Radar Quantitative Precipitation Estimation Based on the Gated Recurrent Unit Neural Network and Echo-Top Data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00376-022-2127-x.pdf
Reference53 articles.
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2. Alfieri, L., P. Claps, and F. Laio, 2010: Time-dependent Z-R relationships for estimating rainfall fields from radar measurements. Natural Hazards and Earth System Sciences, 10, 149–158, https://doi.org/10.5194/nhess-10-149-2010.
3. Atlas, D., D. Rosenfeld, and D. A. Short, 1990: The estimation of convective rainfall by area integrals. 1. The theoretical and empirical basis. J. Geophys. Res.: Atmos., 95, 2153–2160, https://doi.org/10.1029/JD095iD03p02153.
4. Bracci, A., and Coauthors, 2022: Quantitative precipitation estimation over Antarctica using different Ze-SR relationships based on snowfall classification combining ground observations. Remote Sensing, 14, 82, https://doi.org/10.3900/RS14010082.
5. Bringi, V. N., M. A. Rico-Ramirez, and M. Thurai, 2011: Rainfall estimation with an operational polarimetric C-band radar in the United Kingdom: Comparison with a gauge network and error analysis. Journal of Hydrometeorology, 12, 935–954, https://doi.org/10.1175/JHM-D-10-05013.1.
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