Articles | Volume 16, issue 10
https://doi.org/10.5194/tc-16-4319-2022
© 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/tc-16-4319-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Understanding wind-driven melt of patchy snow cover
Luuk D. van der Valk
CORRESPONDING AUTHOR
Meteorology and Air Quality Group, Wageningen University & Research, Wageningen, the Netherlands
Hydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the Netherlands
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Adriaan J. Teuling
Hydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the Netherlands
Luc Girod
Department of Geosciences, University of Oslo, Oslo, Norway
Norbert Pirk
Department of Geosciences, University of Oslo, Oslo, Norway
Robin Stoffer
Meteorology and Air Quality Group, Wageningen University & Research, Wageningen, the Netherlands
Chiel C. van Heerwaarden
Meteorology and Air Quality Group, Wageningen University & Research, Wageningen, the Netherlands
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals as instruments specially designed to estimate evaporation. Therefore, we investigate if CMLs could be used to estimate evaporation, even though they have not been designed for this purpose. Our results illustrate the potential of using CMLs to estimate evaporation, especially given their global coverage, but also outline some major drawbacks, often a consequence of unfavourable design choices for CMLs.
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals as instruments specially designed to estimate evaporation. Therefore, we investigate if CMLs could be used to estimate evaporation, even though they have not been designed for this purpose. Our results illustrate the potential of using CMLs to estimate evaporation, especially given their global coverage, but also outline some major drawbacks, often a consequence of unfavourable design choices for CMLs.
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Microwave links, often part of mobile phone networks, can be used to measure rainfall along the link path by determining the signal loss caused by rainfall. We use high-frequency data of multiple microwave links to recreate commonly used sampling strategies. For time intervals up to 1 min, the influence of sampling strategies on estimated rainfall intensities is relatively little, while for intervals longer than 5–15 min, the sampling strategy can have significant influences on the estimates.
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals as instruments specially designed to estimate evaporation. Therefore, we investigate if CMLs could be used to estimate evaporation, even though they have not been designed for this purpose. Our results illustrate the potential of using CMLs to estimate evaporation, especially given their global coverage, but also outline some major drawbacks, often a consequence of unfavourable design choices for CMLs.
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Hydrol. Earth Syst. Sci., 29, 1483–1503, https://doi.org/10.5194/hess-29-1483-2025, https://doi.org/10.5194/hess-29-1483-2025, 2025
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Luuk D. van der Valk, Oscar K. Hartogensis, Miriam Coenders-Gerrits, Rolf W. Hut, Bas Walraven, and Remko Uijlenhoet
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Commercial microwave links (CMLs), part of mobile phone networks, transmit comparable signals as instruments specially designed to estimate evaporation. Therefore, we investigate if CMLs could be used to estimate evaporation, even though they have not been designed for this purpose. Our results illustrate the potential of using CMLs to estimate evaporation, especially given their global coverage, but also outline some major drawbacks, often a consequence of unfavourable design choices for CMLs.
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Adriaan J. Teuling, Belle Holthuis, and Jasper F. D. Lammers
Hydrol. Earth Syst. Sci., 28, 3799–3806, https://doi.org/10.5194/hess-28-3799-2024, https://doi.org/10.5194/hess-28-3799-2024, 2024
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The understanding of spatio-temporal variability of evapotranspiration (ET) is currently limited by a lack of measurement techniques that are low cost and that can be applied anywhere at any time. Here we show that evapotranspiration can be estimated accurately using observations made by smartphone sensors, suggesting that smartphone-based ET monitoring could provide a realistic and low-cost alternative for real-time ET estimation in the field.
Charles Nduhiu Wamucii, Pieter R. van Oel, Adriaan J. Teuling, Arend Ligtenberg, John Mwangi Gathenya, Gert Jan Hofstede, Meine van Noordwijk, and Erika N. Speelman
Hydrol. Earth Syst. Sci., 28, 3495–3518, https://doi.org/10.5194/hess-28-3495-2024, https://doi.org/10.5194/hess-28-3495-2024, 2024
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The study explored the role of serious gaming in strengthening stakeholder engagement in addressing human–water challenges. The gaming approach guided community discussions toward implementable decisions. The results showed increased active participation, knowledge gain, and use of plural pronouns. We observed decreased individual interests and conflicts among game participants. The study presents important implications for creating a collective basis for water resources management.
Jasper M. C. Denissen, Adriaan J. Teuling, Sujan Koirala, Markus Reichstein, Gianpaolo Balsamo, Martha M. Vogel, Xin Yu, and René Orth
Earth Syst. Dynam., 15, 717–734, https://doi.org/10.5194/esd-15-717-2024, https://doi.org/10.5194/esd-15-717-2024, 2024
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Heat extremes have severe implications for human health and ecosystems. Heat extremes are mostly introduced by large-scale atmospheric circulation but can be modulated by vegetation. Vegetation with access to water uses solar energy to evaporate water into the atmosphere. Under dry conditions, water may not be available, suppressing evaporation and heating the atmosphere. Using climate projections, we show that regionally less water is available for vegetation, intensifying future heat extremes.
Luuk D. van der Valk, Miriam Coenders-Gerrits, Rolf W. Hut, Aart Overeem, Bas Walraven, and Remko Uijlenhoet
Atmos. Meas. Tech., 17, 2811–2832, https://doi.org/10.5194/amt-17-2811-2024, https://doi.org/10.5194/amt-17-2811-2024, 2024
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Microwave links, often part of mobile phone networks, can be used to measure rainfall along the link path by determining the signal loss caused by rainfall. We use high-frequency data of multiple microwave links to recreate commonly used sampling strategies. For time intervals up to 1 min, the influence of sampling strategies on estimated rainfall intensities is relatively little, while for intervals longer than 5–15 min, the sampling strategy can have significant influences on the estimates.
