Articles | Volume 23, issue 2
Hydrol. Earth Syst. Sci., 23, 925–948, 2019
https://doi.org/10.5194/hess-23-925-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 925–948, 2019
https://doi.org/10.5194/hess-23-925-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 18 Feb 2019
Research article | 18 Feb 2019
Potential evaporation at eddy-covariance sites across the globe
Wouter H. Maes et al.
Related authors
Paul C. Stoy, Tarek S. El-Madany, Joshua B. Fisher, Pierre Gentine, Tobias Gerken, Stephen P. Good, Anne Klosterhalfen, Shuguang Liu, Diego G. Miralles, Oscar Perez-Priego, Angela J. Rigden, Todd H. Skaggs, Georg Wohlfahrt, Ray G. Anderson, A. Miriam J. Coenders-Gerrits, Martin Jung, Wouter H. Maes, Ivan Mammarella, Matthias Mauder, Mirco Migliavacca, Jacob A. Nelson, Rafael Poyatos, Markus Reichstein, Russell L. Scott, and Sebastian Wolf
Biogeosciences, 16, 3747–3775, https://doi.org/10.5194/bg-16-3747-2019, https://doi.org/10.5194/bg-16-3747-2019, 2019
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Key findings are the nearly optimal response of T to atmospheric water vapor pressure deficits across methods and scales. Additionally, the notion that T / ET intermittently approaches 1, which is a basis for many partitioning methods, does not hold for certain methods and ecosystems. To better constrain estimates of E and T from combined ET measurements, we propose a combination of independent measurement techniques to better constrain E and T at the ecosystem scale.
Wouter H. Maes, Pierre Gentine, Niko E. C. Verhoest, and Diego G. Miralles
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-682, https://doi.org/10.5194/hess-2017-682, 2018
Revised manuscript not accepted
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Potential evaporation is a key parameter in numerous models used for assessing water use and drought severity. Yet, multiple incompatible methods have been proposed, thus estimates of potential evaporation remain uncertain. Based on the largest available dataset of FLUXNET data, we identify the best method to calculate potential evaporation globally. A simple radiation-driven method calibrated per biome consistently performed best; more complex models did not perform as good.
Ana Bastos, René Orth, Markus Reichstein, Philippe Ciais, Nicolas Viovy, Sönke Zaehle, Peter Anthoni, Almut Arneth, Pierre Gentine, Emilie Joetzjer, Sebastian Lienert, Tammas Loughran, Patrick C. McGuire, Sungmin O, Julia Pongratz, and Stephen Sitch
Earth Syst. Dynam., 12, 1015–1035, https://doi.org/10.5194/esd-12-1015-2021, https://doi.org/10.5194/esd-12-1015-2021, 2021
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Temperate biomes in Europe are not prone to recurrent dry and hot conditions in summer. However, these conditions may become more frequent in the coming decades. Because stress conditions can leave legacies for many years, this may result in reduced ecosystem resilience under recurrent stress. We assess vegetation vulnerability to the hot and dry summers in 2018 and 2019 in Europe and find the important role of inter-annual legacy effects from 2018 in modulating the impacts of the 2019 event.
Joaquín Muñoz-Sabater, Emanuel Dutra, Anna Agustí-Panareda, Clément Albergel, Gabriele Arduini, Gianpaolo Balsamo, Souhail Boussetta, Margarita Choulga, Shaun Harrigan, Hans Hersbach, Brecht Martens, Diego G. Miralles, María Piles, Nemesio J. Rodríguez-Fernández, Ervin Zsoter, Carlo Buontempo, and Jean-Noël Thépaut
Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021, https://doi.org/10.5194/essd-13-4349-2021, 2021
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The creation of ERA5-Land responds to a growing number of applications requiring global land datasets at a resolution higher than traditionally reached. ERA5-Land provides operational, global, and hourly key variables of the water and energy cycles over land surfaces, at 9 km resolution, from 1981 until the present. This work provides evidence of an overall improvement of the water cycle compared to previous reanalyses, whereas the energy cycle variables perform as well as those of ERA5.
Ren Wang, Pierre Gentine, Jiabo Yin, Lijuan Chen, Jianyao Chen, and Longhui Li
Hydrol. Earth Syst. Sci., 25, 3805–3818, https://doi.org/10.5194/hess-25-3805-2021, https://doi.org/10.5194/hess-25-3805-2021, 2021
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Assessment of changes in the global water cycle has been a challenge. This study estimated long-term global latent heat and sensible heat fluxes for recent decades using machine learning and ground observations. The results found that the decline in evaporative fraction was typically accompanied by an increase in long-term runoff in over 27.06 % of the global land areas. The observation-driven findings emphasized that surface vegetation has great impacts in regulating water and energy cycles.
Jessica Keune, Dominik L. Schumacher, and Diego G. Miralles
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2021-180, https://doi.org/10.5194/gmd-2021-180, 2021
Preprint under review for GMD
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Air is transporting moisture and heat, shaping the weather we experience. When and where was this air moistened and warmed by the surface? To address this question, atmospheric models trace the history of air parcels in space and time. However, their uncertainties remain unexplored, which hinders their utility and application. Here, we present a framework that sheds light on these uncertainties. Our approach sets a new standard in the assessment of atmospheric moisture and heat trajectories.
Christopher Krich, Mirco Migliavacca, Diego G. Miralles, Guido Kraemer, Tarek S. El-Madany, Markus Reichstein, Jakob Runge, and Miguel D. Mahecha
Biogeosciences, 18, 2379–2404, https://doi.org/10.5194/bg-18-2379-2021, https://doi.org/10.5194/bg-18-2379-2021, 2021
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Ecosystems and the atmosphere interact with each other. These interactions determine e.g. the water and carbon fluxes and thus are crucial to understand climate change effects. We analysed the interactions for many ecosystems across the globe, showing that very different ecosystems can have similar interactions with the atmosphere. Meteorological conditions seem to be the strongest interaction-shaping factor. This means that common principles can be identified to describe ecosystem behaviour.
Andrew F. Feldman, Daniel J. Short Gianotti, Alexandra G. Konings, Pierre Gentine, and Dara Entekhabi
Biogeosciences, 18, 831–847, https://doi.org/10.5194/bg-18-831-2021, https://doi.org/10.5194/bg-18-831-2021, 2021
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We quantify global plant water uptake durations after rainfall using satellite-based plant water content measurements. In wetter regions, plant water uptake occurs within a day due to rapid coupling between soil and plant water content. Drylands show multi-day plant water uptake after rain pulses, providing widespread evidence for slow rehydration responses and pulse-driven growth responses. Our results suggest that drylands are sensitive to projected shifts in rainfall intensity and frequency.
Hylke E. Beck, Ming Pan, Diego G. Miralles, Rolf H. Reichle, Wouter A. Dorigo, Sebastian Hahn, Justin Sheffield, Lanka Karthikeyan, Gianpaolo Balsamo, Robert M. Parinussa, Albert I. J. M. van Dijk, Jinyang Du, John S. Kimball, Noemi Vergopolan, and Eric F. Wood
Hydrol. Earth Syst. Sci., 25, 17–40, https://doi.org/10.5194/hess-25-17-2021, https://doi.org/10.5194/hess-25-17-2021, 2021
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We evaluated the largest and most diverse set of surface soil moisture products ever evaluated in a single study. We found pronounced differences in performance among individual products and product groups. Our results provide guidance to choose the most suitable product for a particular application.
Manuel Schlund, Axel Lauer, Pierre Gentine, Steven C. Sherwood, and Veronika Eyring
Earth Syst. Dynam., 11, 1233–1258, https://doi.org/10.5194/esd-11-1233-2020, https://doi.org/10.5194/esd-11-1233-2020, 2020
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As an important measure of climate change, the Equilibrium Climate Sensitivity (ECS) describes the change in surface temperature after a doubling of the atmospheric CO2 concentration. Climate models from the Coupled Model Intercomparison Project (CMIP) show a wide range in ECS. Emergent constraints are a technique to reduce uncertainties in ECS with observational data. Emergent constraints developed with data from CMIP phase 5 show reduced skill and higher ECS ranges when applied to CMIP6 data.
Jorn Van de Velde, Matthias Demuzere, Bernard De Baets, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-639, https://doi.org/10.5194/hess-2020-639, 2020
Preprint under review for HESS
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An important step in projecting future climate is the bias adjustment of the climatological and hydrological variables. In this paper, we illustrate how bias adjustment can be impaired by bias nonstationarity. Two univariate and three multivariate methods are compared, and for both types the bias nonstationarity can be linked with less robust adjustment. However, the multivariate methods show greater variability and thus univariate methods may currently be preferred.
Renaud Hostache, Dominik Rains, Kaniska Mallick, Marco Chini, Ramona Pelich, Hans Lievens, Fabrizio Fenicia, Giovanni Corato, Niko E. C. Verhoest, and Patrick Matgen
Hydrol. Earth Syst. Sci., 24, 4793–4812, https://doi.org/10.5194/hess-24-4793-2020, https://doi.org/10.5194/hess-24-4793-2020, 2020
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Our objective is to investigate how satellite microwave sensors, particularly Soil Moisture and Ocean Salinity (SMOS), may help to reduce errors and uncertainties in soil moisture simulations with a large-scale conceptual hydro-meteorological model. We assimilated a long time series of SMOS observations into a hydro-meteorological model and showed that this helps to improve model predictions. This work therefore contributes to the development of faster and more accurate drought prediction tools.
Brecht Martens, Dominik L. Schumacher, Hendrik Wouters, Joaquín Muñoz-Sabater, Niko E. C. Verhoest, and Diego G. Miralles
Geosci. Model Dev., 13, 4159–4181, https://doi.org/10.5194/gmd-13-4159-2020, https://doi.org/10.5194/gmd-13-4159-2020, 2020
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Climate reanalyses are widely used in different fields and an in-depth evaluation of the different variables provided by reanalyses is a necessary means to provide feedback on the quality to their users and the operational centres producing these data sets. In this study, we show the improvements of ECMWF's latest climate reanalysis (ERA5) upon its predecessor (ERA-Interim) in partitioning the available energy at the land surface.
