Articles | Volume 26, issue 20
https://doi.org/10.5194/hess-26-5411-2022
© 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-26-5411-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Understanding the diurnal cycle of land–atmosphere interactions from flux site observations
Eunkyo Seo
CORRESPONDING AUTHOR
Center for Ocean-Land-Atmosphere Studies, George Mason University,
Fairfax, 22030, United States
Department of Environmental Atmospheric Sciences, Pukyong National
University, Busan, 48513, Republic of Korea
Paul A. Dirmeyer
Center for Ocean-Land-Atmosphere Studies, George Mason University,
Fairfax, 22030, United States
Related authors
Eunkyo Seo and Paul A. Dirmeyer
EGUsphere, https://doi.org/10.5194/egusphere-2024-1066, https://doi.org/10.5194/egusphere-2024-1066, 2024
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This study examines the impact of using a multi-layer snow scheme in seasonal forecasts. Compared to single-layer schemes, multi-layer schemes better represent snow's insulating effect, improving forecast accuracy for temperature, soil moisture, and precipitation. These enhancements lead to more realistic simulations of land-atmosphere interactions, mitigating biases and improving model performance over mid- and high-latitude regions of the Northern Hemisphere.
Kirsten L. Findell, Zun Yin, Eunkyo Seo, Paul A. Dirmeyer, Nathan P. Arnold, Nathaniel Chaney, Megan D. Fowler, Meng Huang, David M. Lawrence, Po-Lun Ma, and Joseph A. Santanello Jr.
Geosci. Model Dev., 17, 1869–1883, https://doi.org/10.5194/gmd-17-1869-2024, https://doi.org/10.5194/gmd-17-1869-2024, 2024
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We outline a request for sub-daily data to accurately capture the process-level connections between land states, surface fluxes, and the boundary layer response. This high-frequency model output will allow for more direct comparison with observational field campaigns on process-relevant timescales, enable demonstration of inter-model spread in land–atmosphere coupling processes, and aid in targeted identification of sources of deficiencies and opportunities for improvement of the models.
Joonlee Lee, Myong-In Lee, Sunlae Tak, Eunkyo Seo, and Yong-Keun Lee
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-221, https://doi.org/10.5194/gmd-2023-221, 2023
Revised manuscript accepted for GMD
Short summary
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We developed a snow assimilation system using satellite data based on a land surface model. The snow states produced by the assimilation system demonstrate high performance in all regions, including transition regions, compared to the satellite data and land model. As snow significantly influences energy and water balance at the atmosphere-land boundary, this approach allows for a more accurate prediction of atmospheric conditions by realistically representing atmosphere-land interactions.
Eunkyo Seo and Paul A. Dirmeyer
EGUsphere, https://doi.org/10.5194/egusphere-2024-1066, https://doi.org/10.5194/egusphere-2024-1066, 2024
Short summary
Short summary
This study examines the impact of using a multi-layer snow scheme in seasonal forecasts. Compared to single-layer schemes, multi-layer schemes better represent snow's insulating effect, improving forecast accuracy for temperature, soil moisture, and precipitation. These enhancements lead to more realistic simulations of land-atmosphere interactions, mitigating biases and improving model performance over mid- and high-latitude regions of the Northern Hemisphere.
Gaoyun Wang, Rong Fu, Yizhou Zhuang, Paul A. Dirmeyer, Joseph A. Santanello, Guiling Wang, Kun Yang, and Kaighin McColl
Atmos. Chem. Phys., 24, 3857–3868, https://doi.org/10.5194/acp-24-3857-2024, https://doi.org/10.5194/acp-24-3857-2024, 2024
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This study investigates the influence of lower-tropospheric humidity on land–atmosphere coupling (LAC) during warm seasons in the US Southern Great Plains. Using radiosonde data and a buoyancy model, we find that elevated LT humidity is crucial for generating afternoon precipitation events under dry soil conditions not accounted for by conventional LAC indices. This underscores the importance of considering LT humidity in understanding LAC over dry soil during droughts in the SGP.
Kirsten L. Findell, Zun Yin, Eunkyo Seo, Paul A. Dirmeyer, Nathan P. Arnold, Nathaniel Chaney, Megan D. Fowler, Meng Huang, David M. Lawrence, Po-Lun Ma, and Joseph A. Santanello Jr.
Geosci. Model Dev., 17, 1869–1883, https://doi.org/10.5194/gmd-17-1869-2024, https://doi.org/10.5194/gmd-17-1869-2024, 2024
Short summary
Short summary
We outline a request for sub-daily data to accurately capture the process-level connections between land states, surface fluxes, and the boundary layer response. This high-frequency model output will allow for more direct comparison with observational field campaigns on process-relevant timescales, enable demonstration of inter-model spread in land–atmosphere coupling processes, and aid in targeted identification of sources of deficiencies and opportunities for improvement of the models.
Joonlee Lee, Myong-In Lee, Sunlae Tak, Eunkyo Seo, and Yong-Keun Lee
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-221, https://doi.org/10.5194/gmd-2023-221, 2023
Revised manuscript accepted for GMD
Short summary
Short summary
We developed a snow assimilation system using satellite data based on a land surface model. The snow states produced by the assimilation system demonstrate high performance in all regions, including transition regions, compared to the satellite data and land model. As snow significantly influences energy and water balance at the atmosphere-land boundary, this approach allows for a more accurate prediction of atmospheric conditions by realistically representing atmosphere-land interactions.
Zun Yin, Kirsten L. Findell, Paul Dirmeyer, Elena Shevliakova, Sergey Malyshev, Khaled Ghannam, Nina Raoult, and Zhihong Tan
Hydrol. Earth Syst. Sci., 27, 861–872, https://doi.org/10.5194/hess-27-861-2023, https://doi.org/10.5194/hess-27-861-2023, 2023
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Land–atmosphere (L–A) interactions typically focus on daytime processes connecting the land state with the overlying atmospheric boundary layer. However, much prior L–A work used monthly or daily means due to the lack of daytime-only data products. Here we show that monthly smoothing can significantly obscure the L–A coupling signal, and including nighttime information can mute or mask the daytime processes of interest. We propose diagnosing L–A coupling within models or archiving subdaily data.
Liang Chen, Paul A. Dirmeyer, Zhichang Guo, and Natalie M. Schultz
Hydrol. Earth Syst. Sci., 22, 111–125, https://doi.org/10.5194/hess-22-111-2018, https://doi.org/10.5194/hess-22-111-2018, 2018
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This paper evaluates the performance of two commonly used land surface models in simulating deforestation-induced change in surface fluxes using paired FLUXNET observations. Our results highlight the shortcomings in the energy partitioning between latent and sensible heat flux over different land cover types, suggesting the need to improve the representation of surface heat flux processes in land models to increase confidence in LULCC-climate simulations.
Yoshihide Wada, Marc F. P. Bierkens, Ad de Roo, Paul A. Dirmeyer, James S. Famiglietti, Naota Hanasaki, Megan Konar, Junguo Liu, Hannes Müller Schmied, Taikan Oki, Yadu Pokhrel, Murugesu Sivapalan, Tara J. Troy, Albert I. J. M. van Dijk, Tim van Emmerik, Marjolein H. J. Van Huijgevoort, Henny A. J. Van Lanen, Charles J. Vörösmarty, Niko Wanders, and Howard Wheater
Hydrol. Earth Syst. Sci., 21, 4169–4193, https://doi.org/10.5194/hess-21-4169-2017, https://doi.org/10.5194/hess-21-4169-2017, 2017
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Rapidly increasing population and human activities have altered terrestrial water fluxes on an unprecedented scale. Awareness of potential water scarcity led to first global water resource assessments; however, few hydrological models considered the interaction between terrestrial water fluxes and human activities. Our contribution highlights the importance of human activities transforming the Earth's water cycle, and how hydrological models can include such influences in an integrated manner.
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.
Subhadeep Halder, Subodh K. Saha, Paul A. Dirmeyer, Thomas N. Chase, and Bhupendra Nath Goswami
Hydrol. Earth Syst. Sci., 20, 1765–1784, https://doi.org/10.5194/hess-20-1765-2016, https://doi.org/10.5194/hess-20-1765-2016, 2016
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Regional climate model (RegCM4) simulations demonstrate that part of the observed decrease in moderate rainfall events during the summer monsoon season over central India from 1951 to 2005 is attributed to anthropogenically induced land-use land-cover change (LULCC). LULCC also partly explains the observed warming trend in the daily mean and maximum temperatures over India. This study demonstrates the importance of LULCC in the context of regional climate change over India.
