Articles | Volume 25, issue 11
https://doi.org/10.5194/hess-25-6041-2021
© Author(s) 2021. 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-25-6041-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Nov 2021
Research article |
| 25 Nov 2021
| 25 Nov 2021
A deep learning hybrid predictive modeling (HPM) approach for estimating evapotranspiration and ecosystem respiration
Jiancong Chen
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, University of
California, Berkeley, CA, USA,
Baptiste Dafflon
Earth and Environmental Sciences Area,
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Anh Phuong Tran
Earth and Environmental Sciences Area,
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Department of
Water Resources Engineering and Technology, Water Resources Institute, 8,
Phao Dai Lang, Dong Da, Hanoi, Vietnam
Nicola Falco
Earth and Environmental Sciences Area,
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Susan S. Hubbard
Earth and Environmental Sciences Area,
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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Benjamin Mary, Luca Peruzzo, Jacopo Boaga, Myriam Schmutz, Yuxin Wu, Susan S. Hubbard, and Giorgio Cassiani
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The Cryosphere, 11, 2089–2109, https://doi.org/10.5194/tc-11-2089-2017, https://doi.org/10.5194/tc-11-2089-2017, 2017
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The Cryosphere, 11, 857–875, https://doi.org/10.5194/tc-11-857-2017, https://doi.org/10.5194/tc-11-857-2017, 2017
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Spatial variability of mean daily estimates of actual evaporation from remotely sensed imagery and surface reference data
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Luca Carraro
Hydrol. Earth Syst. Sci., 27, 3733–3742, https://doi.org/10.5194/hess-27-3733-2023, https://doi.org/10.5194/hess-27-3733-2023, 2023
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Mathematical models are key to the study of environmental processes in rivers. Such models often require information on river morphology from geographic information system (GIS) software, which hinders the use of replicable workflows. Here I present rivnet, an R package for simple, robust, GIS-free extraction and analysis of river networks. The package is designed so as to require minimal user input and is oriented towards ecohydrological, ecological and biogeochemical modeling.
Stephen K. Adams, Brian P. Bledsoe, and Eric D. Stein
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Managing streams for environmental flows involves prioritizing healthy stream ecosystems while distributing water resources. Classifying streams of similar types is a useful step in developing environmental flows. Environmental flows are often developed on data-poor streams that must be modeled. This paper has developed a new method of classification that prioritizes model accuracy. The new method advances environmental streamflow management and modeling of data-poor watersheds.
Xinlei He, Yanping Li, Shaomin Liu, Tongren Xu, Fei Chen, Zhenhua Li, Zhe Zhang, Rui Liu, Lisheng Song, Ziwei Xu, Zhixing Peng, and Chen Zheng
Hydrol. Earth Syst. Sci., 27, 1583–1606, https://doi.org/10.5194/hess-27-1583-2023, https://doi.org/10.5194/hess-27-1583-2023, 2023
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This study highlights the role of integrating vegetation and multi-source soil moisture observations in regional climate models via a hybrid data assimilation and machine learning method. In particular, we show that this approach can improve land surface fluxes, near-surface atmospheric conditions, and land–atmosphere interactions by implementing detailed land characterization information in basins with complex underlying surfaces.
Marissa Kivi, Noemi Vergopolan, and Hamze Dokoohaki
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This study attempts to provide a framework for direct integration of soil moisture observations collected from soil sensors and satellite imagery into process-based crop models for improving the representation of agricultural systems. The performance of this framework was evaluated across 19 sites times years for crop yield, normalized difference vegetation index (NDVI), soil moisture, tile flow drainage, and nitrate leaching.
Yunfan Zhang, Lei Cheng, Lu Zhang, Shujing Qin, Liu Liu, Pan Liu, and Yanghe Liu
Hydrol. Earth Syst. Sci., 26, 6379–6397, https://doi.org/10.5194/hess-26-6379-2022, https://doi.org/10.5194/hess-26-6379-2022, 2022
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Multiyear drought has been demonstrated to cause non-stationary rainfall–runoff relationship. But whether changes can invalidate the most fundamental method (i.e., paired-catchment method (PCM)) for separating vegetation change impacts is still unknown. Using paired-catchment data with 10-year drought, PCM is shown to still be reliable even in catchments with non-stationarity. A new framework is further proposed to separate impacts of two non-stationary drivers, using paired-catchment data.
Don A. White, Shiqi Ren, Daniel S. Mendham, Francisco Balocchi-Contreras, Richard P. Silberstein, Dean Meason, Andrés Iroumé, and Pablo Ramirez de Arellano
Hydrol. Earth Syst. Sci., 26, 5357–5371, https://doi.org/10.5194/hess-26-5357-2022, https://doi.org/10.5194/hess-26-5357-2022, 2022
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Zhihui Wang, Qiuhong Tang, Daoxi Wang, Peiqing Xiao, Runliang Xia, Pengcheng Sun, and Feng Feng
Hydrol. Earth Syst. Sci., 26, 5291–5314, https://doi.org/10.5194/hess-26-5291-2022, https://doi.org/10.5194/hess-26-5291-2022, 2022
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Variable infiltration capacity simulation considering dynamic vegetation types and structural parameters is able to better capture the effect of temporally explicit vegetation change and climate variation in hydrological regimes. Vegetation greening including interannual LAI and intra-annual LAI temporal pattern change induced by large-scale ecological restoration and non-vegetation underlying surface change played dominant roles in the natural streamflow reduction of the Yellow River basin.
Pan Chen, Wenhong Li, and Keqi He
Hydrol. Earth Syst. Sci., 26, 4875–4892, https://doi.org/10.5194/hess-26-4875-2022, https://doi.org/10.5194/hess-26-4875-2022, 2022
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The study assessed changes in total nitrogen (TN) and total phosphorus (TP) loads in response to eastern Pacific (EP) and central Pacific (CP) El Niño events over the Corn Belt, USA, using the SWAT model. Results showed that EP (CP) El Niño events improved (exacerbated) water quality in the region. Furthermore, EP El Niño had a much broader and longer impact on water quality at the outlets, but CP El Niño could lead to similar increases in TN/TP loads as EP El Niño at the specific watersheds.
Ralf Loritz, Maoya Bassiouni, Anke Hildebrandt, Sibylle K. Hassler, and Erwin Zehe
Hydrol. Earth Syst. Sci., 26, 4757–4771, https://doi.org/10.5194/hess-26-4757-2022, https://doi.org/10.5194/hess-26-4757-2022, 2022
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In this study, we combine a deep-learning approach that predicts sap flow with a hydrological model to improve soil moisture and transpiration estimates at the catchment scale. Our results highlight that hybrid-model approaches, combining machine learning with physically based models, are a promising way to improve our ability to make hydrological predictions.
Nicholas Jarvis, Jannis Groh, Elisabet Lewan, Katharina H. E. Meurer, Walter Durka, Cornelia Baessler, Thomas Pütz, Elvin Rufullayev, and Harry Vereecken
Hydrol. Earth Syst. Sci., 26, 2277–2299, https://doi.org/10.5194/hess-26-2277-2022, https://doi.org/10.5194/hess-26-2277-2022, 2022
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We apply an eco-hydrological model to data on soil water balance and grassland growth obtained at two sites with contrasting climates. Our results show that the grassland in the drier climate had adapted by developing deeper roots, which maintained water supply to the plants in the face of severe drought. Our study emphasizes the importance of considering such plastic responses of plant traits to environmental stress in the modelling of soil water balance and plant growth under climate change.
