Precipitation distributions from microwave and sferics data and a mesoscale weather prediction model

Author

Chang, D.-E. ; Weinman, J.A. ; Morales, C.A.

Author_Institution

Univ. Space Res. Assoc., NASA Goddard Space Flight Center, Greenbelt, MD, USA

Volume

4

fYear

1999

fDate

1999

Firstpage

2072

Abstract

Precipitation distributions of convective rainfall events are derived from SSM/I and TMI microwave radiometric data. Histograms of coincident sferics frequency distributions are matched to those of precipitation to develop a relationship between sferics and rainfall rates. That regression between sferics and rainfall rates is used to derive convective rainfall rates from the continuously available sferics measurements at those times when no satellite data were available. Those continuous convective rainfall data are then used in a mesoscale weather forecast model to derive and predict all rainfall as well as other weather parameters. The inferred rainfall distributions are compared to those from a NWS radar network and spaceborne microwave measurements obtained from the Feb. 2-3, 1998 storm along the U.S. Gulf coast

Keywords

atmospheric precipitation; atmospheric techniques; atmospherics; radiometry; rain; remote sensing; weather forecasting; atmosphere; convective rainfall event; distribution; measurement technique; mesoscale weather prediction model; meteorology; microwave radiometry; precipitation; rain; rainfall; regression; remote sensing; sferics; weather forecasting; Frequency; Histograms; Microwave measurements; Microwave radiometry; Predictive models; Radar measurements; Satellite broadcasting; Spaceborne radar; Storms; Weather forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International

Conference_Location

Hamburg

Print_ISBN

0-7803-5207-6

Type

conf

DOI

10.1109/IGARSS.1999.775035

Filename

775035