Sensitivity of satellite-derived wind retrieval over cloudy scenes to target selection in tracking and pixel selection in height assignment

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 5 PART 2, 2012, Pages 2063-2073

  Park, Jeong Hyun ^a,b   Ou, Mi Lim ^a   Kim, Somyoung ^a   Cho, Heeje ^a,b  

^a Meteorological Research Institute   (South Korea)

^b Seoul National University   (South Korea)

Author keywords

Atmospheric motion vector (AMV); height assignment (HA); satellite derived winds; target size

Indexed keywords

ATMOSPHERIC MOTION VECTORS; BOX SIZES; CLOUD TOP PRESSURE; CONTRIBUTION RATE; CROSS CORRELATIONS; DIFFERENT HEIGHTS; FEATURE-TRACKING; GRID SIZE; HEIGHT ASSIGNMENT (HA); HIGH QUALITY; NUMERICAL WEATHER PREDICTION MODELS; OPTIMAL SIZE; PATTERN-MATCHING TECHNIQUE; PIXEL SELECTION; ROOT MEAN SQUARES; SATELLITE IMAGES; SIGNIFICANT IMPACTS; TARGET SELECTION; TARGET SIZE; TEMPLATE IMAGES; TIME INTERVAL; WATER VAPOR CHANNELS; WEATHER ANALYSIS; WIND RETRIEVALS; WIND SHEARS; WIND SPEED;

ALGORITHMS; ERRORS; FLOW VISUALIZATION; IMAGE MATCHING; MATHEMATICAL MODELS; PIXELS; SATELLITES;

TARGET TRACKING;

ACCURACY ASSESSMENT; ALGORITHM; CLIMATE PREDICTION; CLOUD COVER; CORRELATION; PIXEL; SATELLITE DATA; SATELLITE IMAGERY; SENSITIVITY ANALYSIS; TRACKING; WATER VAPOR; WIND SHEAR; WIND VELOCITY;

EID: 84860319638     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2167754     Document Type: Article

References (36)