Remko C. Nijzink, Jason Beringer, Lindsay B. Hutley, and Stanislaus J. Schymanski
Hydrol. Earth Syst. Sci., 26, 525–550, https://doi.org/10.5194/hess-26-525-2022, https://doi.org/10.5194/hess-26-525-2022, 2022
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Most models that simulate water and carbon exchanges with the atmosphere rely on information about vegetation, but optimality models predict vegetation properties based on general principles. Here, we use the Vegetation Optimality Model (VOM) to predict vegetation behaviour at five savanna sites. The VOM overpredicted vegetation cover and carbon uptake during the wet seasons but also performed similarly to conventional models, showing that vegetation optimality is a promising approach.
Hongyu Li, Yi Luo, Lin Sun, Xiangdong Li, Changkun Ma, Xiaolei Wang, Ting Jiang, and Haoyang Zhu
Hydrol. Earth Syst. Sci., 26, 17–34, https://doi.org/10.5194/hess-26-17-2022, https://doi.org/10.5194/hess-26-17-2022, 2022
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Drying soil layers (DSLs) have been extensively reported in artificial forestland in the Loess Plateau, China, which has limited water resources and deep loess. To address this issue relating to plant root–soil water interactions, this study developed a root growth model that simulates both the dynamic rooting depth and fine-root distribution. Evaluation vs. field data proved a positive performance. Long-term simulation reproduced the evolution process of the DSLs and revealed their mechanisms.
Jiehao Zhang, Yulong Zhang, Ge Sun, Conghe Song, Matthew P. Dannenberg, Jiangfeng Li, Ning Liu, Kerong Zhang, Quanfa Zhang, and Lu Hao
Hydrol. Earth Syst. Sci., 25, 5623–5640, https://doi.org/10.5194/hess-25-5623-2021, https://doi.org/10.5194/hess-25-5623-2021, 2021
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To quantify how vegetation greening impacts the capacity of water supply, we built a hybrid model and conducted a case study using the upper Han River basin (UHRB) that serves as the water source area to the world’s largest water diversion project. Vegetation greening in the UHRB during 2001–2018 induced annual water yield (WY) greatly decreased. Vegetation greening also increased the possibility of drought and reduced a quarter of WY on average during drought periods.
Aaron J. Neill, Christian Birkel, Marco P. Maneta, Doerthe Tetzlaff, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 4861–4886, https://doi.org/10.5194/hess-25-4861-2021, https://doi.org/10.5194/hess-25-4861-2021, 2021
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Structural changes (cover and height of vegetation plus tree canopy characteristics) to forests during regeneration on degraded land affect how water is partitioned between streamflow, groundwater recharge and evapotranspiration. Partitioning most strongly deviates from baseline conditions during earlier stages of regeneration with dense forest, while recovery may be possible as the forest matures and opens out. This has consequences for informing sustainable landscape restoration strategies.
Jianning Ren, Jennifer C. Adam, Jeffrey A. Hicke, Erin J. Hanan, Christina L. Tague, Mingliang Liu, Crystal A. Kolden, and John T. Abatzoglou
Hydrol. Earth Syst. Sci., 25, 4681–4699, https://doi.org/10.5194/hess-25-4681-2021, https://doi.org/10.5194/hess-25-4681-2021, 2021
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Mountain pine beetle outbreaks have caused widespread tree mortality. While some research shows that water yield increases after trees are killed, many others document no change or a decrease. The climatic and environmental mechanisms driving hydrologic response to tree mortality are not well understood. We demonstrated that the direction of hydrologic response is a function of multiple factors, so previous studies do not necessarily conflict with each other; they represent different conditions.
Haidong Zhao, Gretchen F. Sassenrath, Mary Beth Kirkham, Nenghan Wan, and Xiaomao Lin
Hydrol. Earth Syst. Sci., 25, 4357–4372, https://doi.org/10.5194/hess-25-4357-2021, https://doi.org/10.5194/hess-25-4357-2021, 2021
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This study was done to develop an improved soil temperature model for the USA Great Plains by using common weather station variables as inputs. After incorporating knowledge of estimated soil moisture and observed daily snow depth, the improved model showed a near 50 % gain in performance compared to the original model. We conclude that our improved model can better estimate soil temperature at the surface soil layer where most hydrological and biological processes occur.
Brandon P. Sloan, Sally E. Thompson, and Xue Feng
Hydrol. Earth Syst. Sci., 25, 4259–4274, https://doi.org/10.5194/hess-25-4259-2021, https://doi.org/10.5194/hess-25-4259-2021, 2021
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Plants affect the global water and carbon cycles by modifying their water use and carbon intake in response to soil moisture. Global climate models represent this response with either simple empirical models or complex physical models. We reveal that the latter improves predictions in plants with large flow resistance; however, adding dependence on atmospheric moisture demand to the former matches performance of the latter, leading to a new tool for improving carbon and water cycle predictions.
Maria Magdalena Warter, Michael Bliss Singer, Mark O. Cuthbert, Dar Roberts, Kelly K. Caylor, Romy Sabathier, and John Stella
Hydrol. Earth Syst. Sci., 25, 3713–3729, https://doi.org/10.5194/hess-25-3713-2021, https://doi.org/10.5194/hess-25-3713-2021, 2021
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Intensified drying of soil and grassland vegetation is raising the impact of fire severity and extent in Southern California. While browned grassland is a common sight during the dry season, this study has shown that there is a pronounced shift in the timing of senescence, due to changing climate conditions favoring milder winter temperatures and increased precipitation variability. Vegetation may be limited in its ability to adapt to these shifts, as drought periods become more frequent.
Mikael Gillefalk, Dörthe Tetzlaff, Reinhard Hinkelmann, Lena-Marie Kuhlemann, Aaron Smith, Fred Meier, Marco P. Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 3635–3652, https://doi.org/10.5194/hess-25-3635-2021, https://doi.org/10.5194/hess-25-3635-2021, 2021
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We used a tracer-aided ecohydrological model to quantify water flux–storage–age interactions for three urban vegetation types: trees, shrub and grass. The model results showed that evapotranspiration increased in the order shrub < grass < trees during one growing season. Additionally, we could show how
infiltration hotspotscreated by runoff from sealed onto vegetated surfaces can enhance both evapotranspiration and groundwater recharge.
Yuting Yang, Tim R. McVicar, Dawen Yang, Yongqiang Zhang, Shilong Piao, Shushi Peng, and Hylke E. Beck
Hydrol. Earth Syst. Sci., 25, 3411–3427, https://doi.org/10.5194/hess-25-3411-2021, https://doi.org/10.5194/hess-25-3411-2021, 2021
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This study developed an analytical ecohydrological model that considers three aspects of vegetation response to eCO2 (i.e., stomatal response, LAI response, and rooting depth response) to detect the impact of eCO2 on continental runoff over the past 3 decades globally. Our findings suggest a minor role of eCO2 on the global runoff changes, yet highlight the negative runoff–eCO2 response in semiarid and arid regions which may further threaten the limited water resource there.
Yanlan Liu, Nataniel M. Holtzman, and Alexandra G. Konings
Hydrol. Earth Syst. Sci., 25, 2399–2417, https://doi.org/10.5194/hess-25-2399-2021, https://doi.org/10.5194/hess-25-2399-2021, 2021
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The flow of water through plants varies with species-specific traits. To determine how they vary across the world, we mapped the traits that best allowed a model to match microwave satellite data. We also defined average values across a few clusters of trait behavior. These form a tractable solution for use in large-scale models. Transpiration estimates using these clusters were more accurate than if using plant functional types. We expect our maps to improve transpiration forecasts.
