Articles | Volume 12, issue 12
https://doi.org/10.5194/gmd-12-5267-2019
https://doi.org/10.5194/gmd-12-5267-2019
Model description paper
 | 
17 Dec 2019
Model description paper |  | 17 Dec 2019

WAYS v1: a hydrological model for root zone water storage simulation on a global scale

Ganquan Mao and Junguo Liu

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Cited articles

Adamson, P. T., Rutherfurd, I. D., Peel, M. C., and Conlan, I. A.: The Hydrology of the Mekong River, chap. 4, in: The Mekong, edited by: Campbell, I. C., Aquatic Ecology, Academic Press, San Diego, 53–76, https://doi.org/10.1016/B978-0-12-374026-7.00004-8, 2009. a
Albergel, C., Dutra, E., Munier, S., Calvet, J.-C., Munoz-Sabater, J., de Rosnay, P., and Balsamo, G.: ERA-5 and ERA-Interim driven ISBA land surface model simulations: which one performs better?, Hydrol. Earth Syst. Sci., 22, 3515–3532, https://doi.org/10.5194/hess-22-3515-2018, 2018. a
Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS – global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 1161–1175, https://doi.org/10.5194/hess-17-1161-2013, 2013. a
Allen, R. G., Pereira, L. S., Raes, D., and Smith, M.: Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56, Fao, Rome, 300, D05109, 1998. a, b, c
Bai, P., Liu, X., Yang, T., Li, F., Liang, K., Hu, S., and Liu, C.: 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. a
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