A. M. Badger and P. A. Dirmeyer
Hydrol. Earth Syst. Sci., 19, 4547–4557, https://doi.org/10.5194/hess-19-4547-2015, https://doi.org/10.5194/hess-19-4547-2015, 2015
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This study expands upon previous Amazon deforestation modeling studies by using realistic heterogeneous crop cover as replacement vegetation and diagnoses the changes in land-atmosphere coupling due to land use change. With the use of an interactive crop model, the impact that irrigation has on land-atmosphere coupling when using crops as a replacement vegetation is analyzed. This study also provides documentation on the development of tropical crops for CLM4.5.
P. A. Dirmeyer, G. Fang, Z. Wang, P. Yadav, and A. Milton
Hydrol. Earth Syst. Sci., 18, 5317–5329, https://doi.org/10.5194/hess-18-5317-2014, https://doi.org/10.5194/hess-18-5317-2014, 2014
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Climate change simulations project drought to increase even under moderate warming scenarios; both droughts and floods increase sharply with severe warming. Over 20% of the globe is projected to experience reduced rainfall but greater year-to-year variability. The vulnerability of growing regions for many types of crops are assessed based on soil moisture, and rivers using runoff projections. Increased water cycle variability is found to be a threat to agriculture and river systems as well.
S. J. Sutanto, B. van den Hurk, P. A. Dirmeyer, S. I. Seneviratne, T. Röckmann, K. E. Trenberth, E. M. Blyth, J. Wenninger, and G. Hoffmann
Hydrol. Earth Syst. Sci., 18, 2815–2827, https://doi.org/10.5194/hess-18-2815-2014, https://doi.org/10.5194/hess-18-2815-2014, 2014
B. Mueller, M. Hirschi, C. Jimenez, P. Ciais, P. A. Dirmeyer, A. J. Dolman, J. B. Fisher, M. Jung, F. Ludwig, F. Maignan, D. G. Miralles, M. F. McCabe, M. Reichstein, J. Sheffield, K. Wang, E. F. Wood, Y. Zhang, and S. I. Seneviratne
Hydrol. Earth Syst. Sci., 17, 3707–3720, https://doi.org/10.5194/hess-17-3707-2013, https://doi.org/10.5194/hess-17-3707-2013, 2013
Related subject area
Subject: Hydrometeorology | Techniques and Approaches: Theory development
Variation and attribution of probable maximum precipitation of China using a high-resolution dataset in a changing climate
Drought cascades across multiple systems in Central Asia identified based on the dynamic space–time motion approach
What is the Priestley–Taylor wet-surface evaporation parameter? Testing four hypotheses
Breakdown in precipitation–temperature scaling over India predominantly explained by cloud-driven cooling
Historical droughts manifest an abrupt shift to a wetter Tibetan Plateau
Citizen rain gauges improve hourly radar rainfall bias correction using a two-step Kalman filter
Dynamical forcings in heavy precipitation events over Italy: lessons from the HyMeX SOP1 campaign
Water vapor isotopes indicating rapid shift among multiple moisture sources for the 2018–2019 winter extreme precipitation events in southeastern China
Spatiotemporal and cross-scale interactions in hydroclimate variability: a case-study in France
Relative humidity gradients as a key constraint on terrestrial water and energy fluxes
A climatological benchmark for operational radar rainfall bias reduction
The precipitation variability of the wet and dry season at the interannual and interdecadal scales over eastern China (1901–2016): the impacts of the Pacific Ocean
Flash drought onset over the contiguous United States: sensitivity of inventories and trends to quantitative definitions
A skewed perspective of the Indian rainfall–El Niño–Southern Oscillation (ENSO) relationship
Imprints of evaporative conditions and vegetation type in diurnal temperature variations
A universal Standardized Precipitation Index candidate distribution function for observations and simulations
A review of the complementary principle of evaporation: from the original linear relationship to generalized nonlinear functions
Model representation of the coupling between evapotranspiration and soil water content at different depths
Combined impacts of ENSO and MJO on the 2015 growing season drought on the Canadian Prairies
Exploring the relationships between warm-season precipitation, potential evaporation, and “apparent” potential evaporation at site scale
Future extreme precipitation intensities based on a historic event
Interannual-to-multidecadal hydroclimate variability and its sectoral impacts in northeastern Argentina
Impact of ENSO regimes on developing- and decaying-phase precipitation during rainy season in China
Variations in the correlation between teleconnections and Taiwan's streamflow
A gain–loss framework based on ensemble flow forecasts to switch the urban drainage–wastewater system management towards energy optimization during dry periods
The residence time of water in the atmosphere revisited
A systematic assessment of drought termination in the United Kingdom
From meteorological to hydrological drought using standardised indicators
Impact of two different types of El Niño events on runoff over the conterminous United States
Flood sensitivity of the Bavarian Alpine Foreland since the late Middle Ages in the context of internal and external climate forcing factors
Novel indices for the comparison of precipitation extremes and floods: an example from the Czech territory
Multi-annual droughts in the English Lowlands: a review of their characteristics and climate drivers in the winter half-year
Fractional snow-covered area parameterization over complex topography
Comment on "Technical Note: On the Matt–Shuttleworth approach to estimate crop water requirements" by Lhomme et al. (2014)
A review of droughts on the African continent: a geospatial and long-term perspective
Synchronicity of historical dry spells in the Southern Hemisphere
Continental moisture recycling as a Poisson process
Linking ENSO and heavy rainfall events over coastal British Columbia through a weather pattern classification
Impact of elevation and weather patterns on the isotopic composition of precipitation in a tropical montane rainforest
A new perspective on the spatio-temporal variability of soil moisture: temporal dynamics versus time-invariant contributions
Understanding hydroclimate processes in the Murray-Darling Basin for natural resources management
An analytical model for soil-atmosphere feedback
Spatial horizontal correlation characteristics in the land data assimilation of soil moisture
On the factors influencing surface-layer energy closure and their seasonal variability over the semi-arid Loess Plateau of Northwest China
Spatial moments of catchment rainfall: rainfall spatial organisation, basin morphology, and flood response
Scaling and trends of hourly precipitation extremes in two different climate zones – Hong Kong and the Netherlands
The response of Iberian rivers to the North Atlantic Oscillation
Copula-based downscaling of spatial rainfall: a proof of concept
Towards understanding hydroclimatic change in Victoria, Australia – preliminary insights into the "Big Dry"
Extracting statistical parameters of extreme precipitation from a NWP model
Jinghua Xiong, Shenglian Guo, Abhishek, Jiabo Yin, Chongyu Xu, Jun Wang, and Jing Guo
Hydrol. Earth Syst. Sci., 28, 1873–1895, https://doi.org/10.5194/hess-28-1873-2024, https://doi.org/10.5194/hess-28-1873-2024, 2024
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Temporal variability and spatial heterogeneity of climate systems challenge accurate estimation of probable maximum precipitation (PMP) in China. We use high-resolution precipitation data and climate models to explore the variability, trends, and shifts of PMP under climate change. Validated with multi-source estimations, our observations and simulations show significant spatiotemporal divergence of PMP over the country, which is projected to amplify in future due to land–atmosphere coupling.
Lu Tian, Markus Disse, and Jingshui Huang
Hydrol. Earth Syst. Sci., 27, 4115–4133, https://doi.org/10.5194/hess-27-4115-2023, https://doi.org/10.5194/hess-27-4115-2023, 2023
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Anthropogenic global warming accelerates the drought evolution in the water cycle, increasing the unpredictability of drought. The evolution of drought is stealthy and challenging to track. This study proposes a new framework to capture the high-precision spatiotemporal progression of drought events in their evolutionary processes and characterize their feature further. It is crucial for addressing the systemic risks within the hydrological cycle associated with drought mitigation.
Richard D. Crago, Jozsef Szilagyi, and Russell J. Qualls
Hydrol. Earth Syst. Sci., 27, 3205–3220, https://doi.org/10.5194/hess-27-3205-2023, https://doi.org/10.5194/hess-27-3205-2023, 2023
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The Priestley–Taylor equation is widely used in hydrologic, climate, and meteorological models to estimate evaporation. α represents the impact of dry air that is carried into the region; this occurs even in extensive saturated regions. Four hypotheses regarding the nature of α are evaluated. Data from 171 FLUXNET stations were used to test the hypotheses. The best-supported hypothesis sees α as a constant fraction of the distance between theoretical minimum and maximum values.
