Spatial pattern of bias in areal rainfall estimations and its impact on hydrological modeling: a comparative analysis of estimating areal rainfall based on radar and weather station networks in South Korea-Reference-Cited by-同舟云学术

Spatial pattern of bias in areal rainfall estimations and its impact on hydrological modeling: a comparative analysis of estimating areal rainfall based on radar and weather station networks in South Korea

Published:2024-04-12 Issue:7 Volume:38 Page:2797-2813
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

So Byung-Jin,Kim Hyung-Suk,Kwon Hyun-Han

Funder

Korea Environmental Industry and Technology Institute

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00477-024-02714-2.pdf

Reference50 articles.

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2. Akgül MA, Aksu H (2021) Areal precipitation estimation using satellite derived rainfall data over an irrigation area. Turk J Agric Food Sci Technol 9(2):386–394. https://doi.org/10.24925/turjaf.v9i2.386-394.4061

3. Berne A, Krajewski WF (2013) Radar for hydrology: Unfulfilled promise or unrecognized potential? Adv Water Resour 51:357–366. https://doi.org/10.1016/j.advwatres.2012.05.005

4. Bližňák V, Pokorná L, Rulfová Z (2022) Assessment of the capability of modern reanalyses to simulate precipitation in warm months using adjusted radar precipitation. J Hydrol Reg Stud 42:101121. https://doi.org/10.1016/J.EJRH.2022.101121

5. Chen T, Ren L, Yuan F, Yang X, Jiang S, Tang T, Liu Y, Zhao C, Zhang L (2017) Comparison of spatial interpolation schemes for rainfall data and application in hydrological modeling. Water (Switzerland) 9(5):342. https://doi.org/10.3390/w9050342

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