Verification of cloud forecasts over the Eastern Pacific using passive satellite retrievals

Monthly Weather Review

Volumn 137, Issue 10, 2009, Pages 3485-3500

  Nachamkin, Jason E ^a   Schmidt, Jerome ^a   Mitrescu, Cristian ^a  

^a NAVAL RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD COVER; CLOUD FORECASTS; CLOUD SYSTEMS; COMPOSITE STATISTICS; CONVECTIVE ACTIVITY; COUPLED OCEAN ATMOSPHERE MESOSCALE PREDICTION SYSTEM; EASTERN PACIFIC; EASTERN PACIFIC OCEAN; EXTRATROPICAL CYCLONES; GENERAL ASPECTS; GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITES; MESOSCALE; PASSIVE SATELLITES; SYNOPTIC-SCALE SYSTEMS;

GEOSTATIONARY SATELLITES; OCEANOGRAPHY; TIME MEASUREMENT; WIND EFFECTS;

WEATHER FORECASTING;

ACCURACY ASSESSMENT; ATMOSPHERE-OCEAN COUPLING; CLOUD COVER; ERROR ANALYSIS; ESTIMATION METHOD; FUZZY MATHEMATICS; GOES; MESOSCALE METEOROLOGY; SATELLITE DATA; SEASONAL VARIATION; SYNOPTIC METEOROLOGY; TROPICAL CYCLONE; WEATHER FORECASTING;

PACIFIC OCEAN; PACIFIC OCEAN (EAST);

EID: 70449094381     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR2853.1     Document Type: Article

References (31)

