A comprehensive assessment of satellite precipitation products over a semi-arid region: focus on extreme events
Author:
Funder
OCP Group
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-06317-y.pdf
Reference63 articles.
1. Abdi, H. (2010). Coefficient of Variation. https://personal.utdallas.edu/~herve/abdi-cv2010-pretty.pdf
2. Aghakouchak A, Behrangi A, Sorooshian S, Hsu K, Amitai E (2011) Evaluation of satellite-retrieved extreme precipitation rates across the central United States. J Geophys Res Atmos. https://doi.org/10.1029/2010JD014741
3. Alijanian M, Rakhshandehroo GR, Mishra A, Dehghani M (2019) Evaluation of remotely sensed precipitation estimates using PERSIANN-CDR and MSWEP for Spatio-temporal drought assessment over Iran. J Hydrol. https://doi.org/10.1016/J.JHYDROL.2019.124189
4. Bai X, Wang P, He Y, Zhang Z, Wu X (2021) Assessing the accuracy and drought utility of long-term satellite-based precipitation estimation products using the triple collocation approach. J Hydrol 603:127098. https://doi.org/10.1016/J.JHYDROL.2021.127098
5. Baig F, Abrar M, Chen H, Sherif M (2023) Evaluation of precipitation estimates from remote sensing and artificial neural network based products (PERSIANN) family in an Arid Region. Remote Sens. https://doi.org/10.3390/rs15041078
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