Esteban Alonso-González, Kristoffer Aalstad, Norbert Pirk, Marco Mazzolini, Désirée Treichler, Paul Leclercq, Sebastian Westermann, Juan Ignacio López-Moreno, and Simon Gascoin
Hydrol. Earth Syst. Sci., 27, 4637–4659, https://doi.org/10.5194/hess-27-4637-2023, https://doi.org/10.5194/hess-27-4637-2023, 2023
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Awad M. Ali, Lieke A. Melsen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 27, 4057–4086, https://doi.org/10.5194/hess-27-4057-2023, https://doi.org/10.5194/hess-27-4057-2023, 2023
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Using a new approach based on a combination of modeling and Earth observation, useful information about the filling of the Grand Ethiopian Renaissance Dam can be obtained with limited data and proper rainfall selection. While the monthly streamflow into Sudan has decreased significantly (1.2 × 109–5 × 109 m3) with respect to the non-dam scenario, the negative impact has been masked due to higher-than-average rainfall. We reveal that the dam will need 3–5 more years to complete filling.
Marleen R. Lam, Alessia Matanó, Anne F. Van Loon, Rhoda A. Odongo, Aklilu D. Teklesadik, Charles N. Wamucii, Marc J. C. van den Homberg, Shamton Waruru, and Adriaan J. Teuling
Nat. Hazards Earth Syst. Sci., 23, 2915–2936, https://doi.org/10.5194/nhess-23-2915-2023, https://doi.org/10.5194/nhess-23-2915-2023, 2023
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Bert G. Heusinkveld, Wouter B. Mol, and Chiel C. van Heerwaarden
Atmos. Meas. Tech., 16, 3767–3785, https://doi.org/10.5194/amt-16-3767-2023, https://doi.org/10.5194/amt-16-3767-2023, 2023
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This paper presents a new instrument for fast measurements of solar irradiance in 18 wavebands (400–950 nm): GPS perfectly synchronizes 10 Hz measurement speed to universal time, low-cost (< EUR 200) complete standalone solution for realizing dense measurement grids to study cloud-shading dynamics, 940 nm waveband reveals atmospheric moisture column information, 11 wavebands to study photosynthetic active radiation and light interaction with vegetation, and good reflection spectra performance.
Andreas Kääb and Luc Girod
The Cryosphere, 17, 2533–2541, https://doi.org/10.5194/tc-17-2533-2023, https://doi.org/10.5194/tc-17-2533-2023, 2023
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Following the detachment of the 130 × 106 m3 Sedongpu Glacier (south-eastern Tibet) in 2018, the Sedongpu Valley underwent massive large-volume landscape changes. An enormous volume of in total around 330 × 106 m3 was rapidly eroded, forming a new canyon of up to 300 m depth, 1 km width, and almost 4 km length. Such consequences of glacier change in mountains have so far not been considered at this magnitude and speed.
Adrià Fontrodona-Bach, Bettina Schaefli, Ross Woods, Adriaan J. Teuling, and Joshua R. Larsen
Earth Syst. Sci. Data, 15, 2577–2599, https://doi.org/10.5194/essd-15-2577-2023, https://doi.org/10.5194/essd-15-2577-2023, 2023
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We provide a dataset of snow water equivalent, the depth of liquid water that results from melting a given depth of snow. The dataset contains 11 071 sites over the Northern Hemisphere, spans the period 1950–2022, and is based on daily observations of snow depth on the ground and a model. The dataset fills a lack of accessible historical ground snow data, and it can be used for a variety of applications such as the impact of climate change on global and regional snow and water resources.
Norbert Pirk, Kristoffer Aalstad, Yeliz A. Yilmaz, Astrid Vatne, Andrea L. Popp, Peter Horvath, Anders Bryn, Ane Victoria Vollsnes, Sebastian Westermann, Terje Koren Berntsen, Frode Stordal, and Lena Merete Tallaksen
Biogeosciences, 20, 2031–2047, https://doi.org/10.5194/bg-20-2031-2023, https://doi.org/10.5194/bg-20-2031-2023, 2023
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We measured the land–atmosphere exchange of CO2 and water vapor in alpine Norway over 3 years. The extremely snow-rich conditions in 2020 reduced the total annual evapotranspiration to 50 % and reduced the growing-season carbon assimilation to turn the ecosystem from a moderate annual carbon sink to an even stronger source. Our analysis suggests that snow cover anomalies are driving the most consequential short-term responses in this ecosystem’s functioning.
Wouter B. Mol, Wouter H. Knap, and Chiel C. van Heerwaarden
Earth Syst. Sci. Data, 15, 2139–2151, https://doi.org/10.5194/essd-15-2139-2023, https://doi.org/10.5194/essd-15-2139-2023, 2023
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We describe a dataset of detailed measurements of sunlight reaching the surface, recorded at a rate of one measurement per second for 10 years. The dataset includes detailed information on direct and scattered sunlight; classifications and statistics of variability; and observations of clouds, atmospheric composition, and wind. The dataset can be used to study how the atmosphere influences sunlight variability and to validate models that aim to predict this variability with greater accuracy.
Norbert Pirk, Kristoffer Aalstad, Sebastian Westermann, Astrid Vatne, Alouette van Hove, Lena Merete Tallaksen, Massimo Cassiani, and Gabriel Katul
Atmos. Meas. Tech., 15, 7293–7314, https://doi.org/10.5194/amt-15-7293-2022, https://doi.org/10.5194/amt-15-7293-2022, 2022
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In this study, we show how sparse and noisy drone measurements can be combined with an ensemble of turbulence-resolving wind simulations to estimate uncertainty-aware surface energy exchange. We demonstrate the feasibility of this drone data assimilation framework in a series of synthetic and real-world experiments. This new framework can, in future, be applied to estimate energy and gas exchange in heterogeneous landscapes more representatively than conventional methods.
Anders Lindroth, Norbert Pirk, Ingibjörg S. Jónsdóttir, Christian Stiegler, Leif Klemedtsson, and Mats B. Nilsson
Biogeosciences, 19, 3921–3934, https://doi.org/10.5194/bg-19-3921-2022, https://doi.org/10.5194/bg-19-3921-2022, 2022
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We measured the fluxes of carbon dioxide and methane between a moist moss tundra and the atmosphere on Svalbard in order to better understand how such ecosystems are affecting the climate and vice versa. We found that the system was a small sink of carbon dioxide and a small source of methane. These fluxes are small in comparison with other tundra ecosystems in the high Arctic. Analysis of temperature sensitivity showed that respiration was more sensitive than photosynthesis above about 6 ℃.