1. Bieringer, P., M. Donovan, F. Robasky, D. Clark, and J. Hurst, 2006: A characterization of NWP ceiling and visibility forecasts for the terminal airspace. Preprints, 12th Conf. on Aviation Range and Aerospace Meteorology, Atlanta, GA, Amer. Meteor. Soc., P3.6. [Available online at http://ams.confex.com/ams/Annual2006/techprogram/ paper_103720.htm.]
2. Carter, G. M., and H. R. Glahn, 1976: Objective prediction of cloud amount based on model output statistics. Mon. Wea. Rev., 104, 1565-1572.
3. Casati, B., G. Ross, and D. B. Stephenson, 2004: A new intensity-scale approach for the verification of spatial precipitation forecasts. Meteor. Appl., 11, 141-154.
4. Chaboureau, J.-P., and J.-P. Pinty, 2006: Validation of a cirrus parameterization with Meteosat Second Generation observations. Geophys. Res. Lett., 33, L03815, doi:10.1029/2005GL024725.
5. Chaboureau, J.-P., J.-P. Cammas, P. Mascart, J.-P. Pinty, and J.-P. Lafore, 2002: Mesoscale cloud scheme assessment using satellite observations. J. Geophys. Res., 107, 4301, doi:10.1029/ 2001/JD000,714.
6. Chevallier, F., and G. Kelly, 2002: Model clouds as seen from space: Comparison with geostationary imagery in the 11-μm window channel. Mon. Wea. Rev., 130, 712-722.
7. Daley, R., and E. Barker, 2001: NAVDAS source book 2001: NRL atmospheric variational data assimilation system. NRL/PU/7530-01-441, Naval Research Laboratory, Monterey, CA, 163 pp.
8. Davies, H. C., 1976: A lateral boundary formulation for multi-level prediction models. Quart. J. Roy. Meteor. Soc., 102, 405-418.
9. Ebert, E. E., 2008: Fuzzy verification of high-resolution gridded forecasts: A review and proposed framework. Meteor. Appl., 15, 51-64.
10. Ebert, E. E., and J. L. McBride, 2000: Verification of precipitation in weather systems: Determination of systematic errors. J. Hydrol., 239, 179-202.
11. Ebert, E. E., L. J. Wilson, B. G. Brown, P. Nurmi, H. E. Brooks, J. Bally, and M. Jaeneke, 2004: Verification of nowcasts from the WWRP Sydney 2000 Forecast Demonstration Project. Wea. Forecasting, 19, 73-96.
12. Heidinger, A., 2003: Rapid daytime estimation of cloud properties over a large area from radiance distributions. J. Atmos. Oceanic Technol., 20, 1237-1250.
13. Hodur, R. M., 1997: The Naval Research Laboratory's Coupled Ocean/ AtmosphereMesoscale Prediction System (COAMPS). Mon. Wea. Rev., 125, 1414-1430.
14. Hogan, T. F., M. S. Peng, J. A. Ridout, and W. M. Clune, 2002: A description of the impact of changes to NOGAPS convection parameterization and the increase in resolution to T239L30. NRL Memo. Rep. NRL/MR/7530-02-52, Naval Research Laboratory, Monterey, CA, 10 pp.
15. Kain, J. S., and J. M. Fritsch, 1993: Convective parameterization for mesoscale models: The Kain-Fritsch scheme. The Representation of Cumulus Convection in Numerical Models, Meteor. Monogr., No. 46, Amer. Meteor. Soc, 165-170.
16. Li, J.-L., and Coauthors, 2005: Comparisons of EOS MLS cloud ice measurements with ECMWF analyses and GCM simulations: Initial results. Geophys. Res. Lett., 32, L18710, doi:10.1029/2005GL023788.
17. Meyers, M. P., P. J. DeMott, and W. R. Cotton, 1992: New primary ice-nucleation parameterizations in an explicit cloud model. J. Appl. Meteor., 31, 708-721.
18. Miller, S. D., G. L. Stephens, C. K. Drummond, A. K. Heidinger, and P. T. Partain, 2000: A multisensor diagnostic satellite cloud property retrieval scheme. J. Geophys. Res., 105, 19 955-19 971.
19. Mitrescu, C., J. M. Haynes, G. L. Stephens, S. D. Miller, G. M. Heymsfield, and M. J. McGill, 2005: Cirrus cloud optical, microphysical and radiative properties observed during CRYSTAL-FACE experiment: A lidar-radar retrieval system. J. Geophys. Res., 110, D09209, doi:10.1029/2004JD005605.
20. Mitrescu, C., S. Miller, and R. Wade, 2006: Cloud optical and microphysical properties derived from satellite data. Preprints, 14th Conf. on Satellite Meteorology and Oceanography, Atlanta, GA, P1.7. [Available online at http://ams.confex.com/ams/Annual2006/techprogram/ paper_100515.htm.]
21. Murphy, A. H., and E. S. Epstein, 1989: Skill scores and correlation coefficients in model verification. Mon. Wea. Rev., 117, 572-581.
22. Nachamkin, J. E., 2004: Mesoscale verification using meteorological composites. Mon. Wea. Rev., 132, 941-955.
23. Nakajima, T., and M. D. King, 1990: Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. Part I: Theory. J. Atmos. Sci., 47, 1878-1893.
24. Norquist, D. C., 1999: Cloud predictions diagnosed from mesoscale weather model forecasts. Mon. Wea. Rev., 127, 2465-2483.
25. Roberts, N. M., and H. W. Lean, 2008: Scale-selective verification of rainfall accumulations from high-resolution forecasts of convective events. Mon. Wea. Rev., 136, 78-97.
26. Rutledge, S. A., and P. V. Hobbs, 1983: The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. VIII: A model for the "seeder-feeder" process in warm-frontal rainbands. J. Atmos. Sci., 40, 1185-1206.
27. Rutledge, S. A., and P. V. Hobbs, 1984: The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. XII: A diagnostic modeling study of precipitation development in narrow cold-frontal rainbands. J. Atmos. Sci., 41, 2949-2972.
28. Schmidt, J. M., 2001: Moist physics development for the Naval Research Laboratory's Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS). BACIMO Conf., Fort Collins, CO, Army Research Laboratory, CD-ROM.
29. Skamarock,W. C., 2004: Evaluating mesoscale NWP models using kinetic energy spectra. Mon. Wea. Rev., 132, 3019-3032.
30. Söhne, N., J.-P. Chaboureau, S. Argence, D. Lambert, and E. Richard, 2006: Objective evaluation of mesoscale simulations of the Algiers 2001 flash flood by the model-to-satellite approach. Adv. Geosci., 7, 247-250.
31. Zepeda-Arce, J., E. Foufoula-Georgiou, and K. K. Droegemeier, 2000: Space-time rainfall organization and its role in validating quantitative precipitation forecasts. J. Geophys. Res., 105 (D8), 10 129-10 146.