Karina von Schuckmann, Lijing Cheng, Matthew D. Palmer, James Hansen, Caterina Tassone, Valentin Aich, Susheel Adusumilli, Hugo Beltrami, Tim Boyer, Francisco José Cuesta-Valero, Damien Desbruyères, Catia Domingues, Almudena García-García, Pierre Gentine, John Gilson, Maximilian Gorfer, Leopold Haimberger, Masayoshi Ishii, Gregory C. Johnson, Rachel Killick, Brian A. King, Gottfried Kirchengast, Nicolas Kolodziejczyk, John Lyman, Ben Marzeion, Michael Mayer, Maeva Monier, Didier Paolo Monselesan, Sarah Purkey, Dean Roemmich, Axel Schweiger, Sonia I. Seneviratne, Andrew Shepherd, Donald A. Slater, Andrea K. Steiner, Fiammetta Straneo, Mary-Louise Timmermans, and Susan E. Wijffels
Earth Syst. Sci. Data, 12, 2013–2041, https://doi.org/10.5194/essd-12-2013-2020, https://doi.org/10.5194/essd-12-2013-2020, 2020
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Understanding how much and where the heat is distributed in the Earth system is fundamental to understanding how this affects warming oceans, atmosphere and land, rising temperatures and sea level, and loss of grounded and floating ice, which are fundamental concerns for society. This study is a Global Climate Observing System (GCOS) concerted international effort to obtain the Earth heat inventory over the period 1960–2018.
Jorn Van de Velde, Bernard De Baets, Matthias Demuzere, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-83, https://doi.org/10.5194/hess-2020-83, 2020
Revised manuscript not accepted
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Though climate models have different types of biases in comparison to the observations, most research is focused on adjusting the intensity. Yet, variables like precipitation are also biased in the occurrence: there are too many days with rainfall. We compared four methods for adjusting the occurrence, with the goal of improving flood representation. From this comparison, we concluded that more advanced methods do not necessarily add value, especially in multivariate settings.
Jian Peng, Simon Dadson, Feyera Hirpa, Ellen Dyer, Thomas Lees, Diego G. Miralles, Sergio M. Vicente-Serrano, and Chris Funk
Earth Syst. Sci. Data, 12, 753–769, https://doi.org/10.5194/essd-12-753-2020, https://doi.org/10.5194/essd-12-753-2020, 2020
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Africa has been severely influenced by intense drought events, which has led to crop failure, food shortages, famine, epidemics and even mass migration. The current study developed a high spatial resolution drought dataset entirely from satellite-based products. The dataset has been comprehensively inter-compared with other drought indicators and may contribute to an improved characterization of drought risk and vulnerability and minimize drought's impact on water and food security in Africa.
Christopher Krich, Jakob Runge, Diego G. Miralles, Mirco Migliavacca, Oscar Perez-Priego, Tarek El-Madany, Arnaud Carrara, and Miguel D. Mahecha
Biogeosciences, 17, 1033–1061, https://doi.org/10.5194/bg-17-1033-2020, https://doi.org/10.5194/bg-17-1033-2020, 2020
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Causal inference promises new insight into biosphere–atmosphere interactions using time series only. To understand the behaviour of a specific method on such data, we used artificial and observation-based data. The observed structures are very interpretable and reveal certain ecosystem-specific behaviour, as only a few relevant links remain, in contrast to pure correlation techniques. Thus, causal inference allows to us gain well-constrained insights into processes and interactions.
Miguel D. Mahecha, Fabian Gans, Gunnar Brandt, Rune Christiansen, Sarah E. Cornell, Normann Fomferra, Guido Kraemer, Jonas Peters, Paul Bodesheim, Gustau Camps-Valls, Jonathan F. Donges, Wouter Dorigo, Lina M. Estupinan-Suarez, Victor H. Gutierrez-Velez, Martin Gutwin, Martin Jung, Maria C. Londoño, Diego G. Miralles, Phillip Papastefanou, and Markus Reichstein
Earth Syst. Dynam., 11, 201–234, https://doi.org/10.5194/esd-11-201-2020, https://doi.org/10.5194/esd-11-201-2020, 2020
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The ever-growing availability of data streams on different subsystems of the Earth brings unprecedented scientific opportunities. However, researching a data-rich world brings novel challenges. We present the concept of
Earth system data cubesto study the complex dynamics of multiple climate and ecosystem variables across space and time. Using a series of example studies, we highlight the potential of effectively considering the full multivariate nature of processes in the Earth system.
Jeroen Claessen, Annalisa Molini, Brecht Martens, Matteo Detto, Matthias Demuzere, and Diego G. Miralles
Biogeosciences, 16, 4851–4874, https://doi.org/10.5194/bg-16-4851-2019, https://doi.org/10.5194/bg-16-4851-2019, 2019
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Bidirectional interactions between vegetation and climate are unraveled over short (monthly) and long (inter-annual) temporal scales. Analyses use a novel causal inference method based on wavelet theory. The performance of climate models at representing these interactions is benchmarked against satellite data. Climate models can reproduce the overall climate controls on vegetation at all temporal scales, while their performance at representing biophysical feedbacks on climate is less adequate.
Pierre Gentine, Adam Massmann, Benjamin R. Lintner, Sayed Hamed Alemohammad, Rong Fu, Julia K. Green, Daniel Kennedy, and Jordi Vilà-Guerau de Arellano
Hydrol. Earth Syst. Sci., 23, 4171–4197, https://doi.org/10.5194/hess-23-4171-2019, https://doi.org/10.5194/hess-23-4171-2019, 2019
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Land–atmosphere interactions are key for the exchange of water, energy, and carbon dioxide, especially in the tropics. We here review some of the recent findings on land–atmosphere interactions in the tropics and where we see potential challenges and paths forward.
Paul C. Stoy, Tarek S. El-Madany, Joshua B. Fisher, Pierre Gentine, Tobias Gerken, Stephen P. Good, Anne Klosterhalfen, Shuguang Liu, Diego G. Miralles, Oscar Perez-Priego, Angela J. Rigden, Todd H. Skaggs, Georg Wohlfahrt, Ray G. Anderson, A. Miriam J. Coenders-Gerrits, Martin Jung, Wouter H. Maes, Ivan Mammarella, Matthias Mauder, Mirco Migliavacca, Jacob A. Nelson, Rafael Poyatos, Markus Reichstein, Russell L. Scott, and Sebastian Wolf
Biogeosciences, 16, 3747–3775, https://doi.org/10.5194/bg-16-3747-2019, https://doi.org/10.5194/bg-16-3747-2019, 2019
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Key findings are the nearly optimal response of T to atmospheric water vapor pressure deficits across methods and scales. Additionally, the notion that T / ET intermittently approaches 1, which is a basis for many partitioning methods, does not hold for certain methods and ecosystems. To better constrain estimates of E and T from combined ET measurements, we propose a combination of independent measurement techniques to better constrain E and T at the ecosystem scale.
Hendrik Wouters, Irina Y. Petrova, Chiel C. van Heerwaarden, Jordi Vilà-Guerau de Arellano, Adriaan J. Teuling, Vicky Meulenberg, Joseph A. Santanello, and Diego G. Miralles
Geosci. Model Dev., 12, 2139–2153, https://doi.org/10.5194/gmd-12-2139-2019, https://doi.org/10.5194/gmd-12-2139-2019, 2019
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The free software CLASS4GL (http://class4gl.eu) is designed to investigate the dynamic atmospheric boundary layer (ABL) with weather balloons. It mines observational data from global radio soundings, satellite and reanalysis data from the last 40 years to constrain and initialize an ABL model and automizes multiple experiments in parallel. CLASS4GL aims at fostering a better understanding of land–atmosphere feedbacks and the drivers of extreme weather.
Wen Li Zhao, Yu Jiu Xiong, Kyaw Tha Paw U, Pierre Gentine, Baoyu Chen, and Guo Yu Qiu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-160, https://doi.org/10.5194/hess-2019-160, 2019
Manuscript not accepted for further review
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Accurate evapotranspiration (ET) estimation requires an in-depth identification of uncertainty sources. Using high density eddy covariance observations, we evaluated the effects of resistances on ET estimation and discussed possible solutions. The results show that more complex resistance parameterizations leads to more uncertainty, although prior calibration can improve the ET estimates and that a new model without resistance parameterization introduces less uncertainty into the ET estimation.
Adam Massmann, Pierre Gentine, and Changjie Lin
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-553, https://doi.org/10.5194/hess-2018-553, 2018
Revised manuscript not accepted
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Plants can sense increasing dryness in the air and close up the pores
on their leaves, preventing water loss. However, drier air also
naturally demands more water from the land surface. Here we develop a
simplified theory for when land surface water loss increases
(atmospheric demand dominates) or decreases (plant response dominates)
in response to increased dryness in the air. This theory provides
intuition for how ecosystems regulate water in response to changes in
atmospheric dryness.
Tim van Emmerik, Susan Steele-Dunne, Pierre Gentine, Rafael S. Oliveira, Paulo Bittencourt, Fernanda Barros, and Nick van de Giesen
Biogeosciences, 15, 6439–6449, https://doi.org/10.5194/bg-15-6439-2018, https://doi.org/10.5194/bg-15-6439-2018, 2018
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Trees are very important for the water and carbon cycles. Climate and weather models often assume constant vegetation parameters because good measurements are missing. We used affordable accelerometers to measure tree sway of 19 trees in the Amazon rainforest. We show that trees respond very differently to the same weather conditions, which means that vegetation parameters are dynamic. With our measurements trees can be accounted for more realistically, improving climate and weather models.
Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, and Pierre Gentine
Hydrol. Earth Syst. Sci., 22, 5341–5356, https://doi.org/10.5194/hess-22-5341-2018, https://doi.org/10.5194/hess-22-5341-2018, 2018
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A new machine learning algorithm is developed to downscale satellite-based soil moisture estimates from their native spatial scale of 9 km to 2.25 km.
Christina Papagiannopoulou, Diego G. Miralles, Matthias Demuzere, Niko E. C. Verhoest, and Willem Waegeman
Geosci. Model Dev., 11, 4139–4153, https://doi.org/10.5194/gmd-11-4139-2018, https://doi.org/10.5194/gmd-11-4139-2018, 2018
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Common global land cover and climate classifications are based on vegetation–climatic characteristics derived from observational data, ignoring the interaction between the local climate and biome. Here, we model the interplay between vegetation and local climate by discovering spatial relationships among different locations. The resulting global
hydro-climatic biomescorrespond to regions of coherent climate–vegetation interactions that agree well with traditional global land cover maps.