Alessandro Montemagno, Christophe Hissler, Victor Bense, Adriaan J. Teuling, Johanna Ziebel, and Laurent Pfister
Biogeosciences, 19, 3111–3129, https://doi.org/10.5194/bg-19-3111-2022, https://doi.org/10.5194/bg-19-3111-2022, 2022
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We investigated the biogeochemical processes that dominate the release and retention of elements (nutrients and potentially toxic elements) during litter degradation. Our results show that toxic elements are retained in the litter, while nutrients are released in solution during the first stages of degradation. This seems linked to the capability of trees to distribute the elements between degradation-resistant and non-degradation-resistant compounds of leaves according to their chemical nature.
Linqi Zhang, Yi Liu, Liliang Ren, Adriaan J. Teuling, Ye Zhu, Linyong Wei, Linyan Zhang, Shanhu Jiang, Xiaoli Yang, Xiuqin Fang, and Hang Yin
Hydrol. Earth Syst. Sci., 26, 3241–3261, https://doi.org/10.5194/hess-26-3241-2022, https://doi.org/10.5194/hess-26-3241-2022, 2022
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In this study, three machine learning methods displayed a good detection capacity of flash droughts. The RF model was recommended to estimate the depletion rate of soil moisture and simulate flash drought by considering the multiple meteorological variable anomalies in the adjacent time to drought onset. The anomalies of precipitation and potential evapotranspiration exhibited a stronger synergistic but asymmetrical effect on flash droughts compared to slowly developing droughts.
Frank Paul, Livia Piermattei, Désirée Treichler, Lin Gilbert, Luc Girod, Andreas Kääb, Ludivine Libert, Thomas Nagler, Tazio Strozzi, and Jan Wuite
The Cryosphere, 16, 2505–2526, https://doi.org/10.5194/tc-16-2505-2022, https://doi.org/10.5194/tc-16-2505-2022, 2022
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Glacier surges are widespread in the Karakoram and have been intensely studied using satellite data and DEMs. We use time series of such datasets to study three glacier surges in the same region of the Karakoram. We found strongly contrasting advance rates and flow velocities, maximum velocities of 30 m d−1, and a change in the surge mechanism during a surge. A sensor comparison revealed good agreement, but steep terrain and the two smaller glaciers caused limitations for some of them.
Anja Ražnjević, Chiel van Heerwaarden, and Maarten Krol
Atmos. Meas. Tech., 15, 3611–3628, https://doi.org/10.5194/amt-15-3611-2022, https://doi.org/10.5194/amt-15-3611-2022, 2022
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We evaluate two widely used observational techniques (Other Test Method (OTM) 33A and car drive-bys) that estimate point source gas emissions. We performed our analysis on high-resolution plume dispersion simulation. For car drive-bys we found that at least 15 repeated measurements were needed to get within 40 % of the true emissions. OTM 33A produced large errors in estimation (50 %–200 %) due to its sensitivity to dispersion coefficients and underlying simplifying assumptions.
Femke A. Jansen, Remko Uijlenhoet, Cor M. J. Jacobs, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 26, 2875–2898, https://doi.org/10.5194/hess-26-2875-2022, https://doi.org/10.5194/hess-26-2875-2022, 2022
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We studied the controls on open water evaporation with a focus on Lake IJssel, the Netherlands, by analysing eddy covariance observations over two summer periods at two locations at the borders of the lake. Wind speed and the vertical vapour pressure gradient can explain most of the variation in observed evaporation, which is in agreement with Dalton's model. We argue that the distinct characteristics of inland waterbodies need to be taken into account when parameterizing their evaporation.
Anja Ražnjević, Chiel van Heerwaarden, Bart van Stratum, Arjan Hensen, Ilona Velzeboer, Pim van den Bulk, and Maarten Krol
Atmos. Chem. Phys., 22, 6489–6505, https://doi.org/10.5194/acp-22-6489-2022, https://doi.org/10.5194/acp-22-6489-2022, 2022
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Mobile measurement techniques (e.g., instruments placed in cars) are often employed to identify and quantify individual sources of greenhouse gases. Due to road restrictions, those observations are often sparse (temporally and spatially). We performed high-resolution simulations of plume dispersion, with realistic weather conditions encountered in the field, to reproduce the measurement process of a methane plume emitted from an oil well and provide additional information about the plume.
Charles Nduhiu Wamucii, Pieter R. van Oel, Arend Ligtenberg, John Mwangi Gathenya, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 25, 5641–5665, https://doi.org/10.5194/hess-25-5641-2021, https://doi.org/10.5194/hess-25-5641-2021, 2021
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East African water towers (WTs) are under pressure from human influences within and without, but the water yield (WY) is more sensitive to climate changes from within. Land use changes have greater impacts on WY in the surrounding lowlands. The WTs have seen a strong shift towards wetter conditions while, at the same time, the potential evapotranspiration is gradually increasing. The WTs were identified as non-resilient, and future WY may experience more extreme variations.
Peter T. La Follette, Adriaan J. Teuling, Nans Addor, Martyn Clark, Koen Jansen, and Lieke A. Melsen
Hydrol. Earth Syst. Sci., 25, 5425–5446, https://doi.org/10.5194/hess-25-5425-2021, https://doi.org/10.5194/hess-25-5425-2021, 2021
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Hydrological models are useful tools that allow us to predict distributions and movement of water. A variety of numerical methods are used by these models. We demonstrate which numerical methods yield large errors when subject to extreme precipitation. As the climate is changing such that extreme precipitation is more common, we find that some numerical methods are better suited for use in hydrological models. Also, we find that many current hydrological models use relatively inaccurate methods.