Sarosh Alam Ghausi, Subimal Ghosh, and Axel Kleidon
Hydrol. Earth Syst. Sci., 26, 4431–4446, https://doi.org/10.5194/hess-26-4431-2022, https://doi.org/10.5194/hess-26-4431-2022, 2022
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The observed response of extreme precipitation to global warming remains unclear with significant regional variations. We show that a large part of this uncertainty can be removed when the imprint of clouds in surface temperatures is removed. We used a thermodynamic systems approach to remove the cloud radiative effect from temperatures. We then found that precipitation extremes intensified with global warming at positive rates which is consistent with physical arguments and model simulations.
Yongwei Liu, Yuanbo Liu, Wen Wang, Han Zhou, and Lide Tian
Hydrol. Earth Syst. Sci., 26, 3825–3845, https://doi.org/10.5194/hess-26-3825-2022, https://doi.org/10.5194/hess-26-3825-2022, 2022
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This study investigated the wetting and drying of the Tibetan Plateau (TP) from variations in soil moisture (SM) droughts. We found the TP experienced an abrupt and significant wetting shift in the middle to late 1990s, not merely the steady trends given in literature. This shift is dominated by precipitation and attributed to the North Atlantic Oscillation. The wetting shift indicates a climate regime change. Our innovative work provides implications for further knowledge of the TP climate.
Punpim Puttaraksa Mapiam, Monton Methaprayun, Thom Bogaard, Gerrit Schoups, and Marie-Claire Ten Veldhuis
Hydrol. Earth Syst. Sci., 26, 775–794, https://doi.org/10.5194/hess-26-775-2022, https://doi.org/10.5194/hess-26-775-2022, 2022
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The density of rain gauge networks plays an important role in radar rainfall bias correction. In this work, we aimed to assess the extent to which daily rainfall observations from a dense network of citizen scientists improve the accuracy of hourly radar rainfall estimates in the Tubma Basin, Thailand. Results show that citizen rain gauges significantly enhance the performance of radar rainfall bias adjustment up to a range of about 40 km from the center of the citizen rain gauge network.
Mario Marcello Miglietta and Silvio Davolio
Hydrol. Earth Syst. Sci., 26, 627–646, https://doi.org/10.5194/hess-26-627-2022, https://doi.org/10.5194/hess-26-627-2022, 2022
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The main results emerging from the HyMeX SOP1 campaign and in the subsequent research activity in three Italian target areas are highlighted through conceptual models and through the identification of the relevant mesoscale environmental characteristics conducive to heavy rain events.
Tao Xu, Hongxi Pang, Zhaojun Zhan, Wangbin Zhang, Huiwen Guo, Shuangye Wu, and Shugui Hou
Hydrol. Earth Syst. Sci., 26, 117–127, https://doi.org/10.5194/hess-26-117-2022, https://doi.org/10.5194/hess-26-117-2022, 2022
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In this study, we presented stable isotopes in atmospheric water vapor and precipitation for five extreme winter precipitation events in Nanjing, southeastern China, from December 2018 to February 2019. Our results imply that multiple moisture sources and the rapid shift among them are important conditions for sustaining extreme precipitation events, especially in the relatively cold and dry winter.
Manuel Fossa, Bastien Dieppois, Nicolas Massei, Matthieu Fournier, Benoit Laignel, and Jean-Philippe Vidal
Hydrol. Earth Syst. Sci., 25, 5683–5702, https://doi.org/10.5194/hess-25-5683-2021, https://doi.org/10.5194/hess-25-5683-2021, 2021
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Hydro-climate observations (such as precipitation, temperature, and river discharge time series) reveal very complex behavior inherited from complex interactions among the physical processes that drive hydro-climate viability. This study shows how even small perturbations of a physical process can have large consequences on some others. Those interactions vary spatially, thus showing the importance of both temporal and spatial dimensions in better understanding hydro-climate variability.
Yeonuk Kim, Monica Garcia, Laura Morillas, Ulrich Weber, T. Andrew Black, and Mark S. Johnson
Hydrol. Earth Syst. Sci., 25, 5175–5191, https://doi.org/10.5194/hess-25-5175-2021, https://doi.org/10.5194/hess-25-5175-2021, 2021
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Here, we present a novel physically based evaporation model to demonstrate that vertical relative humidity (RH) gradients from the land surface to the atmosphere tend to evolve towards zero due to land–atmosphere equilibration processes. Collapsing RH gradients on daily to yearly timescales indicate an emergent land–atmosphere equilibrium, making it possible to determine evapotranspiration using only meteorological information, independent of land surface conditions and vegetation controls.
Ruben Imhoff, Claudia Brauer, Klaas-Jan van Heeringen, Hidde Leijnse, Aart Overeem, Albrecht Weerts, and Remko Uijlenhoet
Hydrol. Earth Syst. Sci., 25, 4061–4080, https://doi.org/10.5194/hess-25-4061-2021, https://doi.org/10.5194/hess-25-4061-2021, 2021
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Significant biases in real-time radar rainfall products limit the use for hydrometeorological forecasting. We introduce CARROTS (Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting), a set of fixed bias reduction factors to correct radar rainfall products and to benchmark other correction algorithms. When tested for 12 Dutch basins, estimated rainfall and simulated discharges with CARROTS generally outperform those using the operational mean field bias adjustments.
Tao Gao, Fuqiang Cao, Li Dan, Ming Li, Xiang Gong, and Junjie Zhan
Hydrol. Earth Syst. Sci., 25, 1467–1481, https://doi.org/10.5194/hess-25-1467-2021, https://doi.org/10.5194/hess-25-1467-2021, 2021
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The rainfall in eastern China is principally concentrated from April–September. Changes are roughly coincident with phase shifts of the El Niño–Southern Oscillation (ENSO) in both the dry (October–March) and wet (April–September) seasons, and the Pacific Decadal Oscillation (PDO) triggers a stronger effect on precipitation in the wet season. The interannual and interdecadal rainfall variability over eastern China is substantially modulated by drivers originating from the Pacific Ocean.
Mahmoud Osman, Benjamin F. Zaitchik, Hamada S. Badr, Jordan I. Christian, Tsegaye Tadesse, Jason A. Otkin, and Martha C. Anderson
Hydrol. Earth Syst. Sci., 25, 565–581, https://doi.org/10.5194/hess-25-565-2021, https://doi.org/10.5194/hess-25-565-2021, 2021
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Our study of flash droughts' definitions over the United States shows that published definitions yield markedly different inventories of flash drought geography and frequency. Results suggest there are several pathways that can lead to events that are characterized as flash droughts. Lack of consensus across definitions helps to explain apparent contradictions in the literature on trends and indicates the selection of a definition is important for accurate monitoring of different mechanisms.
Justin Schulte, Frederick Policielli, and Benjamin Zaitchik
Hydrol. Earth Syst. Sci., 24, 5473–5489, https://doi.org/10.5194/hess-24-5473-2020, https://doi.org/10.5194/hess-24-5473-2020, 2020
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Wavelet coherence is now a commonly used method for detecting scale-dependent relationships between time series. In this study, the concept of wavelet coherence is generalized to higher-order wavelet coherence methods that quantify the relationship between higher-order statistical moments associated with two time series. The methods are applied to the El Niño–Southern Oscillation (ENSO) and the Indian monsoon to show that the ENSO–Indian monsoon relationship is impacted by ENSO nonlinearity.
Annu Panwar, Maik Renner, and Axel Kleidon
Hydrol. Earth Syst. Sci., 24, 4923–4942, https://doi.org/10.5194/hess-24-4923-2020, https://doi.org/10.5194/hess-24-4923-2020, 2020
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Here we examine the effect of evaporative cooling across different vegetation types. Evaporation cools surface temperature significantly in short vegetation. In the forest, the high aerodynamic conductance explains 56 % of the reduced surface temperature. Therefore, the main cooling agent in the forest is the high aerodynamic conductance and not evaporation. Additionally, we propose the diurnal variation in surface temperature as being a potential indicator of evaporation in short vegetation.