Yao Zhang, Joanna Joiner, Seyed Hamed Alemohammad, Sha Zhou, and Pierre Gentine
Biogeosciences, 15, 5779–5800, https://doi.org/10.5194/bg-15-5779-2018, https://doi.org/10.5194/bg-15-5779-2018, 2018
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Using satellite reflectance measurements and a machine learning algorithm, we generated a new solar-induced chlorophyll fluorescence (SIF) dataset that is closely linked to plant photosynthesis. This new dataset has higher spatial and temporal resolutions, and lower uncertainty compared to the existing satellite retrievals. We also demonstrated its application in monitoring drought and improving the understanding of the SIF–photosynthesis relationship.
Carlos Jiménez, Brecht Martens, Diego M. Miralles, Joshua B. Fisher, Hylke E. Beck, and Diego Fernández-Prieto
Hydrol. Earth Syst. Sci., 22, 4513–4533, https://doi.org/10.5194/hess-22-4513-2018, https://doi.org/10.5194/hess-22-4513-2018, 2018
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Observing the amount of water evaporated in nature is not easy, and we need to combine accurate local measurements with estimates from satellites, more uncertain but covering larger areas. This is the main topic of our paper, in which local observations are compared with global land evaporation estimates, followed by a weighting of the global observations based on this comparison to attempt derive a more accurate evaporation product.
Minh Tu Pham, Hilde Vernieuwe, Bernard De Baets, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci., 22, 1263–1283, https://doi.org/10.5194/hess-22-1263-2018, https://doi.org/10.5194/hess-22-1263-2018, 2018
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In this paper, stochastically generated rainfall and corresponding evapotranspiration time series, generated by means of vine copulas, are used to force a simple conceptual hydrological model. The results obtained are comparable to the modelled discharge using observed forcing data. Yet, uncertainties in the modelled discharge increase with an increasing number of stochastically generated time series used. Still, the developed model has great potential for hydrological impact analysis.
Wouter H. Maes, Pierre Gentine, Niko E. C. Verhoest, and Diego G. Miralles
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-682, https://doi.org/10.5194/hess-2017-682, 2018
Revised manuscript not accepted
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Potential evaporation is a key parameter in numerous models used for assessing water use and drought severity. Yet, multiple incompatible methods have been proposed, thus estimates of potential evaporation remain uncertain. Based on the largest available dataset of FLUXNET data, we identify the best method to calculate potential evaporation globally. A simple radiation-driven method calibrated per biome consistently performed best; more complex models did not perform as good.
Dominik Rains, Xujun Han, Hans Lievens, Carsten Montzka, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci., 21, 5929–5951, https://doi.org/10.5194/hess-21-5929-2017, https://doi.org/10.5194/hess-21-5929-2017, 2017
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We have assimilated 6 years of satellite-observed passive microwave data into a state-of-the-art land surface model to improve surface soil moisture as well as root-zone soil moisture simulations. Long-term assimilation effects/biases are identified, and they are especially dependent on model perturbations, applied to simulate model uncertainty. The implications are put into context of using such assimilation-improved data for classifying extremes within hydrological monitoring systems.
Katrien Van Eerdenbrugh, Stijn Van Hoey, Gemma Coxon, Jim Freer, and Niko E. C. Verhoest
Hydrol. Earth Syst. Sci., 21, 5315–5337, https://doi.org/10.5194/hess-21-5315-2017, https://doi.org/10.5194/hess-21-5315-2017, 2017
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Consistency in stage–discharge data is investigated using a methodology called Bidirectional Reach (BReach). Various measurement stations in the UK, New Zealand and Belgium are selected based on their historical ratings information and their characteristics related to data consistency. When applying a BReach analysis on them, the methodology provides results that appear consistent with the available knowledge and thus facilitates a reliable assessment of (in)consistency in stage–discharge data.
Seyed Hamed Alemohammad, Bin Fang, Alexandra G. Konings, Filipe Aires, Julia K. Green, Jana Kolassa, Diego Miralles, Catherine Prigent, and Pierre Gentine
Biogeosciences, 14, 4101–4124, https://doi.org/10.5194/bg-14-4101-2017, https://doi.org/10.5194/bg-14-4101-2017, 2017
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Water, Energy, and Carbon with Artificial Neural Networks (WECANN) is a statistically based estimate of global surface latent and sensible heat fluxes and gross primary productivity. The retrieval uses six remotely sensed observations as input, including the solar-induced fluorescence. WECANN provides estimates on a 1° × 1° geographic grid and on a monthly time scale and outperforms other global products in capturing the seasonality of the fluxes when compared to eddy covariance tower data.
Matthew F. McCabe, Matthew Rodell, Douglas E. Alsdorf, Diego G. Miralles, Remko Uijlenhoet, Wolfgang Wagner, Arko Lucieer, Rasmus Houborg, Niko E. C. Verhoest, Trenton E. Franz, Jiancheng Shi, Huilin Gao, and Eric F. Wood
Hydrol. Earth Syst. Sci., 21, 3879–3914, https://doi.org/10.5194/hess-21-3879-2017, https://doi.org/10.5194/hess-21-3879-2017, 2017
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We examine the opportunities and challenges that technological advances in Earth observation will present to the hydrological community. From advanced space-based sensors to unmanned aerial vehicles and ground-based distributed networks, these emergent systems are set to revolutionize our understanding and interpretation of hydrological and related processes.
Christa D. Peters-Lidard, Martyn Clark, Luis Samaniego, Niko E. C. Verhoest, Tim van Emmerik, Remko Uijlenhoet, Kevin Achieng, Trenton E. Franz, and Ross Woods
Hydrol. Earth Syst. Sci., 21, 3701–3713, https://doi.org/10.5194/hess-21-3701-2017, https://doi.org/10.5194/hess-21-3701-2017, 2017
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In this synthesis of hydrologic scaling and similarity, we assert that it is time for hydrology to embrace a fourth paradigm of data-intensive science. Advances in information-based hydrologic science, coupled with an explosion of hydrologic data and advances in parameter estimation and modeling, have laid the foundation for a data-driven framework for scrutinizing hydrological hypotheses. We call upon the community to develop a focused effort towards a fourth paradigm for hydrology.
Brecht Martens, Diego G. Miralles, Hans Lievens, Robin van der Schalie, Richard A. M. de Jeu, Diego Fernández-Prieto, Hylke E. Beck, Wouter A. Dorigo, and Niko E. C. Verhoest
Geosci. Model Dev., 10, 1903–1925, https://doi.org/10.5194/gmd-10-1903-2017, https://doi.org/10.5194/gmd-10-1903-2017, 2017
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Terrestrial evaporation is a key component of the hydrological cycle and reliable data sets of this variable are of major importance. The Global Land Evaporation Amsterdam Model (GLEAM, www.GLEAM.eu) is a set of algorithms which estimates evaporation based on satellite observations. The third version of GLEAM, presented in this study, includes an improved parameterization of different model components. As a result, the accuracy of the GLEAM data sets has been improved upon previous versions.
Christina Papagiannopoulou, Diego G. Miralles, Stijn Decubber, Matthias Demuzere, Niko E. C. Verhoest, Wouter A. Dorigo, and Willem Waegeman
Geosci. Model Dev., 10, 1945–1960, https://doi.org/10.5194/gmd-10-1945-2017, https://doi.org/10.5194/gmd-10-1945-2017, 2017
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Global satellite observations provide a means to unravel the influence of climate on vegetation. Common statistical methods used to study the relationships between climate and vegetation are often too simplistic to capture the complexity of these relationships. Here, we present a novel causality framework that includes data fusion from various databases, time series decomposition, and machine learning techniques. Results highlight the highly non-linear nature of climate–vegetation interactions.
Carolin Klinger, Bernhard Mayer, Fabian Jakub, Tobias Zinner, Seung-Bu Park, and Pierre Gentine
Atmos. Chem. Phys., 17, 5477–5500, https://doi.org/10.5194/acp-17-5477-2017, https://doi.org/10.5194/acp-17-5477-2017, 2017
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Radiation is driving weather and climate. Yet, the effect of radiation on clouds is not fully understood and often only poorly represented in models. Better understanding and better parameterizations of the radiation–cloud interaction are therefore essential. Using our newly developed fast
neighboring column approximationfor 3-D thermal heating and cooling rates, we show that thermal radiation changes cloud circulation and causes organization and a deepening of the clouds.
Nir Y. Krakauer, Michael J. Puma, Benjamin I. Cook, Pierre Gentine, and Larissa Nazarenko
Earth Syst. Dynam., 7, 863–876, https://doi.org/10.5194/esd-7-863-2016, https://doi.org/10.5194/esd-7-863-2016, 2016
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We simulated effects of irrigation on climate with the NASA GISS global climate model. Present-day irrigation levels affected air pressures and temperatures even in non-irrigated land and ocean areas. The simulated effect was bigger and more widespread when ocean temperatures in the climate model could change, rather than being fixed. We suggest that expanding irrigation may affect global climate more than previously believed.
Benedikt Gräler, Andrea Petroselli, Salvatore Grimaldi, Bernard De Baets, and Niko Verhoest
Proc. IAHS, 373, 175–178, https://doi.org/10.5194/piahs-373-175-2016, https://doi.org/10.5194/piahs-373-175-2016, 2016
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Many hydrological studies are devoted to the identification of events that are expected to occur on average within a certain time span. While this topic is well established in the univariate case, recent advances focus on a multivariate characterization of events based on copulas. Following a previous study, we show how the definition of the survival Kendall return period fits into the set of multivariate return periods.