Aaron Smith, Doerthe Tetzlaff, Lukas Kleine, Marco Maneta, and Chris Soulsby
Hydrol. Earth Syst. Sci., 25, 2239–2259, https://doi.org/10.5194/hess-25-2239-2021, https://doi.org/10.5194/hess-25-2239-2021, 2021
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We used a tracer-aided ecohydrological model on a mixed land use catchment in northeastern Germany to quantify water flux–storage–age interactions at four model grid resolutions. The model's ability to reproduce spatio-temporal flux–storage–age interactions decreases with increasing model grid sizes. Similarly, larger model grids showed vegetation-influenced changes in blue and green water partitioning. Simulations reveal the value of measured soil and stream isotopes for model calibration.
Yiping Hou, Mingfang Zhang, Xiaohua Wei, Shirong Liu, Qiang Li, Tijiu Cai, Wenfei Liu, Runqi Zhao, and Xiangzhuo Liu
Hydrol. Earth Syst. Sci., 25, 1447–1466, https://doi.org/10.5194/hess-25-1447-2021, https://doi.org/10.5194/hess-25-1447-2021, 2021
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Ecohydrological sensitivity, defined as the response intensity of streamflow to vegetation change, indicates the hydrological sensitivity to vegetation change. The study revealed seasonal ecohydrological sensitivities were highly variable, depending on climate condition and watershed attributes. Dry season ecohydrological sensitivity was mostly determined by topography, soil and vegetation, while wet season ecohydrological sensitivity was mainly controlled by soil, landscape and vegetation.
Xiangyu Luan and Giulia Vico
Hydrol. Earth Syst. Sci., 25, 1411–1423, https://doi.org/10.5194/hess-25-1411-2021, https://doi.org/10.5194/hess-25-1411-2021, 2021
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Crop yield is reduced by heat and water stress, particularly when they co-occur. We quantify the joint effects of (unpredictable) air temperature and soil water availability on crop heat stress via a mechanistic model. Larger but more infrequent precipitation increased crop canopy temperatures. Keeping crops well watered via irrigation could reduce canopy temperature but not enough to always exclude heat damage. Thus, irrigation is only a partial solution to adapt to warmer and drier climates.
Songyan Yu, Hong Xuan Do, Albert I. J. M. van Dijk, Nick R. Bond, Peirong Lin, and Mark J. Kennard
Hydrol. Earth Syst. Sci., 24, 5279–5295, https://doi.org/10.5194/hess-24-5279-2020, https://doi.org/10.5194/hess-24-5279-2020, 2020
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There is a growing interest globally in the spatial distribution and temporal dynamics of intermittently flowing streams and rivers. We developed an approach to quantify catchment-wide flow intermittency over long time frames. Modelled patterns of flow intermittency in eastern Australia revealed highly dynamic behaviour in space and time. The developed approach is transferable to other parts of the world and can inform hydro-ecological understanding and management of intermittent streams.
Natasha MacBean, Russell L. Scott, Joel A. Biederman, Catherine Ottlé, Nicolas Vuichard, Agnès Ducharne, Thomas Kolb, Sabina Dore, Marcy Litvak, and David J. P. Moore
Hydrol. Earth Syst. Sci., 24, 5203–5230, https://doi.org/10.5194/hess-24-5203-2020, https://doi.org/10.5194/hess-24-5203-2020, 2020
Yusen Yuan, Taisheng Du, Honglang Wang, and Lixin Wang
Hydrol. Earth Syst. Sci., 24, 4491–4501, https://doi.org/10.5194/hess-24-4491-2020, https://doi.org/10.5194/hess-24-4491-2020, 2020
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The isotopic composition of ambient water vapor is an important source of atmospheric water vapor and has not been able to be estimated to date using the Keeling plot approach. Here we proposed two new methods to estimate the isotopic composition of ambient water vapor: one using the intersection point method and another relying on the intermediate value theorem.
Valentin Couvreur, Youri Rothfuss, Félicien Meunier, Thierry Bariac, Philippe Biron, Jean-Louis Durand, Patricia Richard, and Mathieu Javaux
Hydrol. Earth Syst. Sci., 24, 3057–3075, https://doi.org/10.5194/hess-24-3057-2020, https://doi.org/10.5194/hess-24-3057-2020, 2020
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Isotopic labeling of soil water is a broadly used tool for tracing the origin of water extracted by plants and computing root water uptake (RWU) profiles with multisource mixing models. In this study, we show how a method such as this may misconstrue time series of xylem water isotopic composition as the temporal dynamics of RWU by simulating data collected during a tall fescue rhizotron experiment with an isotope-enabled physical soil–root model accounting for variability in root traits.
Thibault Hallouin, Michael Bruen, and Fiachra E. O'Loughlin
Hydrol. Earth Syst. Sci., 24, 1031–1054, https://doi.org/10.5194/hess-24-1031-2020, https://doi.org/10.5194/hess-24-1031-2020, 2020
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A hydrological model was used to compare different parameterisation strategies in view of predicting ecologically relevant streamflow indices in 33 Irish catchments. Compared for 14 different periods, a strategy fitting simulated and observed streamflow indices yielded better performance than fitting simulated and observed streamflow, but it also yielded a less consistent ensemble of parameter sets, suggesting that these indices may not be hydrologically relevant for model parameterisation.
Robert N. Armstrong, John W. Pomeroy, and Lawrence W. Martz
Hydrol. Earth Syst. Sci., 23, 4891–4907, https://doi.org/10.5194/hess-23-4891-2019, https://doi.org/10.5194/hess-23-4891-2019, 2019
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Digital and thermal images taken near midday were used to scale daily point observations of key factors driving actual-evaporation estimates across a complex Canadian Prairie landscape. Point estimates of actual evaporation agreed well with observed values via eddy covariance. Impacts of spatial variations on areal estimates were minor, and no covariance was found between model parameters driving the energy term. The methods can be applied further to improve land surface parameterisations.
Zhongkai Li, Hu Liu, Wenzhi Zhao, Qiyue Yang, Rong Yang, and Jintao Liu
Hydrol. Earth Syst. Sci., 23, 4685–4706, https://doi.org/10.5194/hess-23-4685-2019, https://doi.org/10.5194/hess-23-4685-2019, 2019
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A database of soil moisture measurements from the middle Heihe River basin of China was used to test the potential of a soil moisture database in estimating the soil water balance components (SWBCs). We determined SWBCs using a method that combined the soil water balance method and the inverse Richards equation. This work confirmed that relatively reasonable estimations of the SWBCs in coarse-textured sandy soils can be derived using soil moisture measurements.
Inês Gomes Marques, João Nascimento, Rita M. Cardoso, Filipe Miguéns, Maria Teresa Condesso de Melo, Pedro M. M. Soares, Célia M. Gouveia, and Cathy Kurz Besson
Hydrol. Earth Syst. Sci., 23, 3525–3552, https://doi.org/10.5194/hess-23-3525-2019, https://doi.org/10.5194/hess-23-3525-2019, 2019
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Mediterranean cork woodlands are very particular agroforestry systems present in a confined area of the Mediterranean Basin. They are of great importance due to their high socioeconomic value; however, a decrease in water availability has put this system in danger. In this paper we build a model that explains this system's tree-species distribution in southern Portugal from environmental variables. This could help predict their future distribution under changing climatic conditions.
