Articles | Volume 25, issue 6
Hydrol. Earth Syst. Sci., 25, 3087–3104, 2021
https://doi.org/10.5194/hess-25-3087-2021
Hydrol. Earth Syst. Sci., 25, 3087–3104, 2021
https://doi.org/10.5194/hess-25-3087-2021

Research article 09 Jun 2021

Research article | 09 Jun 2021

Global component analysis of errors in three satellite-only global precipitation estimates

Hanqing Chen et al.

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Cited articles

AghaKouchak, A., Behrangi, A., Sorooshian, S., Hsu, K., and Amitai, E.: Evaluation of satellite retrieved extreme precipitation rates across the central United States, J. Geophys., Res.-Atmos., 116, D02115, https://doi.org/10.1029/2010JD014741, 2011. 
AghaKouchak, A., Mehran, A., Norouzi, H., and Behrangi, A.: Systematic and random error components in satellite precipitation data sets, Geophys. Res. Lett., 39, L09406, https://doi.org/10.1029/2012GL051592, 2012. 
Baez-Villanueva, O. M., Zambrano-Bigiarini, M., Beck, H. E., McNamara, I., Ribbe, L., Nauditt, A., Birkel, C., Verbist, K., Giraldo-Osorio, J. D., and Thinh, N. X.: RF-MEP: A novel random forest method for merging gridded precipitation products and ground-based measurements, Remote Sens. Environ., 239, 111606, https://doi.org/10.1016/j.rse.2019.111606, 2020. 
Beck, H. E., Vergopolan, N., Pan, M., Levizzani, V., van Dijk, A. I. J. M., Weedon, G. P., Brocca, L., Pappenberger, F., Huffman, G. J., and Wood, E. F.: Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling, Hydrol. Earth Syst. Sci., 21, 6201–6217, https://doi.org/10.5194/hess-21-6201-2017, 2017. 
Beck, H. E., Pan, M., Roy, T., Weedon, G. P., Pappenberger, F., van Dijk, A. I. J. M., Huffman, G. J., Adler, R. F., and Wood, E. F.: Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS, Hydrol. Earth Syst. Sci., 23, 207–224, https://doi.org/10.5194/hess-23-207-2019, 2019. 
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