Robin Stoffer, Caspar M. van Leeuwen, Damian Podareanu, Valeriu Codreanu, Menno A. Veerman, Martin Janssens, Oscar K. Hartogensis, and Chiel C. van Heerwaarden
Geosci. Model Dev., 14, 3769–3788, https://doi.org/10.5194/gmd-14-3769-2021, https://doi.org/10.5194/gmd-14-3769-2021, 2021
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Turbulent flows are often simulated with the large-eddy simulation (LES) technique, which requires subgrid models to account for the smallest scales. Current subgrid models often require strong simplifying assumptions. We therefore developed a subgrid model based on artificial neural networks, which requires fewer assumptions. Our data-driven SGS model showed high potential in accurately representing the smallest scales but still introduced instability when incorporated into an actual LES.
Andreas Kääb, Mylène Jacquemart, Adrien Gilbert, Silvan Leinss, Luc Girod, Christian Huggel, Daniel Falaschi, Felipe Ugalde, Dmitry Petrakov, Sergey Chernomorets, Mikhail Dokukin, Frank Paul, Simon Gascoin, Etienne Berthier, and Jeffrey S. Kargel
The Cryosphere, 15, 1751–1785, https://doi.org/10.5194/tc-15-1751-2021, https://doi.org/10.5194/tc-15-1751-2021, 2021
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Hardly recognized so far, giant catastrophic detachments of glaciers are a rare but great potential for loss of lives and massive damage in mountain regions. Several of the events compiled in our study involve volumes (up to 100 million m3 and more), avalanche speeds (up to 300 km/h), and reaches (tens of kilometres) that are hard to imagine. We show that current climate change is able to enhance associated hazards. For the first time, we elaborate a set of factors that could cause these events.
Joost Buitink, Lieke A. Melsen, and Adriaan J. Teuling
Earth Syst. Dynam., 12, 387–400, https://doi.org/10.5194/esd-12-387-2021, https://doi.org/10.5194/esd-12-387-2021, 2021
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Higher temperatures influence both evaporation and snow processes. These two processes have a large effect on discharge but have distinct roles during different seasons. In this study, we study how higher temperatures affect the discharge via changed evaporation and snow dynamics. Higher temperatures lead to enhanced evaporation but increased melt from glaciers, overall lowering the discharge. During the snowmelt season, discharge was reduced further due to the earlier depletion of snow.
Jolijn van Engelenburg, Erik van Slobbe, Adriaan J. Teuling, Remko Uijlenhoet, and Petra Hellegers
Drink. Water Eng. Sci., 14, 1–43, https://doi.org/10.5194/dwes-14-1-2021, https://doi.org/10.5194/dwes-14-1-2021, 2021
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This study analysed the impact of extreme weather events, water quality deterioration, and a growing drinking water demand on the sustainability of drinking water supply in the Netherlands. The results of the case studies were compared to sustainability issues for drinking water supply that are experienced worldwide. This resulted in a set of sustainability characteristics describing drinking water supply on a local scale in terms of hydrological, technical, and socio-economic characteristics.
Theresa C. van Hateren, Marco Chini, Patrick Matgen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-583, https://doi.org/10.5194/hess-2020-583, 2020
Manuscript not accepted for further review
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Agricultural droughts occur when the water content of the soil diminishes to such a level that vegetation is negatively impacted. Here we show that, although they are classified as the same type of drought, substantial differences between soil moisture and vegetation droughts exist. This duality is not included in the term agricultural drought, and thus is a potential issue in drought research. We argue that a distinction should be made between soil moisture and vegetation drought events.
Joost Buitink, Anne M. Swank, Martine van der Ploeg, Naomi E. Smith, Harm-Jan F. Benninga, Frank van der Bolt, Coleen D. U. Carranza, Gerbrand Koren, Rogier van der Velde, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 24, 6021–6031, https://doi.org/10.5194/hess-24-6021-2020, https://doi.org/10.5194/hess-24-6021-2020, 2020
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The amount of water stored in the soil is critical for the productivity of plants. Plant productivity is either limited by the available water or by the available energy. In this study, we infer this transition point by comparing local observations of water stored in the soil with satellite observations of vegetation productivity. We show that the transition point is not constant with soil depth, indicating that plants use water from deeper layers when the soil gets drier.
Joost Buitink, Lieke A. Melsen, James W. Kirchner, and Adriaan J. Teuling
Geosci. Model Dev., 13, 6093–6110, https://doi.org/10.5194/gmd-13-6093-2020, https://doi.org/10.5194/gmd-13-6093-2020, 2020
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This paper presents a new distributed hydrological model: the distributed simple dynamical systems (dS2) model. The model is built with a focus on computational efficiency and is therefore able to simulate basins at high spatial and temporal resolution at a low computational cost. Despite the simplicity of the model concept, it is able to correctly simulate discharge in both small and mesoscale basins.
Jasper Foets, Carlos E. Wetzel, Núria Martínez-Carreras, Adriaan J. Teuling, Jean-François Iffly, and Laurent Pfister
Hydrol. Earth Syst. Sci., 24, 4709–4725, https://doi.org/10.5194/hess-24-4709-2020, https://doi.org/10.5194/hess-24-4709-2020, 2020
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Diatoms (microscopic algae) are regarded as useful tracers in catchment hydrology. However, diatom analysis is labour-intensive; therefore, only a limited number of samples can be analysed. To reduce this number, we explored the potential for a time-integrated mass-flux sampler to provide a representative sample of the diatom assemblage for a whole storm run-off event. Our results indicate that the Phillips sampler did indeed sample representative communities during two of the three events.
Caspar T. J. Roebroek, Lieke A. Melsen, Anne J. Hoek van Dijke, Ying Fan, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 24, 4625–4639, https://doi.org/10.5194/hess-24-4625-2020, https://doi.org/10.5194/hess-24-4625-2020, 2020
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Vegetation is a principal component in the Earth system models that are used for weather, climate and other environmental predictions. Water is one of the main drivers of vegetation; however, the global distribution of how water influences vegetation is not well understood. This study looks at spatial patterns of photosynthesis and water sources (rain and groundwater) to obtain a first understanding of water access and limitations for the growth of global forests (proxy for natural vegetation).