Samuli Launiainen, Mingfu Guan, Aura Salmivaara, and Antti-Jussi Kieloaho
Hydrol. Earth Syst. Sci., 23, 3457–3480, https://doi.org/10.5194/hess-23-3457-2019, https://doi.org/10.5194/hess-23-3457-2019, 2019
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Boreal forest evapotranspiration and water cycle is modeled at stand and catchment scale using physiological and physical principles, open GIS data and daily weather data. The approach can predict daily evapotranspiration well across Nordic coniferous-dominated stands and successfully reproduces daily streamflow and annual evapotranspiration across boreal headwater catchments in Finland. The model is modular and simple and designed for practical applications over large areas using open data.
Regina T. Hirl, Hans Schnyder, Ulrike Ostler, Rudi Schäufele, Inga Schleip, Sylvia H. Vetter, Karl Auerswald, Juan C. Baca Cabrera, Lisa Wingate, Margaret M. Barbour, and Jérôme Ogée
Hydrol. Earth Syst. Sci., 23, 2581–2600, https://doi.org/10.5194/hess-23-2581-2019, https://doi.org/10.5194/hess-23-2581-2019, 2019
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We evaluated the system-scale understanding of the propagation of the oxygen isotope signal (δ18O) of rain through soil and xylem to leaf water in a temperate drought-prone grassland. Biweekly δ18O observations of the water pools made during seven growing seasons were accurately reproduced by the 18O-enabled process-based model MuSICA. While water uptake occurred from shallow soil depths throughout dry and wet periods, leaf water 18O enrichment responded to both soil and atmospheric moisture.
Christoph Schürz, Brigitta Hollosi, Christoph Matulla, Alexander Pressl, Thomas Ertl, Karsten Schulz, and Bano Mehdi
Hydrol. Earth Syst. Sci., 23, 1211–1244, https://doi.org/10.5194/hess-23-1211-2019, https://doi.org/10.5194/hess-23-1211-2019, 2019
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For two Austrian catchments we simulated discharge and nitrate-nitrogen (NO3-N) considering future changes of climate, land use, and point source emissions together with the impact of different setups and parametrizations of the implemented eco-hydrological model. In a comprehensive analysis we identified the dominant sources of uncertainty for the simulation of discharge and NO3-N and further examined how specific properties of the model inputs control the future simulation results.
Yu-Ting Shih, Pei-Hao Chen, Li-Chin Lee, Chien-Sen Liao, Shih-Hao Jien, Fuh-Kwo Shiah, Tsung-Yu Lee, Thomas Hein, Franz Zehetner, Chung-Te Chang, and Jr-Chuan Huang
Hydrol. Earth Syst. Sci., 22, 6579–6590, https://doi.org/10.5194/hess-22-6579-2018, https://doi.org/10.5194/hess-22-6579-2018, 2018
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DOC and DIC export in Taiwan shows that the annual DOC and DIC fluxes were 2.7–4.8 and 48.4–54.3 ton C km2 yr1, respectively, which were approximately 2 and 20 times higher than the global means of 1.4 and 2.6 ton C km2 yr1, respectively.
Zun Yin, Catherine Ottlé, Philippe Ciais, Matthieu Guimberteau, Xuhui Wang, Dan Zhu, Fabienne Maignan, Shushi Peng, Shilong Piao, Jan Polcher, Feng Zhou, Hyungjun Kim, and other China-Trend-Stream project members
Hydrol. Earth Syst. Sci., 22, 5463–5484, https://doi.org/10.5194/hess-22-5463-2018, https://doi.org/10.5194/hess-22-5463-2018, 2018
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Simulations in China were performed in ORCHIDEE driven by different forcing datasets: GSWP3, PGF, CRU-NCEP, and WFDEI. Simulated soil moisture was compared to several datasets to evaluate the ability of ORCHIDEE in reproducing soil moisture dynamics. Results showed that ORCHIDEE soil moisture coincided well with other datasets in wet areas and in non-irrigated areas. It suggested that the ORCHIDEE-MICT was suitable for further hydrological studies in China.
Matthias J. R. Speich, Heike Lischke, and Massimiliano Zappa
Hydrol. Earth Syst. Sci., 22, 4097–4124, https://doi.org/10.5194/hess-22-4097-2018, https://doi.org/10.5194/hess-22-4097-2018, 2018
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To simulate the water balance of, e.g., a forest plot, it is important to estimate the maximum volume of water available to plants. This depends on soil properties and the average depth of roots. Rooting depth has proven challenging to estimate. Here, we applied a model assuming that plants dimension their roots to optimize their carbon budget. We compared its results with values obtained by calibrating a dynamic water balance model. In most cases, there is good agreement between both methods.
Gordon C. O'Brien, Chris Dickens, Eleanor Hines, Victor Wepener, Retha Stassen, Leo Quayle, Kelly Fouchy, James MacKenzie, P. Mark Graham, and Wayne G. Landis
Hydrol. Earth Syst. Sci., 22, 957–975, https://doi.org/10.5194/hess-22-957-2018, https://doi.org/10.5194/hess-22-957-2018, 2018
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In global water resource allocation, robust tools are required to establish environmental flows. In addition, tools should characterize past, present and future consequences of altered flows and non-flow variables to social and ecological management objectives. PROBFLO is a risk assessment method designed to meet best practice principles for regional-scale holistic E-flow assessments. The approach has been developed in Africa and applied across the continent.
Katrina E. Bennett, Theodore J. Bohn, Kurt Solander, Nathan G. McDowell, Chonggang Xu, Enrique Vivoni, and Richard S. Middleton
Hydrol. Earth Syst. Sci., 22, 709–725, https://doi.org/10.5194/hess-22-709-2018, https://doi.org/10.5194/hess-22-709-2018, 2018
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We applied the Variable Infiltration Capacity hydrologic model to examine scenarios of change under climate and landscape disturbances in the San Juan River basin, a major sub-watershed of the Colorado River basin. Climate change coupled with landscape disturbance leads to reduced streamflow in the San Juan River basin. Disturbances are expected to be widespread in this region. Therefore, accounting for these changes within the context of climate change is imperative for water resource planning.
Fernando Jaramillo, Neil Cory, Berit Arheimer, Hjalmar Laudon, Ype van der Velde, Thomas B. Hasper, Claudia Teutschbein, and Johan Uddling
Hydrol. Earth Syst. Sci., 22, 567–580, https://doi.org/10.5194/hess-22-567-2018, https://doi.org/10.5194/hess-22-567-2018, 2018
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Which is the dominant effect on evapotranspiration in northern forests, an increase by recent forests expansion or a decrease by the water use response due to increasing CO2 concentrations? We determined the dominant effect during the period 1961–2012 in 65 Swedish basins. We used the Budyko framework to study the hydroclimatic movements in Budyko space. Our findings suggest that forest expansion is the dominant driver of long-term and large-scale evapotranspiration changes.
Jie Zhu, Ge Sun, Wenhong Li, Yu Zhang, Guofang Miao, Asko Noormets, Steve G. McNulty, John S. King, Mukesh Kumar, and Xuan Wang
Hydrol. Earth Syst. Sci., 21, 6289–6305, https://doi.org/10.5194/hess-21-6289-2017, https://doi.org/10.5194/hess-21-6289-2017, 2017
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Forested wetlands provide myriad ecosystem services threatened by climate change. This study develops empirical hydrologic models by synthesizing hydrometeorological data across the southeastern US. We used global climate projections to model hydrological changes for five wetlands. We found all wetlands are predicted to become drier by the end of this century. This study suggests that climate change may substantially affect wetland biogeochemical cycles and other functions in the future.
