Utilization of GOES Rapid-Scan Wind Data for Tropical Cyclone Predictability Experiments

Velden, Christopher S.

Utilization of GOES Rapid-Scan Wind Data for Tropical Cyclone Predictability Experiments

Active / Technical Report | Accession Number: ADA541637 |

Abstract:

The overarching goal is to obtain special data sets of geostationary satellite rapid-scan RS atmospheric motion vectors AMV to assimilate and test for improvements in NAVY global numerical model NOGAPS forecasts of tropical cyclones TC using targeting information provided by NRL-MRY. There is the potential for forecast benefits with the RS-AMV since the higher image frequency yields more accurate observations in comparison to routinely-produced AMV data. This is the motivation for this investigation.

Author(s):

Velden, Christopher S.

Author Organization(s):

WISCONSIN UNIV-MADISON

Descriptive Note:

Annual rept.

Supplementary Note:

code 1 only. DOI: 10.21236/ADA541637

Pagination:

0005

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:

Approved For Public Release

Distribution Statement:

Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR

Identifying Numbers

Contract/Grant Number(s):

N00014-05-1-0494

Monitor Series:

ONR

Subject Terms

Joint Capability Areas:

JCA_1.2.7_Experimentation; JCA_5_Command and Control; JCA_5.3_Planning; JCA_8_Building Partnerships

Modernization Areas:

Space

Communities of Interest:

Space

Descriptor(s):

*MATHEMATICAL PREDICTION, *TROPICAL CYCLONES, FREQUENCY, GLOBAL, PREDICTIONS, NAVY, ACCURACY, IMAGES, YIELD, TARGETING, MOTIVATION, MATHEMATICAL MODELS, DATA BASES, FORECASTING

Field(s)/Group(s):

Meteorology, Statistics and Probability

Report Date:

2007 Sep 30

Creation Date:

2011 May 11