Anne J. Hoek van Dijke, Kaniska Mallick, Martin Schlerf, Miriam Machwitz, Martin Herold, and Adriaan J. Teuling
Biogeosciences, 17, 4443–4457, https://doi.org/10.5194/bg-17-4443-2020, https://doi.org/10.5194/bg-17-4443-2020, 2020
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We investigated the link between the vegetation leaf area index (LAI) and the land–atmosphere exchange of water, energy, and carbon fluxes. We show that the correlation between the LAI and water and energy fluxes depends on the vegetation type and aridity. For carbon fluxes, however, the correlation with the LAI was strong and independent of vegetation and aridity. This study provides insight into when the vegetation LAI can be used to model or extrapolate land–atmosphere fluxes.
Cited articles
Aalstad, K., Westermann, S., Schuler, T. V., Boike, J., and Bertino, L.: Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites, The Cryosphere, 12, 247–270, https://doi.org/10.5194/tc-12-247-2018, 2018. a
Anderson, B., Mackintosh, A., Stumm, D., George, L., Kerr, T.,
Winter-Billington, A., and Fitzsimons, S.: Climate sensitivity of a
high-precipitation glacier in New Zealand, J. Glaciology, 56,
114–128, https://doi.org/10.3189/002214310791190929, 2010. a
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a
warming climate on water availability in snow-dominated regions, Nature,
438, 303–309, https://doi.org/10.1038/nature04141, 2005. a
Berghuijs, W. R., Woods, R. A., and Hrachowitz, M.: A precipitation shift from
snow towards rain leads to a decrease in streamflow, Nat. Clim. Change,
4, 583–586, https://doi.org/10.1038/NCLIMATE2246, 2014. a, b
Bonekamp, P. N. J., van Heerwaarden, C. C., Steiner, J. F., and Immerzeel, W. W.: Using 3D turbulence-resolving simulations to understand the impact of surface properties on the energy balance of a debris-covered glacier, The Cryosphere, 14, 1611–1632, https://doi.org/10.5194/tc-14-1611-2020, 2020. a, b, c
Brandenberger, A. J.: Map of the McCall Glacier, Brooks Range, Alaska, American Geographical Society, New York, AGS Report, 11, https://collections.lib.uwm.edu/digital/collection/agdm/id/6815/(last access: 23 September 2022), 1959. a
Buckingham, E.: On physically similar systems; illustrations of the use of
dimensional equations, Phys. Rev., 4, 345–376, https://doi.org/10.1103/PhysRev.4.345, 1914. a
Bühler, Y., Adams, M. S., Bösch, R., and Stoffel, A.: Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations, The Cryosphere, 10, 1075–1088, https://doi.org/10.5194/tc-10-1075-2016, 2016. a
Cimoli, E., Marcer, M., Vandecrux, B., Bøggild, C. E., Williams, G., and
Simonsen, S. B.: Application of low-cost UASs and digital photogrammetry for
high-resolution snow depth mapping in the Arctic, Remote Sensing, 9, 1144, https://doi.org/10.3390/rs9111144,
2017. a
Conway, J. and Cullen, N.: Constraining turbulent heat flux parameterization
over a temperate maritime glacier in New Zealand, Ann. Glaciol., 54,
41–51, https://doi.org/10.3189/2013AoG63A604, 2013. a
Dadic, R., Mott, R., Lehning, M., Carenzo, M., Anderson, B., and Mackintosh,
A.: Sensitivity of turbulent fluxes to wind speed over snow surfaces in
different climatic settings, Adv. Water Resour., 55, 178–189,
https://doi.org/10.1016/j.advwatres.2012.06.010, 2013. a
DeBeer, C. M. and Pomeroy, J. W.: Influence of snowpack and melt energy
heterogeneity on snow cover depletion and snowmelt runoff simulation in a
cold mountain environment, J. Hydrol., 553, 199–213, https://doi.org/10.1016/j.jhydrol.2017.07.051, 2017. a
Deems, J. S., Painter, T. H., and Finnegan, D. C.: Lidar measurement of snow
depth: a review, J. Glaciol., 59, 467–479,
https://doi.org/10.3189/2013JoG12J154, 2013. a
Dong, C. and Menzel, L.: Snow process monitoring in montane forests with
time-lapse photography, Hydrol. Process., 31, 2872–2886, https://doi.org/10.1002/hyp.11229, 2017. a
Dozier, J. and Warren, S. G.: Effect of viewing angle on the infrared
brightness temperature of snow, Water Resour. Res., 18, 1424–1434, https://doi.org/10.1029/WR018i005p01424,
1982. a
Egli, L., Jonas, T., Grünewald, T., Schirmer, M., and Burlando, P.:
Dynamics of snow ablation in a small Alpine catchment observed by repeated
terrestrial laser scans, Hydrol. Process., 26, 1574–1585,
https://doi.org/10.1002/hyp.8244, 2012. a
Essery, R., Granger, R., and Pomeroy, J.: Boundary-layer growth and advection
of heat over snow and soil patches: Modellling and parameterization,
Hydrol. Process., 20, 953–967, https://doi.org/10.1002/hyp.6122, 2006. a, b, c
Filhol, S., Perret, A., Girod, L., Sutter, G., Schuler, T., and Burkhart, J.:
Time-Lapse Photogrammetry of Distributed Snow Depth During Snowmelt, Water
Resour. Res., 55, 7916–7926, https://doi.org/10.1029/2018WR024530, 2019. a, b, c
Fontrodona Bach, A., Van der Schrier, G., Melsen, L., Klein Tank, A., and
Teuling, A.: Widespread and accelerated decrease of observed mean and extreme
snow depth over Europe, Geophys. Res. Lett., 45, 12–312, https://doi.org/10.1029/2018GL079799, 2018. a
Fujita, K., Hiyama, K., Iida, H., and Ageta, Y.: Self-regulated fluctuations
in the ablation of a snow patch over four decades, Water Resour. Res.,
46, W11541, https://doi.org/10.1029/2009WR008383, 2010. a, b
Garratt, J. R.: The internal boundary layer – A review, Bound.-Lay.
