the model representations of snow properties and snow phenology in mountainous areas for more credible simulation and future projection of mountain snowpack.
Chandan Sarangi, Yun Qian, L. Ruby Leung, Yang Zhang, Yufei Zou, and Yuhang Wang
Atmos. Chem. Phys., 23, 1769–1783, https://doi.org/10.5194/acp-23-1769-2023, https://doi.org/10.5194/acp-23-1769-2023, 2023
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We show that for air quality, the densely populated eastern US may see even larger impacts of wildfires due to long-distance smoke transport and associated positive climatic impacts, partially compensating the improvements from regulations on anthropogenic emissions. This study highlights the tension between natural and anthropogenic contributions and the non-local nature of air pollution that complicate regulatory strategies for improving future regional air quality for human health.
Dalei Hao, Gautam Bisht, Karl Rittger, Edward Bair, Cenlin He, Huilin Huang, Cheng Dang, Timbo Stillinger, Yu Gu, Hailong Wang, Yun Qian, and L. Ruby Leung
Geosci. Model Dev., 16, 75–94, https://doi.org/10.5194/gmd-16-75-2023, https://doi.org/10.5194/gmd-16-75-2023, 2023
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Snow with the highest albedo of land surface plays a vital role in Earth’s surface energy budget and water cycle. This study accounts for the impacts of snow grain shape and mixing state of light-absorbing particles with snow on snow albedo in the E3SM land model. The findings advance our understanding of the role of snow grain shape and mixing state of LAP–snow in land surface processes and offer guidance for improving snow simulations and radiative forcing estimates in Earth system models.
Chengzhu Zhang, Jean-Christophe Golaz, Ryan Forsyth, Tom Vo, Shaocheng Xie, Zeshawn Shaheen, Gerald L. Potter, Xylar S. Asay-Davis, Charles S. Zender, Wuyin Lin, Chih-Chieh Chen, Chris R. Terai, Salil Mahajan, Tian Zhou, Karthik Balaguru, Qi Tang, Cheng Tao, Yuying Zhang, Todd Emmenegger, Susannah Burrows, and Paul A. Ullrich
Geosci. Model Dev., 15, 9031–9056, https://doi.org/10.5194/gmd-15-9031-2022, https://doi.org/10.5194/gmd-15-9031-2022, 2022
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Earth system model (ESM) developers run automated analysis tools on data from candidate models to inform model development. This paper introduces a new Python package, E3SM Diags, that has been developed to support ESM development and use routinely in the development of DOE's Energy Exascale Earth System Model. This tool covers a set of essential diagnostics to evaluate the mean physical climate from simulations, as well as several process-oriented and phenomenon-based evaluation diagnostics.
Dongyu Feng, Zeli Tan, Darren Engwirda, Chang Liao, Donghui Xu, Gautam Bisht, Tian Zhou, Hong-Yi Li, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 26, 5473–5491, https://doi.org/10.5194/hess-26-5473-2022, https://doi.org/10.5194/hess-26-5473-2022, 2022
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Sea level rise, storm surge and river discharge can cause coastal backwater effects in downstream sections of rivers, creating critical flood risks. This study simulates the backwater effects using a large-scale river model on a coastal-refined computational mesh. By decomposing the backwater drivers, we revealed their relative importance and long-term variations. Our analysis highlights the increasing strength of backwater effects due to sea level rise and more frequent storm surge.
Yilin Fang, L. Ruby Leung, Charles D. Koven, Gautam Bisht, Matteo Detto, Yanyan Cheng, Nate McDowell, Helene Muller-Landau, S. Joseph Wright, and Jeffrey Q. Chambers
Geosci. Model Dev., 15, 7879–7901, https://doi.org/10.5194/gmd-15-7879-2022, https://doi.org/10.5194/gmd-15-7879-2022, 2022
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We develop a model that integrates an Earth system model with a three-dimensional hydrology model to explicitly resolve hillslope topography and water flow underneath the land surface to understand how local-scale hydrologic processes modulate vegetation along water availability gradients. Our coupled model can be used to improve the understanding of the diverse impact of local heterogeneity and water flux on nutrient availability and plant communities.
Meng Huang, Po-Lun Ma, Nathaniel W. Chaney, Dalei Hao, Gautam Bisht, Megan D. Fowler, Vincent E. Larson, and L. Ruby Leung
Geosci. Model Dev., 15, 6371–6384, https://doi.org/10.5194/gmd-15-6371-2022, https://doi.org/10.5194/gmd-15-6371-2022, 2022
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The land surface in one grid cell may be diverse in character. This study uses an explicit way to account for that subgrid diversity in a state-of-the-art Earth system model (ESM) and explores its implications for the overlying atmosphere. We find that the shallow clouds are increased significantly with the land surface diversity. Our work highlights the importance of accurately representing the land surface and its interaction with the atmosphere in next-generation ESMs.
Yilin Fang, L. Ruby Leung, Ryan Knox, Charlie Koven, and Ben Bond-Lamberty
Geosci. Model Dev., 15, 6385–6398, https://doi.org/10.5194/gmd-15-6385-2022, https://doi.org/10.5194/gmd-15-6385-2022, 2022
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Accounting for water movement in the soil and water transport within the plant is important for plant growth in Earth system modeling. We implemented different numerical approaches for a plant hydrodynamic model and compared their impacts on the simulated aboveground biomass (AGB) at single points and globally. We found care should be taken when discretizing the number of soil layers for numerical simulations as it can significantly affect AGB if accuracy and computational costs are of concern.
Taher Chegini and Hong-Yi Li
Hydrol. Earth Syst. Sci., 26, 4279–4300, https://doi.org/10.5194/hess-26-4279-2022, https://doi.org/10.5194/hess-26-4279-2022, 2022
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Belowground urban stormwater networks (BUSNs) play a critical and irreplaceable role in preventing or mitigating urban floods. However, they are often not available for urban flood modeling at regional or larger scales. We develop a novel algorithm to estimate existing BUSNs using ubiquitously available aboveground data at large scales based on graph theory. The algorithm has been validated in different urban areas; thus, it is well transferable.
Sol Kim, L. Ruby Leung, Bin Guan, and John C. H. Chiang
Geosci. Model Dev., 15, 5461–5480, https://doi.org/10.5194/gmd-15-5461-2022, https://doi.org/10.5194/gmd-15-5461-2022, 2022
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The Energy Exascale Earth System Model (E3SM) project is a state-of-the-science Earth system model developed by the US Department of Energy (DOE). Understanding how the water cycle behaves in this model is of particular importance to the DOE’s mission. Atmospheric rivers (ARs) – which are crucial to the global water cycle – move vast amounts of water vapor through the sky and produce rain and snow. We find that this model reliably represents atmospheric rivers around the world.
Lingcheng Li, Gautam Bisht, and L. Ruby Leung
Geosci. Model Dev., 15, 5489–5510, https://doi.org/10.5194/gmd-15-5489-2022, https://doi.org/10.5194/gmd-15-5489-2022, 2022
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Land surface heterogeneity plays a critical role in the terrestrial water, energy, and biogeochemical cycles. Our study systematically quantified the effects of four dominant heterogeneity sources on water and energy partitioning via Sobol' indices. We found that atmospheric forcing and land use land cover are the most dominant heterogeneity sources in determining spatial variability of water and energy partitioning. Our findings can help prioritize the future development of land surface models.
Kai Zhang, Wentao Zhang, Hui Wan, Philip J. Rasch, Steven J. Ghan, Richard C. Easter, Xiangjun Shi, Yong Wang, Hailong Wang, Po-Lun Ma, Shixuan Zhang, Jian Sun, Susannah M. Burrows, Manish Shrivastava, Balwinder Singh, Yun Qian, Xiaohong Liu, Jean-Christophe Golaz, Qi Tang, Xue Zheng, Shaocheng Xie, Wuyin Lin, Yan Feng, Minghuai Wang, Jin-Ho Yoon, and L. Ruby Leung
Atmos. Chem. Phys., 22, 9129–9160, https://doi.org/10.5194/acp-22-9129-2022, https://doi.org/10.5194/acp-22-9129-2022, 2022
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Here we analyze the effective aerosol forcing simulated by E3SM version 1 using both century-long free-running and short nudged simulations. The aerosol forcing in E3SMv1 is relatively large compared to other models, mainly due to the large indirect aerosol effect. Aerosol-induced changes in liquid and ice cloud properties in E3SMv1 have a strong correlation. The aerosol forcing estimates in E3SMv1 are sensitive to the parameterization changes in both liquid and ice cloud processes.
Donghui Xu, Gautam Bisht, Khachik Sargsyan, Chang Liao, and L. Ruby Leung
Geosci. Model Dev., 15, 5021–5043, https://doi.org/10.5194/gmd-15-5021-2022, https://doi.org/10.5194/gmd-15-5021-2022, 2022
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The runoff outputs in Earth system model simulations involve high uncertainty, which needs to be constrained by parameter calibration. In this work, we used a surrogate-assisted Bayesian framework to efficiently calibrate the runoff-generation processes in the Energy Exascale Earth System Model v1 at a global scale. The model performance was improved compared to the default parameter after calibration, and the associated parametric uncertainty was significantly constrained.
Yun Lin, Jiwen Fan, Pengfei Li, Lai-yung Ruby Leung, Paul J. DeMott, Lexie Goldberger, Jennifer Comstock, Ying Liu, Jong-Hoon Jeong, and Jason Tomlinson
Atmos. Chem. Phys., 22, 6749–6771, https://doi.org/10.5194/acp-22-6749-2022, https://doi.org/10.5194/acp-22-6749-2022, 2022
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How sea spray aerosols may affect cloud and precipitation over the region by acting as ice-nucleating particles (INPs) is unknown. We explored the effects of INPs from marine aerosols on orographic cloud and precipitation for an atmospheric river event observed during the 2015 ACAPEX field campaign. The marine INPs enhance the formation of ice and snow, leading to less shallow warm clouds but more mixed-phase and deep clouds. This work suggests models need to consider the impacts of marine INPs.
Xue Zheng, Qing Li, Tian Zhou, Qi Tang, Luke P. Van Roekel, Jean-Christophe Golaz, Hailong Wang, and Philip Cameron-Smith
Geosci. Model Dev., 15, 3941–3967, https://doi.org/10.5194/gmd-15-3941-2022, https://doi.org/10.5194/gmd-15-3941-2022, 2022
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We document the model experiments for the future climate projection by E3SMv1.0. At the highest future emission scenario, E3SMv1.0 projects a strong surface warming with rapid changes in the atmosphere, ocean, sea ice, and land runoff. Specifically, we detect a significant polar amplification and accelerated warming linked to the unmasking of the aerosol effects. The impact of greenhouse gas forcing is examined in different climate components.