Patrick Pieper, André Düsterhus, and Johanna Baehr
Hydrol. Earth Syst. Sci., 24, 4541–4565, https://doi.org/10.5194/hess-24-4541-2020, https://doi.org/10.5194/hess-24-4541-2020, 2020
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The Standardized Precipitation Index (SPI) is a widely accepted drought index. SPI normalizes the precipitation distribution via a probability density function (PDF). However, which PDF properly normalizes SPI is still disputed. We suggest using a previously mostly overlooked PDF, namely the exponentiated Weibull distribution. The proposed PDF ensures the normality of the index. We demonstrate this – for the first time – for all common accumulation periods in both observations and simulations.
Songjun Han and Fuqiang Tian
Hydrol. Earth Syst. Sci., 24, 2269–2285, https://doi.org/10.5194/hess-24-2269-2020, https://doi.org/10.5194/hess-24-2269-2020, 2020
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The complementary principle is an important methodology for estimating actual evaporation by using routinely observed meteorological variables. This review summaries its 56-year development, focusing on how related studies have shifted from adopting a symmetric linear complementary relationship to employing generalized nonlinear functions. We also compare the polynomial and sigmoid types of generalized complementary functions and discuss their future development.
Jianxiu Qiu, Wade T. Crow, Jianzhi Dong, and Grey S. Nearing
Hydrol. Earth Syst. Sci., 24, 581–594, https://doi.org/10.5194/hess-24-581-2020, https://doi.org/10.5194/hess-24-581-2020, 2020
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Accurately estimating coupling of evapotranspiration (ET) and soil water content (θ) at different depths is key to investigating land–atmosphere interaction. Here we examine whether the model can accurately represent surface θ (θs) versus ET coupling and vertically integrated θ (θv) versus ET coupling. We find that all models agree with observations that θs contains slightly more information with fPET than θv. In addition, an ET scheme is crucial for accurately estimating coupling of θ and ET.
Zhenhua Li, Yanping Li, Barrie Bonsal, Alan H. Manson, and Lucia Scaff
Hydrol. Earth Syst. Sci., 22, 5057–5067, https://doi.org/10.5194/hess-22-5057-2018, https://doi.org/10.5194/hess-22-5057-2018, 2018
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The research started by investigating the 2015 growing season drought over the Canadian Prairies and evolved into investigating the connection between growing season rain deficit in the Prairies and MJO (20–90 days tropical oscillation in convective storms). With warm central Pacific sea surface temperature, strong MJOs in the western Pacific cause Rossby wave trains that propagate downstream and favour upper-level ridges and rain deficits over the Canadian Prairies during the growing season.
Xi Chen and Steven G. Buchberger
Hydrol. Earth Syst. Sci., 22, 4535–4545, https://doi.org/10.5194/hess-22-4535-2018, https://doi.org/10.5194/hess-22-4535-2018, 2018
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Based on warm season data from 259 weather stations across the US, we analyze the correlation between precipitation, potential evaporation, and “apparent” potential evaporation (measured by pan evaporation). Over 93 % of the stations show negative correlation between precipitation and
apparentpotential evaporation, but no clear relationship is shown between precipitation and potential evaporation. The collected data points follow the trend of the newly derived Bouchet–Budyko curve.
Iris Manola, Bart van den Hurk, Hans De Moel, and Jeroen C. J. H. Aerts
Hydrol. Earth Syst. Sci., 22, 3777–3788, https://doi.org/10.5194/hess-22-3777-2018, https://doi.org/10.5194/hess-22-3777-2018, 2018
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In a warmer climate, it is expected that precipitation intensities will increase and form a considerable risk of high-impact precipitation extremes. We investigate how observed extreme precipitation events would look like if they took place in a future warmer climate. This study applies three methods to transform a historic extreme precipitation event in the Netherlands to a similar event in a future warmer climate, thus compiling a
future weatherscenario.
Miguel A. Lovino, Omar V. Müller, Gabriela V. Müller, Leandro C. Sgroi, and Walter E. Baethgen
Hydrol. Earth Syst. Sci., 22, 3155–3174, https://doi.org/10.5194/hess-22-3155-2018, https://doi.org/10.5194/hess-22-3155-2018, 2018
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This study examines hydroclimate variability in northeastern Argentina; advances the understanding of its links with global SST forcing; and discusses its impacts on water resources, agriculture and human settlements. Interannual-to-multidecadal variability led to frequent extreme events. Severe floods affected agriculture, livestock productivity, and forced population displacements. Droughts affected water resources, causing water and food scarcity. Increased temperatures reduced crop yields.
Qing Cao, Zhenchun Hao, Feifei Yuan, Zhenkuan Su, Ronny Berndtsson, Jie Hao, and Tsring Nyima
Hydrol. Earth Syst. Sci., 21, 5415–5426, https://doi.org/10.5194/hess-21-5415-2017, https://doi.org/10.5194/hess-21-5415-2017, 2017
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This study analyzed the rainy-season precipitation in China influenced by various ENSO types. The precipitation anomalies were investigated under different ENSO types, which may be attributed to the combined influence of anti-cyclone in the western North Pacific and the Indian monsoon. The results improve the understanding of linkages between the precipitation and global teleconnection patterns. The results suggest a certain predictability of flood and drought related to different ENSO types.
Chia-Jeng Chen and Tsung-Yu Lee
Hydrol. Earth Syst. Sci., 21, 3463–3481, https://doi.org/10.5194/hess-21-3463-2017, https://doi.org/10.5194/hess-21-3463-2017, 2017
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Regional hydro-climatic variables are modulated by large-scale, reoccurring climate oscillations. In this article, the authors provide both statistical and physical evidence of how Taiwan’s summertime streamflow is strongly correlated with specific teleconnection patterns dominating cyclonic activity in the western North Pacific. However, such correlation can be strengthened or weakened by notable climate regime shifts, illustrating the pitfall of empirical seasonal forecasting.
Vianney Courdent, Morten Grum, Thomas Munk-Nielsen, and Peter S. Mikkelsen
Hydrol. Earth Syst. Sci., 21, 2531–2544, https://doi.org/10.5194/hess-21-2531-2017, https://doi.org/10.5194/hess-21-2531-2017, 2017
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Urban drainage and wastewater systems are heavily impacted by precipitation. Hence, weather forecasts are valuable in improving their management. However, forecasts are intrinsically uncertain, especially when fine model resolution is required, which is the case for urban hydrology. Handling uncertainty is challenging for decision makers. This study presents an economic framework to support the decision-making process by providing information on when acting on the forecast is beneficial.
Ruud J. van der Ent and Obbe A. Tuinenburg
Hydrol. Earth Syst. Sci., 21, 779–790, https://doi.org/10.5194/hess-21-779-2017, https://doi.org/10.5194/hess-21-779-2017, 2017
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This research seeks out to answer a fundamental question about the functioning of the water cycle in the atmosphere: how much time does a water particle spend in the atmosphere? Based on state-of-the-art data, we derive a global average residence time of water in the atmosphere of 8–10 days. We further show in this paper how the residence time of water varies in time and space. This serves to illustrate why it is so difficult to make weather predictions on timescales longer than a week.
Simon Parry, Robert L. Wilby, Christel Prudhomme, and Paul J. Wood
Hydrol. Earth Syst. Sci., 20, 4265–4281, https://doi.org/10.5194/hess-20-4265-2016, https://doi.org/10.5194/hess-20-4265-2016, 2016
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This paper identifies periods of recovery from drought in 52 river flow records from the UK between 1883 and 2013. The approach detects 459 events that vary in space and time. This large dataset allows individual events to be compared with others in the historical record. The ability to objectively appraise contemporary events against the historical record has not previously been possible, and may allow water managers to prepare for a range of outcomes at the end of a drought.
Lucy J. Barker, Jamie Hannaford, Andrew Chiverton, and Cecilia Svensson
Hydrol. Earth Syst. Sci., 20, 2483–2505, https://doi.org/10.5194/hess-20-2483-2016, https://doi.org/10.5194/hess-20-2483-2016, 2016
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Standardised meteorological indicators are widely used in drought monitoring, but applications to hydrological drought are less extensive. Here we assess the utility of standardised indicators for characterising drought duration, severity and propagation in a diverse set of 121 UK catchments. Spatial variations in streamflow drought characteristics reflect differences in drought propagation behaviour that are themselves largely driven by heterogeneity in catchment properties around the UK.