Meteorol., 50, 171–203, https://doi.org/10.1161/01.RES.80.6.877, 1990. a, b
Garvelmann, J., Pohl, S., and Weiler, M.: From observation to the quantification of snow processes with a time-lapse camera network, Hydrol. Earth Syst. Sci., 17, 1415–1429, https://doi.org/10.5194/hess-17-1415-2013, 2013. a
Girod, L., Nuth, C., Kääb, A., Etzelmüller, B., and Kohler, J.: Terrain changes from images acquired on opportunistic flights by SfM photogrammetry, The Cryosphere, 11, 827–840, https://doi.org/10.5194/tc-11-827-2017, 2017. a
Golombek, R., Kittelsen, S. A., and Haddeland, I.: Climate change: impacts on
electricity markets in Western Europe, Climatic Change, 113, 357–370, https://doi.org/10.1007/s10584-011-0348-6, 2012. a
Granger, R. J., Pomeroy, J. W., and Parviainen, J.: Boundary-layer integration
approach to advection of sensible heat to a patchy snow cover, Hydrol.
Process., 16, 3559–3569, https://doi.org/10.1002/hyp.1227, 2002. a, b, c, d
Granger, R. J., Essery, R., and Pomeroy, J. W.: Boundary-layer growth over
snow and soil patches: Field observations, Hydrol. Process., 20,
943–951, https://doi.org/10.1002/hyp.6123, 2006. a, b
Groffman, P. M., Driscoll, C. T., Fahey, T. J., Hardy, J. P., Fitzhugh, R. D.,
and Tierney, G. L.: Colder soils in a warmer world: a snow manipulation study
in a northern hardwood forest ecosystem, Biogeochemistry, 56, 135–150, https://doi.org/10.1023/A:1013039830323, 2001. a
Grünewald, T., Schirmer, M., Mott, R., and Lehning, M.: Spatial and temporal variability of snow depth and ablation rates in a small mountain catchment, The Cryosphere, 4, 215–225, https://doi.org/10.5194/tc-4-215-2010, 2010. a
Grünewald, T., Wolfsperger, F., and Lehning, M.: Snow farming: conserving snow over the summer season, The Cryosphere, 12, 385–400, https://doi.org/10.5194/tc-12-385-2018, 2018. a
Hamilton, T. D.: Comparative glacier photographs from northern Alaska, J. Glaciol., 5, 479–487, https://doi.org/10.3189/S0022143000018451, 1965. a
Harder, P., Pomeroy, J. W., and Helgason, W.: Local-Scale Advection of
Sensible and Latent Heat During Snowmelt, Geophys. Res. Lett., 44,
9769–9777, https://doi.org/10.1002/2017GL074394, 2017. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z, aa, ab, ac, ad, ae, af, ag, ah
Harder, P., Pomeroy, J. W., and Helgason, W. D.: Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques, The Cryosphere, 14, 1919–1935, https://doi.org/10.5194/tc-14-1919-2020, 2020. a
Härer, S., Bernhardt, M., Corripio, J. G., and Schulz, K.: PRACTISE – Photo Rectification And ClassificaTIon SoftwarE (V.1.0), Geosci. Model Dev., 6, 837–848, https://doi.org/10.5194/gmd-6-837-2013, 2013. a
Hock, R.: Temperature index melt modelling in mountain areas, J.
Hydrol., 282, 104–115,
https://doi.org/10.1016/S0022-1694(03)00257-9, 2003. a
Hock, R.: Glacier melt: a review of processes and their modelling, Prog.
Phys. Geog., 29, 362–391,
https://doi.org/10.1191/0309133305pp453ra, 2005. a
Hojatimalekshah, A., Uhlmann, Z., Glenn, N. F., Hiemstra, C. A., Tennant, C. J., Graham, J. D., Spaete, L., Gelvin, A., Marshall, H.-P., McNamara, J. P., and Enterkine, J.: Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning, The Cryosphere, 15, 2187–2209, https://doi.org/10.5194/tc-15-2187-2021, 2021. a
Jacobs, J. M., Hunsaker, A. G., Sullivan, F. B., Palace, M., Burakowski, E. A., Herrick, C., and Cho, E.: Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States, The Cryosphere, 15, 1485–1500, https://doi.org/10.5194/tc-15-1485-2021, 2021. a
Kawamura, H., Ohsaka, K., Abe, H., and Yamamoto, K.: DNS of turbulent heat
transfer in channel flow with low to medium-high Prandtl number fluid,
Int. J. Heat Fluid Fl., 19, 482–491,
https://doi.org/10.1016/S0142-727X(98)10026-7, 1998. a
Kumar, M., Marks, D., Dozier, J., Reba, M., and Winstral, A.: Evaluation of
distributed hydrologic impacts of temperature-index and energy-based snow
models, Adv. Water Resour., 56, 77–89, https://doi.org/10.1016/j.advwatres.2013.03.006, 2013. a
Lehning, M., Völksch, I., Gustafsson, D., Nguyen, T. A., Stähli,
M., and Zappa, M.: ALPINE3D: a detailed model of mountain surface processes
and its application to snow hydrology, Hydrol. Process., 20,
2111–2128, https://doi.org/10.1002/hyp.6204, 2006. a
Lejeune, Y., Bouilloud, L., Etchevers, P., Wagnon, P., Chevallier, P., Sicart,
J.-E., Martin, E., and Habets, F.: Melting of snow cover in a tropical
mountain environment in Bolivia: Processes and modeling, J.