Pinya Wang, Yang Yang, Huimin Li, Lei Chen, Ruijun Dang, Daokai Xue, Baojie Li, Jianping Tang, L. Ruby Leung, and Hong Liao
Atmos. Chem. Phys., 22, 4705–4719, https://doi.org/10.5194/acp-22-4705-2022, https://doi.org/10.5194/acp-22-4705-2022, 2022
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China is now suffering from both severe ozone (O3) pollution and heat events. We highlight that North China Plain is the hot spot of the co-occurrences of extremes in O3 and high temperatures in China. Such coupled extremes exhibit an increasing trend during 2014–2019 and will continue to increase until the middle of this century. And the coupled extremes impose more severe health impacts to human than O3 pollution occurring alone because of elevated O3 levels and temperatures.
Po-Lun Ma, Bryce E. Harrop, Vincent E. Larson, Richard B. Neale, Andrew Gettelman, Hugh Morrison, Hailong Wang, Kai Zhang, Stephen A. Klein, Mark D. Zelinka, Yuying Zhang, Yun Qian, Jin-Ho Yoon, Christopher R. Jones, Meng Huang, Sheng-Lun Tai, Balwinder Singh, Peter A. Bogenschutz, Xue Zheng, Wuyin Lin, Johannes Quaas, Hélène Chepfer, Michael A. Brunke, Xubin Zeng, Johannes Mülmenstädt, Samson Hagos, Zhibo Zhang, Hua Song, Xiaohong Liu, Michael S. Pritchard, Hui Wan, Jingyu Wang, Qi Tang, Peter M. Caldwell, Jiwen Fan, Larry K. Berg, Jerome D. Fast, Mark A. Taylor, Jean-Christophe Golaz, Shaocheng Xie, Philip J. Rasch, and L. Ruby Leung
Geosci. Model Dev., 15, 2881–2916, https://doi.org/10.5194/gmd-15-2881-2022, https://doi.org/10.5194/gmd-15-2881-2022, 2022
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An alternative set of parameters for E3SM Atmospheric Model version 1 has been developed based on a tuning strategy that focuses on clouds. When clouds in every regime are improved, other aspects of the model are also improved, even though they are not the direct targets for calibration. The recalibrated model shows a lower sensitivity to anthropogenic aerosols and surface warming, suggesting potential improvements to the simulated climate in the past and future.
Sally S.-C. Wang, Yun Qian, L. Ruby Leung, and Yang Zhang
Atmos. Chem. Phys., 22, 3445–3468, https://doi.org/10.5194/acp-22-3445-2022, https://doi.org/10.5194/acp-22-3445-2022, 2022
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This study develops an interpretable machine learning (ML) model predicting monthly PM2.5 fire emission over the contiguous US at 0.25° resolution and compares the prediction skills of the ML and process-based models. The comparison facilitates attributions of model biases and better understanding of the strengths and uncertainties in the two types of models at regional scales, for informing future model development and their applications in fire emission projection.
Jinshi Jian, Xuan Du, Juying Jiao, Xiaohua Ren, Karl Auerswald, Ryan Stewart, Zeli Tan, Jianlin Zhao, Daniel L. Evans, Guangju Zhao, Nufang Fang, Wenyi Sun, Chao Yue, and Ben Bond-Lamberty
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-87, https://doi.org/10.5194/essd-2022-87, 2022
Manuscript not accepted for further review
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Field soil loss and sediment yield due to surface runoff observations were compiled into a database named AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements. Annual soil erosion data from 1985 geographic sites and 75 countries have been compiled into AWESOME. This database aims to be an open framework for the scientific community to share field-based annual soil erosion measurements, enabling better understanding of the spatial and temporal variability of annual soil erosion.
Guta Wakbulcho Abeshu, Hong-Yi Li, Zhenduo Zhu, Zeli Tan, and L. Ruby Leung
Earth Syst. Sci. Data, 14, 929–942, https://doi.org/10.5194/essd-14-929-2022, https://doi.org/10.5194/essd-14-929-2022, 2022
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Existing riverbed sediment particle size data are sparsely available at individual sites. We develop a continuous map of median riverbed sediment particle size over the contiguous US corresponding to millions of river segments based on the existing observations and machine learning methods. This map is useful for research in large-scale river sediment using model- and data-driven approaches, teaching environmental and earth system sciences, planning and managing floodplain zones, etc.
Claudia Tebaldi, Kalyn Dorheim, Michael Wehner, and Ruby Leung
Earth Syst. Dynam., 12, 1427–1501, https://doi.org/10.5194/esd-12-1427-2021, https://doi.org/10.5194/esd-12-1427-2021, 2021
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We address the question of how large an initial condition ensemble of climate model simulations should be if we are concerned with accurately projecting future changes in temperature and precipitation extremes. We find that for most cases (and both models considered), an ensemble of 20–25 members is sufficient for many extreme metrics, spatial scales and time horizons. This may leave computational resources to tackle other uncertainties in climate model simulations with our ensembles.
Dalei Hao, Gautam Bisht, Yu Gu, Wei-Liang Lee, Kuo-Nan Liou, and L. Ruby Leung
Geosci. Model Dev., 14, 6273–6289, https://doi.org/10.5194/gmd-14-6273-2021, https://doi.org/10.5194/gmd-14-6273-2021, 2021
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Topography exerts significant influence on the incoming solar radiation at the land surface. This study incorporated a well-validated sub-grid topographic parameterization in E3SM land model (ELM) version 1.0. The results demonstrate that sub-grid topography has non-negligible effects on surface energy budget, snow cover, and surface temperature over the Tibetan Plateau and that the ELM simulations are sensitive to season, elevation, and spatial scale.
Yongkang Xue, Tandong Yao, Aaron A. Boone, Ismaila Diallo, Ye Liu, Xubin Zeng, William K. M. Lau, Shiori Sugimoto, Qi Tang, Xiaoduo Pan, Peter J. van Oevelen, Daniel Klocke, Myung-Seo Koo, Tomonori Sato, Zhaohui Lin, Yuhei Takaya, Constantin Ardilouze, Stefano Materia, Subodh K. Saha, Retish Senan, Tetsu Nakamura, Hailan Wang, Jing Yang, Hongliang Zhang, Mei Zhao, Xin-Zhong Liang, J. David Neelin, Frederic Vitart, Xin Li, Ping Zhao, Chunxiang Shi, Weidong Guo, Jianping Tang, Miao Yu, Yun Qian, Samuel S. P. Shen, Yang Zhang, Kun Yang, Ruby Leung, Yuan Qiu, Daniele Peano, Xin Qi, Yanling Zhan, Michael A. Brunke, Sin Chan Chou, Michael Ek, Tianyi Fan, Hong Guan, Hai Lin, Shunlin Liang, Helin Wei, Shaocheng Xie, Haoran Xu, Weiping Li, Xueli Shi, Paulo Nobre, Yan Pan, Yi Qin, Jeff Dozier, Craig R. Ferguson, Gianpaolo Balsamo, Qing Bao, Jinming Feng, Jinkyu Hong, Songyou Hong, Huilin Huang, Duoying Ji, Zhenming Ji, Shichang Kang, Yanluan Lin, Weiguang Liu, Ryan Muncaster, Patricia de Rosnay, Hiroshi G. Takahashi, Guiling Wang, Shuyu Wang, Weicai Wang, Xu Zhou, and Yuejian Zhu
Geosci. Model Dev., 14, 4465–4494, https://doi.org/10.5194/gmd-14-4465-2021, https://doi.org/10.5194/gmd-14-4465-2021, 2021
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The subseasonal prediction of extreme hydroclimate events such as droughts/floods has remained stubbornly low for years. This paper presents a new international initiative which, for the first time, introduces spring land surface temperature anomalies over high mountains to improve precipitation prediction through remote effects of land–atmosphere interactions. More than 40 institutions worldwide are participating in this effort. The experimental protocol and preliminary results are presented.
Jianfeng Li, Zhe Feng, Yun Qian, and L. Ruby Leung
Earth Syst. Sci. Data, 13, 827–856, https://doi.org/10.5194/essd-13-827-2021, https://doi.org/10.5194/essd-13-827-2021, 2021
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Deep convection has different properties at different scales. We develop a 4 km h−1 observational data product of mesoscale convective systems and isolated deep convection in the United States from 2004–2017. We find that both types of convective systems contribute significantly to precipitation east of the Rocky Mountains but with distinct spatiotemporal characteristics. The data product will be useful for observational analyses and model evaluations of convection events at different scales.
Jinshi Jian, Xuan Du, Ryan D. Stewart, Zeli Tan, and Ben Bond-Lamberty
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2020-283, https://doi.org/10.5194/essd-2020-283, 2020
Preprint withdrawn
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Field soil loss due to surface runoff observations were compiled into a global database (SoilErosionDB). The database focuses on three erosion-related metrics – surface runoff, soil erosion, and nutrient leaching – and also records background information. Data from 99 geographic sites and 22 countries around the world have been compiled into SoilErosionDB. SoilErosionDB aims to be a data framework for the scientific community to share field-based soil erosion measurements.
Kurt C. Solander, Brent D. Newman, Alessandro Carioca de Araujo, Holly R. Barnard, Z. Carter Berry, Damien Bonal, Mario Bretfeld, Benoit Burban, Luiz Antonio Candido, Rolando Célleri, Jeffery Q. Chambers, Bradley O. Christoffersen, Matteo Detto, Wouter A. Dorigo, Brent E. Ewers, Savio José Filgueiras Ferreira, Alexander Knohl, L. Ruby Leung, Nate G. McDowell, Gretchen R. Miller, Maria Terezinha Ferreira Monteiro, Georgianne W. Moore, Robinson Negron-Juarez, Scott R. Saleska, Christian Stiegler, Javier Tomasella, and Chonggang Xu
Hydrol. Earth Syst. Sci., 24, 2303–2322, https://doi.org/10.5194/hess-24-2303-2020, https://doi.org/10.5194/hess-24-2303-2020, 2020
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We evaluate the soil moisture response in the humid tropics to El Niño during the three most recent super El Niño events. Our estimates are compared to in situ soil moisture estimates that span five continents. We find the strongest and most consistent soil moisture decreases in the Amazon and maritime southeastern Asia, while the most consistent increases occur over eastern Africa. Our results can be used to improve estimates of soil moisture in tropical ecohydrology models at multiple scales.
J. Michael Johnson, Dinuke Munasinghe, Damilola Eyelade, and Sagy Cohen
Nat. Hazards Earth Syst. Sci., 19, 2405–2420, https://doi.org/10.5194/nhess-19-2405-2019, https://doi.org/10.5194/nhess-19-2405-2019, 2019
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The coupled National Water Model (NWM)–Height Above Nearest Drainage flood mapping methodology provides the basis for operational flood forecasting across the continental United States. This paper evaluates how the method performs for 28 case studies using a historic archive of flood extents and a retrospective run of the NWM. We provide a summary of the results and discuss where the method is performing reliably, the general reasons for poor forecasts, and how the method might be improved.