T. Tang, W. Li, and G. Sun
Hydrol. Earth Syst. Sci., 20, 27–37, https://doi.org/10.5194/hess-20-27-2016, https://doi.org/10.5194/hess-20-27-2016, 2016
O. Böhm, J. Jacobeit, R. Glaser, and K.-F. Wetzel
Hydrol. Earth Syst. Sci., 19, 4721–4734, https://doi.org/10.5194/hess-19-4721-2015, https://doi.org/10.5194/hess-19-4721-2015, 2015
M. Müller, M. Kašpar, A. Valeriánová, L. Crhová, E. Holtanová, and B. Gvoždíková
Hydrol. Earth Syst. Sci., 19, 4641–4652, https://doi.org/10.5194/hess-19-4641-2015, https://doi.org/10.5194/hess-19-4641-2015, 2015
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Three proposed indices combine return periods of precipitation totals or discharges with the size of the affected area. Precipitation indices also determine actual duration of either extreme or seasonally abnormal precipitation events. A unified design of the indices enables one to easily compare inter-annual and seasonal distributions of events, which is demonstrated by 50 maximum events in the Czech Republic during the period 1961-2010, including the June 2013 floods.
C. K. Folland, J. Hannaford, J. P. Bloomfield, M. Kendon, C. Svensson, B. P. Marchant, J. Prior, and E. Wallace
Hydrol. Earth Syst. Sci., 19, 2353–2375, https://doi.org/10.5194/hess-19-2353-2015, https://doi.org/10.5194/hess-19-2353-2015, 2015
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The English Lowlands is a heavily populated, water-stressed region, which is vulnerable to long droughts typically associated with dry winters. We conduct a long-term (1910-present) quantitative analysis of precipitation, flow and groundwater droughts for the region, and then review potential climatic drivers. No single driver is dominant, but we demonstrate a physical link between La Nina conditions, winter rainfall and long droughts in the region.
N. Helbig, A. van Herwijnen, J. Magnusson, and T. Jonas
Hydrol. Earth Syst. Sci., 19, 1339–1351, https://doi.org/10.5194/hess-19-1339-2015, https://doi.org/10.5194/hess-19-1339-2015, 2015
W. J. Shuttleworth
Hydrol. Earth Syst. Sci., 18, 4403–4406, https://doi.org/10.5194/hess-18-4403-2014, https://doi.org/10.5194/hess-18-4403-2014, 2014
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This paper explains the Matt-Shuttleworth approach clearly, simply and concisely. It shows how this approach can be implemented using a few simple equations and provides access to ancillary calculation resources that can be used for such implementation. If the crop water requirement community considered it preferable to use the Penman-Monteith equation to estimate crop water requirements directly for all crops, this could now be done using the Matt-Shuttleworth approach.
I. Masih, S. Maskey, F. E. F. Mussá, and P. Trambauer
Hydrol. Earth Syst. Sci., 18, 3635–3649, https://doi.org/10.5194/hess-18-3635-2014, https://doi.org/10.5194/hess-18-3635-2014, 2014
D. C. Verdon-Kidd and A. S. Kiem
Hydrol. Earth Syst. Sci., 18, 2257–2264, https://doi.org/10.5194/hess-18-2257-2014, https://doi.org/10.5194/hess-18-2257-2014, 2014
H. F. Goessling and C. H. Reick
Hydrol. Earth Syst. Sci., 17, 4133–4142, https://doi.org/10.5194/hess-17-4133-2013, https://doi.org/10.5194/hess-17-4133-2013, 2013
P. Brigode, Z. Mićović, P. Bernardara, E. Paquet, F. Garavaglia, J. Gailhard, and P. Ribstein
Hydrol. Earth Syst. Sci., 17, 1455–1473, https://doi.org/10.5194/hess-17-1455-2013, https://doi.org/10.5194/hess-17-1455-2013, 2013
D. Windhorst, T. Waltz, E. Timbe, H.-G. Frede, and L. Breuer
Hydrol. Earth Syst. Sci., 17, 409–419, https://doi.org/10.5194/hess-17-409-2013, https://doi.org/10.5194/hess-17-409-2013, 2013
H. Mittelbach and S. I. Seneviratne
Hydrol. Earth Syst. Sci., 16, 2169–2179, https://doi.org/10.5194/hess-16-2169-2012, https://doi.org/10.5194/hess-16-2169-2012, 2012
A. J. E. Gallant, A. S. Kiem, D. C. Verdon-Kidd, R. C. Stone, and D. J. Karoly
Hydrol. Earth Syst. Sci., 16, 2049–2068, https://doi.org/10.5194/hess-16-2049-2012, https://doi.org/10.5194/hess-16-2049-2012, 2012
B. Schaefli, R. J. van der Ent, R. Woods, and H. H. G. Savenije
Hydrol. Earth Syst. Sci., 16, 1863–1878, https://doi.org/10.5194/hess-16-1863-2012, https://doi.org/10.5194/hess-16-1863-2012, 2012
X. Han, X. Li, H. J. Hendricks Franssen, H. Vereecken, and C. Montzka
Hydrol. Earth Syst. Sci., 16, 1349–1363, https://doi.org/10.5194/hess-16-1349-2012, https://doi.org/10.5194/hess-16-1349-2012, 2012
X. Xiao, H. C. Zuo, Q. D. Yang, S. J. Wang, L. J. Wang, J. W. Chen, B. L. Chen, and B. D. Zhang
Hydrol. Earth Syst. Sci., 16, 893–910, https://doi.org/10.5194/hess-16-893-2012, https://doi.org/10.5194/hess-16-893-2012, 2012
D. Zoccatelli, M. Borga, A. Viglione, G. B. Chirico, and G. Blöschl
Hydrol. Earth Syst. Sci., 15, 3767–3783, https://doi.org/10.5194/hess-15-3767-2011, https://doi.org/10.5194/hess-15-3767-2011, 2011
G. Lenderink, H. Y. Mok, T. C. Lee, and G. J. van Oldenborgh
Hydrol. Earth Syst. Sci., 15, 3033–3041, https://doi.org/10.5194/hess-15-3033-2011, https://doi.org/10.5194/hess-15-3033-2011, 2011
J. Lorenzo-Lacruz, S. M. Vicente-Serrano, J. I. López-Moreno, J. C. González-Hidalgo, and E. Morán-Tejeda
Hydrol. Earth Syst. Sci., 15, 2581–2597, https://doi.org/10.5194/hess-15-2581-2011, https://doi.org/10.5194/hess-15-2581-2011, 2011
M. J. van den Berg, S. Vandenberghe, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 15, 1445–1457, https://doi.org/10.5194/hess-15-1445-2011, https://doi.org/10.5194/hess-15-1445-2011, 2011
A. S. Kiem and D. C. Verdon-Kidd
Hydrol. Earth Syst. Sci., 14, 433–445, https://doi.org/10.5194/hess-14-433-2010, https://doi.org/10.5194/hess-14-433-2010, 2010
J. Eliasson, O. Rögnvaldsson, and T. Jonsson
Hydrol. Earth Syst. Sci., 13, 2233–2240, https://doi.org/10.5194/hess-13-2233-2009, https://doi.org/10.5194/hess-13-2233-2009, 2009
Cited articles
Alemohammad, S. H., Fang, B., Konings, A. G., Aires, F., Green, J. K., Kolassa, J., Miralles, D., Prigent, C., and Gentine, P.: Water, Energy, and Carbon with Artificial Neural Networks (WECANN): a statistically based estimate of global surface turbulent fluxes and gross primary productivity using solar-induced fluorescence, Biogeosciences, 14, 4101–4124, https://doi.org/10.5194/bg-14-4101-2017, 2017.
Barr, A. G. and Betts, A. K.: Radiosonde boundary layer budgets above a
boreal forest, J. Geophys. Res.-Atmos., 102,
29205–29212, 1997.
Benson, D. O. and Dirmeyer, P. A.: Characterizing the relationship between
temperature and soil moisture extremes and their role in the exacerbation of
heat waves over the contiguous United States, Jo. Climate, 34,
2175–2187, 2021.
Betts, A.: FIFE atmospheric boundary layer budget methods, J.
Geophys. Res.-Atmos., 97, 18523–18531, 1992.
Betts, A. K., Ball, J. H., Beljaars, A. C., Miller, M. J., and Viterbo, P.
A.: The land surface-atmosphere interaction: A review based on observational
and global modeling perspectives, J. Geophys. Res.-Atmos., 101, 7209–7225, 1996.
Cheng, Y., Sayde, C., Li, Q., Basara, J., Selker, J., Tanner, E., and
Gentine, P.: Failure of Taylor's hypothesis in the atmospheric surface layer
and its correction for eddy-covariance measurements, Geophys. Res. Lett., 44, 4287–4295, 2017.
