Publikationen von Sujan Koirala

Fan, N.; Koirala, S.; Reichstein, M.; Thurner, M.; Avitabile, V.; Santoro, M.; Ahrens, B.; Weber, U.; Carvalhais, N.: Apparent ecosystem carbon turnover time: uncertainties and robust features. Earth System Science Data 12 (4), S. 2517 - 2536 (2020)

Jenny, J.-P.; Koirala, S.; Gregory-Eaves, I.; Francus, P.; Niemann, C.; Ahrens, B.; Brovkin, V.; Baud, A.; Ojala, A. E. K.; Normandeau, A. et al.; Zolitschka, B.; Carvalhais, N.: Human and climate global-scale imprint on sediment transfer during the Holocene. Proceedings of the National Academy of Sciences of the United States of America 116 (46), S. 22972 - 22976 (2019)

Jung, M.; Koirala, S.; Weber, U.; Ichii, K.; Gans, F.; Camps-Valls, G.; Papale, D.; Schwalm, C.; Tramontana, G.; Reichstein, M.: The FLUXCOM ensemble of global land-atmosphere energy fluxes. Scientific Data 6, 74 (2019)

Koirala, S.; Kim, H.; Hirabayashi, Y.; Kanae, S.; Oki, T.: Sensitivity of global hydrological simulations to groundwater capillary flux parameterizations. Water Resources Research 55 (1), S. 402 - 425 (2019)

Trautmann, T.; Koirala, S.; Carvalhais, N.; Eicker, A.; Fink, M.; Niemann, C.; Jung, M.: Understanding terrestrial water storage variations in northern latitudes across scales. Hydrology and Earth System Sciences 22 (7), S. 4061 - 4082 (2018)

Lim, W. H.; Yamazaki, D.; Koirala, S.; Hirabayashi, Y.; Kanae, S.; Dadson, S. J.; Hall, J. W.; Sun, F.: Long‐term changes in global socioeconomic benefits of flood defenses and residual risk based on CMIP5 climate models. Earth's Future 6 (7), S. 938 - 954 (2018)

Koirala, S.; Jung, M.; Reichstein, M.; de Graaf, I. E. M.; Camps-Valls, G.; Ichii, K.; Papale, D.; Raduly, B.; Schwalm, C. R.; Tramontana, G. et al.; Carvalhais, N.: Global distribution of groundwater-vegetation spatial covariation. Geophysical Research Letters 44 (9), S. 4134 - 4142 (2017)

Ikeuchi, H.; Hirabayashi, Y.; Yamazaki, D.; Kiguchi, M.; Koirala, S.; Nagano, T.; Kotera, A.; Kanae, S.: Modeling complex flow dynamics of fluvial floods exacerbated by sea level rise in the Ganges-Brahmaputra-Meghna Delta. Environmental Research Letters 10 (12), 124011 (2015)

Pokhrel, Y. N.; Koirala, S.; Yeh, P. J. -.; Hanasaki, N.; Longuevergne, L.; Kanae, S.; Oki, T.: Incorporation of groundwater pumping in a global land surface model with the representation of human impacts. Water Resources Research 51 (1), S. 78 - 96 (2015)

Koirala, S.; Hirabayashi, Y.; Mahendran, R.; Kanae, S.: Global assessment of agreement among streamflow projections using CMIP5 model outputs. Environmental Research Letters 9 (6), 064017 (2014)

Koirala, S.; Yeh, P. J.-F.; Hirabayashi, Y.; Kanae, S.; Oki, T.: Global-scale land surface hydrologic modeling with the representation of water table dynamics. Journal of Geophysical Research: Atmospheres 119 (1), S. 75 - 89 (2014)

Kraft, B.; Besnard, S.; Koirala, S.: Emulating ecological memory with recurrent neural networks. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, S. 269 - 281 (Hg. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)

Poehls, J.; Silva, L. A.; Koirala, S.; Carvalhais, N.; Reichstein, M.: Downscaling soil moisture to sub-km resolutions with simple machine learning ensembles. (2024)

Wang, S.; Yang, H.; Koirala, S.; Forkel, M.; Reichstein, M.; Carvalhais, N.: Understanding disturbance regimes from patterns in biomass and primary productivity. (2022)