Access the full text.
Sign up today, get DeepDyve free for 14 days.
E. Rogers, T. Black, D. Deaven, G. Dimego, Qingyun Zhao, M. Baldwin, N. Junker, Ying Lin (1996)
Changes to the Operational ''Early'' Eta Analysis / Forecast System at the National Centers for Environmental PredictionWeather and Forecasting, 11
W. Jones, R. Mehershahi, J. Zec, D. Long (2000)
SeaWinds on QuikScat radiometric measurements and calibrationIGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 3
(2003)
SeaWinds data release notes
J. Tournadre, Y. Quilfen (2003)
Impact of rain cell on scatterometer data: 1. Theory and modelingJournal of Geophysical Research, 108
(2002)
SeaWinds science data product user’s manual, overview and geophysical data products
(2000)
2000a: Multidimensional histogram (MUDH) rain flag
V. Gerald (2003)
EVALUATION OF NCEP OPERATIONAL MODEL FORECASTS OF SURFACE WIND AND PRESSURE FIELDS OVER THE OCEANS Yu, T.-W.*, and V. M. Gerald Environmental Modeling Center, National Centers for Environmental Prediction
(1989)
Tropical Cyclone Report
D. Draper, D. Long (2004)
Simultaneous wind and rain retrieval using SeaWinds dataIEEE Transactions on Geoscience and Remote Sensing, 42
W. Jones, M. Susanj, J. Zec, Jun-Dong Park (2000)
Validation of QuikScat radiometric estimates of rain rateIGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 3
S. Yueh, B. Stiles, W. Liu (2003)
QuikSCAT wind retrievals for tropical cyclonesIGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2
T. Black (1994)
The new NMC mesoscale Eta Model: description and forecast examplesWeather and Forecasting, 9
Changes to the NCEP meso Eta analysis and forecast system : Assimilation of observed precipitation , upgrades to land - surface physics , modified 3 DVAR analysis
C. Grassotti, R. Hoffman, E. Vivoni, D. Entekhabi (2003)
Multiple-timescale intercomparison of two radar products and rain gauge observations over the Arkansas-Red River BasinWeather and Forecasting, 18
M. Freilich, R. Dunbar (1993)
Derivation of satellite wind model functions using operational surface wind analyses: An altimeter exampleJournal of Geophysical Research, 98
B. Stiles, B. Pollard, R. Dunbar (2000)
Direction interval retrieval with thresholded nudging: a method for improving the accuracy of QuikSCAT windsIGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 3
J. Huddleston, B. Stiles (2000)
A multidimensional histogram rain-flagging technique for SeaWinds on QuikSCATIGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120), 3
S. Shaffer, R. Dunbar, S. Hsiao, D. Long (1991)
A median-filter-based ambiguity removal algorithm for NSCATIEEE Trans. Geosci. Remote. Sens., 29
(1999)
QuikSCAT science data product
K. Shankaranarayanan, M. Donelan (2001)
A probabilistic approach to scatterometer model function verificationJournal of Geophysical Research, 106
(2000)
2000a: Detecting rain with QuikSCAT
F. Wentz, Deborah Smith (1999)
A model function for the ocean‐normalized radar cross section at 14 GHz derived from NSCAT observationsJournal of Geophysical Research, 104
(2000)
2000b: SeaWinds on QuikSCAT normalized objective function rain flag. Version 1.2, Remote Sensing
Robert Brown (2000)
On satellite scatterometer model functionsJournal of Geophysical Research, 105
Robert Brown (1983)
On a satellite scatterometer as an anemometerJournal of Geophysical Research, 88
To examine the accuracy of the SeaWinds scatterometer wind data and rain flags, and how this accuracy depends on ground-based radar-estimated rain rate, SeaWinds data, WSI NEXRAD precipitation rates, and selected Eta analysis variables are collocated. SeaWinds is the NASA scatterometer on the QuikSCAT and Advanced Earth Observing Satellite ( ADEOS ) -2 satellites, WSI NEXRAD precipitation data are from a Weather Services International Corporation product based on the U.S. Next Generation Radar (NEXRAD) network of Weather Surveillance Radar-1988 Doppler (WSR-88D) installations, and Eta is the NCEP operational mesoscale model. Only data close to the east coast of the United States are collected, where both the WSI NEXRAD data and the Eta analyses are accurate. For the subset of data for which WSI NEXRAD detects no rain, within the optimal part of the swath, and for Eta analysis wind speeds between 3 and 20 m s −1 , the rms differences between SeaWinds and Eta analysis wind speed and direction are 1.73 m s −1 and 21°, respectively. These rms differences increase significantly whenever WSI NEXRAD detects rain, even light rain. The SeaWinds rain indices are strongly correlated with the WSI NEXRAD precipitation rates. While for high rain rates most winds are correctly flagged, many cases of light rain are not detected.
Journal of Atmospheric and Oceanic Technology – American Meteorological Society
Published: Dec 23, 2003
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.