Colliander, A., Jackson, T. J., Bindlish, R., Chan, S., Das, N., Kim, S.,
Cosh, M., Dunbar, R., Dang, L., and Pashaian, L.: Validation of SMAP surface
soil moisture products with core validation sites, Remote Sens.
Environ., 191, 215–231, 2017.
Crow, W. T., Lei, F., Hain, C., Anderson, M. C., Scott, R. L., Billesbach,
D., and Arkebauer, T.: Robust estimates of soil moisture and latent heat
flux coupling strength obtained from triple collocation, Geophys.
Res. Lett., 42, 8415–8423, 2015.
Denissen, J., Orth, R., Wouters, H., Miralles, D. G., van Heerwaarden, C.
C., de Arellano, J. V.-G., and Teuling, A. J.: Soil moisture signature in
global weather balloon soundings, npj Climate and Atmospheric Science, 4,
1–8, 2021.
Dirmeyer, P. A.: The terrestrial segment of soil moisture–climate coupling,
Geophys. Res. Lett., 38, L16702, https://doi.org/10.1029/2011GL048268, 2011.
Dirmeyer, P. A., Zeng, F. J., Ducharne, A., Morrill, J. C., and Koster, R.
D.: The sensitivity of surface fluxes to soil water content in three land
surface schemes, J. Hydrometeorol., 1, 121–134, 2000.
Dirmeyer, P. A., Gao, X., Zhao, M., Guo, Z., Oki, T., and Hanasaki, N.:
GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land
Surface, B. Am. Meteorol. Soc., 87, 1381–1398, https://doi.org/10.1175/bams-87-10-1381, 2006.
Dirmeyer, P. A., Wang, Z., Mbuh, M. J., and Norton, H. E.: Intensified land
surface control on boundary layer growth in a changing climate, Geophys.
Res. Lett., 41, 1290–1294, 2014.
Dirmeyer, P. A., Wu, J., Norton, H. E., Dorigo, W. A., Quiring, S. M., Ford,
T. W., Santanello Jr., J. A., Bosilovich, M. G., Ek, M. B., and Koster, R.
D.: Confronting weather and climate models with observational data from soil
moisture networks over the United States, J. Hydrometeorol., 17,
1049–1067, 2016.
Dirmeyer, P. A., Chen, L., Wu, J., Shin, C.-S., Huang, B., Cash, B. A.,
Bosilovich, M. G., Mahanama, S., Koster, R. D., and Santanello, J. A.:
Verification of land–atmosphere coupling in forecast models, reanalyses,
and land surface models using flux site observations, J.
Hydrometeorol., 19, 375–392, 2018.
Dirmeyer, P. A., Balsamo, G., Blyth, E. M., Morrison, R., and Cooper, H. M.:
Land-atmosphere interactions exacerbated the drought and heatwave over
northern Europe during summer 2018, AGU Advances, 2, e2020AV000283, https://doi.org/10.1029/2020AV000283, 2021.
Dong, J., Akbar, R., Short Gianotti, D. J., Feldman, A. F., Crow, W. T., and
Entekhabi, D.: Can Surface Soil Moisture Information Identify
Evapotranspiration Regime Transitions?, Geophys. Res. Lett., 49,
e2021GL097697, https://doi.org/10.1029/2021GL097697, 2022.
Dorigo, W., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L.,
Chung, D., Ertl, M., Forkel, M., and Gruber, A.: ESA CCI Soil Moisture for
improved Earth system understanding: State-of-the art and future directions,
Remote Sens. Environ., 203, 185–215, 2017.
Dorigo, W. A., Wagner, W., Hohensinn, R., Hahn, S., Paulik, C., Xaver, A., Gruber, A., Drusch, M., Mecklenburg, S., van Oevelen, P., Robock, A., and Jackson, T.: The International Soil Moisture Network: a data hosting facility for global in situ soil moisture measurements, Hydrol. Earth Syst. Sci., 15, 1675–1698, https://doi.org/10.5194/hess-15-1675-2011, 2011.
Drought 2018 Team and ICOS Ecosystem Thematic Centre: Drought-2018 ecosystem eddy covariance flux product for 52 stations in FLUXNET-Archive format, ICOS [data set], https://doi.org/10.18160/YVR0-4898, 2020.
Ek, M. and and Holtslag, A.: Influence of soil moisture on boundary layer
cloud development, J. Hydrometeorol., 5, 86–99, 2004.
Entekhabi, D., Njoku, E. G., O'Neill, P. E., Kellogg, K. H., Crow, W. T.,
Edelstein, W. N., Entin, J. K., Goodman, S. D., Jackson, T. J., and Johnson,
J.: The soil moisture active passive (SMAP) mission, P.
IEEE, 98, 704–716, 2010.
ekseo: ekseo/Diurnal_LA_coupling: v1.0 (v1.0), Zenodo [code], https://doi.org/10.5281/zenodo.7242215, 2022.
Evans, J. G., Ward, H., Blake, J., Hewitt, E., Morrison, R., Fry, M., Ball,
L., Doughty, L., Libre, J., and Hitt, O.: Soil water content in southern
England derived from a cosmic-ray soil moisture observing system–COSMOS-UK,
Hydrol. Process., 30, 4987–4999, 2016.
Findell, K. L. and Eltahir, E. A.: Atmospheric controls on soil
moisture–boundary layer interactions. Part II: Feedbacks within the
continental United States, J. Hydrometeorol., 4, 570–583, 2003a.
Findell, K. L. and Eltahir, E. A.: Atmospheric controls on soil
moisture–boundary layer interactions. Part I: Framework development,
J. Hydrometeorol., 4, 552–569, 2003b.
Findell, K. L., Gentine, P., Lintner, B. R., and Kerr, C.: Probability of
afternoon precipitation in eastern United States and Mexico enhanced by high
evaporation, Nat. Geosci., 4, 434–439, 2011.
Guo, J., Zhang, J., Yang, K., Liao, H., Zhang, S., Huang, K., Lv, Y., Shao, J., Yu, T., Tong, B., Li, J., Su, T., Yim, S. H. L., Stoffelen, A., Zhai, P., and Xu, X.: Investigation of near-global daytime boundary layer height using high-resolution radiosondes: first results and comparison with ERA5, MERRA-2, JRA-55, and NCEP-2 reanalyses, Atmos. Chem. Phys., 21, 17079–17097, https://doi.org/10.5194/acp-21-17079-2021, 2021.
Guo, Z., Dirmeyer, P. A., Koster, R. D., Sud, Y., Bonan, G., Oleson, K. W.,
Chan, E., Verseghy, D., Cox, P., and Gordon, C.: GLACE: the global
land–atmosphere coupling experiment. Part II: analysis, J.
Hydrometeorol., 7, 611–625, 2006.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., and Schepers, D.:
The ERA5 global reanalysis, Q. J. Roy. Meteorol.
Soc., 146, 1999–2049, 2020 (data available at: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels, last access: 24 October 2022).
Kapilaratne, R. J. and Lu, M.: Automated general temperature correction
method for dielectric soil moisture sensors, J. Hydrol., 551,
203–216, 2017.
Kerr, Y. H., Waldteufel, P., Wigneron, J.-P., Delwart, S., Cabot, F.,
Boutin, J., Escorihuela, M.-J., Font, J., Reul, N., and Gruhier, C.: The
SMOS mission: New tool for monitoring key elements ofthe global water cycle,
P. IEEE, 98, 666–687, 2010.
Koster, R. D., Dirmeyer, P. A., Hahmann, A. N., Ijpelaar, R., Tyahla, L.,
Cox, P., and Suarez, M. J.: Comparing the Degree of Land–Atmosphere
Interaction in Four Atmospheric General Circulation Models, J.
Hydrometeorol., 3, 363–375, https://doi.org/10.1175/1525-7541(2002)003<0363:Ctdola>2.0.Co;2, 2002.
Koster, R. D., Dirmeyer, P. A., Guo, Z., Bonan, G., Chan, E., Cox, P.,
Gordon, C., Kanae, S., Kowalczyk, E., and Lawrence, D.: Regions of strong
coupling between soil moisture and precipitation, Science, 305, 1138–1140,
2004.
