Loading [MathJax]/jax/output/HTML-CSS/fonts/TeX/fontdata.js
Articles | Volume 386
https://doi.org/10.5194/piahs-386-217-2024
https://doi.org/10.5194/piahs-386-217-2024
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Long-range streamflow prediction using a distributed hydrological model in a snowfed watershed

Abdul Moiz and Akiyuki Kawasaki

Cited articles

JMA – Japan Meteorological Agency: AMeDAS station air temperature dataset, https://www.data.jma.go.jp/gmd/risk/obsdl/index.php, last access: 5 November 2020. 
JMA – Japan Meteorological Agency: Radar-AMeDAS precipitation dataset, http://database.rish.kyoto-u.ac.jp/arch/jmadata/data/jma-radar/synthetic/original/, last access: 9 August 2021. 
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi, K., Kamahori, H., Kobayashi, C., Endo, H., and Miyaoka, K.: The JRA-55 reanalysis: General specifications and basic characteristics, J. Meteorol. Soc. Jpn. Ser. II, 93, 5–48, https://doi.org/10.2151/jmsj.2015-001, 2015. 
Koster, R. D., Mahanama, S. P. P., Livneh, B., Lettenmaier, D. P., and Reichle, R. H.: Skill in streamflow forecasts derived from large-scale estimates of soil moisture and snow, Nat. Geosci., 3, 613–616, https://doi.org/10.1038/ngeo944, 2010. 
Moiz, A., Zhongwang, W., Naseer, A., Kawasaki, A., Acierto, R. A., and Koike, T.: Improving snow-process modeling by evaluating reanalysis vertical temperature profiles using a distributed hydrological model, J. Geophys. Res.-Atmos., 127, e2021JD036174, https://doi.org/10.1029/2021JD036174, 2022. 
Download
Short summary
In this research we evaluate the skill of long-range forecasts generated using a...