Articles | Volume 386
https://doi.org/10.5194/piahs-386-75-2024
https://doi.org/10.5194/piahs-386-75-2024
Post-conference publication
 | 
19 Apr 2024
Post-conference publication |  | 19 Apr 2024

Uncertainty in simulated streamflow using runoff driven by the outputs of a high-resolution regional climate model

Aulia Febianda Anwar Tinumbang, Kazuaki Yorozu, Yasuto Tachikawa, Yutaka Ichikawa, Hidetaka Sasaki, and Tosiyuki Nakaegawa

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Cited articles

Beck, H. E., van Dijk, A. I. J. M., de Roo, A., Dutra, E., Fink, G., Orth, R., and Schellekens, J.: Global evaluation of runoff from 10 state-of-the-art hydrological models, Hydrol. Earth Syst. Sci., 21, 2881–2903, https://doi.org/10.5194/hess-21-2881-2017, 2017. 
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S., Husak, G., Rowland, J., Harrison, L., Hoell, A., and Michaelsen, J.: The climate hazards infrared precipitation with stations-a new environmental record for monitoring extremes, Sci. Data, 2, 1–21, https://doi.org/10.1038/sdata.2015.66, 2015. 
Hirabayashi, Y., Tanoue, M., Sasaki, Xudong, Z., and Yamazaki, D.: Global exposure to flooding from the new CMIP6 climate model projections, Sci. Rep., 11, 3740, https://doi.org/10.1038/s41598-021-83279-w, 2021. 
Hirai, M., Sakashita, T., Kitagawa, H., Tsuyuki, T., Hosaka, M., and Oh'izumi, M.: Development and Validation of a New Land Surface Model for JMA's Operational Global Model Using the CEOP Observation Dataset, J. Meteor. Soc. Jpn., 85A, 1–24, https://doi.org/10.2151/jmsj.85A.1, 2007. 
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Short summary
Estimating how much river flow will change because of global warming is important for mitigating water-related disasters. The uncertainty of streamflow simulated using the outputs of a high-resolution regional climate model with 5 and 2 km was investigated here. The variation in rainfall spatial patterns and runoff characteristics affected the simulated streamflow. Assessing climate change's effects on water-related disasters requires more accurate rainfall and runoff data.