Koster, R. D., Sud, Y., Guo, Z., Dirmeyer, P. A., Bonan, G., Oleson, K. W.,
Chan, E., Verseghy, D., Cox, P., and Davies, H.: GLACE: the global
land–atmosphere coupling experiment. Part I: overview, J.
Hydrometeorol., 7, 590–610, 2006.
Koster, R. D., Mahanama, S. P. P., Yamada, T. J., Balsamo, G., Berg, A. A.,
Boisserie, M., Dirmeyer, P. A., Doblas-Reyes, F. J., Drewitt, G., Gordon, C.
T., Guo, Z., Jeong, J.-H., Lee, W.-S., Li, Z., Luo, L., Malyshev, S.,
Merryfield, W. J., Seneviratne, S. I., Stanelle, T., van den Hurk, B. J. J.
M., Vitart, F., and Wood, E. F.: The Second Phase of the Global
Land–Atmosphere Coupling Experiment: Soil Moisture Contributions to
Subseasonal Forecast Skill, J. Hydrometeorol., 12, 805–822,
https://doi.org/10.1175/2011jhm1365.1, 2011.
Lawrence, D. M., Hurtt, G. C., Arneth, A., Brovkin, V., Calvin, K. V., Jones, A. D., Jones, C. D., Lawrence, P. J., de Noblet-Ducoudré, N., Pongratz, J., Seneviratne, S. I., and Shevliakova, E.: The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design, Geosci. Model Dev., 9, 2973–2998, https://doi.org/10.5194/gmd-9-2973-2016, 2016.
Leroux, D. J., Kerr, Y. H., Al Bitar, A., Bindlish, R., Jackson, T. J.,
Berthelot, B., and Portet, G.: Comparison between SMOS, VUA, ASCAT, and
ECMWF soil moisture products over four watersheds in US, IEEE T.
Geosci. Remote, 52, 1562–1571, 2013.
Lorenz, R., Pitman, A. J., Hirsch, A. L., and Srbinovsky, J.: Intraseasonal
versus interannual measures of land–atmosphere coupling strength in a
global climate model: GLACE-1 versus GLACE-CMIP5 experiments in ACCESS1. 3b,
J. Hydrometeorol., 16, 2276–2295, 2015.
Ma, H., Zeng, J., Chen, N., Zhang, X., Cosh, M. H., and Wang, W.: Satellite
surface soil moisture from SMAP, SMOS, AMSR2 and ESA CCI: A comprehensive
assessment using global ground-based observations, Remote Sens.
Environ., 231, 111215, https://doi.org/10.1016/j.rse.2019.111215, 2019.
Miralles, D., Van Den Berg, M., Teuling, A., and De Jeu, R.: Soil
moisture-temperature coupling: A multiscale observational analysis,
Geophys. Res. Lett., 39, L21707, https://doi.org/10.1029/2012GL053703, 2012.
Miralles, D. G., Jiménez, C., Jung, M., Michel, D., Ershadi, A., McCabe, M. F., Hirschi, M., Martens, B., Dolman, A. J., Fisher, J. B., Mu, Q., Seneviratne, S. I., Wood, E. F., and Fernández-Prieto, D.: The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets, Hydrol. Earth Syst. Sci., 20, 823–842, https://doi.org/10.5194/hess-20-823-2016, 2016.
Miralles, D. G., Gentine, P., Seneviratne, S. I., and Teuling, A. J.:
Land–atmospheric feedbacks during droughts and heatwaves: state of the
science and current challenges, Ann. NY Acad. Sci.,
1436, 19–35, 2019.
Novick, K. A., Biederman, J., Desai, A., Litvak, M., Moore, D. J., Scott,
R., and Torn, M.: The AmeriFlux network: A coalition of the willing,
Agr. Forest Meteorol., 249, 444–456, 2018 (data available at: https://ameriflux.lbl.gov/data/download-data/, last access: 24 October 2022).
Pastorello, G., Trotta, C., Canfora, E., Chu, H., Christianson, D., Cheah,
Y.-W., Poindexter, C., Chen, J., Elbashandy, A., and Humphrey, M.: The
FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance
data, Scientific Data, 7, 1–27, 2020 (data available at: https://fluxnet.org/data/download-data/, last access: 24 October 2022).
Quiring, S. M., Ford, T. W., Wang, J. K., Khong, A., Harris, E., Lindgren,
T., Goldberg, D. W., and Li, Z.: The North American Soil Moisture Database:
Development and Applications, B. Am. Meteorol.
Soc., 97, 1441–1459, https://doi.org/10.1175/bams-d-13-00263.1, 2016.
Reichle, R. H., De Lannoy, G. J., Liu, Q., Ardizzone, J. V., Colliander, A.,
Conaty, A., Crow, W., Jackson, T. J., Jones, L. A., and Kimball, J. S.:
Assessment of the SMAP level-4 surface and root-zone soil moisture product
using in situ measurements, J. Hydrometeorol., 18, 2621–2645,
2017.
Reichstein, M., Falge, E., Baldocchi, D., Papale, D., Aubinet, M.,
Berbigier, P., Bernhofer, C., Buchmann, N., Gilmanov, T., and Granier, A.:
On the separation of net ecosystem exchange into assimilation and ecosystem
respiration: review and improved algorithm, Glob. Change Biol., 11,
1424–1439, 2005.
Santanello Jr., J. A., Peters-Lidard, C. D., Kumar, S. V., Alonge, C., and
Tao, W.-K.: A modeling and observational framework for diagnosing local
land–atmosphere coupling on diurnal time scales, J. Hydrometeorol., 10, 577–599, 2009.
Santanello Jr., J. A., Peters-Lidard, C. D., and Kumar, S. V.: Diagnosing the
sensitivity of local land–atmosphere coupling via the soil
moisture–boundary layer interaction, J. Hydrometeorol., 12,
766–786, 2011.
Santanello Jr., J. A., Dirmeyer, P. A., Ferguson, C. R., Findell, K. L.,
Tawfik, A. B., Berg, A., Ek, M., Gentine, P., Guillod, B. P., and Van
Heerwaarden, C.: Land–atmosphere interactions: The LoCo perspective,
B. Am. Meteorol. Soc., 99, 1253–1272, 2018.
Schumacher, D. L., Keune, J., Van Heerwaarden, C. C., Vilà-Guerau de
Arellano, J., Teuling, A. J., and Miralles, D. G.: Amplification of
mega-heatwaves through heat torrents fuelled by upwind drought, Nat.
Geosci., 12, 712–717, 2019.
Senécal, J.-F., Doyon, F., and Messier, C.: Management implications of
varying gap detection height thresholds and other canopy dynamics processes
in temperate deciduous forests, Forest Ecol. Manag., 410, 84–94,
2018.
Seneviratne, S. I., Corti, T., Davin, E. L., Hirschi, M., Jaeger, E. B.,
Lehner, I., Orlowsky, B., and Teuling, A. J.: Investigating soil
moisture–climate interactions in a changing climate: A review,
Earth-Sci. Rev., 99, 125–161, 2010.
Seneviratne, S. I., Wilhelm, M., Stanelle, T., van den Hurk, B., Hagemann,
S., Berg, A., Cheruy, F., Higgins, M. E., Meier, A., Brovkin, V., Claussen,
M., Ducharne, A., Dufresne, J.-L., Findell, K. L., Ghattas, J., Lawrence, D.
M., Malyshev, S., Rummukainen, M., and Smith, B.: Impact of soil
moisture-climate feedbacks on CMIP5 projections: First results from the
GLACE-CMIP5 experiment, Geophys. Res. Lett., 40, 5212–5217,
https://doi.org/10.1002/grl.50956, 2013.
Seo, E. and Dirmeyer, P. A.: Improving the ESA CCI Daily Soil Moisture Time
Series with Physically Based Land Surface Model Datasets Using a Fourier
Time-Filtering Method, J. Hydrometeorol., 23, 473–489, https://doi.org/10.1175/jhm-d-21-0120.1, 2022.
Seo, E., Lee, M.-I., Jeong, J.-H., Koster, R. D., Schubert, S. D., Kim,
H.-M., Kim, D., Kang, H.-S., Kim, H.-K., and MacLachlan, C.: Impact of soil
moisture initialization on boreal summer subseasonal forecasts: mid-latitude
surface air temperature and heat wave events, Clim. Dynam., 52,
1695–1709, 2019.
