Land surface modeling informed by earth observation data:toward understanding blue-green-white water fluxes in High Mountain Asia

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外文摘要：Mountains are important suppliers of freshwater to downstream areas,affecting large populations in particular in High Mountain Asia(HMA).Yet,the propagation of water from HMA headwaters to downstream areas is not fully understood,as interactions in the mountain water cycle between the cryo-,hydro-and biosphere remain elusive.We review the definition of blue and green water fluxes as liquid water that contributes to runoff at the outlet of the selected domain(blue)and water lost to the atmosphere through vapor fluxes,that is evaporation from water,ground,and interception plus transpiration(green)and propose to add the term white water to account for the(often neglected)evaporation and sublimation from snow and ice.We provide an assessment of models that can simulate the cryo-hydro-biosphere continuum and the interactions between spheres in high mountain catchments,going beyond disciplinary separations.Land surface models are uniquely able to account for such complexity,since they solve the coupled fluxes of water,energy,and carbon between the land surface and atmosphere.Due to the mechanistic nature of such models,specific variables can be compared systematically to independent remote sensing observations-providing vital insights into model accuracy and enabling the understanding of the complex watersheds of HMA.We discuss recent developments in spaceborne earth observation products that have the potential to support catchment modeling in high mountain regions.We then present a pilot study application of the mechanistic land surface model Tethys & Chloris to a glacierized watershed in the Nepalese Himalayas and discuss the use of high-resolution earth observation data to constrain the meteorological forcing uncertainty and validate model results.We use these insights to highlight the remaining challenges and future opportunities that remote sensing data presents for land surface modeling in HMA.

外文关键词：

Land surface modelingremote sensingHigh Mountain Asia(HMA)blue-green watercryosphere-hydrosphere-biosphere continuumsnowglaciershigh mountain water cycle

作者：

Pascal Buri、Simone Fatichi、Thomas E.Shaw、Catriona L.Fyffe、Evan S.Miles、Michael J.McCarthy、Marin Kneib、Shaoting Ren、Achille Jouberton、Stefan Fugger、Li Jia、Jing Zhang、Cong Shen、Chaolei Zheng、Massimo Menenti、Francesca Pellicciotti

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作者单位：

Swiss Federal Institute for Forest,Snow and Landscape Research WSL,Birmensdorf,Switzerland

Department of Civil and Environmental Engineering,National University of Singapore,Singapore,Singapore

Institute of Science and Technology Austria(ISTA),Klosterneuburg,Austria

Institute of Environmental Geosciences,Université Grenoble Alpes,Grenoble,France

Department of Atmospheric and Cryospheric Sciences,University of Innsbruck,Innsbruck,Austria

State Key Laboratory of Tibetan Plateau Earth System,Environment and Resources(TPESER),Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing,China

Institute of Environmental Engineering,ETH Zurich,Zurich,Switzerland

State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,China

National Space Sciences Center,Chinese Academy of Sciences,Beijing,China

Faculty of Civil Engineering and Geosciences,Delft University of Technology,Delft,The Netherlands

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出版年：

2024

DOI：

10.1080/10095020.2024.2330546

地球空间信息科学学报(英文版)

武汉大学（原武汉测绘科技大学）

地球空间信息科学学报(英文版)

影响因子：0.207

ISSN：1009-5020

年,卷(期)：2024.27(3)