S
Sujan Koirala
Researcher at Max Planck Society
Publications - 58
Citations - 4462
Sujan Koirala is an academic researcher from Max Planck Society. The author has contributed to research in topics: Environmental science & Surface runoff. The author has an hindex of 16, co-authored 41 publications receiving 3027 citations. Previous affiliations of Sujan Koirala include University of Tokyo & Tokyo Institute of Technology.
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Journal ArticleDOI
Global flood risk under climate change
Yukiko Hirabayashi,Roobavannan Mahendran,Sujan Koirala,Lisako Konoshima,Dai Yamazaki,Satoshi Watanabe,Hyungjun Kim,Shinjiro Kanae +7 more
TL;DR: This article used several climate models to estimate the global risk of flooding at the end of the century and showed that vulnerability is dependent on the degree of warming and the interannual variability in precipitation.
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Multimodel Estimate of the Global Terrestrial Water Balance: Setup and First Results
Ingjerd Haddeland,Douglas B. Clark,Wietse Franssen,Fulco Ludwig,Frank Voß,Nigel W. Arnell,Nathalie Bertrand,Martin Best,Sonja S. Folwell,Dieter Gerten,Sandra Gomes,Simon N. Gosling,Stefan Hagemann,Naota Hanasaki,Richard Harding,Jens Heinke,Pavel Kabat,Sujan Koirala,Taikan Oki,Jan Polcher,Tobias Stacke,Pedro Viterbo,Graham P. Weedon,Pat J.-F. Yeh +23 more
TL;DR: The Water Model Intercomparison Project (WaterMIP) as discussed by the authors was the first attempt to compare simulation results of these different classes of models in a consistent way, and the results showed that differences between models are a major source of uncertainty.
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The FLUXCOM ensemble of global land-atmosphere energy fluxes
Martin Jung,Sujan Koirala,Ulrich Weber,Kazuhito Ichii,Kazuhito Ichii,Fabian Gans,Gustau Camps-Valls,Dario Papale,Christopher R. Schwalm,Gianluca Tramontana,Markus Reichstein +10 more
TL;DR: In this article, the authors use machine learning to merge energy flux measurements from FLUXNET eddy covariance towers with remote sensing and meteorological data to estimate global gridded net radiation, latent and sensible heat and their uncertainties.
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Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach
Martin Jung,Christopher R. Schwalm,Mirco Migliavacca,Sophia Walther,Gustau Camps-Valls,Sujan Koirala,Peter Anthoni,Simon Besnard,Simon Besnard,Paul Bodesheim,Paul Bodesheim,Nuno Carvalhais,Nuno Carvalhais,Frédéric Chevallier,Fabian Gans,Daniel S. Goll,Vanessa Haverd,Philipp Köhler,Kazuhito Ichii,Atul K. Jain,Junzhi Liu,Junzhi Liu,Danica Lombardozzi,Julia E. M. S. Nabel,Jacob A. Nelson,Michael O'Sullivan,Martijn Pallandt,Dario Papale,Dario Papale,Wouter Peters,Julia Pongratz,Julia Pongratz,Christian Rödenbeck,Stephen Sitch,G. Tramontana,G. Tramontana,Anthony P. Walker,Ulrich Weber,Markus Reichstein +38 more
TL;DR: In this paper, the authors provide a systematic assessment of the latest upscaling efforts for gross primary production (GPP) and net ecosystem exchange (NEE) of the FLUXCOM initiative, where different machine learning methods and sets of predictor variables were employed.
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Incorporating anthropogenic water regulation modules into a land surface model
Yadu Pokhrel,Naota Hanasaki,Sujan Koirala,Jaeil Cho,Pat J.-F. Yeh,Hyungjun Kim,Hyungjun Kim,Shinjiro Kanae,Taikan Oki +8 more
TL;DR: In this paper, the impacts of anthropogenic activities on the terrestrial water cycle using the framework of land surface models (LSMs) and global terrestrial hydrological models (GHMs) are simulated.