Papers of note: Unleashing an automated mobile weather prediction system

Anthony J. Schroeder, D. R. Stauffer, N. L. Seaman, A. Deng, A. M. Gibbs, G. K. Hunter, G. S. Young

Research output: Contribution to journalArticle

Abstract

Short-term meteorological forecasts and nowcasts are gaining importance for both economic and societal purposes, as well as gaining importance for military and defense applications. In response, an automated, rapidly relocatable nowcasting and prediction system has been developed at PSU. This Rapidly Relocatable Nowcast-Prediction System (RRNPS) provides a continuous stream of highly detailed nowcasts and uses extensive C-shell scripts to automate the data transfers and execution of all program modules. In the army profiler application, this RRNPS produces a real-time up-to-the-minute model nowcast every half hour. Its performance was evaluated using subjective and statistical methods and yields further insight into the value added by FDDA in RRNPS nowcasts. Furthermore, statistics show that the use of continuous FDDA improves the accuracy of the RRNPS nowcasts and will provide immediately available forecast-analysis products.

Original languageEnglish (US)
Pages (from-to)878-880
Number of pages3
JournalBulletin of the American Meteorological Society
Volume87
Issue number7
StatePublished - Jul 1 2006

Fingerprint

weather
prediction
nowcasting
profiler
shell
economics
forecast

All Science Journal Classification (ASJC) codes

  • Atmospheric Science

Cite this

Schroeder, A. J., Stauffer, D. R., Seaman, N. L., Deng, A., Gibbs, A. M., Hunter, G. K., & Young, G. S. (2006). Papers of note: Unleashing an automated mobile weather prediction system. Bulletin of the American Meteorological Society, 87(7), 878-880.
Schroeder, Anthony J. ; Stauffer, D. R. ; Seaman, N. L. ; Deng, A. ; Gibbs, A. M. ; Hunter, G. K. ; Young, G. S. / Papers of note : Unleashing an automated mobile weather prediction system. In: Bulletin of the American Meteorological Society. 2006 ; Vol. 87, No. 7. pp. 878-880.
@article{8748c4484ae14ef88cd37c1a49a9d50f,
title = "Papers of note: Unleashing an automated mobile weather prediction system",
abstract = "Short-term meteorological forecasts and nowcasts are gaining importance for both economic and societal purposes, as well as gaining importance for military and defense applications. In response, an automated, rapidly relocatable nowcasting and prediction system has been developed at PSU. This Rapidly Relocatable Nowcast-Prediction System (RRNPS) provides a continuous stream of highly detailed nowcasts and uses extensive C-shell scripts to automate the data transfers and execution of all program modules. In the army profiler application, this RRNPS produces a real-time up-to-the-minute model nowcast every half hour. Its performance was evaluated using subjective and statistical methods and yields further insight into the value added by FDDA in RRNPS nowcasts. Furthermore, statistics show that the use of continuous FDDA improves the accuracy of the RRNPS nowcasts and will provide immediately available forecast-analysis products.",
author = "Schroeder, {Anthony J.} and Stauffer, {D. R.} and Seaman, {N. L.} and A. Deng and Gibbs, {A. M.} and Hunter, {G. K.} and Young, {G. S.}",
year = "2006",
month = "7",
day = "1",
language = "English (US)",
volume = "87",
pages = "878--880",
journal = "Bulletin of the American Meteorological Society",
issn = "0003-0007",
publisher = "American Meteorological Society",
number = "7",

}

Schroeder, AJ, Stauffer, DR, Seaman, NL, Deng, A, Gibbs, AM, Hunter, GK & Young, GS 2006, 'Papers of note: Unleashing an automated mobile weather prediction system', Bulletin of the American Meteorological Society, vol. 87, no. 7, pp. 878-880.

Papers of note : Unleashing an automated mobile weather prediction system. / Schroeder, Anthony J.; Stauffer, D. R.; Seaman, N. L.; Deng, A.; Gibbs, A. M.; Hunter, G. K.; Young, G. S.

In: Bulletin of the American Meteorological Society, Vol. 87, No. 7, 01.07.2006, p. 878-880.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Papers of note

T2 - Unleashing an automated mobile weather prediction system

AU - Schroeder, Anthony J.

AU - Stauffer, D. R.

AU - Seaman, N. L.

AU - Deng, A.

AU - Gibbs, A. M.

AU - Hunter, G. K.

AU - Young, G. S.

PY - 2006/7/1

Y1 - 2006/7/1

N2 - Short-term meteorological forecasts and nowcasts are gaining importance for both economic and societal purposes, as well as gaining importance for military and defense applications. In response, an automated, rapidly relocatable nowcasting and prediction system has been developed at PSU. This Rapidly Relocatable Nowcast-Prediction System (RRNPS) provides a continuous stream of highly detailed nowcasts and uses extensive C-shell scripts to automate the data transfers and execution of all program modules. In the army profiler application, this RRNPS produces a real-time up-to-the-minute model nowcast every half hour. Its performance was evaluated using subjective and statistical methods and yields further insight into the value added by FDDA in RRNPS nowcasts. Furthermore, statistics show that the use of continuous FDDA improves the accuracy of the RRNPS nowcasts and will provide immediately available forecast-analysis products.

AB - Short-term meteorological forecasts and nowcasts are gaining importance for both economic and societal purposes, as well as gaining importance for military and defense applications. In response, an automated, rapidly relocatable nowcasting and prediction system has been developed at PSU. This Rapidly Relocatable Nowcast-Prediction System (RRNPS) provides a continuous stream of highly detailed nowcasts and uses extensive C-shell scripts to automate the data transfers and execution of all program modules. In the army profiler application, this RRNPS produces a real-time up-to-the-minute model nowcast every half hour. Its performance was evaluated using subjective and statistical methods and yields further insight into the value added by FDDA in RRNPS nowcasts. Furthermore, statistics show that the use of continuous FDDA improves the accuracy of the RRNPS nowcasts and will provide immediately available forecast-analysis products.

UR - http://www.scopus.com/inward/record.url?scp=33747033951&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33747033951&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:33747033951

VL - 87

SP - 878

EP - 880

JO - Bulletin of the American Meteorological Society

JF - Bulletin of the American Meteorological Society

SN - 0003-0007

IS - 7

ER -

Schroeder AJ, Stauffer DR, Seaman NL, Deng A, Gibbs AM, Hunter GK et al. Papers of note: Unleashing an automated mobile weather prediction system. Bulletin of the American Meteorological Society. 2006 Jul 1;87(7):878-880.