Seo, E., Lee, M.-I., Schubert, S. D., Koster, R. D., and Kang, H.-S.:
Investigation of the 2016 Eurasia heat wave as an event of the recent
warming, Environ. Res. Lett., 15, 114018, https://doi.org/10.1088/1748-9326/abbbae, 2020.
Seo, E., Lee, M.-I., and Reichle, R. H.: Assimilation of SMAP and ASCAT soil
moisture retrievals into the JULES land surface model using the Local
Ensemble Transform Kalman Filter, Remote Sens. Environ., 253,
112222, https://doi.org/10.1016/j.rse.2020.112222, 2021.
Still, C. J.: Meteorological data from the Discovery Tree at the Andrews Experimental Forest, 2015 to present ver 2, Environmental Data Initiative, https://doi.org/10.6073/pasta/3f2717e614e96d67bbe59918a75ee646, 2019 (data available at: https://portal.edirepository.org/nis/mapbrowse?packageid=knb-lter-and.5476.2, last access: 24 October 2022).
Stommel, H.: Entrainment of air into a cumulus cloud, J. Meteorol., 4, 91–94,
1947.
Swenson, S. C., Burns, S. P., and Lawrence, D. M.: The impact of biomass
heat storage on the canopy energy balance and atmospheric stability in the
community land model, J. Adv. Model. Earth Sy., 11,
83–98, 2019.
Tawfik, A. B. and Dirmeyer, P. A.: A process-based framework for quantifying
the atmospheric preconditioning of surface-triggered convection, Geophys. Res. Lett., 41, 173–178, 2014.
Tawfik, A. B., Dirmeyer, P. A., and Santanello, J. A.: The heated
condensation framework. Part I: Description and Southern Great Plains case
study, J. Hydrometeorol., 16, 1929–1945, 2015a.
Tawfik, A. B., Dirmeyer, P. A., and Santanello Jr., J. A.: The heated
condensation framework. Part II: Climatological behavior of convective
initiation and land–atmosphere coupling over the conterminous United
States, J. Hydrometeorol., 16, 1946–1961, 2015b.
Tramontana, G., Jung, M., Schwalm, C. R., Ichii, K., Camps-Valls, G., Ráduly, B., Reichstein, M., Arain, M. A., Cescatti, A., Kiely, G., Merbold, L., Serrano-Ortiz, P., Sickert, S., Wolf, S., and Papale, D.: Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms, Biogeosciences, 13, 4291–4313, https://doi.org/10.5194/bg-13-4291-2016, 2016.
Van de Boer, A., Moene, A., Graf, A., Schüttemeyer, D., and Simmer, C.:
Detection of entrainment influences on surface-layer measurements and
extension of Monin–Obukhov similarity theory, Bound.-Lay. Meteorol.,
152, 19–44, 2014.
van den Hurk, B., Kim, H., Krinner, G., Seneviratne, S. I., Derksen, C., Oki, T., Douville, H., Colin, J., Ducharne, A., Cheruy, F., Viovy, N., Puma, M. J., Wada, Y., Li, W., Jia, B., Alessandri, A., Lawrence, D. M., Weedon, G. P., Ellis, R., Hagemann, S., Mao, J., Flanner, M. G., Zampieri, M., Materia, S., Law, R. M., and Sheffield, J.: LS3MIP (v1.0) contribution to CMIP6: the Land Surface, Snow and Soil moisture Model Intercomparison Project – aims, setup and expected outcome, Geosci. Model Dev., 9, 2809–2832, https://doi.org/10.5194/gmd-9-2809-2016, 2016.
Van Heerwaarden, C. C., Vilà-Guerau de Arellano, J., Moene, A. F., and
Holtslag, A. A.: Interactions between dry-air entrainment, surface
evaporation and convective boundary-layer development, Quarterly Journal of
the Royal Meteorological Society: A journal of the atmospheric sciences,
Applied Meteorology and Physical Oceanography, 135, 1277–1291, 2009.
van Stratum, B. J., de Arellano, J. V.-G., van Heerwaarden, C. C., and
Ouwersloot, H. G.: Subcloud-layer feedbacks driven by the mass flux of
shallow cumulus convection over land, J. Atmos. Sci.,
71, 881–895, 2014.
Vilà-Guerau de Arellano, J., Ney, P., Hartogensis, O., de Boer, H., van Diepen, K., Emin, D., de Groot, G., Klosterhalfen, A., Langensiepen, M., Matveeva, M., Miranda-García, G., Moene, A. F., Rascher, U., Röckmann, T., Adnew, G., Brüggemann, N., Rothfuss, Y., and Graf, A.: CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions, Biogeosciences, 17, 4375–4404, https://doi.org/10.5194/bg-17-4375-2020, 2020.
Wulfmeyer, V., Turner, D. D., Baker, B., Banta, R., Behrendt, A., Bonin, T.,
Brewer, W. A., Buban, M., Choukulkar, A., Dumas, E., Hardesty, R. M., Heus,
T., Ingwersen, J., Lange, D., Lee, T. R., Metzendorf, S., Muppa, S. K.,
Meyers, T., Newsom, R., Osman, M., Raasch, S., Santanello, J., Senff, C.,
Späth, F., Wagner, T., and Weckwerth, T.: A New Research Approach for
Observing and Characterizing Land–Atmosphere Feedback, B. Am. Meteorol. Soc., 99, 1639–1667, https://doi.org/10.1175/bams-d-17-0009.1,
2018.
Xue, Y., De Sales, F., Lau, W. K.-M., Boone, A., Kim, K.-M., Mechoso, C. R.,
Wang, G., Kucharski, F., Schiro, K., and Hosaka, M.: West African monsoon
decadal variability and surface-related forcings: second West African
Monsoon Modeling and Evaluation Project Experiment (WAMME II), Clim.
Dynam., 47, 3517–3545, 2016.
Xue, Y., Yao, T., Boone, A. A., Diallo, I., Liu, Y., Zeng, X., Lau, W. K. M., Sugimoto, S., Tang, Q., Pan, X., van Oevelen, P. J., Klocke, D., Koo, M.-S., Sato, T., Lin, Z., Takaya, Y., Ardilouze, C., Materia, S., Saha, S. K., Senan, R., Nakamura, T., Wang, H., Yang, J., Zhang, H., Zhao, M., Liang, X.-Z., Neelin, J. D., Vitart, F., Li, X., Zhao, P., Shi, C., Guo, W., Tang, J., Yu, M., Qian, Y., Shen, S. S. P., Zhang, Y., Yang, K., Leung, R., Qiu, Y., Peano, D., Qi, X., Zhan, Y., Brunke, M. A., Chou, S. C., Ek, M., Fan, T., Guan, H., Lin, H., Liang, S., Wei, H., Xie, S., Xu, H., Li, W., Shi, X., Nobre, P., Pan, Y., Qin, Y., Dozier, J., Ferguson, C. R., Balsamo, G., Bao, Q., Feng, J., Hong, J., Hong, S., Huang, H., Ji, D., Ji, Z., Kang, S., Lin, Y., Liu, W., Muncaster, R., de Rosnay, P., Takahashi, H. G., Wang, G., Wang, S., Wang, W., Zhou, X., and Zhu, Y.: Impact of Initialized Land Surface Temperature and Snowpack on Subseasonal to Seasonal Prediction Project, Phase I (LS4P-I): organization and experimental design, Geosci. Model Dev., 14, 4465–4494, https://doi.org/10.5194/gmd-14-4465-2021, 2021.
Zhang, Y., Wang, L., Santanello Jr., J. A., Pan, Z., Gao, Z., and Li, D.:
Aircraft observed diurnal variations of the planetary boundary layer under
heat waves, Atmos. Res., 235, 104801, https://doi.org/10.1016/j.atmosres.2019.104801, 2020.
Zreda, M., Desilets, D., Ferré, T., and Scott, R. L.: Measuring soil
moisture content non-invasively at intermediate spatial scale using
cosmic-ray neutrons, Geophys. Res. Lett., 35, L21402, https://doi.org/10.1029/2008GL035655, 2008.
Short summary
This study presents the climatology of the observed land–atmosphere interactions on a subdaily timescale during the warm season from flux site observations. Multivariate metrics are employed to examine the land, atmosphere, and combined couplings, and a mixing diagram is adopted to understand the coevolution of the moist and thermal energy budget within the atmospheric mixed layer. The diurnal cycles of both mixing diagrams and hourly land–atmosphere couplings exhibit hysteresis.
This study presents the climatology of the observed land–atmosphere interactions on a subdaily...