1. T. Fujita, "Present status of cloud velocity computations from ATS-1 and ATS-3," COSPAR Space Res., vol. 9, pp. 557-570, 1968.
2. L. F. Hubert and L. F. Whitney, Jr., "Wind estimation from geostationarysatellite pictures," Mon. Weather Rev., vol. 99, no. 9, pp. 665-672, Sep. 1971.
3. J. K. Schmetz, W. P. Menzel, C. Hyden, C. Velden, X. Wu, S. Nieman, L. van de Berg, K. Holmlund, and C. Geijo, "Monthly mean largescale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites," Bull. Amer. Meteorol. Soc., vol. 76, no. 9, pp. 1578-1584, 1995.
4. B. J. Soden, "Tracking upper tropospheric water vapor radiances from satellite," J. Geophys. Res., vol. 103, no. D14, pp. 17 069-17 081, Jul. 1998.
5. G. J. Jedlovec, J. A. Lerner, and R. J. Atkinson, "A satellite-derived uppertropospheric water vapor transport index for climate studies," J. Appl. Meteorol., vol. 39, no. 1, pp. 15-41, 2000.
6. K. M. Bedka and J. R. Mecikalski, "Application of satellite-derived atmospheric motion vectors for estimating mesoscale flows," J. Appl. Meteorol., vol. 44, no. 11, pp. 1761-1772, 2005.
7. J. S. Goerss, C. S. Velden, and J. D. Hawkins, "The impact of multispectral GOES-8wind information on Atlantic tropical cyclone track forecasts in 1995. Part II: NOGAPS forecasts," Mon. Weather Rev., vol. 126, pp. 1219-1227, 1998.
8. B. J. Soden, C. S. Velden, and R. E. Tuleya, "The impact of satellite winds on experimental GFDL hurricane model forecasts," Mon. Weather Rev., vol. 129, no. 4, pp. 835-852, Apr. 2001.
9. Q. Xiao, X. Zou, M. Pondeca, M. A. Shapiro, and C. S. Velden, "Impact of GMS-5 and GOES-9 satellite-derived winds on the prediction of a NORPEX extratropical cyclone," Mon. Weather Rev., vol. 130, no. 3, pp. 507-528, Mar. 2002.
10. G. Kelly, "Observing system experiments of all main data types in the ECMWF operational system," in Proc. 3rd WMO Numer. Weather Prediction OSE Workshop, Alpbach, Austria, 2004, vol. 1228, pp. 32-36, WMO, Tech Rep.
11. J. F. Le Marshall, N. Pescod, R. Seaman, G.Mills, and P. Stewart, "An operational system for generating cloud drift winds in the Australian region and their impact on numerical weather prediction," Weather Forecasting, vol. 9, pp. 361-370, 1994.
12. C. S. Velden, C. M. Hayden, P. W. Menzel, J. L. Franklin, and J. S. Lynch, "The impact of satellite-derived winds on numerical hurricane track forecasting," Weather Forecasting, vol. 7, pp. 107-119, 1992.
13. X. Su, J. Derber, S. Lord, C. Velden, and J. Daniels, "Toward improved use of GOES satellite derived winds at NCEP," NCEP Tech. Note., vol. 440, p. 22, 2003.
14. KMA, Joint WMO Technical Progress Report on the Global Data Processing and Forecasting System and Numerical Weather Prediction Research Activities for 2009. [Online]. Available: ftp://ftp.wmo.int/Documents/PublicWeb/www/gdpfs/ GDPFS-NWP-Annualreports09/09-Korea.doc
15. H. Laurent, "Wind extraction from Meteosat water vapor channel image data," J. Appl. Meteorol., vol. 32, no. 6, pp. 1124-1133, 1993.
16. J. Schmetz, K. Holmlund, J. Hoffman, B. Strauss, B. Mason, V. Gaertner, A. Koch, and L. van de Berg, "Operational cloud-motion winds from Meteosat infrared images," J. Appl. Meteorol., vol. 32, no. 7, pp. 1206-1225, 1993.
17. C. S. Velden, C. Hayden, S. Nieman, W. P. Menzel, S. Wanzong, and J. Goerss, "Upper-tropospheric winds derived from geostationary satellite water vapor observations," Bull. Amer. Meteorol. Soc., vol. 78, no. 2, pp. 173-195, Feb. 1997.
18. S. J. Nieman, W. P. Menzel, C. M. Hayden, D. Gray, S. T. Wanzong, C. S. Velden, and J. Daniels, "Fully automated cloud-drift winds in NESDIS operations," Bull. Amer. Meteorol. Soc., vol. 78, no. 6, pp. 1121-1133, Jun. 1997.
19. E. Sohn and R. Borde, "The impact of window size on AMV," in Proc. 9th Int. Winds Workshop, Annapolis, MD, 2008.
20. R. Oyama, "Recent upgrades of and activities for atmospheric motion vectors at JMA/MSC," in Proc. 10th EUMETSAT Int. Winds Workshop, Tokyo, Japan, 2010.
21. J. Daniels andW. Brewsky, "A new nested tracking approach for reducing the slow speed bias associated with atmospheric motion vectors," in Proc. 10th IWW, 2010, p. 10.
22. I. Genkova, R. Borde, J. Schmetz, C. Velden, K. Holmlund, M. Forsythe, J. Daniels, N. Bormann, and P. Bauer, "Global atmospheric motion vector inter-comparison study," in Proc.10th EUMETSAT Int. Winds Workshop, Tokyo, Japan, 2010.
23. W. P. Menzel, W. L. Smith, and T. R. Stewart, "Improved cloud motion wind vector and altitude assignment using VAS," J. Climate Appl. Meteorol., vol. 22, no. 3, pp. 377-384, Mar. 1983.
24. S. Fritz and J. S. Winston, "Synoptic use of radiation measurements from satellite TIROS-II," Mon. Weather Rev., vol. 90, pp. 1-9, 1962.
25. S. J. Nieman, J. Schmetz, and W. P. Menzel, "A comparison of several techniques to assign heights to cloud tracers," J. Appl. Meteorol., vol. 32, no. 9, pp. 1559-1568, 1993.
26. G. Büche, H. Karbstein, A. Kummer, and H. Fischer, "Water vapor structure displacements from cloud-free Meteosat scenes and their interpretation for the wind field," J. Appl. Meteorol. Climatol., vol. 45, no. 4, pp. 556-575, Apr. 2006.
27. R. Borde and R. Oyama, "A direct link between feature tracking and height assignment of operational atmospheric motion vectors," in Proc. 9th EUMETSAT Int. Winds Workshop, Annapolis, MD, 2008.
28. K. Holmlund, "The utilization of statistical properties of satellite-derived atmospheric motion vectors to derive quality indicators," Weather Forecasting, vol. 13, no. 4, pp. 1093-1104, Dec. 1998.
29. R. T. Merrill,W. P. Menzel,W. Baker, J. Lynch, and E. Legg, "A report on the recent demonstration of NOAA's upgraded capability to derive satellite cloud motion winds," Bull. Amer.Meteorol. Soc., vol. 72, pp. 372-376, 1991.
30. M. Tokuno, "Operational system for extracting cloud motion and water vapor motion winds from GMS-5 image data," in Proc. 3rd Int. WindsWorkshop, EUMETSAT, 1996, pp. 21-30.
31. J. Coakley and F. Bretherton, "Cloud cover from high resolution scanner data; detecting and allowing for partially filled fields of view," J. Geophys. Res., vol. 87, no. C7, pp. 4917-4932, 1982.
32. N. Bormann, D. Salmond, M. Matricardi, A. Geer, and M. Hamrud, "The RTTOV-9 upgrade for clear-sky radiance assimilation in the IFS," ECMWF Res. Dept. Tech. Memo., vol. 586, p. 26, 2009.
33. W. P. Menzel, "Working group on verification statistics," in Proc. 3rd IWW, 1996, pp. 17-19.
34. D.W. Hillger and T. H. Vonder Haar, "Estimating noise levels of remotely sensed measurements from satellites using spatial structure analysis," J. Atmos. Ocean. Technol., vol. 5, no. 2, pp. 206-214, Apr. 1988.
35. W. E. Shenk, "Suggestions for improving the derivation of winds from geosynchronous satellites," Global Planet. Change, vol. 4, Operational satellites: Sentinels for the monitoring of climate and global change, no. 1-3, pp. 165-171, Jul. 1991.
36. H. Uchida, "Height assignment for GMS high-level cloud motion winds," in Proc. EUMETSAT, Workshop Wind Extraction Oper. Meteorol. Satellite Data, Washington, DC, 1992, pp. 27-32.