Impact of Quikscat data on numerical weather prediction

被引：0

作者：

Atlas, R ^{[1
]}

Bloom, SC ^{[1
]}

Ardizzone, J ^{[1
]}

Brin, E ^{[1
]}

Terry, J ^{[1
]}

Yu, TW ^{[1
]}

机构：

[1] NASA, Goddard Space Flight Ctr, Data Assimilat Off, Greenbelt, MD 20771 USA

来源：

OCEAN REMOTE SENSING AND IMAGING II | 2003年 / 5155卷

关键词：

scatterometer; weather prediction; microwave remote sensing applications;

D O I：

10.1117/12.505896

中图分类号：

P7 [海洋学];

学科分类号：

0707 ;

摘要：

The SeaWinds scatterometer (like NSCAT and ERS) is able to detect unequivocal signatures of meteorological features including cyclones, fronts, anticyclones, easterly waves and other precursors of hurricanes and typhoons. Through collaborative efforts between NASA and NOAA, National Weather Service marine forecasters are using SeaWinds data to improve analyses, forecasts and significant weather warnings for maritime interests. This results in substantial economic savings as well as the reduction of weather related loss of life at sea. The impact of SeaWinds on Numerical Weather Prediction models is on average modest but occasionally results in significant forecast improvements.

引用

页码：211 / 215

页数：5

共 50 条

[21] The impact of targeted satellite observations on numerical weather prediction
Dando, M. L.
Thorpe, A. J.
Eyre, J. R.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2007, 133 (629) : 1945 - 1957
[22] USE OF SATELLITE DATA IN OPERATIONAL NUMERICAL WEATHER PREDICTION
KISTLER, RE
MCPHERSON, RD
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1984, 481 : 92 - 99
[23] Big Ensemble Data Assimilation in Numerical Weather Prediction
Miyoshi, Takemasa
Kondo, Keiichi
Terasaki, Koji
COMPUTER, 2015, 48 (11) : 15 - 21
[24] EVALUATION OF DATA ASSIMILATION ON NUMERICAL WEATHER PREDICTION FOR EGYPT
Badr, H. S.
Elhadidi, B. M.
Sherif, A. O.
2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 3526 - 3529
[25] Continuous data assimilation for global numerical weather prediction
Lean, P.
Holm, E. V.
Bonavita, M.
Bormann, N.
McNally, A. P.
Jarvinen, H.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2021, 147 (734) : 273 - 288
[26] On the use of QuikSCAT scatterometer measurements of surface winds for marine weather prediction
Chelton, Dudley B.
Freilich, Michael H.
Sienkiewicz, Joseph M.
Von Ahn, Joan M.
MONTHLY WEATHER REVIEW, 2006, 134 (08) : 2055 - 2071
[27] Monitoring marine weather systems using QuikSCAT and TRMM data
Liu, WT
Tang, WQ
Datta, A
Hsu, CS
FOURTH SYMPOSIUM ON INTEGRATED OBSERVING SYSTEMS, 2000, : 94 - 97
[28] The impact of current and future polar orbiting satellite data on numerical weather prediction at NASA/GSFC
Atlas, R
APPLICATIONS WITH WEATHER SATELLITES II, 2005, 5658 : 132 - 143
[29] Conceptualizing the Impact of Dust-Contaminated Infrared Radiances on Data Assimilation for Numerical Weather Prediction
Marquis, Jared W.
Oyola, Mayra, I
Campbell, James R.
Ruston, Benjamin C.
Cordoba-Jabonero, Carmen
Cuevas, Emilio
Lewis, Jasper R.
Toth, Travis D.
Zhang, Jianglong
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2021, 38 (02) : 209 - 221
[30] Impact of GPS and TMI precipitable water data on mesoscale numerical weather prediction model forecasts
Koizumi, K
Sato, Y
JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2004, 82 (1B) : 453 - 457

← 1 2 3 4 5 →