Guiomar Ruiz-Pérez, Julian Koch, Salvatore Manfreda, Kelly Caylor, and Félix Francés
Hydrol. Earth Syst. Sci., 21, 6235–6251, https://doi.org/10.5194/hess-21-6235-2017, https://doi.org/10.5194/hess-21-6235-2017, 2017
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Plants are shaping the landscape and controlling the hydrological cycle, particularly in arid and semi-arid ecosystems. Remote sensing data appears as an appealing source of information for vegetation monitoring, in particular in areas with a limited amount of available field data. Here, we present an example of how remote sensing data can be exploited in a data-scarce basin. We propose a mathematical methodology that can be used as a springboard for future applications.
Cited articles
Abatzoglou, J. T., Barbero, R., Wolf, J. W., and Holden, Z. A.: Tracking
Interannual Streamflow Variability with Drought Indices in the U.S. Pacific
Northwest, J. Hydrometeorol., 15, 1900–1912, https://doi.org/10.1175/jhm-d-13-0167.1, 2014.
Ai, J., Jia, G., Epstein, H. E., Wang, H., Zhang, A., and Hu, Y.: MODIS-Based
Estimates of Global Terrestrial Ecosystem Respiration, J. Geophys. Res.-Biogeo., 123, 326–352, https://doi.org/10.1002/2017JG004107, 2018.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop
evapotranspiration: Guidelines for computing crop requirements, FAO Irrigation and drainage paper 56, Food and Agriculture Organization, Rome, 1998.
Anderson, M. C., Allen, R. G., Morse, A., and Kustas, W. P.: Use of Landsat
thermal imagery in monitoring evapotranspiration and managing water
resources, Remote Sens. Environ., 112, 50–65, https://doi.org/10.1016/j.rse.2011.08.025, 2012.
Baldocchi, D.: Measuring fluxes of trace gases and energy between ecosystems
and the atmosphere – the state and future of the eddy covariance method,
Glob. Chang. Biol., 20, 3600–3609, https://doi.org/10.1111/gcb.12649, 2014.
Baldocchi, D. D., Ma, S., Rambal, S., Misson, L., Ourcival, J. M., Limousin,
J. M., Pereira, J., and Papale, D.: On the differential advantages of
evergreenness and deciduousness in mediterranean oak woodlands: A flux
perspective, Ecol. Appl., 20, 1583–1597, https://doi.org/10.1890/08-2047.1, 2010.
Berryman, E. M., Vanderhoof, M. K., Bradford, J. B., Hawbaker, T. J., Henne,
P. D., Burns, S. P., Frank, J. M., Birdsey, R. A., and Ryan, M. G.:
Estimating Soil Respiration in a Subalpine Landscape Using Point, Terrain,
Climate, and Greenness Data, J. Geophys. Res.-Biogeo., 123,
3231–3249, https://doi.org/10.1029/2018JG004613, 2018.
Bodesheim, P., Jung, M., Gans, F., Mahecha, M. D., and Reichstein, M.: Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product, Earth Syst. Sci. Data, 10, 1327–1365, https://doi.org/10.5194/essd-10-1327-2018, 2018.
Budyko, M. I.: The Heat Balance of the Earth's Surface, Sov. Geogr., 2,
3–13, https://doi.org/10.1080/00385417.1961.10770761, 1961.
Carroll, R. W. H., Gochis, D., and Williams, K. H.: Efficiency of the Summer
Monsoon in Generating Streamflow Within a Snow-Dominated Headwater Basin of
the Colorado River, Geophys. Res. Lett., 47, e2020GL090856, https://doi.org/10.1029/2020GL090856,
2020.
Chang, L. L., Dwivedi, R., Knowles, J. F., Fang, Y. H., Niu, G. Y.,
Pelletier, J. D., Rasmussen, C., Durcik, M., Barron-Gafford, G. A., and
Meixner, T.: Why Do Large-Scale Land Surface Models Produce a Low Ratio of
Transpiration to Evapotranspiration?, J. Geophys. Res.-Atmos., 123, 9109–9130, https://doi.org/10.1029/2018JD029159, 2018.
Chen, J., Dafflon, B., Tran, A., Falco, N., and Hubbard, S.: Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data. Watershed Function SFA, ESS-DIVE repository [data set], https://doi.org/10.15485/1633810, 2020.
Chu, H., Luo, X., Ouyang, Z., Chan, W. S., Dengel, S., Biraud, S. C., Torn,
M. S., Metzger, S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi,
D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G.,
Bracho, R., Brown, S., Brunsell, N. A., Chen, J., Chen, X., Clark, K.,
Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J. A.,
Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa,
H., Iwata, H., Ju, Y., Knowles, J. F., Knox, S. H., Kobayashi, H., Kolb, T.,
Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick,
K., Oberbauer, S. F., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E.,
Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E.
S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C.,
Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A.,
Ueyama, M., Vargas, R., Wood, J. D., and Zona, D.: Representativeness of
Eddy-Covariance flux footprints for areas surrounding AmeriFlux sites,
Agric. For. Meteorol., 301–302, 108350, https://doi.org/10.1016/j.agrformet.2021.108350, 2021.
Claverie, M., Ju, J., Masek, J. G., Dungan, J. L., Vermote, E. F., Roger, J.
C., Skakun, S. V., and Justice, C.: The Harmonized Landsat and Sentinel-2
surface reflectance data set, Remote Sens. Environ., 219, 145–161, https://doi.org/10.1016/j.rse.2018.09.002, 2018.
Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A., and Totterdell, I. J.:
Acceleration of global warming due to carbon-cycle feedbacks in a coupled
climate model, Nature, 408, 184–187, https://doi.org/10.1038/35041539, 2000.
Daggers, T. D., Kromkamp, J. C., Herman, P. M. J., and van der Wal, D.: A
model to assess microphytobenthic primary production in tidal systems using
satellite remote sensing, Remote Sens. Environ., 211, 129–145,
https://doi.org/10.1016/j.rse.2018.03.037, 2018.
Falco, N., Wainwright, H., Dafflon, B., Léger, E., Peterson, J.,
Steltzer, H., Wilmer, C., Rowland, J. C., Williams, K. H., and Hubbard, S.
S.: Investigating Microtopographic and Soil Controls on a Mountainous Meadow
Plant Community Using High-Resolution Remote Sensing and Surface Geophysical
Data, J. Geophys. Res.-Biogeo., 124, 1618–1636, https://doi.org/10.1029/2018JG004394, 2019.
FLUXNET: FLUXNET measurements, available at: https://FLUXNET.fluxdata.org, last access: 1 July 2020.
Gao, X., Mei, X., Gu, F., Hao, W., Li, H., and Gong, D.: Ecosystem
respiration and its components in a rainfed spring maize cropland in the
Loess Plateau, China, Sci. Rep., 7, 17614, https://doi.org/10.1038/s41598-017-17866-1, 2017.
Gao, Y., Yu, G., Li, S., Yan, H., Zhu, X., Wang, Q., Shi, P., Zhao, L., Li,
Y., Zhang, F., Wang, Y., and Zhang, J.: A remote sensing model to estimate
ecosystem respiration in Northern China and the Tibetan Plateau, Ecol.
Modell., 304, 34–43, https://doi.org/10.1016/j.ecolmodel.2015.03.001, 2015.
van Gorsel, E., Delpierre, N., Leuning, R., Black, A., Munger, J. W., Wofsy,
S., Aubinet, M., Feigenwinter, C., Beringer, J., Bonal, D., Chen, B., Chen,
J., Clement, R., Davis, K. J., Desai, A. R., Dragoni, D., Etzold, S.,
Grünwald, T., Gu, L., Heinesch, B., Hutyra, L. R., Jans, W. W. P.,
Kutsch, W., Law, B. E., Leclerc, M. Y., Mammarella, I., Montagnani, L.,
Noormets, A., Rebmann, C. and Wharton, S.: Estimating nocturnal ecosystem
respiration from the vertical turbulent flux and change in storage of CO2,
Agric. For. Meteorol., 149, 1919–1930,
https://doi.org/10.1016/j.agrformet.2009.06.020, 2009.
