A comparison of knmi quality control and jpl rain flag for seawinds

Canadian Journal of Remote Sensing

Volumn 28, Issue 3, 2002, Pages 424-430

  Portabella, M ^a   Stoffelen, A ^a  

^a ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE KNMI   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

FIGHTER AIRCRAFT; METEOROLOGICAL INSTRUMENTS; MICROWAVE SENSORS; NASA; OCEAN CURRENTS; RAIN; WEATHER FORECASTING; WIND;

EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; INFORMATION CONTENTS; JET PROPULSION LABORATORY; SCATTEROMETER WINDS; SCATTEROMETERS; SPECIAL SENSOR MICROWAVE IMAGERS; WEATHER ANALYSIS; WIND RETRIEVALS;

QUALITY CONTROL;

EID: 0442274357     PISSN: 07038992     EISSN: 17127971     Source Type: Journal    
DOI: 10.5589/m02-040     Document Type: Article

References (13)

1. Boukabara, S.A., Hoffman, R.N., and Grassotti, C. 2000. Atmospheric compensation and heavy rain detection for SeaWinds using AMSR. Atmospheric Environmental Research Inc., Lexington, Mass.
2. Figa, J., and Stoffelen, A. 2000. On the assimilation of Ku-band scatterometer winds for weather analysis and forecasting. IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 4, pp. 1893-1902.
3. Huddleston, J.N., and Stiles, B.W. 2000. A multi-dimensional histogram technique for flagging rain contamination on QuikSCAT. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, Vol. 3, pp. 1232-1234.
4. Isaksen, L., and Stoffelen, A. 2000. ERS scatterometer wind data impact on ECMWF’s tropical cyclone forecasts. IEEE Transactions on Geoscience and Remote Sensing, Vol. 38, No. 4, pp. 1885-1892.
5. Jet Propulsion Laboratory. 2001. QuikSCAT Science Data Product user's manual, version 2.2. JPL D-18053, Jet Propulsion Laboratory, Pasadena, Calif. 89 pp.
6. Leidner, M., Hoffman, R., and Augenbaum, J. 2000. SeaWinds scatterometer real-time BUFR geophysical data product, version 2.2.0. NOAA/NESDIS, Washington, D.C. 45 pp.
7. Mears, C., Smith, D., and Wentz F. 2000. Detecting rain with QuikSCAT. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, Vol. 3, pp. 1235-1237.
8. Portabella, M., and Stoffelen, A. 2001. Rain detection and quality control of SeaWinds. Journal ofAtmospheric and Oceanic Technology, Vol. 18, No. 7, pp. 1171-1183.
9. Rohn, M., Kelly, G., and Saunders, R. 1998. Experiments with atmospheric motion vectors at ECMWF. In Proceedings of the 4th International Winds Workshop, Saanenmoser, Switzerland. EUM P24, ISSN 1023-0416, EUMETSAT, Darmstadt, Germany, pp. 139-146.
10. Spencer, M.W., Wu, C., and Long, D.G. 1997. Tradeoffs in the design of a spaceborn scanning pencil beam scatterometer: application to SeaWinds. IEEE Transactions on Geoscience and Remote Sensing, Vol. 35, No. 1, pp. 115-126.
11. Stoffelen, A., and Anderson D. 1997. Scatterometer data interpretation: measurement space and inversion. Journal of Atmospheric and Oceanic Technology, Vol. 14, No. 6, pp. 1298-1313.
12. Stoffelen, A., and Van Beukering, P. 1997. Implementation of improved ERS scatterometer data processing and its impact on HIRLAM short range weather forecasts. Contract NRSP-2/97-06, Beleidscomissie Remote Sensing Report, Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands. 75 pp.
13. Van De Hulst, H.C. 1957. Light scattering by small particles. John Wiley and Sons Inc., New York. 428 pp.