Hydrometeorol., 8, 922–937, https://doi.org/10.1175/JHM590.1, 2007. a
Liston, G. E.: Local Advection of Momentum, Heat and Moisture during the Melt
of Patch Snow Covers, J. Appl. Meteorol., 34, 1705–1716, https://journals.ametsoc.org/view/journals/apme/34/7/1520-0450-34_7_1705.xml?tab_body=abstract-display (last access: 4 October 2022), 1995. a
Liston, G. E.: Representing subgrid snow cover heterogeneities in regional and
global models, J. Climate, 17, 1381–1397, https://doi.org/10.1175/1520-0442(2004)017<1381:RSSCHI>2.0.CO;2, 2004. a
Loth, B. and Graf, H.-F.: Modeling the snow cover in climate studies: 2. The
sensitivity to internal snow parameters and interface processes, J.
Geophys. Res.-Atmos., 103, 11329–11340, https://doi.org/10.1029/97JD01412, 1998. a
Male, D. H. and Granger, R. J.: Snow surface energy exchange, Water Resour.
Res., 17, 609–627, https://doi.org/10.1029/WR017i003p00609, 1981. a
Marsh, P., Pomeroy, J., and Neumann, N.: Sensible heat flux and local advection
over a heterogeneous landscape at an Arctic tundra site during snowmelt,
Ann. Glaciol., 25, 132–136, https://doi.org/10.3189/S0260305500013926, 1997. a
Marty, C., Philipona, R., Fröhlich, C., and Ohmura, A.: Altitude dependence
of surface radiation fluxes and cloud forcing in the alps: results from the
alpine surface radiation budget network, Theor. Appl. Climatol.,
72, 137–155, https://doi.org/10.1007/s007040200019, 2002. a
Melsen, L. A., Addor, N., Mizukami, N., Newman, A. J., Torfs, P. J. J. F., Clark, M. P., Uijlenhoet, R., and Teuling, A. J.: Mapping (dis)agreement in hydrologic projections, Hydrol. Earth Syst. Sci., 22, 1775–1791, https://doi.org/10.5194/hess-22-1775-2018, 2018. a, b
Moin, P. and Mahesh, K.: Direct Numerical Simulation: A Tool in Turbulence
Research, Annu. Rev. Fluid Mech., 30, 539–578,
https://doi.org/10.1146/annurev.fluid.30.1.539, 1998. a
Mote, P. W., Li, S., Lettenmaier, D. P., Xiao, M., and Engel, R.: Dramatic
declines in snowpack in the western US, npj Clim. Atmos. Sci.,
1, 2, https://doi.org/10.1038/s41612-018-0012-1, 2018. a
Mott, R., Egli, L., Grünewald, T., Dawes, N., Manes, C., Bavay, M., and Lehning, M.: Micrometeorological processes driving snow ablation in an Alpine catchment, The Cryosphere, 5, 1083–1098, https://doi.org/10.5194/tc-5-1083-2011, 2011. a, b, c
Mott, R., Gromke, C., Grünewald, T., and Lehning, M.: Relative
importance of advective heat transport and boundary layer decoupling in the
melt dynamics of a patchy snow cover, Adv. Water Resour., 55,
88–97, https://doi.org/10.1016/j.advwatres.2012.03.001, 2013. a
Mott, R., Daniels, M., and Lehning, M.: Atmospheric Flow Development and
Associated Changes in Turbulent Sensible Heat Flux over a Patchy Mountain
Snow Cover, J. Hydrometeorol., 16, 1315–1340,
https://doi.org/10.1175/JHM-D-14-0036.1, 2015. a, b
Mott, R., Paterna, E., Horender, S., Crivelli, P., and Lehning, M.: Wind tunnel experiments: cold-air pooling and atmospheric decoupling above a melting snow patch, The Cryosphere, 10, 445–458, https://doi.org/10.5194/tc-10-445-2016, 2016. a, b, c, d
Mott, R., Schlögl, S., Dirks, L., and Lehning, M.: Impact of Extreme
Land Surface Heterogeneity on Micrometeorology over Spring Snow Cover,
J. Hydrometeorol., 18, 2705–2722, https://doi.org/10.1175/JHM-D-17-0074.1,
2017. a, b
Mott, R., Vionnet, V., and Grünewald, T.: The seasonal snow cover dynamics:
review on wind-driven coupling processes, Front. Earth Sci., 6, 197, https://doi.org/10.3389/feart.2018.00197,
2018. a, b, c, d
Mott, R., Wolf, A., Kehl, M., Kunstmann, H., Warscher, M., and Grünewald, T.: Avalanches and micrometeorology driving mass and energy balance of the lowest perennial ice field of the Alps: a case study, The Cryosphere, 13, 1247–1265, https://doi.org/10.5194/tc-13-1247-2019, 2019. a
Mott, R., Stiperski, I., and Nicholson, L.: Spatio-temporal flow variations driving heat exchange processes at a mountain glacier, The Cryosphere, 14, 4699–4718, https://doi.org/10.5194/tc-14-4699-2020, 2020. a
Nolan, M., Larsen, C., and Sturm, M.: Mapping snow depth from manned aircraft on landscape scales at centimeter resolution using structure-from-motion photogrammetry, The Cryosphere, 9, 1445–1463, https://doi.org/10.5194/tc-9-1445-2015, 2015. a, b
Olyphant, G. A. and Isard, S. A.: The role of advection in the energy balance
of late-lying snowfields: Niwot Ridge, Front Range, Colorado, Water Resour.