D. Michel, C. Jiménez, D. G. Miralles, M. Jung, M. Hirschi, A. Ershadi, B. Martens, M. F. McCabe, J. B. Fisher, Q. Mu, S. I. Seneviratne, E. F. Wood, and D. Fernández-Prieto
Hydrol. Earth Syst. Sci., 20, 803–822, https://doi.org/10.5194/hess-20-803-2016, https://doi.org/10.5194/hess-20-803-2016, 2016
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In this study a common reference input data set from satellite and in situ data is used to run four established evapotranspiration (ET) algorithms using sub-daily and daily input on a tower scale as a testbed for a global ET product. The PT-JPL model and GLEAM provide the best performance for satellite and in situ forcing as well as for the different temporal resolutions. PM-MOD and SEBS perform less well: the PM-MOD model generally underestimates, while SEBS generally overestimates ET.
M. F. McCabe, A. Ershadi, C. Jimenez, D. G. Miralles, D. Michel, and E. F. Wood
Geosci. Model Dev., 9, 283–305, https://doi.org/10.5194/gmd-9-283-2016, https://doi.org/10.5194/gmd-9-283-2016, 2016
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In an effort to develop a global terrestrial evaporation product, four models were forced using both a tower and grid-based data set. Comparisons against flux-tower observations from different biome and land cover types show considerable inter-model variability and sensitivity to forcing type. Results suggest that no single model is able to capture expected flux patterns and response. It is suggested that a multi-model ensemble is likely to provide a more stable long-term flux estimate.
A. I. Stegehuis, R. Vautard, P. Ciais, A. J. Teuling, D. G. Miralles, and M. Wild
Geosci. Model Dev., 8, 2285–2298, https://doi.org/10.5194/gmd-8-2285-2015, https://doi.org/10.5194/gmd-8-2285-2015, 2015
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Many climate models have difficulties in properly reproducing climate extremes such as heat wave conditions. We use a regional climate model with different atmospheric physics schemes to simulate the heat wave events of 2003 in western Europe and 2010 in Russia. The five best-performing and diverse physics scheme combinations may be used in the future to perform heat wave analysis and to investigate the impact of climate change in summer in Europe.
H. Vernieuwe, S. Vandenberghe, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 19, 2685–2699, https://doi.org/10.5194/hess-19-2685-2015, https://doi.org/10.5194/hess-19-2685-2015, 2015
B. R. Lintner, P. Gentine, K. L. Findell, and G. D. Salvucci
Hydrol. Earth Syst. Sci., 19, 2119–2131, https://doi.org/10.5194/hess-19-2119-2015, https://doi.org/10.5194/hess-19-2119-2015, 2015
M. G. De Kauwe, J. Kala, Y.-S. Lin, A. J. Pitman, B. E. Medlyn, R. A. Duursma, G. Abramowitz, Y.-P. Wang, and D. G. Miralles
Geosci. Model Dev., 8, 431–452, https://doi.org/10.5194/gmd-8-431-2015, https://doi.org/10.5194/gmd-8-431-2015, 2015
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Stomatal conductance affects the fluxes of carbon, energy and water between the vegetated land surface and the atmosphere. We test an implementation of an optimal stomatal conductance model within the CABLE land surface model (LSM). The new implementation resulted in a large reduction in the annual fluxes of transpiration across evergreen needleleaf, tundra and C4 grass regions. We conclude that optimisation theory can yield a tractable approach to predicting stomatal conductance in LSMs.
M. J. van den Berg, L. Delobbe, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 18, 5331–5344, https://doi.org/10.5194/hess-18-5331-2014, https://doi.org/10.5194/hess-18-5331-2014, 2014
M. Dessie, N. E. C. Verhoest, V. R. N. Pauwels, T. Admasu, J. Poesen, E. Adgo, J. Deckers, and J. Nyssen
Hydrol. Earth Syst. Sci., 18, 5149–5167, https://doi.org/10.5194/hess-18-5149-2014, https://doi.org/10.5194/hess-18-5149-2014, 2014
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In this study, topography is considered as a proxy for the variability of most of the catchment characteristics. The model study suggests that classifying the catchments into different runoff production areas based on topography and including the impermeable rocky areas separately in the modeling process mimics the rainfall–runoff process in the Upper Blue Nile basin well and yields a useful result for operational management of water resources in this data-scarce region.
B. P. Guillod, B. Orlowsky, D. Miralles, A. J. Teuling, P. D. Blanken, N. Buchmann, P. Ciais, M. Ek, K. L. Findell, P. Gentine, B. R. Lintner, R. L. Scott, B. Van den Hurk, and S. I. Seneviratne
Atmos. Chem. Phys., 14, 8343–8367, https://doi.org/10.5194/acp-14-8343-2014, https://doi.org/10.5194/acp-14-8343-2014, 2014
M. T. Pham, W. J. Vanhaute, S. Vandenberghe, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 17, 5167–5183, https://doi.org/10.5194/hess-17-5167-2013, https://doi.org/10.5194/hess-17-5167-2013, 2013
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
J. Minet, N. E. C. Verhoest, S. Lambot, and M. Vanclooster
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-4063-2013, https://doi.org/10.5194/hessd-10-4063-2013, 2013
Revised manuscript has not been submitted
B. Gräler, M. J. van den Berg, S. Vandenberghe, A. Petroselli, S. Grimaldi, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 17, 1281–1296, https://doi.org/10.5194/hess-17-1281-2013, https://doi.org/10.5194/hess-17-1281-2013, 2013
L. Loosvelt, H. Vernieuwe, V. R. N. Pauwels, B. De Baets, and N. E. C. Verhoest
Hydrol. Earth Syst. Sci., 17, 461–478, https://doi.org/10.5194/hess-17-461-2013, https://doi.org/10.5194/hess-17-461-2013, 2013
Related subject area
Subject: Ecohydrology | Techniques and Approaches: Theory development
Long-term climate-influenced land cover change in discontinuous permafrost peatland complexes
Groundwater fauna in an urban area – natural or affected?
Age and origin of leaf wax n-alkanes in fluvial sediment–paleosol sequences and implications for paleoenvironmental reconstructions
Seasonal partitioning of precipitation between streamflow and evapotranspiration, inferred from end-member splitting analysis
The influence of litter crusts on soil properties and hydrological processes in a sandy ecosystem
Unexplained hydrogen isotope offsets complicate the identification and quantification of tree water sources in a riparian forest
A synthesis of three decades of hydrological research at Scotty Creek, NWT, Canada
Scaling properties reveal regulation of river flows in the Amazon through a “forest reservoir”
Water movement through plant roots – exact solutions of the water flow equation in roots with linear or exponential piecewise hydraulic properties
Large-scale vegetation responses to terrestrial moisture storage changes
Vegetation dynamics and climate seasonality jointly control the interannual catchment water balance in the Loess Plateau under the Budyko framework
Leaf-scale experiments reveal an important omission in the Penman–Monteith equation
The Budyko functions under non-steady-state conditions
Matching the Budyko functions with the complementary evaporation relationship: consequences for the drying power of the air and the Priestley–Taylor coefficient
Hydrological recovery in two large forested watersheds of southeastern China: the importance of watershed properties in determining hydrological responses to reforestation
The socioecohydrology of rainwater harvesting in India: understanding water storage and release dynamics across spatial scales
Nitrate sinks and sources as controls of spatio-temporal water quality dynamics in an agricultural headwater catchment
Impacts of beaver dams on hydrologic and temperature regimes in a mountain stream
Estimation of crop water requirements: extending the one-step approach to dual crop coefficients
Technical Note: On the Matt–Shuttleworth approach to estimate crop water requirements
Horizontal soil water potential heterogeneity: simplifying approaches for crop water dynamics models
Hurricane impacts on a pair of coastal forested watersheds: implications of selective hurricane damage to forest structure and streamflow dynamics
Regional and local patterns in depth to water table, hydrochemistry and peat properties of bogs and their laggs in coastal British Columbia
Impacts of forest changes on hydrology: a case study of large watersheds in the upper reaches of Minjiang River watershed in China
A simple three-dimensional macroscopic root water uptake model based on the hydraulic architecture approach
Training hydrologists to be ecohydrologists and play a leading role in environmental problem solving
Thermodynamic constraints on effective energy and mass transfer and catchment function
Can we predict groundwater discharge from terrestrial ecosystems using existing eco-hydrological concepts?
Macroinvertebrate community responses to a dewatering disturbance gradient in a restored stream
Mechanisms of vegetation uprooting by flow in alluvial non-cohesive sediment
Forest decline caused by high soil water conditions in a permafrost region
Olivia Carpino, Kristine Haynes, Ryan Connon, James Craig, Élise Devoie, and William Quinton
Hydrol. Earth Syst. Sci., 25, 3301–3317, https://doi.org/10.5194/hess-25-3301-2021, https://doi.org/10.5194/hess-25-3301-2021, 2021
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This study demonstrates how climate warming in peatland-dominated regions of discontinuous permafrost is changing the form and function of the landscape. Key insights into the rates and patterns of such changes in the coming decades are provided through careful identification of land cover transitional stages and characterization of the hydrological and energy balance regimes for each stage.
Fabien Koch, Kathrin Menberg, Svenja Schweikert, Cornelia Spengler, Hans Jürgen Hahn, and Philipp Blum
Hydrol. Earth Syst. Sci., 25, 3053–3070, https://doi.org/10.5194/hess-25-3053-2021, https://doi.org/10.5194/hess-25-3053-2021, 2021
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In this study, we address the question of whether groundwater fauna in an urban area is natural or affected in comparison to forested land. We find noticeable differences in the spatial distribution of groundwater species and abiotic parameters. An ecological assessment reveals that conditions in the urban area are mainly not good. Yet, there is no clear spatial pattern in terms of land use and anthropogenic impacts. These are significant findings for conservation and usage of urban groundwater.
Marcel Bliedtner, Hans von Suchodoletz, Imke Schäfer, Caroline Welte, Gary Salazar, Sönke Szidat, Mischa Haas, Nathalie Dubois, and Roland Zech
Hydrol. Earth Syst. Sci., 24, 2105–2120, https://doi.org/10.5194/hess-24-2105-2020, https://doi.org/10.5194/hess-24-2105-2020, 2020
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This study investigates the age and origin of leaf wax n-alkanes from a fluvial sediment–paleosol sequence (FSPS) by compound-class 14C dating. Our results show varying age offsets between the formation and sedimentation of leaf wax n-alkanes from well-developed (paleo)soils and fluvial sediments that are mostly due to their complex origin in such sequences. Thus, dating the leaf wax n-alkanes is an important step for more robust leaf-wax-based paleoenvironmental reconstructions in FSPSs.