Zhiyuan Hu, Jianping Huang, Chun Zhao, Yuanyuan Ma, Qinjian Jin, Yun Qian, L. Ruby Leung, Jianrong Bi, and Jianmin Ma
Atmos. Chem. Phys., 19, 12709–12730, https://doi.org/10.5194/acp-19-12709-2019, https://doi.org/10.5194/acp-19-12709-2019, 2019
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This study investigates aerosol chemical compositions and relative contributions to total aerosols in the western US. The results show that trans-Pacific aerosols have a maximum concentration in the boreal spring, with the greatest contribution from dust. Over western North America, the trans-Pacific aerosols dominate the column-integrated aerosol mass and number concentration. However, near the surface, aerosols mainly originated from local emissions.
Mingchen Ma, Yang Gao, Yuhang Wang, Shaoqing Zhang, L. Ruby Leung, Cheng Liu, Shuxiao Wang, Bin Zhao, Xing Chang, Hang Su, Tianqi Zhang, Lifang Sheng, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 19, 12195–12207, https://doi.org/10.5194/acp-19-12195-2019, https://doi.org/10.5194/acp-19-12195-2019, 2019
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Ozone pollution has become severe in China, and extremely high ozone episodes occurred in summer 2017 over the North China Plain. While meteorology impacts are clear, we find that enhanced biogenic emissions, previously ignored by the community, driven by high vapor pressure deficit, land cover change and urban landscape contribute substantially to ozone formation. This study has significant implications for ozone pollution control with more frequent heat waves and urbanization growth in future.
Sagy Cohen, Austin Raney, Dinuke Munasinghe, J. Derek Loftis, Andrew Molthan, Jordan Bell, Laura Rogers, John Galantowicz, G. Robert Brakenridge, Albert J. Kettner, Yu-Fen Huang, and Yin-Phan Tsang
Nat. Hazards Earth Syst. Sci., 19, 2053–2065, https://doi.org/10.5194/nhess-19-2053-2019, https://doi.org/10.5194/nhess-19-2053-2019, 2019
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Flooding is the most destructive natural disaster on Earth. Satellite and airborne imagery are commonly used for flood monitoring and response. While these remote sensing techniques are effective at providing the extent of flooding, they cannot be used to infer the depth of floodwater. This paper describes and analyzes version 2.0 of the Floodwater Depth Estimation Tool (FwDET). FwDET 2.0 offers an enhanced calculation algorithm for coastal regions and much-improved runtime.
Chun Zhao, Mingyue Xu, Yu Wang, Meixin Zhang, Jianping Guo, Zhiyuan Hu, L. Ruby Leung, Michael Duda, and William Skamarock
Geosci. Model Dev., 12, 2707–2726, https://doi.org/10.5194/gmd-12-2707-2019, https://doi.org/10.5194/gmd-12-2707-2019, 2019
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Simulations at global uniform and variable resolutions share similar characteristics of precipitation and wind in the refined region. The experiments reveal the significant impacts of resolution on simulating the distribution and intensity of precipitation and updrafts. This study provides evidence supporting the use of convection-permitting global variable-resolution simulations to study extreme precipitation.
Junxi Zhang, Yang Gao, L. Ruby Leung, Kun Luo, Huan Liu, Jean-Francois Lamarque, Jianren Fan, Xiaohong Yao, Huiwang Gao, and Tatsuya Nagashima
Atmos. Chem. Phys., 19, 887–900, https://doi.org/10.5194/acp-19-887-2019, https://doi.org/10.5194/acp-19-887-2019, 2019
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ACCMIP simulations were used to study NOy deposition over East Asia in the future. Both dry and wet NOy deposition show significant decreases in the 2100s under RCP4.5 and RCP8.5 due to large anthropogenic emission reduction. The changes in climate only significantly affect the wet deposition primarily linked to changes in precipitation. Over the coastal seas of China, weaker transport of NOy from land due to emission reduction infers a larger impact from shipping and lightning emissions.
Ge Zhang, Yang Gao, Wenju Cai, L. Ruby Leung, Shuxiao Wang, Bin Zhao, Minghuai Wang, Huayao Shan, Xiaohong Yao, and Huiwang Gao
Atmos. Chem. Phys., 19, 565–576, https://doi.org/10.5194/acp-19-565-2019, https://doi.org/10.5194/acp-19-565-2019, 2019
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Based on observed data, this study reveals a distinct seesaw feature of abnormally high and low PM2.5 concentrations in December 2015 and January 2016 over North China. The mechanism of the seesaw pattern was found to be linked to a super El Niño and the Arctic Oscillation (AO). During the mature phase of El Niño in December 2015, the weakened East Asian winter monsoon favors strong haze formation; however, the circulation pattern was reversed in the next month due to the phase change of the AO.
Junxi Zhang, Yang Gao, Kun Luo, L. Ruby Leung, Yang Zhang, Kai Wang, and Jianren Fan
Atmos. Chem. Phys., 18, 9861–9877, https://doi.org/10.5194/acp-18-9861-2018, https://doi.org/10.5194/acp-18-9861-2018, 2018
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We used a regional model to investigate the impact of atmosphere with high temperature and low wind speed on ozone concentration. When these compound events (heat waves and stagnant weather) occur simultaneously, a striking ozone enhancement is revealed. This type of compound event is projected to increase more dominantly compared to single events in the future over the US, Europe, and China, implying the importance of reducing emissions in order to alleviate the impact from the compound events.
Christine A. Shields, Jonathan J. Rutz, Lai-Yung Leung, F. Martin Ralph, Michael Wehner, Brian Kawzenuk, Juan M. Lora, Elizabeth McClenny, Tashiana Osborne, Ashley E. Payne, Paul Ullrich, Alexander Gershunov, Naomi Goldenson, Bin Guan, Yun Qian, Alexandre M. Ramos, Chandan Sarangi, Scott Sellars, Irina Gorodetskaya, Karthik Kashinath, Vitaliy Kurlin, Kelly Mahoney, Grzegorz Muszynski, Roger Pierce, Aneesh C. Subramanian, Ricardo Tome, Duane Waliser, Daniel Walton, Gary Wick, Anna Wilson, David Lavers, Prabhat, Allison Collow, Harinarayan Krishnan, Gudrun Magnusdottir, and Phu Nguyen
Geosci. Model Dev., 11, 2455–2474, https://doi.org/10.5194/gmd-11-2455-2018, https://doi.org/10.5194/gmd-11-2455-2018, 2018
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ARTMIP (Atmospheric River Tracking Method Intercomparison Project) is a community effort with the explicit goal of understanding the uncertainties, and the implications of those uncertainties, in atmospheric river science solely due to detection algorithm. ARTMIP strives to quantify these differences and provide guidance on appropriate algorithmic choices for the science question posed. Project goals, experimental design, and preliminary results are provided.
Kai Zhang, Philip J. Rasch, Mark A. Taylor, Hui Wan, Ruby Leung, Po-Lun Ma, Jean-Christophe Golaz, Jon Wolfe, Wuyin Lin, Balwinder Singh, Susannah Burrows, Jin-Ho Yoon, Hailong Wang, Yun Qian, Qi Tang, Peter Caldwell, and Shaocheng Xie
Geosci. Model Dev., 11, 1971–1988, https://doi.org/10.5194/gmd-11-1971-2018, https://doi.org/10.5194/gmd-11-1971-2018, 2018
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The conservation of total water is an important numerical feature for global Earth system models. Even small conservation problems in the water budget can lead to systematic errors in century-long simulations for sea level rise projection. This study quantifies and reduces various sources of water conservation error in the atmosphere component of the Energy Exascale Earth System Model.
Yaling Liu, Mohamad Hejazi, Hongyi Li, Xuesong Zhang, and Guoyong Leng
Geosci. Model Dev., 11, 1077–1092, https://doi.org/10.5194/gmd-11-1077-2018, https://doi.org/10.5194/gmd-11-1077-2018, 2018
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This hydrologic emulator provides researchers with an easy way to investigate the variations in water budgets at any spatial scale of interest, with minimum requirements of effort, reasonable model predictability, and appealing computational efficiency. We expect it to have a profound influence on scientific endeavors in hydrological modeling and to excite the immediate interest of researchers working on climate impact assessments, uncertainty/sensitivity analysis, and integrated assessment.
Yu Zhang, Ming Pan, Justin Sheffield, Amanda L. Siemann, Colby K. Fisher, Miaoling Liang, Hylke E. Beck, Niko Wanders, Rosalyn F. MacCracken, Paul R. Houser, Tian Zhou, Dennis P. Lettenmaier, Rachel T. Pinker, Janice Bytheway, Christian D. Kummerow, and Eric F. Wood
Hydrol. Earth Syst. Sci., 22, 241–263, https://doi.org/10.5194/hess-22-241-2018, https://doi.org/10.5194/hess-22-241-2018, 2018
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A global data record for all four terrestrial water budget variables (precipitation, evapotranspiration, runoff, and total water storage change) at 0.5° resolution and monthly scale for the period of 1984–2010 is developed by optimally merging a series of remote sensing products, in situ measurements, land surface model outputs, and atmospheric reanalysis estimates and enforcing the mass balance of water. Initial validations show the data record is reliable for climate related analysis.
Gautam Bisht, Maoyi Huang, Tian Zhou, Xingyuan Chen, Heng Dai, Glenn E. Hammond, William J. Riley, Janelle L. Downs, Ying Liu, and John M. Zachara
Geosci. Model Dev., 10, 4539–4562, https://doi.org/10.5194/gmd-10-4539-2017, https://doi.org/10.5194/gmd-10-4539-2017, 2017
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A fully coupled three-dimensional surface and subsurface land model, CP v1.0, was developed to simulate three-way interactions among river water, groundwater, and land surface processes. The coupled model can be used for improving mechanistic understanding of ecosystem functioning and biogeochemical cycling along river corridors under historical and future hydroclimatic changes. The dataset presented in this study can also serve as a good benchmarking case for testing other integrated models.
Xing Yuan, Miao Zhang, Linying Wang, and Tian Zhou
Hydrol. Earth Syst. Sci., 21, 5477–5492, https://doi.org/10.5194/hess-21-5477-2017, https://doi.org/10.5194/hess-21-5477-2017, 2017
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Understanding and forecasting of hydrological drought in the Anthropocene are grand challenges. Human interventions exacerbate hydrological drought conditions and result in earlier drought onset. By considering their effects in the forecast, the probabilistic drought forecast skill increases for both climate-model-based and climatology methods but their difference decreases, suggesting that human interventions can outweigh the climate variability for drought forecasting in the Anthropocene.
