Editorial for the special edition on Global Precipitation Measurement (GPM): 5th Anniversary
Author:
Affiliation:
1. Graduate School of Science, Kyoto University, Kyoto, Japan
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/jmsj/100/2/100_2022-d/_pdf
Reference30 articles.
1. Aoki, S., and S. Shige, 2021: Large precipitation gradients along the south coast of Alaska revealed by spaceborne radars. J. Meteor. Soc. Japan, 99, 5-25.
2. Aonashi, K., T. Tashima, T. Kubota, and K. Okamoto, 2021: Introduction of a mixed lognormal probability distribution function and a new displacement correction method for precipitation to the ensemble-based variational assimilation of the all-sky microwave imager brightness temperatures. J. Meteor. Soc. Japan, 99, 1201-1230.
3. Arias, I., and V. Chandrasekar, 2021: Cross validation of the network of ground-based radar with GPM during the Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) field campaign. J. Meteor. Soc. Japan, 99, 1423-1438.
4. Awaka, J., M. Le, S. Brodzik, T. Kubota, T. Masaki, V. Chandrasekar, and T. Iguchi, 2021: Development of precipitation type classification algorithms for a full scan mode of GPM Dual-frequency Precipitation Radar. J. Meteor. Soc. Japan, 99, 1253-1270.
5. Barreyat, M., P. Chambon, J.-F. Mahfouf, G. Faure, and Y. Ikuta, 2021: A 1D Bayesian inversion applied to GPM Microwave Imager observations: Sensitivity studies. J. Meteor. Soc. Japan, 99, 1045-1070.
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