James W. Kirchner and Scott T. Allen
Hydrol. Earth Syst. Sci., 24, 17–39, https://doi.org/10.5194/hess-24-17-2020, https://doi.org/10.5194/hess-24-17-2020, 2020
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Perhaps the oldest question in hydrology is
Where does water go when it rains?. Here we present a new way to measure how the terrestrial water cycle partitions precipitation into its two ultimate fates:
green waterthat is evaporated or transpired back to the atmosphere and
blue waterthat is discharged to stream channels. Our analysis may help in gauging the vulnerability of both water resources and terrestrial ecosystems to changes in rainfall patterns.
Yu Liu, Zeng Cui, Ze Huang, Hai-Tao Miao, and Gao-Lin Wu
Hydrol. Earth Syst. Sci., 23, 2481–2490, https://doi.org/10.5194/hess-23-2481-2019, https://doi.org/10.5194/hess-23-2481-2019, 2019
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We focus on the positive effects of litter crusts on soil water holding capacity and water interception capacity compared with biocrusts. Litter crusts can significantly improve sandy water content and organic matter. Water-holding capacity increased with development of litter crusts in the sandy interface. Water infiltration rate is increased by sandy and litter crusts' interface properties. Litter crusts provided a better microhabitat conducive to plant growth in sandy lands.
Adrià Barbeta, Sam P. Jones, Laura Clavé, Lisa Wingate, Teresa E. Gimeno, Bastien Fréjaville, Steve Wohl, and Jérôme Ogée
Hydrol. Earth Syst. Sci., 23, 2129–2146, https://doi.org/10.5194/hess-23-2129-2019, https://doi.org/10.5194/hess-23-2129-2019, 2019
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Plant water sources of a beech riparian forest were monitored using stable isotopes. Isotopic fractionation during root water uptake is usually neglected but may be more common than previously accepted. Xylem water was always more depleted in δ2H than all sources considered, suggesting isotopic discrimination during water uptake or within plant tissues. Thus, the identification and quantification of tree water sources was affected. Still, oxygen isotopes were a good tracer of plant source water.
William Quinton, Aaron Berg, Michael Braverman, Olivia Carpino, Laura Chasmer, Ryan Connon, James Craig, Élise Devoie, Masaki Hayashi, Kristine Haynes, David Olefeldt, Alain Pietroniro, Fereidoun Rezanezhad, Robert Schincariol, and Oliver Sonnentag
Hydrol. Earth Syst. Sci., 23, 2015–2039, https://doi.org/10.5194/hess-23-2015-2019, https://doi.org/10.5194/hess-23-2015-2019, 2019
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This paper synthesizes nearly three decades of eco-hydrological field and modelling studies at Scotty Creek, Northwest Territories, Canada, highlighting the key insights into the major water flux and storage processes operating within and between the major land cover types of this wetland-dominated region of discontinuous permafrost. It also examines the rate and pattern of permafrost-thaw-induced land cover change and how such changes will affect the hydrology and water resources of the region.
Juan Fernando Salazar, Juan Camilo Villegas, Angela María Rendón, Estiven Rodríguez, Isabel Hoyos, Daniel Mercado-Bettín, and Germán Poveda
Hydrol. Earth Syst. Sci., 22, 1735–1748, https://doi.org/10.5194/hess-22-1735-2018, https://doi.org/10.5194/hess-22-1735-2018, 2018
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River flow regimes are being altered by global change. Understanding the mechanisms behind such alterations is crucial for hydrological prediction. We introduce a novel interpretation of river flow metrics (scaling) that allows any river basin to be classified as regulated or unregulated, and to identify transitions between these states. We propose the
forest reservoirhypothesis to explain how forest loss can force the Amazonian river basins from regulated to unregulated states.
Félicien Meunier, Valentin Couvreur, Xavier Draye, Mohsen Zarebanadkouki, Jan Vanderborght, and Mathieu Javaux
Hydrol. Earth Syst. Sci., 21, 6519–6540, https://doi.org/10.5194/hess-21-6519-2017, https://doi.org/10.5194/hess-21-6519-2017, 2017
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To maintain its yield, a plant needs to transpire water that it acquires from the soil. A deep understanding of the mechanisms that lead to water uptake location and intensity is required to correctly simulate the water transfer in the soil to the atmosphere. This work presents novel and general solutions of the water flow equation in roots with varying hydraulic properties that deeply affect the uptake pattern and the transpiration rate and can be used in ecohydrological models.
Robert L. Andrew, Huade Guan, and Okke Batelaan
Hydrol. Earth Syst. Sci., 21, 4469–4478, https://doi.org/10.5194/hess-21-4469-2017, https://doi.org/10.5194/hess-21-4469-2017, 2017
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In this study we statistically analyse the relationship between vegetation cover and components of total water storage. Splitting water storage into different components allows for a more comprehensive understanding of the temporal response of vegetation to changes in water storage. Generally, vegetation appears to be more sensitive to interannual changes in water storage than to shorter changes, though this varies in different land use types.
Tingting Ning, Zhi Li, and Wenzhao Liu
Hydrol. Earth Syst. Sci., 21, 1515–1526, https://doi.org/10.5194/hess-21-1515-2017, https://doi.org/10.5194/hess-21-1515-2017, 2017
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The relationship between controlling parameters of annual catchment water balance and climate seasonality (S) and vegetation coverage (M) was discussed under the Budyko framework and an empirical equation was further developed so that the contributions from M to actual evapotranspiration (ET) could be determined more accurately. The results showed that the effects of landscape condition changes to ET variation will be estimated with a large error if the impacts of S are ignored.
Stanislaus J. Schymanski and Dani Or
Hydrol. Earth Syst. Sci., 21, 685–706, https://doi.org/10.5194/hess-21-685-2017, https://doi.org/10.5194/hess-21-685-2017, 2017
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Most of the rain falling on land is returned to the atmosphere by plant leaves, which release water vapour (transpire) through tiny pores. To better understand this process, we used artificial leaves in a special wind tunnel and discovered major problems with an established approach (PM equation) widely used to quantify transpiration and its sensitivity to climate change. We present an improved set of equations, consistent with experiments and displaying more realistic climate sensitivity.
Roger Moussa and Jean-Paul Lhomme
Hydrol. Earth Syst. Sci., 20, 4867–4879, https://doi.org/10.5194/hess-20-4867-2016, https://doi.org/10.5194/hess-20-4867-2016, 2016
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A new physically based formulation is proposed to extend the Budyko framework under non-steady-state conditions, taking into account the change in water storage. The new formulation, which introduces an additional parameter, represents a generic framework applicable to any Budyko function at various time steps. It is compared to other formulations from the literature and the analytical solution of Greve et al. (2016) appears to be a particular case.
Jean-Paul Lhomme and Roger Moussa
Hydrol. Earth Syst. Sci., 20, 4857–4865, https://doi.org/10.5194/hess-20-4857-2016, https://doi.org/10.5194/hess-20-4857-2016, 2016
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The Budyko functions are matched with the complementary evaporation relationship. We show that there is a functional dependence between the Budyko functions and the drying power of the air. Examining the case where potential evaporation is calculated by means of a Priestley–Taylor type equation with a varying coefficient, we show that this coefficient should have a specified value as a function of the Budyko shape parameter and the aridity index.
Wenfei Liu, Xiaohua Wei, Qiang Li, Houbao Fan, Honglang Duan, Jianping Wu, Krysta Giles-Hansen, and Hao Zhang
Hydrol. Earth Syst. Sci., 20, 4747–4756, https://doi.org/10.5194/hess-20-4747-2016, https://doi.org/10.5194/hess-20-4747-2016, 2016
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In recent decades, limited research has been conducted to examine the role of watershed properties in hydrological responses in large watersheds. Based on pair-wise comparisons, we conclude that reforestation decreased high flows but increased low flows in the watersheds studied. Hydrological recovery through reforestation is largely dependent on watershed properties when forest change and climate are similar and comparable. This finding has important implications for designing reforestation.
Kimberly J. Van Meter, Michael Steiff, Daniel L. McLaughlin, and Nandita B. Basu
Hydrol. Earth Syst. Sci., 20, 2629–2647, https://doi.org/10.5194/hess-20-2629-2016, https://doi.org/10.5194/hess-20-2629-2016, 2016
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Although village-scale rainwater harvesting (RWH) structures have been used for millennia in India, many of these structures have fallen into disrepair due to increased dependence on groundwater. This dependence has contributed to declines in groundwater resources, and in turn to efforts to revive older RWH systems. In the present study, we use field data to quantify water fluxes in a cascade of irrigation tanks to better our understanding of the impact of RWH systems on the water balance in con
Tobias Schuetz, Chantal Gascuel-Odoux, Patrick Durand, and Markus Weiler
Hydrol. Earth Syst. Sci., 20, 843–857, https://doi.org/10.5194/hess-20-843-2016, https://doi.org/10.5194/hess-20-843-2016, 2016
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We quantify the spatio-temporal impact of distinct nitrate sinks and sources on stream network nitrate dynamics in an agricultural headwater. By applying a data-driven modelling approach, we are able to fully distinguish between mixing and dilution processes, and biogeochemical in-stream removal processes along the stream network. In-stream nitrate removal is estimated by applying a novel transfer coefficient based on energy availability.
M. Majerova, B. T. Neilson, N. M. Schmadel, J. M. Wheaton, and C. J. Snow
Hydrol. Earth Syst. Sci., 19, 3541–3556, https://doi.org/10.5194/hess-19-3541-2015, https://doi.org/10.5194/hess-19-3541-2015, 2015
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This study quantifies the impacts of beaver on hydrologic and temperature regimes, as well as highlights the importance of understanding the spatial and temporal scales of those impacts.
Reach-scale discharge showed shift from losing to gaining. Temperature increased by 0.38°C (3.8%) and mean residence time by 230%. At the sub-reach scale, discharge gains and losses increased in variability. At the beaver dam scale, we observed increase in thermal heterogeneity with warmer and cooler niches.
