Imminent Nowcasting for Severe Rainfall Using Vertically Integrated Liquid Water Content Derived from X-Band Polarimetric Radar
Author:
Affiliation:
1. National Research Institute for Earth Science and Disaster Resilience, Tsukuba, Japan
2. Kagoshima University, Kagoshima, Japan
Publisher
Meteorological Society of Japan
Subject
Atmospheric Science
Link
https://www.jstage.jst.go.jp/article/jmsj/96A/0/96A_2018-028/_pdf
Reference41 articles.
1. Amburn, S. A., and P. L. Wolf, 1997: VIL density as a hail indicator. Wea. Forecasting, 12, 473-478.
2. American Meteorological Society, 2017: Nowcast. Glossary of Meteorology. [Available at http://glossary.ametsoc.org/wiki/Nowcast.]
3. Boudevillain, B., and H. Andrieu, 2003: Assessment of vertically integrated liquid (VIL) water content radar measurement. J. Atmos. Oceanic Technol., 20, 807-819.
4. Boudevillain, B., H. Andrieu, and N. Chaumerliac, 2006: Evaluation of RadVil, a radar-based very short-term rainfall forecasting model. J. Hydrometeor., 7, 178-189.
5. Bringi, V. N., V. Chandrasekar, D. Zrnić, and C. W. Ulbrich, 2003: Comments on “The need to represent raindrop size spectra as normalized gamma distributions for the interpretation of polarization radar observations”. J. Appl. Meteor., 42, 1184-1189.
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