Lessons Learned from the CSIS [Centralized Storm Information System] (Appendix D)

Frederick R. Mosher; Joseph T. Schaefer

Lessons Learned from the CSIS [Centralized Storm Information System] (Appendix D)

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Various attempts have been made to give up-to-the-minute meteorological observations to forecasters. However, the meteorologist's inability to assimilate all the real-time data is a significant barrier to the improvement of short-term forecasts and warnings. Historically, failure to resolve this problem has plagued mesoscale forecast experiments. This article discusses the joint effort of NWS, NESS, NASA, and SSEC to develop a system to aid the forecaster in evaluating data.

Original language	American English
Title of host publication	Centralized Storm Information System (CSIS)
State	Published - Apr 1 1985
Externally published	Yes

Keywords

meteorological observations
meteorological forecasting
mesoscale forecast

Disciplines

Meteorology

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Lessons Learned from the CSIS [Centralized Storm Information SystFinal published version, 3.19 MBLicense: CC BY

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title = "Lessons Learned from the CSIS [Centralized Storm Information System] (Appendix D)",

abstract = " Various attempts have been made to give up-to-the-minute meteorological observations to forecasters. However, the meteorologist's inability to assimilate all the real-time data is a significant barrier to the improvement of short-term forecasts and warnings. Historically, failure to resolve this problem has plagued mesoscale forecast experiments. This article discusses the joint effort of NWS, NESS, NASA, and SSEC to develop a system to aid the forecaster in evaluating data.",

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author = "Mosher, {Frederick R.} and Schaefer, {Joseph T.}",

year = "1985",

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AU - Schaefer, Joseph T.

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N2 - Various attempts have been made to give up-to-the-minute meteorological observations to forecasters. However, the meteorologist's inability to assimilate all the real-time data is a significant barrier to the improvement of short-term forecasts and warnings. Historically, failure to resolve this problem has plagued mesoscale forecast experiments. This article discusses the joint effort of NWS, NESS, NASA, and SSEC to develop a system to aid the forecaster in evaluating data.

AB - Various attempts have been made to give up-to-the-minute meteorological observations to forecasters. However, the meteorologist's inability to assimilate all the real-time data is a significant barrier to the improvement of short-term forecasts and warnings. Historically, failure to resolve this problem has plagued mesoscale forecast experiments. This article discusses the joint effort of NWS, NESS, NASA, and SSEC to develop a system to aid the forecaster in evaluating data.

KW - meteorological observations

KW - meteorological forecasting

KW - mesoscale forecast

UR - https://commons.erau.edu/publication/540

M3 - Chapter

BT - Centralized Storm Information System (CSIS)

ER -

Lessons Learned from the CSIS [Centralized Storm Information System] (Appendix D)

Abstract

Keywords

Disciplines

Access to Document

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Cite this