Randal D. Koster, Alan K. Betts, Paul A. Dirmeyer, Marc Bierkens, Katrina E. Bennett, Stephen J. Déry, Jason P. Evans, Rong Fu, Felipe Hernandez, L. Ruby Leung, Xu Liang, Muhammad Masood, Hubert Savenije, Guiling Wang, and Xing Yuan
Hydrol. Earth Syst. Sci., 21, 3777–3798, https://doi.org/10.5194/hess-21-3777-2017, https://doi.org/10.5194/hess-21-3777-2017, 2017
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Large-scale hydrological variability can affect society in profound ways; floods and droughts, for example, often cause major damage and hardship. A recent gathering of hydrologists at a symposium to honor the career of Professor Eric Wood motivates the present survey of recent research on this variability. The surveyed literature and the illustrative examples provided in the paper show that research into hydrological variability continues to be strong, vibrant, and multifaceted.
Shi Zhong, Yun Qian, Chun Zhao, Ruby Leung, Hailong Wang, Ben Yang, Jiwen Fan, Huiping Yan, Xiu-Qun Yang, and Dongqing Liu
Atmos. Chem. Phys., 17, 5439–5457, https://doi.org/10.5194/acp-17-5439-2017, https://doi.org/10.5194/acp-17-5439-2017, 2017
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An online climate–chemistry coupled model (WRF-Chem) is integrated for 5 years at cloud-permitting scale to quantify the impacts of urbanization-induced changes in land cover and pollutants emission on regional climate in the Yangtze River Delta region in eastern China. Urbanization over this region increases the frequency of extreme precipitation and heat wave in summer. The results could help China government in making policies in mitigating the environmental impact of urbanization.
Xiangyu Luo, Hong-Yi Li, L. Ruby Leung, Teklu K. Tesfa, Augusto Getirana, Fabrice Papa, and Laura L. Hess
Geosci. Model Dev., 10, 1233–1259, https://doi.org/10.5194/gmd-10-1233-2017, https://doi.org/10.5194/gmd-10-1233-2017, 2017
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This study shows that alleviating vegetation-caused biases in DEM data, refining channel cross-sectional geometry and Manning roughness coefficients, as well as accounting for backwater effects can effectively improve the modeling of streamflow, river stages and flood extent in the Amazon Basin. The obtained understanding could be helpful to hydrological modeling in basins with evident inundation, which has important implications for improving land–atmosphere interactions in Earth system models.
Monica H. Stone and Sagy Cohen
Nat. Hazards Earth Syst. Sci., 17, 439–447, https://doi.org/10.5194/nhess-17-439-2017, https://doi.org/10.5194/nhess-17-439-2017, 2017
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This research was conducted in order to determine what effect a longer hurricane season is likely to have on flooding risk in the southeastern United States. We found that an extension of the hurricane season to May–December (just 2 months longer) increased the number of days that would be at risk to flooding were the average tropical cyclone to occur by 28–180 %. This is signifiant, as global climate change is likely to increase sea surface temperatures and extend the hurricane season.
Teklu K. Tesfa and Lai-Yung Ruby Leung
Geosci. Model Dev., 10, 873–888, https://doi.org/10.5194/gmd-10-873-2017, https://doi.org/10.5194/gmd-10-873-2017, 2017
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Motivated by the significant topographic influence on land surface processes, this study explored two methods to discretize watersheds into two types of subgrid structures to capture spatial heterogeneity for land surface models. Adopting geomorphologic concepts in watershed discretization yields improved capability in capturing subgrid topographic heterogeneity, which also allowed climatic and land cover variability to be better represented with a nominal increase in computational requirements.
Sagy Cohen, Tal Svoray, Shai Sela, Greg Hancock, and Garry Willgoose
Earth Surf. Dynam., 5, 101–112, https://doi.org/10.5194/esurf-5-101-2017, https://doi.org/10.5194/esurf-5-101-2017, 2017
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Soil-depleted hillslopes across the Mediterranean and Europe are thought to be the result of human activity in the last 2–5 millennia. We study a site on the margin between Mediterranean and desert climates which was subject to intense wind-borne soil accumulation for tens of thousands of years but is now mostly bare. Using a numerical simulator we investigated the processes that may have led to this landscape and identified the specific signatures of different processes and drivers.
Jiwen Fan, L. Ruby Leung, Daniel Rosenfeld, and Paul J. DeMott
Atmos. Chem. Phys., 17, 1017–1035, https://doi.org/10.5194/acp-17-1017-2017, https://doi.org/10.5194/acp-17-1017-2017, 2017
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How orographic mixed-phase clouds respond to changes in cloud condensation nuclei (CCN) and ice nucleating particles (INPs) is highly uncertain. We conducted this study to improve understanding of these processes. We found a new mechanism through which CCN can invigorate orographic mixed-phase clouds and drastically intensify snow precipitation when CCN concentrations are high. Our findings have very important implications for orographic precipitation in polluted regions.
Reindert J. Haarsma, Malcolm J. Roberts, Pier Luigi Vidale, Catherine A. Senior, Alessio Bellucci, Qing Bao, Ping Chang, Susanna Corti, Neven S. Fučkar, Virginie Guemas, Jost von Hardenberg, Wilco Hazeleger, Chihiro Kodama, Torben Koenigk, L. Ruby Leung, Jian Lu, Jing-Jia Luo, Jiafu Mao, Matthew S. Mizielinski, Ryo Mizuta, Paulo Nobre, Masaki Satoh, Enrico Scoccimarro, Tido Semmler, Justin Small, and Jin-Song von Storch
Geosci. Model Dev., 9, 4185–4208, https://doi.org/10.5194/gmd-9-4185-2016, https://doi.org/10.5194/gmd-9-4185-2016, 2016
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Recent progress in computing power has enabled climate models to simulate more processes in detail and on a smaller scale. Here we present a common protocol for these high-resolution runs that will foster the analysis and understanding of the impact of model resolution on the simulated climate. These runs will also serve as a more reliable source for assessing climate risks that are associated with small-scale weather phenomena such as tropical cyclones.
Zeli Tan, Qianlai Zhuang, Daven K. Henze, Christian Frankenberg, Ed Dlugokencky, Colm Sweeney, Alexander J. Turner, Motoki Sasakawa, and Toshinobu Machida
Atmos. Chem. Phys., 16, 12649–12666, https://doi.org/10.5194/acp-16-12649-2016, https://doi.org/10.5194/acp-16-12649-2016, 2016
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Methane emissions from the pan-Arctic could be important in understanding the global carbon cycle but are still poorly constrained to date. This study demonstrated that satellite retrievals can be used to reduce the uncertainty of the estimates of these emissions. We also provided additional evidence for the existence of large methane emissions from pan-Arctic lakes in the Siberian yedoma permafrost region. We found that biogeochemical models should be improved for better estimates.
W. D. Dimuth P. Welivitiya, Garry R. Willgoose, Greg R. Hancock, and Sagy Cohen
Earth Surf. Dynam., 4, 607–625, https://doi.org/10.5194/esurf-4-607-2016, https://doi.org/10.5194/esurf-4-607-2016, 2016
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This paper generalises the physical dependence of the relationship between contributing area, local slope, and the surface soil grading first described by Cohen et al. (2009, 2010) using a soil evolution model called SSSPAM. We show the influence of weathering on the equilibrium soil profile and its spatial distribution. We conclude that the soil grading relationship is robust and will occur for most equilibrium soils. This spatial organisation is also true below the surface.
Bin Zhao, Kuo-Nan Liou, Yu Gu, Cenlin He, Wee-Liang Lee, Xing Chang, Qinbin Li, Shuxiao Wang, Hsien-Liang R. Tseng, Lai-Yung R. Leung, and Jiming Hao
Atmos. Chem. Phys., 16, 5841–5852, https://doi.org/10.5194/acp-16-5841-2016, https://doi.org/10.5194/acp-16-5841-2016, 2016
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We examine the impact of buildings on surface solar fluxes in Beijing by accounting for their 3-D structures. We find that inclusion of buildings changes surface solar fluxes by within ±1 W m−2, ±1–10 W m−2, and up to ±100 W m−2 at grid resolutions of 4 km, 800 m, and 90 m, respectively. We can resolve pairs of positive-negative flux deviations on different sides of buildings at ≤ 800 m resolutions. We should treat building-effect on solar fluxes differently in models with different resolutions.
Zhiyuan Hu, Chun Zhao, Jianping Huang, L. Ruby Leung, Yun Qian, Hongbin Yu, Lei Huang, and Olga V. Kalashnikova
Geosci. Model Dev., 9, 1725–1746, https://doi.org/10.5194/gmd-9-1725-2016, https://doi.org/10.5194/gmd-9-1725-2016, 2016
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This study conducts the simulation of WRF-Chem with the quasi-global configuration for 2010–2014, and evaluates the simulation with multiple observation datasets for the first time. This study demonstrates that the WRF-Chem quasi-global simulation can be used for investigating trans-Pacific transport of aerosols and providing reasonable inflow chemical boundaries for the western USA to further understand the impact of transported pollutants on the regional air quality and climate.
Fuqiang Tian, Yu Sun, Hongchang Hu, and Hongyi Li
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-88, https://doi.org/10.5194/hess-2016-88, 2016
Preprint withdrawn
C. He, K.-N. Liou, Y. Takano, R. Zhang, M. Levy Zamora, P. Yang, Q. Li, and L. R. Leung
Atmos. Chem. Phys., 15, 11967–11980, https://doi.org/10.5194/acp-15-11967-2015, https://doi.org/10.5194/acp-15-11967-2015, 2015
W.-L. Lee, Y. Gu, K. N. Liou, L. R. Leung, and H.-H. Hsu
Atmos. Chem. Phys., 15, 5405–5413, https://doi.org/10.5194/acp-15-5405-2015, https://doi.org/10.5194/acp-15-5405-2015, 2015
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This paper investigates 3-D mountain effects on solar flux distributions and their impact on surface hydrology over the western United States, specifically the Rocky Mountains and the Sierra Nevada, using the global CCSM4 (CAM4/CLM4) with a 0.23°×0.31° resolution for simulations over 6 years. We show that deviations in the net surface fluxes are not only affected by 3-D mountains but also influenced by feedbacks of cloud and snow in association with the long-term simulations.
Y. Fang, C. Liu, and L. R. Leung
Geosci. Model Dev., 8, 781–789, https://doi.org/10.5194/gmd-8-781-2015, https://doi.org/10.5194/gmd-8-781-2015, 2015
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1. A gradient projection method was used to reduce the computation time of carbon-nitrogen spin-up processes in CLM4.
2. Point-scale simulations showed that the cyclic stability of total carbon for some cases differs from that of the periodic atmospheric forcing, and some cases even showed instability.
3. The instability issue is resolved after the hydrology scheme in CLM4 is replaced with a flow model for variably saturated porous media.
