Impact of MODIS atmospheric motion vectors on a global NWP system

Australian Meteorological Magazine

Volumn 57, Issue 1, 2008, Pages 45-51

  Le Marshall, J ^a,f   Jung, J ^a,b   Zapotocny, T ^a,b   Redder, C ^a,c   Dunn, M ^a,d   Daniels, J ^a,e   Riishojgaard, Lars Peter ^a,c  

^a Joint Center for Satellite Data Assimilation   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

^d LA TROBE UNIVERSITY   (Australia)

^e OFFICE OF RESEARCH AND APPLICATIONS   (United States)

^f BUREAU OF METEOROLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION; ERROR ANALYSIS; MODIS; NOAA SATELLITE; NORTHERN HEMISPHERE; SATELLITE DATA; SATELLITE IMAGERY; SOUTHERN HEMISPHERE; STORM TRACK; SUMMER; TROPICAL CYCLONE; WEATHER FORECASTING; WIND DIRECTION; WIND FIELD;

ATLANTIC OCEAN;

AEOLUS;

EID: 46449084592     PISSN: 00049743     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

1. Bormann, N. and Thépaut, J.-N. 2004. Impact of MODIS polar winds in ECMWF's 4DVAR data assimilation system, European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom. Mon. Wealh. Rev., 132, 929-40.
2. Daley, R. 1991. Atmospheric data analysis. Cambridge University Press, Cambrige, UK. 460 pp.
3. Daniels, J., Velden, C., Bresky, N. and Irving, A. 2004. Status of the NOAA/NESDIS Operations Satellite Wind Product System: Recent improvements, new products, product quality, and future plans. Proc. Seventh Int. Winds Workshop 1-17 June 2004, Helsinki. (EUMETSAT, ISBN 92-9110-067-6), 31-44.
4. Derber, J.C., Van Delst, P., Su, X.J., Li, X., Okamoto, K. and Treadon, R. 2003. Enhanced use of radiance data in the NCEP data assimilation system. Proc. 13th Int. TOVS Study Conference. Ste. Adele, 29 October - 4 November, Canada 2003.
5. Herman, L.D. 1993. High frequency satellite cloud motion at high latitudes, Eighth Symposium on Meteorological Observations and Instrumentation, Anaheim, CA, January 17-22, 1993, 465-8.
6. Herman, L.D. and Nagle, F. W. 1994. A comparison of POES satellite derived winds techniques in the Arctic at CIMSS. Proc. 7th Conference on Satellite Meteorology and Oceanography, Monterey, CA, 6.10 June 1994, American Meteorological Society, Boston, MA, 1994, 444-7.
7. Holmlund, K. 1998. The utilization of statistical properties of satellite-derived atmospheric motion vectors to derive quality indicators. Weath. forecasting, 13, 1093-104.
8. Holmlund, K., Velden, C.S. and Rohn, M. 2001. Enhanced automated quality control applied to high-density satellite-derived winds. Mon. Weath. Rev., 129, 517-29.
9. Kazumori, M. and Nakamura, Y. 2004. MODIS polar winds assimilation experiments at JMA. Proc. Seventh Int. Winds Workshop, 1- 17 June 2004, Helsinki (EUMETSAT, ISBN, 92-9110-067-6), 265-72.
10. Key, J., Santek, D., Velden, C.S., Borman, N., Thépaut, J.N., Riishojgaard, L.P., Zhu, Y. and Menzel, W.P. 2003. Cloud-drift and water vapor winds in the polar regions from MODIS. IEEE Trans. Geosci. Remote Sensing, 41, 482-92.
11. Key, J., Santek, D. and Velden, C. 2004. Atmospheric motion vector height assignment in the polar regions: issues and recommendations. Proc. Seventh Int. Winds Workshop, 1-17 June 2004, Helsinki (EUMETSAT, ISBN, 92-9110-067-6), 241-8.
12. Le Marshall, J.F., Leslie, L.M., Seecamp, R. and Rea, A. 2003. High resolution space based wind observations. Estimation and application - a review. Mausam, 54, 1-12.
13. Le Marshall, J.F., Rea, A., Leslie, L., Seecamp, R. and Dunn, M. 2004. Error characterization of atmospheric motion vectors. Aust. Met. Mag., 53, 123-31.
14. Nieman, S.J., Menzel, W.P., Hayden, C.M., Gray, D., Wanzong, S.T., Velden, C.S. and Daniels, J. 1997. Fully automated cloud drift winds in NESDIS operations. Bull. Am. Met. Soc., 78, 1121-33.
15. Riishojgaard, L.P and Zhu, Y. 2004. Impact experiments on GMAO data assimilation and forecast systems with MODIS winds during MOWSAP. Proc. Seventh Int. Winds Workshop, 1-17 June 2004, Helsinki (EUMETSAT, ISBN, 92-9110-067-6), 281-7.
16. Sarrazin, R. and Zaitseva, Y. 2004. MODIS polar winds assimilation impact study with CMC operational NWP system. Proc. 7th International Winds Workshop, 1-17 June 2004, Helsinki (EUMETSAT, ISBN, 92-9110-067-6), 289-96.
17. Turner, J. and Warren, E. 1989. Cloud Track Winds in the Polar Regions from Sequences of AVHRR Images. Int. J. Rem. Sens., 10, 695-703.
18. Velden, C.S., Hayden, C.M., Nieman, S.J., Menzel, W.P., Wanzong, S. and Goerss, I.S. 1997. Upper tropospheric winds derived from geostationary satellite water vapour observations. Bull. Am. Met. Soc., 78, 173-95.
19. Zapotocny, T.H., Jung, J.A., Le Marshall, J.F. and Treadon, R.E. 2008. A two season impact study of four satellite data types and rawinsonde data in the NCEP Global Data Assimilation System. Weath. forecasting, 23, 80-100.