J. P. Lhomme, N. Boudhina, M. M. Masmoudi, and A. Chehbouni
Hydrol. Earth Syst. Sci., 19, 3287–3299, https://doi.org/10.5194/hess-19-3287-2015, https://doi.org/10.5194/hess-19-3287-2015, 2015
J. P. Lhomme, N. Boudhina, and M. M. Masmoudi
Hydrol. Earth Syst. Sci., 18, 4341–4348, https://doi.org/10.5194/hess-18-4341-2014, https://doi.org/10.5194/hess-18-4341-2014, 2014
V. Couvreur, J. Vanderborght, L. Beff, and M. Javaux
Hydrol. Earth Syst. Sci., 18, 1723–1743, https://doi.org/10.5194/hess-18-1723-2014, https://doi.org/10.5194/hess-18-1723-2014, 2014
A. D. Jayakaran, T. M. Williams, H. Ssegane, D. M. Amatya, B. Song, and C. C. Trettin
Hydrol. Earth Syst. Sci., 18, 1151–1164, https://doi.org/10.5194/hess-18-1151-2014, https://doi.org/10.5194/hess-18-1151-2014, 2014
S. A. Howie and H. J. van Meerveld
Hydrol. Earth Syst. Sci., 17, 3421–3435, https://doi.org/10.5194/hess-17-3421-2013, https://doi.org/10.5194/hess-17-3421-2013, 2013
X. Cui, S. Liu, and X. Wei
Hydrol. Earth Syst. Sci., 16, 4279–4290, https://doi.org/10.5194/hess-16-4279-2012, https://doi.org/10.5194/hess-16-4279-2012, 2012
V. Couvreur, J. Vanderborght, and M. Javaux
Hydrol. Earth Syst. Sci., 16, 2957–2971, https://doi.org/10.5194/hess-16-2957-2012, https://doi.org/10.5194/hess-16-2957-2012, 2012
M. E. McClain, L. Chícharo, N. Fohrer, M. Gaviño Novillo, W. Windhorst, and M. Zalewski
Hydrol. Earth Syst. Sci., 16, 1685–1696, https://doi.org/10.5194/hess-16-1685-2012, https://doi.org/10.5194/hess-16-1685-2012, 2012
C. Rasmussen
Hydrol. Earth Syst. Sci., 16, 725–739, https://doi.org/10.5194/hess-16-725-2012, https://doi.org/10.5194/hess-16-725-2012, 2012
A. P. O'Grady, J. L. Carter, and J. Bruce
Hydrol. Earth Syst. Sci., 15, 3731–3739, https://doi.org/10.5194/hess-15-3731-2011, https://doi.org/10.5194/hess-15-3731-2011, 2011
J. D. Muehlbauer, M. W. Doyle, and E. S. Bernhardt
Hydrol. Earth Syst. Sci., 15, 1771–1783, https://doi.org/10.5194/hess-15-1771-2011, https://doi.org/10.5194/hess-15-1771-2011, 2011
K. Edmaier, P. Burlando, and P. Perona
Hydrol. Earth Syst. Sci., 15, 1615–1627, https://doi.org/10.5194/hess-15-1615-2011, https://doi.org/10.5194/hess-15-1615-2011, 2011
H. Iwasaki, H. Saito, K. Kuwao, T. C. Maximov, and S. Hasegawa
Hydrol. Earth Syst. Sci., 14, 301–307, https://doi.org/10.5194/hess-14-301-2010, https://doi.org/10.5194/hess-14-301-2010, 2010
Cited articles
Abtew, W.: Evapotranspiration measurements and modelling for three wetland
systems in South Florida, J. Am. Water Resour. Assoc., 32, 465–473,
https://doi.org/10.1111/j.1752-1688.1996.tb04044.x, 1996.
Agam, N., Kustas, W. P., Anderson, M. C., Norman, J. M., Colaizzi, P. D., Howell,
T. A., Prueger, J. H., Meyers, T. P., and Wilson, T. B.: Application of the
Priestley–Taylor Approach in a Two-Source Surface Energy Balance Model, J.
Hydrometeorol., 11, 185–198, https://doi.org/10.1175/2009jhm1124.1, 2010.
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop Evapotranspiration – guidelines
for computing crop water requirements, FAO Irrigation and Drainage Paper No. 56,
Food and Agriculture Organization of the United Nations (FAO), Rome, Italy, 1998.
Aminzadeh, M., Roderick, M. L., and Or, D.: A generalized complementary
relationship between actual and potential evaporation defined by a reference
surface temperature, Water Resour. Res., 52, 385–406, https://doi.org/10.1002/2015WR017969, 2016.
Anderson, M. C., Norman, J. M., Diak, G. R., Kustas, W. P., and Mecikalski, J.
R.: A two-source time-integrated model for estimating surface fluxes using
thermal infrared remote sensing, Remote Sens.f Environ., 60, 195–216, 1997.
Bai, P., Liu, X. M., Yang, T. T., Li, F. D., Liang, K., Hu, S. S., and Liu, C.
M.: Assessment of the influences of different potential evapotranspiration
inputs on the performance of monthly hydrological models under different
climatic conditions, J. Hydrometeorol., 17, 2259–2274, https://doi.org/10.1175/jhm-d-15-0202.1, 2016.
Ball, J. T., Woodrow, I. E., and Berry, J. A.: A model predicting stomatal
conductance and its contribution to the control of photosynthesis under
different environmental conditions, in: Progress in photosynthesis research:
Volume 4 proceedings of the VIIth international congress on photosynthesis
providence, 10–15 August 1986, Rhode Island, USA, edited by: Biggins, J.,
Springer Netherlands, Dordrecht, 221–224, 1987.
Barton, I. J.: A parameterization of the evaporation from nonsaturated surfaces,
J. Appl. Metereol., 18, 43–47, 1979.
Bautista, F., Baustista, D., and Delgado-Carranza, C.: Calibration of the
equations of Hargreaves and Thornthwaite to estimate the potential
evapotranspiration in semi-arid and subhumid tropical climates for regional
applications, Atmósfera, 22, 331–348, 2009.
Bouchet, R. J.: Evapotranspiration réelle, évapotranspiration potentielle
et production agricole, L'eau et la production végétale, INRA, Paris, 1964.
Brutsaert, W.: Evaporation into the atmosphere. Theory, history and applications,
D. Reidel Publishing Company, Dordrecht, 299 pp., 1982.
Brutsaert, W. and Stricker, H.: An advection-aridity approach to estimate actual
regional evapotranspiration, Water Resour. Res., 15, 443–450, https://doi.org/10.1029/WR015i002p00443, 1979.
Camargo, A. P., R., M. F., Sentelhas, P. C., and Picini, A. G.: Adjust of the
Thornthwaite's method to estimate the potential evapotranspiration for arid and
superhumid climates, based on daily temperature amplitude, Revista Brasileira
de Agrometeorologia, 7, 251–257, 1999.
Castellvi, F., Stockle, C., Perez, P., and Ibanez, M.: Comparison of methods
for applying the Priestley–Taylor equation at a regional scale, Hydrol.
Process., 15, 1609–1620, 2001.
Chan, F. C., Arain, M. A., Khomik, M., Brodeur, J. J., Peichl, M., Restrepo-Coupe,
N., Thorne, R., Beamesderfer, E., McKenzie, S., and Xu, B.: Carbon, water and
energy exchange dynamics of a young pine plantation forest during the initial
fourteen years of growth, Forest Ecol. Manage., 410, 12–26, 2018.
Chen, D., Gao, G., Xu, C.-Y., Guo, J., and Ren, G.: Comparison of the Thornthwaite
method and pan data with the standard Penman–Monteith estimates of reference
evapotranspiration in China, Clim. Res., 28, 123–132, 2005.
Crago, R. and Crowley, R.: Complementary relationships for near-instantaneous
evaporation, J. Hydrol., 300, 199–211, https://doi.org/10.1016/j.jhydrol.2004.06.002, 2005.
Dai, A.: Drought under global warming: a review, Wiley Interdisciplin. Rev.:
Clim. Change, 2, 45–65, https://doi.org/10.1002/wcc.81, 2011.
Dolman, A. J., Miralles, D. G., and de Jeu, R. A. M.: Fifty years since
Monteith's 1965 seminal paper: the emergence of global ecohydrology, Ecohydrology,
7, 897–902, https://doi.org/10.1002/eco.1505, 2014.
Donohue, R. J., McVicar, T. R., and Roderick, M. L.: Assessing the ability of
potential evaporation formulations to capture the dynamics in evaporative demand
within a changing climate, J. Hydrol., 386, 186–197, https://doi.org/10.1016/j.jhydrol.2010.03.020, 2010.
Douglas, E. M., Jacobs, J. M., Sumner, D. M., and Ray, R. L.: A comparison of
models for estimating potential evapotranspiration for Florida land cover types,
J. Hydrol., 373, 366–376, https://doi.org/10.1016/j.jhydrol.2009.04.029, 2009.
Eaton, A. K., Rouse, W. R., Lafleur, P. M., Marsh, P., and Blanken, P. D.:
Surface energy balance of the Western and Central Canadian Subarctic: variations
in the energy balance among five major terrain types, J. Climate, 14, 3692–3703,
https://doi.org/10.1175/1520-0442(2001)014<3692:SEBOTW>2.0.CO;2, 2001.
Eltahir, E. A.: A soil moisture–rainfall feedback mechanism: 1. Theory and
observations, Water Resour. Res., 34, 765–776, 1998.
Field, C. B., Jackson, R. B., and Mooney, H. A.: Stomatal responses to increased
CO2 – Implications from the plant to the global scale, Plant Cell
Environ., 18, 1214–1225, 1995.
Fisher, J. B., Tu, K. P., and Baldocchi, D. D.: Global estimates of the
land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated
at 16 FLUXNET sites, Remote Sens. Environ., 112, 901–919, https://doi.org/10.1016/j.rse.2007.06.025, 2008.
Fisher, J. B., Whittaker, R. J., and Malhi, Y.: ET come home: potential
evapotranspiration in geographical ecology, Global Ecol. Biogeogr., 20, 1–18,
https://doi.org/10.1111/j.1466-8238.2010.00578.x, 2011.