C. Zhao, Z. Hu, Y. Qian, L. Ruby Leung, J. Huang, M. Huang, J. Jin, M. G. Flanner, R. Zhang, H. Wang, H. Yan, Z. Lu, and D. G. Streets
Atmos. Chem. Phys., 14, 11475–11491, https://doi.org/10.5194/acp-14-11475-2014, https://doi.org/10.5194/acp-14-11475-2014, 2014
T. K. Tesfa, H.-Y. Li, L. R. Leung, M. Huang, Y. Ke, Y. Sun, and Y. Liu
Geosci. Model Dev., 7, 947–963, https://doi.org/10.5194/gmd-7-947-2014, https://doi.org/10.5194/gmd-7-947-2014, 2014
J. Fan, L. R. Leung, P. J. DeMott, J. M. Comstock, B. Singh, D. Rosenfeld, J. M. Tomlinson, A. White, K. A. Prather, P. Minnis, J. K. Ayers, and Q. Min
Atmos. Chem. Phys., 14, 81–101, https://doi.org/10.5194/acp-14-81-2014, https://doi.org/10.5194/acp-14-81-2014, 2014
Y. Sun, Z. Hou, M. Huang, F. Tian, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 17, 4995–5011, https://doi.org/10.5194/hess-17-4995-2013, https://doi.org/10.5194/hess-17-4995-2013, 2013
K. N. Liou, Y. Gu, L. R. Leung, W. L. Lee, and R. G. Fovell
Atmos. Chem. Phys., 13, 11709–11721, https://doi.org/10.5194/acp-13-11709-2013, https://doi.org/10.5194/acp-13-11709-2013, 2013
N. Voisin, L. Liu, M. Hejazi, T. Tesfa, H. Li, M. Huang, Y. Liu, and L. R. Leung
Hydrol. Earth Syst. Sci., 17, 4555–4575, https://doi.org/10.5194/hess-17-4555-2013, https://doi.org/10.5194/hess-17-4555-2013, 2013
Y. Fang, M. Huang, C. Liu, H. Li, and L. R. Leung
Geosci. Model Dev., 6, 1977–1988, https://doi.org/10.5194/gmd-6-1977-2013, https://doi.org/10.5194/gmd-6-1977-2013, 2013
C. Zhao, S. Chen, L. R. Leung, Y. Qian, J. F. Kok, R. A. Zaveri, and J. Huang
Atmos. Chem. Phys., 13, 10733–10753, https://doi.org/10.5194/acp-13-10733-2013, https://doi.org/10.5194/acp-13-10733-2013, 2013
N. Voisin, H. Li, D. Ward, M. Huang, M. Wigmosta, and L. R. Leung
Hydrol. Earth Syst. Sci., 17, 3605–3622, https://doi.org/10.5194/hess-17-3605-2013, https://doi.org/10.5194/hess-17-3605-2013, 2013
Y. Ke, L. R. Leung, M. Huang, and H. Li
Geosci. Model Dev., 6, 1609–1622, https://doi.org/10.5194/gmd-6-1609-2013, https://doi.org/10.5194/gmd-6-1609-2013, 2013
H. Wan, P. J. Rasch, K. Zhang, J. Kazil, and L. R. Leung
Geosci. Model Dev., 6, 861–874, https://doi.org/10.5194/gmd-6-861-2013, https://doi.org/10.5194/gmd-6-861-2013, 2013
Related subject area
Subject: Biogeochemical processes | Techniques and Approaches: Modelling approaches
Groundwater flow paths drive longitudinal patterns of stream dissolved organic carbon (DOC) concentrations in boreal landscapes
Water level variation at a beaver pond significantly impacts net CO2 uptake of a continental bog
A method for predicting hydrogen and oxygen isotope distributions across a region's river network using reach-scale environmental attributes
Hydrological control of dissolved organic carbon dynamics in a rehabilitated Sphagnum-dominated peatland: a water-table based modelling approach
A systematic examination of the relationships between CDOM and DOC in inland waters in China
Effects of mountain tea plantations on nutrient cycling at upstream watersheds
Technical Note: Alternative in-stream denitrification equation for the INCA-N model
A generalized Damköhler number for classifying material processing in hydrological systems
A new top boundary condition for modeling surface diffusive exchange of a generic volatile tracer: theoretical analysis and application to soil evaporation
Modelling soil temperature and moisture and corresponding seasonality of photosynthesis and transpiration in a boreal spruce ecosystem
Soil weathering rates in 21 catchments of the Canadian Shield
Parameterization of a coupled CO2 and H2O gas exchange model at the leaf scale of Populus euphratica
Anna Lupon, Stefan Willem Ploum, Jason Andrew Leach, Lenka Kuglerová, and Hjalmar Laudon
Hydrol. Earth Syst. Sci., 27, 613–625, https://doi.org/10.5194/hess-27-613-2023, https://doi.org/10.5194/hess-27-613-2023, 2023
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Discrete riparian inflow points (DRIPs) transport dissolved organic carbon (DOC) from large areas to discrete sections of streams, yet the mechanisms by which DRIPs affect stream DOC concentration, cycling, and export are still unknown. Here, we tested four models that account for different hydrologic and biological representations to show that DRIPs generally reduce DOC exports by either diluting stream DOC (snowmelt period) or promoting aquatic metabolism (summer).
Hongxing He, Tim Moore, Elyn R. Humphreys, Peter M. Lafleur, and Nigel T. Roulet
Hydrol. Earth Syst. Sci., 27, 213–227, https://doi.org/10.5194/hess-27-213-2023, https://doi.org/10.5194/hess-27-213-2023, 2023
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We applied CoupModel to quantify the impacts of natural and human disturbances to adjacent water bodies in regulating net CO2 uptake of northern peatlands. We found that 1 m drops of the water level at the beaver pond lower the peatland water table depth 250 m away by 0.15 m and reduce the peatland net CO2 uptake by 120 g C m-2 yr-1. Therefore, although bogs are ombrotrophic rainfed systems, the boundary hydrological conditions play an important role in regulating water storage and CO2 uptake.
Bruce D. Dudley, Jing Yang, Ude Shankar, and Scott L. Graham
Hydrol. Earth Syst. Sci., 26, 4933–4951, https://doi.org/10.5194/hess-26-4933-2022, https://doi.org/10.5194/hess-26-4933-2022, 2022
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Stable isotope ratios (isotope values) of surface water reflect hydrological pathways, mixing processes, and atmospheric exchange within catchments. We used a water-balance-based mapping method, which represents patterns of surface flow and mixing, and added a regression-based correction step using catchment environmental characteristics to map water isotope ratios across all the rivers of New Zealand.
Léonard Bernard-Jannin, Stéphane Binet, Sébastien Gogo, Fabien Leroy, Christian Défarge, Nevila Jozja, Renata Zocatelli, Laurent Perdereau, and Fatima Laggoun-Défarge
Hydrol. Earth Syst. Sci., 22, 4907–4920, https://doi.org/10.5194/hess-22-4907-2018, https://doi.org/10.5194/hess-22-4907-2018, 2018
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Peatlands are a major stock of carbon that can be released as dissolved organic carbon (DOC), affecting carbon balance and downstream water quality. This study investigates the impact of peatland restoration on water balance and DOC exports using a simple modelling approach. The results suggest that the restoration can affect the water balance and the dynamics of DOC in the peatland. However, there is no major impact in the quantity of DOC released in a short-term period (3 years).
Kaishan Song, Ying Zhao, Zhidan Wen, Chong Fang, and Yingxin Shang
Hydrol. Earth Syst. Sci., 21, 5127–5141, https://doi.org/10.5194/hess-21-5127-2017, https://doi.org/10.5194/hess-21-5127-2017, 2017
T.-C. Lin, P.-J. L. Shaner, L.-J. Wang, Y.-T. Shih, C.-P. Wang, G.-H. Huang, and J.-C. Huang
Hydrol. Earth Syst. Sci., 19, 4493–4504, https://doi.org/10.5194/hess-19-4493-2015, https://doi.org/10.5194/hess-19-4493-2015, 2015
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We summarize our findings as follows: (1) the mountain watersheds are vulnerable to agriculture expansion; (2) proper spatial configuration of agricultural lands in mountain watersheds can mitigate the impact of agriculture on NO3- output by 70%; and (3) the reconstructed element fluxes for the watersheds indicate excessive leaching of N and P, and additional loss of N to the atmosphere via volatilization and denitrification, which likely resulted from excessive fertilizer use.
J. R. Etheridge, F. Birgand, M. R. Burchell II, A. Lepistö, K. Rankinen, and K. Granlund
Hydrol. Earth Syst. Sci., 18, 1467–1473, https://doi.org/10.5194/hess-18-1467-2014, https://doi.org/10.5194/hess-18-1467-2014, 2014
C. E. Oldham, D. E. Farrow, and S. Peiffer
Hydrol. Earth Syst. Sci., 17, 1133–1148, https://doi.org/10.5194/hess-17-1133-2013, https://doi.org/10.5194/hess-17-1133-2013, 2013
J. Y. Tang and W. J. Riley
Hydrol. Earth Syst. Sci., 17, 873–893, https://doi.org/10.5194/hess-17-873-2013, https://doi.org/10.5194/hess-17-873-2013, 2013
S. H. Wu and P.-E. Jansson
Hydrol. Earth Syst. Sci., 17, 735–749, https://doi.org/10.5194/hess-17-735-2013, https://doi.org/10.5194/hess-17-735-2013, 2013
D. Houle, P. Lamoureux, N. Bélanger, M. Bouchard, C. Gagnon, S. Couture, and A. Bouffard
Hydrol. Earth Syst. Sci., 16, 685–697, https://doi.org/10.5194/hess-16-685-2012, https://doi.org/10.5194/hess-16-685-2012, 2012
G. F. Zhu, X. Li, Y. H. Su, and C. L. Huang
Hydrol. Earth Syst. Sci., 14, 419–431, https://doi.org/10.5194/hess-14-419-2010, https://doi.org/10.5194/hess-14-419-2010, 2010
Cited articles
Abeshu, G. W., Li, H.-Y., Zhu, Z., Tan, Z., and Leung, L. R.: Median bed-material sediment particle size across rivers in the contiguous U.S., Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2021-201, in review, 2021.
An, C., Moodie, A. J., Ma, H., Fu, X., Zhang, Y., Naito, K., and Parker, G.:
Morphodynamic model of the lower Yellow River: Flux or entrainment form for
sediment mass conservation?, Earth Surf. Dynam., 6, 989–1010,
https://doi.org/10.5194/esurf-6-989-2018, 2018.
An, C., Gong, Z., Naito, K., Parker, G., Hassan, M. A., Ma, H., and Fu, X.:
Grain Size-Specific Engelund-Hansen Type Relation for Bed Material Load in
Sand-Bed Rivers, With Application to the Mississippi River, Water Resour.