Greve, P., Gudmundsson, L., Orlowsky, B., and Seneviratne, S. I.: Introducing
a probabilistic Budyko framework, Geophys. Res. Lett., 42, 2261–2269,
https://doi.org/10.1002/2015GL063449, 2015.
Hargrove, W. W., Hoffman, F. M., and Law, B. E.: New analysis reveals
representativeness of the amerflux network, Eos, Washington, DC, 84, 529–535, https://doi.org/10.1029/2003EO480001, 2003.
Hochreiter, S. and Schmidhuber, J.: Long Short-Term Memory, Neural Comput., 9, 1735–1780, https://doi.org/10.1162/neco.1997.9.8.1735, 1997.
Homer, C., Dewitz, J., Yang, L., Jin, S., Danielson, P., Xian, G., Coulston,
J., Herold, N., Wickham, J., and Megown, K.: Completion of the 2011 national
land cover database for the conterminous United States – Representing a
decade of land cover change information, Photogramm. Eng. Remote Sensing, 81, 346–354, 2015.
Hu, J., Moore, D. J. P., Burns, S. P., and Monson, R.: Longer growing seasons
lead to less carbon sequestration by a subalpine forest, Glob. Chang. Biol.,
16, 771–783, https://doi.org/10.1111/j.1365-2486.2009.01967.x, 2010.
Hubbard, S. S., Williams, K. H., Agarwal, D., Banfield, J., Beller, H.,
Bouskill, N., Brodie, E., Carroll, R., Dafflon, B., Dwivedi, D., Falco, N.,
Faybishenko, B., Maxwell, R., Nico, P., Steefel, C., Steltzer, H., Tokunaga,
T., Tran, P. A., Wainwright, H., and Varadharajan, C.: The East River,
Colorado, Watershed: A Mountainous Community Testbed for Improving
Predictive Understanding of Multiscale Hydrological–Biogeochemical
Dynamics, Vadose Zo. J., 17, 180061, https://doi.org/10.2136/vzj2018.03.0061, 2018.
IPCC: IPCC 2019 – Special report on climate change, desertification, land
degradation, sustainable land management, food security, and greenhouse gas
fluxes in terrestrial ecosystem, Res. Handb. Clim. Chang. Agric. Law, Cambridge University Press, https://doi.org/10.4337/9781784710644, 2019.
Irons, J. R., Dwyer, J. L., and Barsi, J. A.: The next Landsat satellite: The
Landsat Data Continuity Mission, Remote Sens. Environ., 122, 11–21, https://doi.org/10.1016/j.rse.2011.08.026, 2012.
Jägermeyr, J., Gerten, D., Lucht, W., Hostert, P., Migliavacca, M., and
Nemani, R.: A high-resolution approach to estimating ecosystem respiration
at continental scales using operational satellite data, Glob. Chang. Biol.,
20, 1191–1210, https://doi.org/10.1111/gcb.12443, 2014.
Jung, M., Reichstein, M., Ciais, P., Seneviratne, S. I., Sheffield, J.,
Goulden, M. L., Bonan, G., Cescatti, A., Chen, J., De Jeu, R., Dolman, A.
J., Eugster, W., Gerten, D., Gianelle, D., Gobron, N., Heinke, J., Kimball,
J., Law, B. E., Montagnani, L., Mu, Q., Mueller, B., Oleson, K., Papale, D.,
Richardson, A. D., Roupsard, O., Running, S., Tomelleri, E., Viovy, N.,
Weber, U., Williams, C., Wood, E., Zaehle, S., and Zhang, K.: Recent decline
in the global land evapotranspiration trend due to limited moisture supply,
Nature, 467, 951–954, https://doi.org/10.1038/nature09396, 2010.
Jung, M., Reichstein, M., Schwalm, C. R., Huntingford, C., Sitch, S.,
Ahlström, A., Arneth, A., Camps-Valls, G., Ciais, P., Friedlingstein,
P., Gans, F., Ichii, K., Jain, A. K., Kato, E., Papale, D., Poulter, B.,
Raduly, B., Rödenbeck, C., Tramontana, G., Viovy, N., Wang, Y. P.,
Weber, U., Zaehle, S., and Zeng, N.: Compensatory water effects link yearly
global land CO2 sink changes to temperature, Nature, 541, 516–520,
https://doi.org/10.1038/nature20780, 2017.
Kakalia, Z., Varadharajan, C., Alper, E., Brodie, E., Burrus, M., Carroll,
R., Christianson, D., Hendrix, V., Henderson, M., Hubbard, S., Johnson, D.,
Versteeg, R., Williams, K., and Agarwal, D.: The East River Community
Observatory Data Collection: Diverse, multiscale data from a mountainous
watershed in the East River, Colorado, Authorea, 1–17, https://doi.org/10.22541/au.160157556.64095872, 2020.
Kampf, S., Markus, J., Heath, J., and Moore, C.: Snowmelt runoff and soil
moisture dynamics on steep subalpine hillslopes, Hydrol. Process., 29,
712–723, https://doi.org/10.1002/hyp.10179, 2015.
Keenan, T. F., Migliavacca, M., Papale, D., Baldocchi, D., Reichstein, M.,
Torn, M., and Wutzler, T.: Widespread inhibition of daytime ecosystem
respiration, Nat. Ecol. Evol., 3, 407–415,
https://doi.org/10.1038/s41559-019-0809-2, 2019.
Knowles, J. F., Blanken, P. D., and Williams, M. W.: Wet meadow ecosystems
contribute the majority of overwinter soil respiration from snow-scoured
alpine tundra, J. Geophys. Res.-Biogeo., 121, 1118–1130,
https://doi.org/10.1002/2015JG003081, 2016.
Kratzert, F., Klotz, D., Brenner, C., Schulz, K., and Herrnegger, M.: Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks, Hydrol. Earth Syst. Sci., 22, 6005–6022, https://doi.org/10.5194/hess-22-6005-2018, 2018.
Lasslop, G., Reichstein, M., Papale, D., Richardson, A., Arneth, A., Barr,
A., Stoy, P., and Wohlfahrt, G.: Separation of net ecosystem exchange into
assimilation and respiration using a light response curve approach: Critical
issues and global evaluation, Glob. Chang. Biol., 16, 187–208,
https://doi.org/10.1111/j.1365-2486.2009.02041.x, 2010.
Li, X. and Xiao, J. A.: Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data, Remote Sens., 11, 517, https://doi.org/10.3390/rs11050517, 2019.
Livingston, G. P. and Hutchinson, G. L.: Enclosure-based measurement of
trace gas exchange: applications and sources of error, in: Biogenic trace gases: measuring emissions from soil and water, edited by: Matson, P. A. and Harris, R. C., Blackwell Science Ltd., Oxford, UK, 14–51, 1995.
Ma, Y., Liu, S., Song, L., Xu, Z., Liu, Y., Xu, T., and Zhu, Z.: Estimation
of daily evapotranspiration and irrigation water efficiency at a
Landsat-like scale for an arid irrigation area using multi-source remote
sensing data, Remote Sens. Environ., 216, 715–734,
https://doi.org/10.1016/j.rse.2018.07.019, 2018.