FLUXNET: FLUXNET2015 Dataset, available at: http://fluxnet.fluxdata.org/data/fluxnet2015-dataset/
(last access: 14 February 2019), 2016.
Garratt, J. R.: The atmospheric boundary layer, Cambridge University Press,
Cambridge, New York, 1992.
Gentine, P., Entekhabi, D., and Polcher, J.: The diurnal behavior of evaporative
fraction in the soil–vegetation–atmospheric boundary layer continuum, J.
Hydrometeorol., 12, 1530–1546, https://doi.org/10.1175/2011JHM1261.1, 2011a.
Gentine, P., Polcher, J., and Entekhabi, D.: Harmonic propagation of variability
in surface energy balance within a coupled soil–vegetation–atmosphere system,
Water Resour. Res., 47, W05525, https://doi.org/10.1029/2010WR009268, 2011b.
Granger, R. J.: A complementary relationship approach for evaporation from
nonsaturated surfaces, J. Hydrol., 111, 31–38, https://doi.org/10.1016/0022-1694(89)90250-3, 1989.
Granier, A., Biron, P., and Lemoine, D.: Water balance, transpiration and
canopy conductance in two beech stands, Agr. Forest Meteorol., 100, 291–308, 2000.
Guo, D., Westra, S., and Maier, H. R.: Sensitivity of potential evapotranspiration
to changes in climate variables for different Australian climatic zones, Hydrol.
Earth Syst. Sci., 21, 2107–2126, https://doi.org/10.5194/hess-21-2107-2017, 2017.
Hargreaves, G. H. and Samani, Z.: Reference crop evapotranspiration from
temperature, Appl. Eng. Agricult., 1, 96–99, https://doi.org/10.13031/2013.26773, 1985.
Jacobs, J. M., Anderson, M. C., Friess, L. C., and Diak, G. R.: Solar radiation,
longwave radiation and emergent wetland evapotranspiration estimates from
satellite data in Florida, USA, Hydrolog. Sci. J., 49, 476, https://doi.org/10.1623/hysj.49.3.461.54352, 2004.
Jarvis, P. G.: Interpretation of variations in leaf water potential and stomatal
conductance found in canopies in field, Philos. T. Roy. Soc. Lond. B, 273, 593–610, 1976.
Jones, H. G.: Plants and microclimate. A quantitative approach to environmental
plant physiology, 2nd Edn., Cambridge University Press, Cambridge, UK, 1992.
Kahler, D. M. and Brutsaert, W.: Complementary relationship between daily
evaporation in the environment and pan evaporation, Water Resour. Res., 42,
W05413, https://doi.org/10.1029/2005WR004541, 2006.
Katerji, N. and Rana, G.: Crop reference evapotranspiration: a discussion of
the concept, analysis of the process and validation, Water Resour. Manage., 25,
1581–1600, https://doi.org/10.1007/s11269-010-9762-1, 2011.
Kay, A. L. and Davies, H. N.: Calculating potential evaporation from climate
model data: A source of uncertainty for hydrological climate change impacts,
J. Hydrol., 358, 221–239, https://doi.org/10.1016/j.jhydrol.2008.06.005, 2008.
Komatsu, H.: Forest categorization according to dry-canopy evaporation rates in
the growing season: comparison of the Priestley–Taylor coefficient values from
various observation sites, Hydrol. Process., 19, 3873–3896, https://doi.org/10.1002/hyp.5987, 2005.
Leuning, R.: A critical appraisal of a combined stomatal-photosynthesis model
for C3 plants, Plant Cell Environ., 18, 339–355, https://doi.org/10.1111/j.1365-3040.1995.tb00370.x, 1995.
Lhomme, J.-P.: Towards a rational definition of potential evaporation, Hydrol.
Earth Syst. Sci., 1, 257–264, https://doi.org/10.5194/hess-1-257-1997, 1997.
Lhomme, J. P. and Guilioni, L.: Comments on some articles about the complementary
relationship, J. Hydrol., 323, 1–3, https://doi.org/10.1016/j.jhydrol.2005.08.014, 2006.
Li, D., Rigden, A., Salvucci, G., and Liu, H.: Reconciling the Reynolds number
dependence of scalar roughness length and laminar resistance, Geophys. Res.
Lett., 44, 3193–3200, https://doi.org/10.1002/2017GL072864, 2017.
Lofgren, B. M., Hunter, T. S., and Wilbarger, J.: Effects of using air
temperature as a proxy for potential evapotranspiration in climate change
scenarios of Great Lakes basin hydrology, J. Great Lakes Res., 37, 744–752,
https://doi.org/10.1016/j.jglr.2011.09.006, 2011.
Maes, W. H. and Steppe, K.: Estimating evapotranspiration and drought stress
with ground-based thermal remote sensing in agriculture: a review, J. Exp. Bot.,
63, 4671–4712, 2012.
Maes, W. H., Pashuysen, T., Trabucco, A., Veroustraete, F., and Muys, B.: Does
energy dissipation increase with ecosystem succession? Testing the ecosystem
exergy theory combining theoretical simulations and thermal remote sensing
observations, Ecol. Model., 23–24, 3917–3941, 2011.
Martens, B., Miralles, D. G., Lievens, H., van der Schalie, R., de Jeu, R. A.
M., Fernández-Prieto, D., Beck, H. E., Dorigo, W. A., and Verhoest, N. E.
C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture,
Geosci. Model Dev., 10, 1903–1925, https://doi.org/10.5194/gmd-10-1903-2017, 2017.
Martínez-Vilalta, J., Poyatos, R., Aguadé, D., Retana, J., and
Mencuccini, M.: A new look at water transport regulation in plants, New Phytol.,
204, 105–115, https://doi.org/10.1111/nph.12912, 2014.
McMahon, T. A., Peel, M. C., Lowe, L., Srikanthan, R., and McVicar, T. R.:
Estimating actual, potential, reference crop and pan evaporation using standard
meteorological data: a pragmatic synthesis, Hydrol. Earth Syst. Sci., 17,
1331–1363, https://doi.org/10.5194/hess-17-1331-2013, 2013.
McVicar, T. R., Van Niel, T. G., Li, L. T., Roderick, M. L., Rayner, D. P.,
Ricciardulli, L., and Donohue, R. J.: Wind speed climatology and trends for
Australia, 1975–2006: Capturing the stilling phenomenon and comparison with
near-surface reanalysis output, Geophys. Res. Lett., 35, L20403, https://doi.org/10.1029/2008gl035627, 2008.
McVicar, T. R., Roderick, M. L., Donohue, R. J., Li, L. T., Van Niel, T. G.,
Thomas, A., Grieser, J., Jhajharia, D., Himri, Y., Mahowald, N. M., Mescherskaya,
A. V., Kruger, A. C., Rehman, S., and Dinpashoh, Y.: Global review and synthesis
of trends in observed terrestrial near-surface wind speeds: Implications for
evaporation, J. Hydrol., 416, 182–205, https://doi.org/10.1016/j.jhydrol.2011.10.024, 2012.
Michel, D., Jiménez, C., Miralles, D. G., Jung, M., Hirschi, M., Ershadi,
A., Martens, B., McCabe, M. F., Fisher, J. B., Mu, Q., Seneviratne, S. I.,
Wood, E. F., and Fernández-Prieto, D.: The WACMOS-ET project – Part 1:
Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms,
Hydrol. Earth Syst. Sci., 20, 803–822, https://doi.org/10.5194/hess-20-803-2016, 2016.
Milly, P. C. D. and Dunne, K. A.: Potential evapotranspiration and continental
drying, Nat. Clim. Change, 6, 946–949, https://doi.org/10.1038/nclimate3046, 2016.
Miralles, D. G., Holmes, T. R. H., De Jeu, R. A. M., Gash, J. H., Meesters,
A. G. C. A., and Dolman, A. J.: Global land-surface evaporation estimated from
satellite-based observations, Hydrol. Earth Syst. Sci., 15, 453–469,
https://doi.org/10.5194/hess-15-453-2011, 2011.
Mizutani, K., Yamanoi, K., Ikeda, T., and Watanabe, T.: Applicability of the
eddy correlation method to measure sensible heat transfer to forest under
rainfall conditions, Agr. Forest Meteorol., 86, 193–203, https://doi.org/10.1016/S0168-1923(97)00012-9, 1997.
Monteith, J. L.: Evaporation and environment, Symp. Soc. Exp. Biol., 19, 205–234, 1965.
Morton, F. I.: Operational estimates of areal evapotranspiration and their
significance to the science and practice of hydrology, J. Hydrol., 66, 1–76,
https://doi.org/10.1016/0022-1694(83)90177-4, 1983.
Mu, Q., 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, https://doi.org/10.1016/j.rse.2007.04.015, 2007.
Norman, J. M., Kustas, W. P., and Humes, K. S.: Source approach for estimating
soil and vegetation energy fluxes in observations of directional radiometric
surface temperature, Agr. Forest Meteorol., 77, 263–293, 1995.
Novick, K. A., Ficklin, D. L., Stoy, P. C., Williams, C. A., Bohrer, G., Oishi,
A. C., Papuga, S. A., Blanken, P. D., Noormets, A., Sulman, B. N., Scott, R. L.,
Wang, L., and Phillips, R. P.: The increasing importance of atmospheric demand
for ecosystem water and carbon fluxes, Nat. Clim. Change, 6, 1023–1027,
https://doi.org/10.1038/nclimate3114, 2016.
Oudin, L., Hervieu, F., Michel, C., Perrin, C., Andréassian, V., Anctil,
F., and Loumagne, C.: Which potential evapotranspiration input for a lumped
rainfall–runoff model: Part 2 – Towards a simple and efficient potential
evapotranspiration model for rainfall–runoff modelling, J. Hydrol., 303,
290–306, https://doi.org/10.1016/j.jhydrol.2004.08.026, 2005a.
Oudin, L., Michel, C., and Anctil, F.: Which potential evapotranspiration input
for a lumped rainfall–runoff model: Part 1 – Can rainfall–runoff models
effectively handle detailed potential evapotranspiration inputs?, J. Hydrol.,
303, 275–289, https://doi.org/10.1016/j.jhydrol.2004.08.025, 2005b.