Res., 57, e2020WR027517, https://doi.org/10.1029/2020WR027517, 2021.
Berhe, A. A., Barnes, R. T., Six, J., and Marín-Spiotta, E.: Role of Soil Erosion in Biogeochemical Cycling of Essential Elements: Carbon, Nitrogen, and Phosphorus, Annu. Rev. Earth Planet. Sci., 46, 521–548,
https://doi.org/10.1146/annurev-earth-082517-010018, 2018.
Biedenharn, D. S., Hubbard, L. C., Thorne, C. R., and Watson, C. C.:
Understanding sediment sources, pathways and sinks in regional sediment
management: Wash load and bed-material load concept, SWWRP Technical Notes
Collection, ERDC TN-SWWRP-06-3, US Army Engineer Research and Development Center, Vicksburg, MS, 2006.
Bieger, K., Rathjens, H., Allen, P. M., and Arnold, J. G.: Development and
Evaluation of Bankfull Hydraulic Geometry Relationships for the
Physiographic Regions of the United States, J. Am. Water Resour. Assoc., 51,
JAWRA-13-0228-P, https://doi.org/10.1111/jawr.12282, 2015.
Brownlie, W. R.: Flow Depth in Sand-Bed Channels, J. Hydraul. Eng., 109,
959–990, https://doi.org/10.1061/(asce)0733-9429(1983)109:7(959), 1983.
Brune, G. M.: Trap efficiency of reservoirs, Eos Trans. Am. Geophys. Union,
34, 407–418, https://doi.org/10.1029/TR034i003p00407, 1953.
Caldwell, P. M., Mametjanov, A., Tang, Q., Van Roekel, L. P., Golaz, J.-C.,
Lin, W., Bader, D. C., Keen, N. D., Feng, Y., Jacob, R., Maltrud, M. E., Roberts, A. F., Taylor, M. A., Veneziani, M., Wang, H., Wolfe, J. D., Balaguru, K., Cameron-Smith, P., Dong, L., Klein, S. A., Leung, L. R., Li,
H.-Y., Li, Q., Liu, X., Neale, R. B., Pinheiro, M., Qian, Y., Ullrich, P.
A., Xie, S., Yang, Y., Zhang, Y., Zhang, K., and Zhou, T.: The DOE E3SM
Coupled Model Version 1: Description and Results at High Resolution, J. Adv.
Model. Earth Syst., 11, 4095–4146, https://doi.org/10.1029/2019MS001870, 2019.
Chen, T. and Guestrin, C.: XGBoost: A Scalable Tree Boosting System, in:
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining, August 2016, San Francisco, California, 785–794, 2016.
Cheng, N.-S.: Simplified Settling Velocity Formula for Sediment Particle, J.
Hydraul. Eng., 123, 149–152, https://doi.org/10.1061/(asce)0733-9429(1997)123:2(149), 1997.
Church, M. and Ferguson, R. I.: Morphodynamics: Rivers beyond steady state,
Water Resour. Res., 51, 1883–1897, https://doi.org/10.1002/2014WR016862, 2015.
Cohen, S., Kettner, A. J., Syvitski, J. P. M., and Fekete, B. M.: WBMsed, a
distributed global-scale riverine sediment flux model: Model description and
validation, Comput. Geosci., 53, 80–93, https://doi.org/10.1016/j.cageo.2011.08.011, 2013.
Cohen, S., Kettner, A. J., and Syvitski, J. P. M.: Global suspended sediment
and water discharge dynamics between 1960 and 2010: Continental trends and
intra-basin sensitivity, Global Planet. Change, 115, 44–58,
https://doi.org/10.1016/j.gloplacha.2014.01.011, 2014.
Crosato, A. and Mosselman, E.: Simple physics-based predictor for the number
of river bars and the transition between meandering and braiding, Water
Resour. Res., 45, W03424, https://doi.org/10.1029/2008WR007242, 2009.
Crosato, A., Mosselman, E., Beidmariam Desta, F., and Uijttewaal, W. S. J.:
Experimental and numerical evidence for intrinsic nonmigrating bars in
alluvial channels, Water Resour. Res., 47, W03511, https://doi.org/10.1029/2010WR009714, 2011.
Czuba, J. A., Foufoula-Georgiou, E., Gran, K. B., Belmont, P., and Wilcock,
P. R.: Interplay between spatially explicit sediment sourcing, hierarchical
river-network structure, and in-channel bed material sediment transport and
storage dynamics, J. Geophys. Res.-Earth, 122, 1090–1120, https://doi.org/10.1002/2016JF003965, 2017.
Darby, S. E., Alabyan, A. M., and Van de Wiel, M. J.: Numerical simulation
of bank erosion and channel migration in meandering rivers, Water Resour.
Res., 38, 2-1–2-21, https://doi.org/10.1029/2001wr000602, 2002.
Einstein, H. A., Anderson, A. G., and Johnson, J. W.: A distinction between
bed-load and suspended load in natural streams, Eos Trans. Am. Geophys.
Union, 21, 628–633, https://doi.org/10.1029/TR021i002p00628, 1940.
Engelund, F. and Hansen, E.: A monograph on sediment transport in alluvial
streams, Technisk Vorlag, Copenhagen, Denmark, 1967.
E3SM Project, DOE: Energy Exascale Earth System Model v1.3, Computer Software, E3SM [code], https://doi.org/10.11578/E3SM/dc.20210924.5, 2019.
Fang, H. W., Lai, H. J., Cheng, W., Huang, L., and He, G. J.: Modeling sediment transport with an integrated view of the biofilm effects, Water
Resour. Res., 53, 7536–7557, https://doi.org/10.1002/2017WR020628, 2017.
Ferguson, R. I., Church, M., Rennie, C. D., and Venditti, J. G.: Reconstructing a sediment pulse: Modeling the effect of placer mining on
Fraser River, Canada, J. Geophys. Res.-Earth, 120, 1436–1454, https://doi.org/10.1002/2015JF003491, 2015.
Garcia, M. H. (Ed.): Sedimentation Engineering: Processes, Measurements,
Modeling, and Practice, ASCE Manual 110, American Society of Civil
Engineers, Reston, VA, USA, 1150 pp., 2008.
Geleynse, N., Storms, J. E. A., Walstra, D. J. R., Jagers, H. R. A., Wang, Z. B., and Stive, M. J. F.: Controls on river delta formation; insights from numerical modelling, Earth Planet. Sc. Lett., 302, 217–226, https://doi.org/10.1016/j.epsl.2010.12.013, 2011.
Getirana, A., Dutra, E., Guimberteau, M., Kam, J., Li, H. Y., Decharme, B.,
Zhang, Z., Ducharne, A., Boone, A., Balsamo, G., Rodell, M., Toure, A. M., Xue, Y., Peters-Lidard, C. D., Kumar, S. V., Arsenault, K., Drapeau, G., Leung, L. R., Ronchail, J., and Sheffield, J.: Water balance in the amazon
basin from a land surface model ensemble, J. Hydrometeorol., 15, 2586–2614,
https://doi.org/10.1175/JHM-D-14-0068.1, 2014.
Getirana, A., Kumar, S. V., Konapala, G., and Ndehedehe, C. E.: Impacts of Fully Coupling Land Surface and Flood Models on the Simulation of Large
Wetlands' Water Dynamics: The Case of the Inner Niger Delta, J. Adv. Model.
Earth Syst., 13, e2021MS002463, https://doi.org/10.1029/2021MS002463, 2021.
Golaz, J. C., Caldwell, P. M., Van Roekel, L. P., Petersen, M. R., Tang, Q.,
Wolfe, J. D., Abeshu, G., Anantharaj, V., Asay-Davis, X. S., Bader, D. C., Baldwin, S. A., Bisht, G., Bogenschutz, P. A., Branstetter, M., Brunke, M.
A., Brus, S. R., Burrows, S. M., Cameron-Smith, P. J., Donahue, A. S., Deakin, M., Easter, R. C., Evans, K. J., Feng, Y., Flanner, M., Foucar, J. G., Fyke, J. G., Griffin, B. M., Hannay, C., Harrop, B. E., Hoffman, M. J.,
Hunke, E. C., Jacob, R. L., Jacobsen, D. W., Jeffery, N., Jones, P. W.,
Keen, N. D., Klein, S. A., Larson, V. E., Leung, L. R., Li, H. Y., Lin, W.,
Lipscomb, W. H., Ma, P. L., Mahajan, S., Maltrud, M. E., Mametjanov, A.,
McClean, J. L., McCoy, R. B., Neale, R. B., Price, S. F., Qian, Y., Rasch, P. J., Reeves Eyre, J. E. J., Riley, W. J., Ringler, T. D., Roberts, A. F., Roesler, E. L., Salinger, A. G., Shaheen, Z., Shi, X., Singh, B., Tang, J.,
Taylor, M. A., Thornton, P. E., Turner, A. K., Veneziani, M., Wan, H., Wang, H., Wang, S., Williams, D. N., Wolfram, P. J., Worley, P. H., Xie, S., Yang,
Y., Yoon, J. H., Zelinka, M. D., Zender, C. S., Zeng, X., Zhang, C., Zhang,
K., Zhang, Y., Zheng, X., Zhou, T., and Zhu, Q.: The DOE E3SM Coupled Model
Version 1: Overview and Evaluation at Standard Resolution, J. Adv. Model.
Earth Syst., 11, 2089–2129, https://doi.org/10.1029/2018MS001603, 2019.
Greimann, B., Lai, Y., and Huang, J.: Two-Dimensional Total Sediment Load
Model Equations, J. Hydraul. Eng., 134, 1142–1146,
https://doi.org/10.1061/(asce)0733-9429(2008)134:8(1142), 2008.
Groten, J. T. and Johnson, G. D.: Comparability of River SuspendedSediment
Sampling and Laboratory Analysis Methods, Scientific Investigations Report 2018-5023, US Geological Survey.
https://pubs.usgs.gov/sir/2018/5023/sir20185023.pdf (last access: 2 February 2022), 2018.
Gupta, H. V., Kling, H., Yilmaz, K. K., and Martinez, G. F.: Decomposition
of the mean squared error and NSE performance criteria: Implications for
improving hydrological modelling, J. Hydrol., 377, 80–91, https://doi.org/10.1016/j.jhydrol.2009.08.003, 2009.
Holeman, J. N.: The Sediment Yield of Major Rivers of the World, Water Resour. Res., 4, 737–747, https://doi.org/10.1029/WR004i004p00737, 1968.
Holly, F. M. and Rahuel, J.-L.: New numerical/physical framework for
mobile-bed modelling, J. Hydraul. Res., 28, 401–416, https://doi.org/10.1080/00221689009499057, 1990.