Main-Knorn, M., Pflug, B., Louis, J., Debaecker, V., Müller-Wilm, U., and
Gascon, F.: Sen2Cor for Sentinel-2, Image and Signal Processing for
Remote Sensing XXIII, 1042704, 4 October 2017, Warsaw, Poland, https://doi.org/10.1117/12.2278218, 2017.
McCabe, M. F., Aragon, B., Houborg, R., and Mascaro, J.: CubeSats in
Hydrology: Ultrahigh-Resolution Insights Into Vegetation Dynamics and
Terrestrial Evaporation, Water Resour. Res., 53, 10017–10024,
https://doi.org/10.1002/2017WR022240, 2017.
Metzger, S., Junkermann, W., Mauder, M., Butterbach-Bahl, K., Trancón y Widemann, B., Neidl, F., Schäfer, K., Wieneke, S., Zheng, X. H., Schmid, H. P., and Foken, T.: Spatially explicit regionalization of airborne flux measurements using environmental response functions, Biogeosciences, 10, 2193–2217, https://doi.org/10.5194/bg-10-2193-2013, 2013.
Migliavacca, M., Reichstein, M., Richardson, A. D., Mahecha, M. D.,
Cremonese, E., Delpierre, N., Galvagno, M., Law, B. E., Wohlfahrt, G.,
Andrew Black, T., Carvalhais, N., Ceccherini, G., Chen, J., Gobron, N.,
Koffi, E., William Munger, J., Perez-Priego, O., Robustelli, M., Tomelleri,
E., and Cescatti, A.: Influence of physiological phenology on the seasonal
pattern of ecosystem respiration in deciduous forests, Glob. Chang. Biol.,
21, 363–376, https://doi.org/10.1111/gcb.12671, 2015.
Mohanty, B. P., Cosh, M. H., Lakshmi, V., and Montzka, C.: Soil moisture
remote sensing: State-of-the-science, Vadose Zone J., 16, 1–9, https://doi.org/10.2136/vzj2016.10.0105, 2017.
Mu, Q. Z., Heinsch, F. A., Zhao, M., and Running, S. W.: Development of a global evapotranspiration algorithm based on MODIS and global meteorology data, Remote Sens. Environ., 111, 519–536, 2007.
Natural Resources Conservation Service (NRCS): SNOTEL data, available at: https://www.wcc.nrcs.usda.gov/snow/, last access: 1 July 2020.
Novick, K. A., Oishi, A. C., Ward, E. J., Siqueira, M. B. S., Juang, J. Y.,
and Stoy, P. C.: On the difference in the net ecosystem exchange of CO2
between deciduous and evergreen forests in the southeastern United States,
Glob. Chang. Biol., 21, 827–842, https://doi.org/10.1111/gcb.12723, 2015.
Olah, C.: Understanding LSTM Networks,
available at: https://colah.github.io/posts/2015-08-Understanding-LSTMs/ (last access: 1 July 2020), 2015.
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Drewniak, B., Huang, M.,
Koven, C. D., Levis, S., Li, F., Riley, J., Subin, Z. M., Swenson, S. C.,
Thornton, P. E., Bozbiyik, A., Fisher, R. A., Heald, C. L., Kluzek, E.,
Lamarque, J.-F., Lawrence, P. J., Leung, L. R., Lipscomb, W., Muszala, S.,
Ricciuto, D. M., Sacks, W. J., Sun, Y., Tang, J., and Yang, Z.-L.: Technical
Description of version 4.5 of the Community Land Model (CLM), NCAR Technical Note NCAR/TN-503+STR, https://doi.org/10.5065/D6RR1W7M, 2013.
Omernik, J. M.: Perspectives on the nature and definition of ecological
regions, Environ. Manage., 34, S27–38, https://doi.org/10.1007/s00267-003-5197-2, 2004.
Omernik, J. M. and Griffith, G. E.: Ecoregions of the Conterminous United
States: Evolution of a Hierarchical Spatial Framework, Environ. Manage.,
54, 1249–1266, https://doi.org/10.1007/s00267-014-0364-1, 2014.
Oyler, J. W., Dobrowski, S. Z., Ballantyne, A. P., Klene, A. E., and Running,
S. W.: Artificial amplification of warming trends across the mountains of
the western United States, Geophys. Res. Lett., 42, 153–161, https://doi.org/10.1002/2014GL062803,
2015.
Paca, V. H. da M., Espinoza-Dávalos, G. E., Hessels, T. M., Moreira, D.
M., Comair, G. F., and Bastiaanssen, W. G. M.: The spatial variability of
actual evapotranspiration across the Amazon River Basin based on remote
sensing products validated with flux towers, Ecol. Process., 8, 6, https://doi.org/10.1186/s13717-019-0158-8, 2019.
Priestley, C. H. B. and Taylor, R. J.: On the Assessment of Surface Heat
Flux and Evaporation Using Large-Scale Parameters, Mon. Weather Rev., 100, 81-=92, https://doi.org/10.1175/1520-0493(1972)100<0081:otaosh>2.3.co;2,
1972.
Pumpanen, J., Kolari, P., Ilvesniemi, H., Minkkinen, K., Vesala, T.,
Niinistö, S., Lohila, A., Larmola, T., Morero, M., Pihlatie, M.,
Janssens, I., Yuste, J. C., Grünzweig, J. M., Reth, S., Subke, J. A.,
Savage, K., Kutsch, W., Østreng, G., Ziegler, W., Anthoni, P., Lindroth,
A., and Hari, P.: Comparison of different chamber techniques for measuring
soil CO2 efflux, Agric. For. Meteorol., 123, 159–176, https://doi.org/10.1016/j.agrformet.2003.12.001, 2004.
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M.,
Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., Granier, A.,
Grünwald, T., Havránková, K., Ilvesniemi, H., Janous, D., Knohl,
A., Laurila, T., Lohila, A., Loustau, D., Matteucci, G., Meyers, T.,
Miglietta, F., Ourcival, J. M., Pumpanen, J., Rambal, S., Rotenberg, E.,
Sanz, M., Tenhunen, J., Seufert, G., Vaccari, F., Vesala, T., Yakir, D., and
Valentini, R.: On the separation of net ecosystem exchange into assimilation
and ecosystem respiration: Review and improved algorithm, Glob. Chang.
Biol., 11, 1424–1439, https://doi.org/10.1111/j.1365-2486.2005.001002.x, 2005.
Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J.,
Carvalhais, N., and Prabhat: Deep learning and process understanding for
data-driven Earth system science, Nature, 566, 195–204,
https://doi.org/10.1038/s41586-019-0912-1, 2019.
Ren, H., Cromwell, E., Kravitz, B., and Chen, X.: Using Deep Learning to Fill Spatio-Temporal Data Gaps in Hydrological Monitoring Networks, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2019-196, in review, 2019.
Rungee, J., Bales, R., and Goulden, M.: Evapotranspiration response to
multiyear dry periods in the semiarid western United States, Hydrol.
Process., 33, 182– 194, https://doi.org/10.1002/hyp.13322, 2019.
Ryu, Y., Baldocchi, D. D., Kobayashi, H., Van Ingen, C., Li, J., Black, T.
A., Beringer, J., Van Gorsel, E., Knohl, A., Law, B. E., and Roupsard, O.:
Integration of MODIS land and atmosphere products with a coupled-process
model to estimate gross primary productivity and evapotranspiration from 1
km to global scales, Global Biogeochem. Cycles, 25, 1–24,
https://doi.org/10.1029/2011GB004053, 2011.
Seneviratne, S. I., Lüthi, D., Litschi, M., and Schär, C.:
Land-atmosphere coupling and climate change in Europe, Nature, 443, 205–209, https://doi.org/10.1038/nature05095, 2006.