Palmer, C., Fisher, J. B., Mallick, K., and Lee, J.: The Potential of Potential
Evapotranspiration, Fall Meeting, 3–7 December 2012, American Geophysical
Union, San Francisco, 2012.
Penman, H. L.: Natural evaporation from open water, bare soil and grass, P. Roy.
Soc. Lond. A, 193, 120–145, https://doi.org/10.1098/rspa.1948.0037, 1948.
Penman, H. L.: Vegetation and Hydrology, in: Soil Science, Vol. 96, 357, 1963.
Pennypacker, S. and Baldocchi, D.: Seeing the Fields and Forests: Application
of Surface-Layer Theory and Flux-Tower Data to Calculating Vegetation Canopy
Height, Bound.-Lay. Meteorol., 158, 165–182, https://doi.org/10.1007/s10546-015-0090-0, 2016.
Pereira, A. R. and Pruitt, W. O.: Adaptation of the Thornthwaite scheme for
estimating daily reference evapotranspiration, Agr. Water Manage., 66, 251–257,
https://doi.org/10.1016/j.agwat.2003.11.003, 2004.
Pettijohn, J. C. and Salvucci, G. D.: A new two-dimensional physical basis for
the complementary relation between terrestrial and pan evaporation, J.
Hydrometeorol., 10, 565–574, https://doi.org/10.1175/2008jhm1026.1, 2009.
Powell, T. L., Galbraith, D. R., Christoffersen, B. O., Harper, A., Imbuzeiro,
H. M. A., Rowland, L., Almeida, S., Brando, P. M., da Costa, A. C. L., Costa,
M. H., Levine, N. M., Malhi, Y., Saleska, S. R., Sotta, E., Williams, M., Meir,
P., and Moorcroft, P. R.: Confronting model predictions of carbon fluxes with
measurements of Amazon forests subjected to experimental drought, New Phytol.,
200, 350–365, https://doi.org/10.1111/nph.12390, 2013.
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.
Rigden, A. J. and Salvucci, G. D.: Evapotranspiration based on equilibrated
relative humidity (ETRHEQ): Evaluation over the continental US, Water Resour.
Res., 51, 2951–2973, https://doi.org/10.1002/2014wr016072, 2015.
Rind, D., Goldberg, R., Hansen, J., Rosenzweig, C., and Ruedy, R.: Potential
evapotranspiration and the likelihood of future drought, J. Geophys. Res.-Atmos.,
95, 9983–10004, https://doi.org/10.1029/JD095iD07p09983, 1990.
Roerink, G. J., Su, Z., and Menenti, M.: S-SEBI: a simple remote sensing
algorithm to estimate the surface energy balance, Phys. Chem. Earth Pt. B,
25, 147–157, 2000.
Scheff, J. and Frierson, D. M. W.: Scaling potential evapotranspiration with
greenhouse warming, J. Climate, 27, 1539–1558, https://doi.org/10.1175/JCLI-D-13-00233.1, 2013.
Schellekens, J., Dutra, E., Martinez-de la Torre, A., Balsamo, G., van Dijk,
A., Weiland, F. S., Minvielle, M., Calvet, J. C., Decharme, B., Eisner, S.,
Fink, G., Florke, M., Pessenteiner, S., van Beek, R., Polcher, J., Beck, H.,
Orth, R., Calton, B., Burke, S., Dorigo, W., and Weedon, G. P.: A global water
resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset,
Earth Syst. Sci. Data, 9, 389–413, https://doi.org/10.5194/essd-9-389-2017, 2017.
Seiller, G. and Anctil, F.: How do potential evapotranspiration formulas
influence hydrological projections?, Hydrolog. Sci. J. – J. Sci. Hydrol., 61,
2249–2266, https://doi.org/10.1080/02626667.2015.1100302, 2016.
Sentelhas, P. C., Gillespie, T. J., and Santos, E. A.: Evaluation of FAO
Penman–Monteith and alternative methods for estimating reference
evapotranspiration with missing data in Southern Ontario, Canada, Agr. Water
Manage., 97, 635–644, https://doi.org/10.1016/j.agwat.2009.12.001, 2010.
Sheffield, J., Wood, E. F., and Roderick, M. L.: Little change in global drought
over the past 60 years, Nature, 491, 435–438, https://doi.org/10.1038/nature11575, 2012.
Shuttleworth, W. J.: Evaporation, in: Handbook of Hydrology, chap. 4, edited by:
Maidment, D. R., McGraw-Hill, New York, USA, 4.1–4.53, 1993.
Shuttleworth, W. J. and Calder, I. R.: Has the Priestley-Taylor equation any
relevance to forest evaporation?, J. Appl. Meteorol., 18, 639–646,
https://doi.org/10.1175/1520-0450(1979)018<0639:htptea>2.0.co;2, 1979.
Singh, V. P. and Xu, C. Y.: Sensitivity of mass transfer-based evaporation
equations to errors in daily and monthly input data, Hydrol. Process., 11,
1465–1473, https://doi.org/10.1002/(SICI)1099-1085(199709)11:11<1465::AID-HYP452>3.0.CO;2-X, 1997.
Slatyer, R. and McIlroy, I.: Practical micrometeorology, CSIRO, Canberra, Australia, 1961.
Song, Q. H., Braeckevelt, E., Zhang, Y. P., Sha, L. Q., Zhou, W. J., Liu, Y.
T., Wu, C. S., Lu, Z. Y., and Klemm, O.: Evapotranspiration from a primary
subtropical evergreen forest in Southwest China, Ecohydrology, 10, e1826,
https://doi.org/10.1002/eco.1826, 2017.
Sumner, D. M. and Jacobs, J. M.: Utility of Penman–Monteith, Priestley–Taylor,
reference evapotranspiration, and pan evaporation methods to estimate pasture
evapotranspiration, J. Hydrol., 308, 81–104, https://doi.org/10.1016/j.jhydrol.2004.10.023, 2005.
Teuling, A. J. and Seneviratne, S. I.: Contrasting spectral changes limit albedo
impact on land-atmosphere coupling during the 2003 European heat wave, Geophys.
Res. Lett., 35, L03401, https://doi.org/10.1029/2007GL032778, 2008.
Thornthwaite, C. W.: An approach toward a rational classification of climate,
Geogr. Rev., 38, 55–94, https://doi.org/10.2307/210739, 1948.
Vautard, R., Cattiaux, J., Yiou, P., Thepaut, J. N., and Ciais, P.: Northern
Hemisphere atmospheric stilling partly attributed to an increase in surface
roughness, Nat. Geosci., 3, 756–761, https://doi.org/10.1038/ngeo979, 2010.
Vicente-Serrano, S. M., Gouveia, C., Camarero, J. J., Beguería, S., Trigo,
R., López-Moreno, J. I., Azorín-Molina, C., Pasho, E., Lorenzo-Lacruz,
J., Revuelto, J., Morán-Tejeda, E., and Sanchez-Lorenzo, A.: Response of
vegetation to drought time-scales across global land biomes, P. Natl. Acad. Sci.
USA, 110, 52–57, https://doi.org/10.1073/pnas.1207068110, 2013.
Vicente-Serrano, S. M., Miralles, D. G., Domínguez-Castro F., Azorín-Molina,
C., El Kenawy, A., McVicar, T. R., Tomás-Burguera, M., Beguería, S.,
Maneta, M., and Peña-Gallardo, M.: Global assessment of the Standardized
Evapotranspiration Deficit Index (SEDI) for drought analysis and monitoring,
J. Climate, 31, 5371–5393, https://doi.org/10.1175/jcli-d-17-0775.1, 2018.
Viswanadham, Y., Silva Filho, V. P., and André, R. G. B.: The
Priestley–Taylor parameter α for the Amazon forest, Forest Ecol.
Manage., 38, 211–225, https://doi.org/10.1016/0378-1127(91)90143-J, 1991.
Wang, K., Wang, P., Li, Z., Cribb, M., and Sparrow, M.: A simple method to
estimate actual evapotranspiration from a combination of net radiation,
vegetation index, and temperature, J. Geophys. Res.- Atmos., 112, D15107,
https://doi.org/10.1029/2006JD008351, 2007.
Wang, K. C. and Dickinson, R. E.: A review of global terrestrial evapotranspiration:
observation, modeling, climatology, and climatic variability, Rev. Geophys.,
50, RG2005, https://doi.org/10.1029/2011rg000373, 2012.
Weiß, M. and Menzel, L.: A global comparison of four potential evapotranspiration
equations and their relevance to stream flow modelling in semi-arid environments,
Adv. Geosci., 18, 15–23, https://doi.org/10.5194/adgeo-18-15-2008, 2008.
Xu, C. Y. and Singh, V. P.: Evaluation and generalization of temperature-based
methods for calculating evaporation, Hydrol. Process., 15, 305–319, https://doi.org/10.1002/hyp.119, 2001.
Xu, C. Y. and Singh, V. P.: Cross comparison of empirical equations for
calculating potential evapotranspiration with data from Switzerland, Water
Resour. Manage., 16, 197–219, https://doi.org/10.1023/A:1020282515975, 2002.
Yoder, R. E., Odhiambo, L. O., and Wright, W. C.: Evaluation of methods for
estimating daily reference crop evapotranspiration at a site in the humid
Southeast United States, Appl. Eng. Agricult., 21, 197–202, https://doi.org/10.13031/2013.18153, 2005.
Zhou, M. C., Ishidaira, H., Hapuarachchi, H. P., Magome, J., Kiem, A. S., and
Takeuchi, K.: Estimating potential evapotranspiration using Shuttleworth–Wallace
model and NOAA-AVHRR NDVI data to feed a distributed hydrological model over
the Mekong River basin, J. Hydrol., 327, 151–173, https://doi.org/10.1016/j.jhydrol.2005.11.013, 2006.
Short summary
Potential evaporation (Ep) is the amount of water an ecosystem would consume if it were not limited by water availability or other stress factors. In this study, we compared several methods to estimate Ep using a global dataset of 107 FLUXNET sites. A simple radiation-driven method calibrated per biome consistently outperformed more complex approaches and makes a suitable tool to investigate the impact of water use and demand, drought severity and biome productivity.
Potential evaporation (Ep) is the amount of water an ecosystem would consume if it were not...