Kirwan, M. L. and Megonigal, J. P.: Tidal wetland stability in the face of
human impacts and sea-level rise, Nature 504, 53–60, https://doi.org/10.1038/nature12856, 2013.
Kleinhans, M. G., Jagers, H. R. A., Mosselman, E., and Sloff, C. J.:
Bifurcation dynamics and avulsion duration in meandering rivers by
one-dimensional and three-dimensional models, Water Resour. Res., 44, W08454, https://doi.org/10.1029/2007WR005912, 2008.
Knoben, W. J. M., Freer, J. E., and Woods, R. A.: Technical note: Inherent benchmark or not? Comparing Nash–Sutcliffe and Kling–Gupta efficiency scores, Hydrol. Earth Syst. Sci., 23, 4323–4331, https://doi.org/10.5194/hess-23-4323-2019, 2019.
Lal, R.: Soil erosion and the global carbon budget, Environ. Int., 29, 437–450, https://doi.org/10.1016/S0160-4120(02)00192-7, 2003.
Lal, R.: Soil carbon sequestration impacts on global climate change and food
security, Science, 304, 1623–1627, https://doi.org/10.1126/science.1097396, 2004.
Lamb, M. P. and Venditti, J. G.: The grain size gap and abrupt gravel-sand
transitions in rivers due to suspension fallout, Geophys. Res. Lett., 43,
3777–3785, https://doi.org/10.1002/2016GL068713, 2016.
Lane, E. W.: Report of the Subcommittee on Sediment Terminology, Eos Trans.
Am. Geophys. Union, 28, 936–938, https://doi.org/10.1029/TR028i006p00936, 1947.
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C.,
Bonan, G., Collier, N., Ghimire, B., Kampenhout, L., Kennedy, D., Kluzek, E., Lawrence, P. J., Li, F., Li, H., Lombardozzi, D., Riley, W. J., Sacks, W. J., Shi, M., Vertenstein, M., Wieder, W. R., Xu, C., Ali, A. A., Badger, A. M., Bisht, G., Broeke, M., Brunke, M. A., Burns, S. P., Buzan, J., Clark, M., Craig, A., Dahlin, K., Drewniak, B., Fisher, J. B., Flanner, M., Fox, A. M., Gentine, P., Hoffman, F., Keppel-Aleks, G., Knox, R., Kumar, S., Lenaerts, J., Leung, L. R., Lipscomb, W. H., Lu, Y., Pandey, A., Pelletier, J. D., Perket, J., Randerson, J. T., Ricciuto, D. M., Sanderson, B. M., Slater, A., Subin, Z. M., Tang, J., Thomas, R. Q., Val Martin, M., and Zeng, X.: The Community Land Model version 5: Description of new features, benchmarking, and impact of forcing uncertainty, J. Adv. Model. Earth Syst., 2, 1–43, https://doi.org/10.1029/2018ms001583, 2019.
Lee, H.-Y., Hsieh, H.-M., Yang, J.-C., and Yang, C. T.: Quasi–Two-Dimensional Simulation of Scour and Deposition in Alluvial
Channels, J. Hydraul. Eng., 123, 600–609, https://doi.org/10.1061/(asce)0733-9429(1997)123:7(600), 1997.
Lehner, B., Liermann, C. R., Revenga, C., Vörömsmarty, C., Fekete,
B., Crouzet, P., Döll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J. C., Rödel, R., Sindorf, N., and Wisser, D.: High-resolution mapping of the world's reservoirs and dams for sustainable
river-flow management, Front. Ecol. Environ., 9, 494–502, https://doi.org/10.1890/100125, 2011.
Lewis, S. E., Bainbridge, Z. T., Kuhnert, P. M., Sherman, B. S., Henderson,
B., Dougall, C., Cooper, M., and Brodie, J. E.: Calculating sediment trapping efficiencies for reservoirs in tropical settings: A case study from the Burdekin Falls Dam, NE Australia, Water Resour. Res., 49, 1017–1029,
https://doi.org/10.1002/wrcr.20117, 2013.
Li, H.-Y., Wigmosta, M. S., Wu, H., Huang, M., Ke, Y., Coleman, A. M., and
Leung, L. R.: A physically based runoff routing model for land surface and
earth system models, J. Hydrometeorol., 14, 808–828, 2013.
Li, H.-Y., Leung, L. R., Getirana, A., Huang, M., Wu, H., Xu, Y., Guo, J.,
and Voisin, N.: Evaluating global streamflow simulations by a physically
based routing model coupled with the community land model, J. Hydrometeorol., 16, 948–971, https://doi.org/10.1175/JHM-D-14-0079.1, 2015a.
Li, H.-Y., Leung, R. L., Tesfa, T., Voisin, N., Hejazi, M., Liu, L., Liu, Y., Rice, J., Wu, H., and Yang, X.: Modeling stream temperature in the Anthropocene: An earth system modeling approach, J. Adv. Model. Earth Syst.,
7, 1661–1679, https://doi.org/10.1002/2015MS000471, 2015b.
Li, H.-Y., Abeshu, G., Zhu, Z., Tan, Z., and Leung, L. R.: A national map of riverine median bed-material particle size over CONUS (Version 1.1), Zenodo [data set], https://doi.org/10.5281/zenodo.4921987, 2021.
Ludwig, W. and Probst, J. L.: A global modelling of the climatic, morphological, and lithological control of river sediment discharges to the
oceans, IAHS-AISH Publ., 236, 21–28, 1996.
Luo, X., Li, H.-Y., Leung, L. R., Tesfa, T. K., Getirana, A., Papa, F., and Hess, L. L.: Modeling surface water dynamics in the Amazon Basin using MOSART-Inundation v1.0: impacts of geomorphological parameters and river flow representation, Geosci. Model Dev., 10, 1233–1259, https://doi.org/10.5194/gmd-10-1233-2017, 2017.
Ma, H., Nittrouer, J. A., Naito, K., Fu, X., Zhang, Y., Moodie, A. J., Wang,
Y., Wu, B., and Parker, G.: The exceptional sediment load of fine-grained
dispersal systems: Example of the Yellow River, China, Sci. Adv., 3, e1603114, https://doi.org/10.1126/sciadv.1603114, 2017.
Ma, H., Nittrouer, J. A., Wu, B., Lamb, M. P., Zhang, Y., Mohrig, D., Fu, X., Naito, K., Wang, Y., Moodie, A. J., Wang, G., Hu, C., and Parker, G.: Universal relation with regime transition for sediment transport in fine-grained rivers, P. Natl. Acad. Sci. USA, 117, 171–176, https://doi.org/10.1073/pnas.1911225116, 2020.
Maavara, T., Chen, Q., Van Meter, K., Brown, L. E., Zhang, J., Ni, J., and
Zarfl, C.: River dam impacts on biogeochemical cycling, Nat. Rev. Earth Environ., 1, 103–116, https://doi.org/10.1038/s43017-019-0019-0, 2020.
Manning, R.: On the flow of water in open channels and pipes, Trans. Inst.
Civ. Eng. Irel., 20, 161–207, 1891.
McKay, L., Bondelid, T., Dewald, T., Johnston, J., Moore, R., and Rea, A.:
NHDPlus Version 2: User Guide, https://nctc.fws.gov/courses/references/tutorials/geospatial/CSP7306/Readings/NHDPlusV2_User_Guide.pdf
(last access: 3 February 2022), 2012.
Meade, R. H. and Milliman, J. D.: World-Wide Delivery of River Sediment to
the Oceans, J. Geol., 91, 1–21, https://doi.org/10.1086/628741, 1983.
Meade, R. H. and Moody, J. A.: Causes for the decline of suspended-sediment
discharge in the Mississippi River system, 1940–2007, Hydrol. Process., 24,
35–49, https://doi.org/10.1002/hyp.7477, 2010.
Mitchell, K. E., Lohmann, D., Houser, P. R., Wood, E. F., Schaake, J. C.,
Robock, A., Cosgrove, B. A., Sheffield, J., Duan, Q., Luo, L., Higgins, R. W., Pinker, R. T., Tarpley, J. D., Lettenmaier, D. P., Marshall, C. H., Entin, J. K., Pan, M., Shi, W., Koren, V., Meng, J., Ramsay, B. H., and Bailey, A. A.: The multi-institution North American Land Data Assimilation
System (NLDAS): Utilizing multiple GCIP products and partners in a
continental distributed hydrological modeling system, J. Geophys. Res.-Atmos., 109, D07S90, https://doi.org/10.1029/2003jd003823, 2004.
Mizukami, N., Clark, M. P., Gharari, S., Kluzek, E., Pan, M., Lin, P., Beck,
H. E., and Yamazaki, D.: A Vector-Based River Routing Model for Earth System
Models: Parallelization and Global Applications, J. Adv. Model. Earth Syst.,
13, e2020MS002434, https://doi.org/10.1029/2020MS002434, 2021.
Moodie, A. J., Nittrouer, J. A., Ma, H., Carlson, B. N., Wang, Y., Lamb, M.
P., and Parker, G.: Suspended-sediment induced stratification inferred from
concentration and velocity profile measurements in the lower Yellow River,
China, Water Resour. Res., e2020WR027192, https://doi.org/10.1029/2020wr027192, 2020.
Moragoda, N. and Cohen, S.: Climate-induced trends in global riverine water
discharge and suspended sediment dynamics in the 21st century, Global Planet.
Change, 191, 103–199, https://doi.org/10.1016/j.gloplacha.2020.103199, 2020.
Morgan, R. P. C.: A simple approach to soil loss prediction: A revised
Morgan-Morgan-Finney model, Catena, 44, 305–322, https://doi.org/10.1016/S0341-8162(00)00171-5, 2001.
Morgan, R. P. C. and Duzant, J. H.: Modified MMF (Morgan-Morgan-Finney)
model for evaluating effects of crops and vegetation cover on soil erosion,
Earth Surf. Proc. Land., 33, 770–785, https://doi.org/10.1002/esp.1530, 2008.
Mosselman, E.: Morphological modelling of rivers with erodible banks,
Hydrol. Process., 12, 1357–1370, https://doi.org/10.1002/(SICI)1099-1085(19980630)12:8<1357::AID-HYP619>3.0.CO;2-7, 1998.
Naito, K., Ma, H., Nittrouer, J. A., Zhang, Y., Wu, B., Wang, Y., Fu, X., and Parker, G.: Extended Engelund–Hansen type sediment transport relation for mixtures based on the sand-silt-bed Lower Yellow River, China, J. Hydraul. Res., 57, 770–785, https://doi.org/10.1080/00221686.2018.1555554, 2019.
Nicholas, A. P.: Modelling the continuum of river channel patterns, Earth Surf. Proc. Land., 38, 1187–1196, https://doi.org/10.1002/esp.3431, 2013.