Strachan, S., Kelsey, E. P., Brown, R. F., Dascalu, S., Harris, F., Kent,
G., Lyles, B., McCurdy, G., Slater, D., and Smith, K.: Filling the Data Gaps
in Mountain Climate Observatories Through Advanced Technology, Refined
Instrument Siting, and a Focus on Gradients, Mt. Res. Dev., 36, 518–527,
https://doi.org/10.1659/mrd-journal-d-16-00028.1, 2016.
Suleau, M., Moureaux, C., Dufranne, D., Buysse, P., Bodson, B., Destain, J.
P., Heinesch, B., Debacq, A., and Aubinet, M.: Respiration of three Belgian
crops: Partitioning of total ecosystem respiration in its heterotrophic,
above- and below-ground autotrophic components, Agric. For. Meteorol., 151, 633–643, https://doi.org/10.1016/j.agrformet.2011.01.012, 2011.
Teuling, A. J., Van Loon, A. F., Seneviratne, S. I., Lehner, I., Aubinet,
M., Heinesch, B., Bernhofer, C., Grünwald, T., Prasse, H., and Spank, U.:
Evapotranspiration amplifies European summer drought, Geophys. Res. Lett., 40, 2071–2075,
https://doi.org/10.1002/grl.50495, 2013.
Thornton, P. E., Thornton, M. M., Mayer, B. W., Wei, Y., Devarakonda, R.,
Vose, R. S., and Cook, R. B.: Daymet: Daily Surface Weather Data on a 1-km
Grid for North America, Version 3, ORNL DAAC, Oak Ridge, Tennessee, USA,
2017.
Tran, A. P., Rungee, J., Faybishenko, B., Dafflon, B., and Hubbard, S. S.:
Assessment of spatiotemporal variability of evapotranspiration and its
governing factors in a mountainous watershed, Water, 11, 243, https://doi.org/10.3390/w11020243, 2019.
Visser, A., Thaw, M., Deinhart, A., Bibby, R., Safeeq, M., Conklin, M.,
Esser, B., and Van der Velde, Y.: Cosmogenic Isotopes Unravel the
Hydrochronology and Water Storage Dynamics of the Southern Sierra Critical
Zone, Water Resour. Res., 55, 1429–1450, https://doi.org/10.1029/2018WR023665, 2019.
Viviroli, D. and Weingartner, R.: “Water Towers” – A Global View of the Hydrological Importance of Mountains, in: Mountains: Sources of Water, Sources of Knowledge, Advances in Global Change Research, edited by: Wiegandt E., vol 31, Springer, Dordrecht, https://doi.org/10.1007/978-1-4020-6748-8_2 2008.
Viviroli, D., Dürr, H. H., Messerli, B., Meybeck, M., and Weingartner,
R.: Mountains of the world, water towers for humanity: Typology, mapping,
and global significance, Water Resour. Res., 43, 1–13,
https://doi.org/10.1029/2006WR005653, 2007.
Vogelmann, J. E., Howard, S. M., Yang, L., Larson, C. R., Wylie, B. K., and
Van Driel, N.: Completion of the 1990s National Land Cover Data set for the
conterminous United States from Landsat thematic mapper data and ancillary
data sources, Photogramm. Eng. Remote Sensing, 67, 650–662, 2001.
Webb, R. W., Fassnacht, S. R., and Gooseff, M. N.: Hydrologic flow path development varies by aspect during spring snowmelt in complex subalpine terrain, The Cryosphere, 12, 287–300, https://doi.org/10.5194/tc-12-287-2018, 2018.
Williams, M., Richardson, A. D., Reichstein, M., Stoy, P. C., Peylin, P., Verbeeck, H., Carvalhais, N., Jung, M., Hollinger, D. Y., Kattge, J., Leuning, R., Luo, Y., Tomelleri, E., Trudinger, C. M., and Wang, Y.-P.: Improving land surface models with FLUXNET data, Biogeosciences, 6, 1341–1359, https://doi.org/10.5194/bg-6-1341-2009, 2009.
Wilson, K. B., Hanson, P. J., Mulholland, P. J., Baldocchi, D. D., and
Wullschleger, S. D.: A comparison of methods for determining forest
evapotranspiration and its components: Sap-flow, soil water budget, eddy
covariance and catchment water balance, Agric. For. Meteorol., 106,
153–168, https://doi.org/10.1016/S0168-1923(00)00199-4, 2001.
Xiao, J., Ollinger, S. V., Frolking, S., Hurtt, G. C., Hollinger, D. Y.,
Davis, K. J., Pan, Y., Zhang, X., Deng, F., Chen, J., Baldocchi, D. D., Law,
B. E., Arain, M. A., Desai, A. R., Richardson, A. D., Sun, G., Amiro, B.,
Margolis, H., Gu, L., Scott, R. L., Blanken, P. D., and Suyker, A. E.:
Data-driven diagnostics of terrestrial carbon dynamics over North America,
Agric. For. Meteorol., 197, 142–157, https://doi.org/10.1016/j.agrformet.2014.06.013, 2014.
Xiong, X., Wenny, B., and Barnes, W.: Overview of NASA Earth Observing Systems Terra and Aqua moderate resolution imaging spectroradiometer instrument calibration algorithms and on-orbit performance, J. Appl. Rem. Sens., 3, 032501, https://doi.org/10.1117/1.3180864, 2009.
Xu, H., Xiao, J., Zhang, Z., Ollinger, S. V., Hollinger, D. Y., Pan, Y., and
Wan, J.: Canopy photosynthetic capacity drives contrasting age dynamics of
resource use efficiencies between mature temperate evergreen and deciduous
forests, Glob. Chang. Biol., 26, 6156–6167, https://doi.org/10.1111/gcb.15312, 2020.
Xu, L., Baldocchi, D. D., and Tang, J.: How soil moisture, rain pulses, and
growth alter the response of ecosystem respiration to temperature, Global
Biogeochem. Cycles, 18, 1–10, https://doi.org/10.1029/2004GB002281, 2004.
Xu, T., Guo, Z., Liu, S., He, X., Meng, Y., Xu, Z., Xia, Y., Xiao, J.,
Zhang, Y., Ma, Y., and Song, L.: Evaluating Different Machine Learning
Methods for Upscaling Evapotranspiration from Flux Towers to the Regional
Scale, J. Geophys. Res.-Atmos., 123, 8674–8690,
https://doi.org/10.1029/2018JD028447, 2018.
Zhang, L., Potter, N., Hickel, K., Zhang, Y., and Shao, Q.: Water balance
modeling over variable time scales based on the Budyko framework – Model
development and testing, J. Hydrol., 360, 117–131,
https://doi.org/10.1016/j.jhydrol.2008.07.021, 2008.
Zhang, Y., Kong, D., Gan, R., Chiew, F. H. S., McVicar, T. R., Zhang, Q., and
Yang, Y.: Coupled estimation of 500 m and 8-day resolution global
evapotranspiration and gross primary production in 2002–2017, Remote Sens.
Environ., 222, 165–182, https://doi.org/10.1016/j.rse.2018.12.031, 2019.
Short summary
The novel hybrid predictive modeling (HPM) approach uses a long short-term memory recurrent neural network to estimate evapotranspiration (ET) and ecosystem respiration (Reco) with only meteorological and remote-sensing inputs. We developed four use cases to demonstrate the applicability of HPM. The results indicate HPM is capable of providing ET and Reco estimations in challenging mountainous systems and enhances our understanding of watershed dynamics at sparsely monitored watersheds.
The novel hybrid predictive modeling (HPM) approach uses a long short-term memory recurrent...