Res., 24, 1962–1968, https://doi.org/10.1029/WR024i011p01962, 1988. a, b
Painter, T. H., Berisford, D. F., Boardman, J. W., Bormann, K. J., Deems,
J. S., Gehrke, F., Hedrick, A., Joyce, M., Laidlaw, R., Marks, D., Mattmann,
C., McGurk, B., Ramirez, P., Richardson, M., Skiles, S. M., Seidel, F. C.,
and Winstral, A.: The Airborne Snow Observatory: Fusion of scanning lidar,
imaging spectrometer, and physically-based modeling for mapping snow water
equivalent and snow albedo, Remote Sens. Environ., 184, 139–152,
https://doi.org/10.1016/j.rse.2016.06.018, 2016. a
Plüss, C. and Mazzoni, R.: The Role of Turbulent Heat Fluxes in the Energy
Balance of High Alpine Snow Cover, Hydrol. Res., 25, 25–38, https://doi.org/10.2166/nh.1994.0017, 1994. a, b
Pohl, S. and Marsh, P.: Modelling the spatial–temporal variability of spring
snowmelt in an arctic catchment, Hydrol. Process., 20, 1773–1792, https://doi.org/10.1002/hyp.5955, 2006. a, b
Pope, S.: Turbulent Flows, Cambridge University Press, ISBN 9780511840531, 2000. a
Rupnik, E., Daakir, M., and Deseilligny, M. P.: MicMac – a free, open-source
solution for photogrammetry, Open Geospatial Data, Software and Standards, 2,
14, https://doi.org/10.1186/s40965-017-0027-2, 2017. a
Sauter, T. and Galos, S. P.: Effects of local advection on the spatial sensible heat flux variation on a mountain glacier, The Cryosphere, 10, 2887–2905, https://doi.org/10.5194/tc-10-2887-2016, 2016. a, b
Schlögl, S., Lehning, M., Nishimura, K., Huwald, H., Cullen, N. J., and
Mott, R.: How do Stability Corrections Perform in the Stable Boundary Layer
Over Snow?, Bound.-Lay. Meteorol., 165, 161–180,
https://doi.org/10.1007/s10546-017-0262-1, 2017. a
Schlögl, S., Lehning, M., Fierz, C., and Mott, R.: Representation of
Horizontal Transport Processes in Snowmelt Modeling by Applying a Footprint
Approach, Front. Earth Sci., 6, 120, https://doi.org/10.3389/feart.2018.00120, 2018b. a, b, c
Sicart, J. E., Hock, R., and Six, D.: Glacier melt, air temperature, and energy
balance in different climates: The Bolivian Tropics, the French Alps, and
northern Sweden, J. Geophys. Res.-Atmos., 113, D24113, https://doi.org/10.1029/2008JD010406, 2008. a
Silantyeva, O., Burkhart, J. F., Bhattarai, B. C., Skavhaug, O., and Helset, S.: Operational hydrology in highly steep areas: evaluation of tin-based toolchain, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-8172, https://doi.org/10.5194/egusphere-egu2020-8172, 2020.
a
Sturm, M. and Benson, C.: Scales of spatial heterogeneity for perennial and
seasonal snow layers, Ann. Glaciol., 38, 253–260, https://doi.org/10.3189/172756404781815112, 2004. a
Sturm, M., Goldstein, M. A., and Parr, C.: Water and life from snow: A trillion
dollar science question, Water Resour. Res., 53, 3534–3544, https://doi.org/10.1002/2017WR020840, 2017. a
van der Valk, L. D., Teuling, A. J., Girod, L., Pirk, N., Stoffer, R., and van
Heerwaarden, C. C.: Snowmelt observations: Understanding wind-driven melt of
patchy snow cover, Zenodo [data set], https://doi.org/10.5281/zenodo.4704873, 2021a. a
van der Valk, L. D., Teuling, A. J., Girod, L., Pirk, N., Stoffer, R., and van
Heerwaarden, C. C.: Simulation output: Understanding wind-driven melt of
patchy snow cover, Zenodo [data set], https://doi.org/10.5281/zenodo.4705288, 2021b. a
van Heerwaarden, C. C. and Mellado, J. P.: Growth and Decay of a Convective
Boundary Layer over a Surface with a Constant Temperature, J.
Atmos. Sci., 73, 2165–2177, https://doi.org/10.1175/JAS-D-15-0315.1, 2016. a
van Heerwaarden, C. C., van Stratum, B. J. H., Heus, T., Gibbs, J. A., Fedorovich, E., and Mellado, J. P.: MicroHH 1.0: a computational fluid dynamics code for direct numerical simulation and large-eddy simulation of atmospheric boundary layer flows, Geosci. Model Dev., 10, 3145–3165, https://doi.org/10.5194/gmd-10-3145-2017, 2017. a, b
Vionnet, V., Marsh, C. B., Menounos, B., Gascoin, S., Wayand, N. E., Shea, J., Mukherjee, K., and Pomeroy, J. W.: Multi-scale snowdrift-permitting modelling of mountain snowpack, The Cryosphere, 15, 743–769, https://doi.org/10.5194/tc-15-743-2021, 2021. a
Viviroli, D., Dürr, H. H., Messerli, B., Meybeck, M., and Weingartner,
R.: Mountains of the world, water towers for humanity: Typology, mapping,
and global significance, Water Resour. Res., 43, W07447,
https://doi.org/10.1029/2006WR005653, 2007. a
Weismann, R. N.: Snowmelt: A Two-Dimensional Turbulent Diffusion Model, Water
Resour. Res., 13, 337–342, https://doi.org/10.1029/WR013i002p00337, 1977. a, b
Wheeler, J. A., Cortés, A. J., Sedlacek, J., Karrenberg, S., van Kleunen,
M., Wipf, S., Hoch, G., Bossdorf, O., and Rixen, C.: The snow and the
willows: earlier spring snowmelt reduces performance in the low-lying alpine
shrub Salix herbacea, J. Ecol., 104, 1041–1050, https://doi.org/10.1111/1365-2745.12579, 2016. a
Xue, M., Droegemeier, K. K., Wong, V., Shapiro, A., Brewster, K., Carr, F.,
Weber, D., Liu, Y., and Wang, D.: The Advanced Regional Prediction System
(ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction
tool. Part II: Model physics and applications, Meteorol. Atmos.
Phys., 76, 143–165, https://doi.org/10.1007/s007030170027, 2001. a
Short summary
Most large-scale hydrological and climate models struggle to capture the spatially highly variable wind-driven melt of patchy snow cover. In the field, we find that 60 %–80 % of the total melt is wind driven at the upwind edge of a snow patch, while it does not contribute at the downwind edge. Our idealized simulations show that the variation is due to a patch-size-independent air-temperature reduction over snow patches and also allow us to study the role of wind-driven snowmelt on larger scales.
Most large-scale hydrological and climate models struggle to capture the spatially highly...