Nienhuis, J. H., Ashton, A. D., Edmonds, D. A., Hoitink, A. J. F., Kettner,
A. J., Rowland, J. C., and Törnqvist, T. E.: Global-scale human impact
on delta morphology has led to net land area gain, Nature, 577, 514–518, https://doi.org/10.1038/s41586-019-1905-9, 2020.
Nilsson, C., Reidy, C. A., Dynesius, M., and Revenga, C.: Fragmentation and
flow regulation of the world's large river systems, Science, 308, 405–408, https://doi.org/10.1126/science.1107887, 2005.
Nittrouer, J. A. and Viparelli, E.: Sand as a stable and sustainable resource for nourishing the Mississippi River delta, Nat. Geosci., 7, 350–354, https://doi.org/10.1038/ngeo2142, 2014.
Nittrouer, J. A., Shaw, J., Lamb, M. P., and Mohrig, D.: Spatial and temporal trends for water-flow velocity and bed-material sediment transport in the lower Mississippi River, Bull. Geol. Soc. Am., 124, 400–414, https://doi.org/10.1130/B30497.1, 2012.
Patil, S., Sivapalan, M., Hassan, M. A., Ye, S., Harman, C. J., and Xu, X.:
A network model for prediction and diagnosis of sediment dynamics at the
watershed scale, J. Geophys. Res.-Earth, 117, 1–17, https://doi.org/10.1029/2012JF002400, 2012.
Pelletier, J. D.: A spatially distributed model for the long-term suspended
sediment discharge and delivery ratio of drainage basins, J. Geophys. Res.-Earth, 117, F02028, https://doi.org/10.1029/2011JF002129, 2012.
Rousseau, Y. Y., Biron, P. M., and Van de Wiel, M. J.: Sensitivity of simulated flow fields and bathymetries in meandering channels to the choice of a morphodynamic model, Earth Surf. Proc. Land., 41, 1169–1184, https://doi.org/10.1002/esp.3885, 2016.
Sadeghi, S. H. and Singh, V. P.: Dynamics of suspended sediment concentration, flow discharge and sediment particle size interdependency to
identify sediment source, J. Hydrol., 554, 100–110, https://doi.org/10.1016/j.jhydrol.2017.09.006, 2017.
Schmitt, R. J. P., Bizzi, S., and Castelletti, A.: Tracking multiple sediment cascades at the river network scale identifies controls and emerging patterns of sediment connectivity, Water Resour. Res., 52, 3941–3965, https://doi.org/10.1002/2015WR018097, 2016.
Schmitt, R. J. P., Bizzi, S., Castelletti, A., and Kondolf, G. M.: Improved
trade-offs of hydropower and sand connectivity by strategic dam planning in
the Mekong, Nat. Sustain., 1, 96–104, https://doi.org/10.1038/s41893-018-0022-3, 2018.
Schuurman, F., Marra, W. A., and Kleinhans, M. G.: Physics-based modeling of
large braided sand-bed rivers: Bar pattern formation, dynamics, and
sensitivity, J. Geophys. Res.-Earth, 118, 2509–2527, https://doi.org/10.1002/2013JF002896, 2013.
Simon, A. and Darby, S. E.: Process-form interactions in unstable sand-bed
river channels: A numerical modeling approach, Geomorphology, 21, 85–106,
https://doi.org/10.1016/S0169-555X(97)00043-3, 1997.
Su, C. C., Lu, J. Y., and Hong, J. H.: A field investigation of the sediment
transport characteristics of a high sediment load intermittent river in
Taiwan, Hydrol. Process., 27, 4043–4056, https://doi.org/10.1002/hyp.9517, 2013.
Sun, J., Lin, B., and Yang, H.: Development and application of a braided
river model with non-uniform sediment transport, Adv. Water Resour., 81,
62–74, https://doi.org/10.1016/j.advwatres.2014.12.012, 2015.
Syvitski, J. P. M., Peckham, S. D., Hilberman, R., and Mulder, T.: Predicting the terrestrial flux of sediment to the global ocean: A planetary perspective, Sediment. Geol., 162, 5–24, https://doi.org/10.1016/S0037-0738(03)00232-X, 2003.
Syvitski, J. P. M., Vörösmarty, C. J., Kettner, A. J., and Green, P.: Impact of humans on the flux of terrestrial sediment to the global coastal ocean, Science, 308, 376–380, https://doi.org/10.1126/science.1109454, 2005.
Tan, Z., Leung, L. R., Li, H.-Y., and Tesfa, T.: Modeling sediment yield in
land surface and Earth system models: Model comparison, development, and
evaluation, J. Adv. Model. Earth Syst., 10, 2192–2213, 2018.
Tan, Z., Leung, R. L., Li, H.-Y., Tesfa, T., Zhu, Q., and Huang, M.: A
substantial role of soil erosion in the land carbon sink and its future changes, Global Change Biol., 26, 2642–2655, https://doi.org/10.1111/gcb.14982, 2020.
Tan, Z., Leung, L. R., Li, H. Y., Tesfa, T., Zhu, Q., Yang, X., Liu, Y., and
Huang, M.: Increased extreme rains intensify erosional nitrogen and phosphorus fluxes to the northern Gulf of Mexico in recent decades, Environ.
Res. Lett., 16, 054080, https://doi.org/10.1088/1748-9326/abf006, 2021.
Tsuruta, K., Hassan, M. A., Donner, S. D., and Alila, Y.: Development and
Application of a Large-Scale, Physically Based, Distributed Suspended Sediment Transport Model on the Fraser River Basin, British Columbia, Canada, J. Geophys. Res.-Earth, 123, 2481–2508, https://doi.org/10.1029/2017JF004578, 2018.
Van Der Wegen, M. and Roelvink, J. A.: Long-term morphodynamic evolution of
a tidal embayment using a two-dimensional, process-based model, J. Geophys.
Res.-Oceans, 113, C03016, https://doi.org/10.1029/2006JC003983, 2008.
Van Oost, K., Quine, T. A., Govers, G., De Gryze, S., Six, J., Harden, J. W., Ritchie, J. C., McCarty, G. W., Heckrath, G., Kosmas, C., Giraldez, J. V., Marques Da Silva, J. R., and Merckx, R.: The impact of agricultural soil erosion on the global carbon cycle, Science, 318, 626–629, https://doi.org/10.1126/science.1145724, 2007.
Voisin, N., Li, H., Ward, D., Huang, M., Wigmosta, M., and Leung, L. R.: On an improved sub-regional water resources management representation for integration into earth system models, Hydrol. Earth Syst. Sci., 17, 3605–3622, https://doi.org/10.5194/hess-17-3605-2013, 2013a.
Voisin, N., Liu, L., Hejazi, M., Tesfa, T., Li, H., Huang, M., Liu, Y., and Leung, L. R.: One-way coupling of an integrated assessment model and a water resources model: evaluation and implications of future changes over the US Midwest, Hydrol. Earth Syst. Sci., 17, 4555–4575, https://doi.org/10.5194/hess-17-4555-2013, 2013b.
Vörösmarty, C. J., Meybeck, M., Fekete, B., Sharma, K., Green, P., and Syvitski, J. P. M.: Anthropogenic sediment retention: Major global impact from registered river impoundments, Global Planet. Change, 39, 169–190, https://doi.org/10.1016/S0921-8181(03)00023-7, 2003.
Wang, W., Li, H.-Y., Leung, L. R., Yigzaw, W., Zhao, J., Lu, H., Deng, Z.,
Demisie, Y., and Blöschl, G.: Nonlinear Filtering Effects of Reservoirs
on Flood Frequency Curves at the Regional Scale, Water Resour. Res., 53,
8277–8292, https://doi.org/10.1002/2017WR020871, 2017.
White, M. J., Santhi, C., Kannan, N., Arnold, J. G., Harmel, D., Norfleet,
L., Allen, P., DiLuzio, M., Wang, X., Atwood, J., Haney, E., and Johnson, M.
V.: Nutrient delivery from the Mississippi River to the Gulf of Mexico and
effects of cropland conservation, J. Soil Water Conserv., 69, 26–40, https://doi.org/10.2489/jswc.69.1.26, 2014.
Wieczorek, M. E., Jackson, S. E., and Schwarz, G. E.: Select Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Network Routed Upstream Watersheds for the Conterminous United States (ver. 3.0, January 2021): US Geological Survey data release, https://doi.org/10.5066/F7765D7V, 2018.
Wiele, S. M., Graf, J. B., and Smith, J. D.: Sand deposition in the Colorado
River in the Grand Canyon from flooding of the Little Colorado River, Water
Resour. Res., 32, 3579–3596, https://doi.org/10.1029/96WR02842, 1996.
Wise, D. R., Rinella III, F. A., Rinella, J. F., Fuhrer, G. J., Embrey, S. S., Clark, G. E., Schwarz, G. E., and Sobieszczyk, S.: Nutrient and Suspended-Sediment Transport and Trends in the Columbia River and Puget Sound Basins, 1993–2003, US Geological Survey Scientific Investigations Report 2007-5186, US Geological Survey, 117 pp., 2007.
Wu, H., Kimball, J. S., Mantua, N., and Stanford, J.: Automated upscaling of
river networks for macroscale hydrological modeling, Water Resour. Res., 47,
W03517, https://doi.org/10.1029/2009WR008871, 2011.
Wu, H., Kimball, J. S., Li, H.-Y., Huang, M., Leung, L. R., and Adler, R. F.: A new global river network database for macroscale hydrologic modeling, Water Resour. Res., 48, W03517, https://doi.org/10.1029/2012WR012313, 2012.
Wu, W. and Wang, S. S. Y.: Formulas for Sediment Porosity and Settling Velocity, J. Hydraul. Eng., 132, 858–862, https://doi.org/10.1061/(asce)0733-9429(2006)132:8(858), 2006.
Wu, W., Wang, S. S. Y., and Jia, Y.: Nonuniform sediment transport in alluvial rivers, J. Hydraul. Res., 38, 427–434, https://doi.org/10.1080/00221680009498296, 2000.
Wu, W., Shields, F. D., Bennett, S. J., and Wang, S. S. Y.: A depth-averaged
two-dimensional model for flow, sediment transport, and bed topography in
curved channels with riparian vegetation, Water Resour. Res., 41, W03015, https://doi.org/10.1029/2004WR003730, 2005.
Zhang, R. and Xie, J.: Sedimentation Research in China: Systematic Selections, China Water and Power Press, 260 pp., ISBN 7120019430, 9787120019433, 1993.
Short summary
We introduce a new multi-process river sediment module for Earth system models. Application and validation over the contiguous US indicate a satisfactory model performance over large river systems, including those heavily regulated by reservoirs. This new sediment module enables future modeling of the transportation and transformation of carbon and nutrients carried by the fine sediment along the river–ocean continuum to close the global carbon and nutrient cycles.
We introduce a new multi-process river sediment module for Earth system models. Application and...
