Comparison of daily precipitation statistics for the United States in observations and in the NCEP climate forecast system

Journal of Climate

Volumn 21, Issue 22, 2008, Pages 5993-6014

  Higgins, R Wayne ^a,b   Silva, V B S ^a   Kousky, V E ^a   Shi, W ^a  

^a CLIMATE PREDICTION CENTER   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DROUGHT;

CLIMATE FORECASTS; COUPLED SIMULATIONS; DIFFERENCE PATTERNS; HEAVY RAIN EVENTS; INTER COMPARISONS; LEAD-TIME; POSITIVE BIAS; PROBABILISTIC FORECASTS; REAL TIME; SEASONAL DEPENDENCES; STATION DATUM; SUMMER MONTHS; WET AND DRIES;

FORECASTING;

CLIMATE PREDICTION; COMPUTER SIMULATION; EL NINO-SOUTHERN OSCILLATION; ENSEMBLE FORECASTING; PRECIPITATION ASSESSMENT; WEATHER FORECASTING;

NORTH AMERICA; UNITED STATES;

EID: 60749123369     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JCLI2339.1     Document Type: Article

References (26)

1. Behringer, D. W., and Coauthors, 2005: The Global Ocean Data Assimilation System (GODAS) at NCEP. Preprints, 11th Symp. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), San Antonio, TX, Amer. Meteor. Soc., 3.3. [Available online at http://ams.confex.com/ams/pdfpapers/ 119541.pdf.]
2. Charba, J. P., A. W. Harrell III, and A. C. Lackner III, 1992: A monthly precipitation amount climatology derived from published atlas maps: Development of a digital data base. NOAA TDL Office Note 92-7, 20 pp.
3. Chen, M., W. Shi, P. Xie, V. B. S. Silva, V. E. Kousky, R. W. Higgins, and J. E. Janowiak, 2008: Assessing objective techniques for gauge-based analyses of global daily precipitation. J. Geophys. Res., 113, D04110, doi:10.1029/2007JD009132.
4. Cressman, G. P., 1959: An operational objective analysis system. Mon. Wea. Rev., 87, 367-374.
5. Gershunov, A., and T. Barnett, 1998: ENSO influence on intraseasonal extreme rainfall and temperature frequencies in the contiguous United States: Observations and model results. J. Climate, 11, 1575-1586.
6. Gershunov, A., and D. Cayan, 2003: Heavy daily precipitation frequency over the contiguous United States: Sources of climatic variability and seasonal predictability. J. Climate, 16, 2752-2765.
7. Glahn, H. R., T. L. Chambers, W. S. Richardson, and H. P. Perrotti, 1985: Objective map analysis for the local AFOS MOS Program. NOAA Tech. Memo. NWS TDL 75, 34 pp.
8. Groisman, P. Ya., and Coauthors, 1999: Changes in the probability of heavy precipitation: Important indicators of climatic change. Climatic Change, 42, 243-283.
9. Hamill, T. M., J. S. Whitaker, and X. Wei, 2004: Ensemble reforecasting: Improving medium-range forecast skill using retrospective forecasts. Mon. Wea. Rev., 132, 1434-1447.
10. Hamill, T. M., J. S. Whitaker, and S. L. Mullen, 2006: Reforecasts: An important new dataset for improving weather predictions. Bull. Amer. Meteor. Soc., 87, 33-46.
11. Higgins, R. W., W. Shi, E. Yarosh, and R. Joyce, 2000: Improved United States precipitation quality control system and analysis. NCEP/ Climate Prediction Center ATLAS No. 7, National Oceanic and Atmospheric Administration, 40 pp.
12. Higgins, R. W., V. B. S. Silva, W. Shi, and J. Larson, 2007: Relationships between climate variability and fluctuations in daily precipitation over the United States. J. Climate, 20, 3561-3579.
13. Janowiak, J. E., V. J. Dagostaro, V. E. Kousky, and R. J. Joyce, 2007: An examination of precipitation in observations and model forecasts during NAME with emphasis on the diurnal cycle. J. Climate, 20, 1680-1692.
14. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
15. Kanamitsu, M., W. Ebisuzaki, J. Woollen, S.-K. Yang, J. J. Slingo, M. Fiorino, and G. L. Potter, 2002: NCEP-DOE AMIP-II Reanalysis (R-2). Bull. Amer. Meteor. Soc., 83, 1631-1643.
16. Karl, T. R., and R. W. Knight, 1998: Secular trends of precipitation amount, frequency, and intensity in the United States. Bull. Amer. Meteor. Soc., 79, 231-241.
17. Kousky, V. E., and R. W. Higgins, 2007: An alert classifications system for monitoring and assessment of the ENSO cycle. Wea. Forecasting, 22, 353-371.
18. Leetmaa, A., 2003: Seasonal forecasting: Innovations in practice and institutions. Bull. Amer. Meteor. Soc., 84, 1686-1691.
19. Mahrt, L., and H.-L. Pan, 1984: A two-layer model of soil hydrology. Bound.-Layer Meteor., 29, 1-20.
20. Newman, M., P. D. Sardeshmukh, C. R. Winkler, and J. S. Whitaker, 2003: A study of subseasonal predictability. Mon. Wea. Rev., 131, 1715-1732.
21. Pan, H., and J. Han, 2007: Handling convection and turbulence for weather and climate models. Can one size fit all? Preprints, Symp. on Connections between Mesoscale Processes and Climate Variability, San Antonio, TX, Amer. Meteor. Soc., 3.2.
22. Ropelewski, C. F., and M. Bell, 2008: Shifts in the statistics of daily rainfall in South America conditional on ENSO phase. J. Climate, 21, 849-865.
23. Saha, S., and Coauthors, 2006: The NCEP climate forecast system. J. Climate, 19, 3483-3517.
24. Smith, T. M., and R. W. Reynolds, 2003: Extended reconstruction of global sea surface temperatures based on COADS data (1854-1997). J. Climate, 16, 1495-1510.
25. Solomon S., D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, and H. L. Miller, Eds., 2007: Climate Change 2007: The Physical Science Basis. Cambridge University Press, 989 pp.
26. Winkler, C. R., M. Newman, and P. D. Sardeshmukh, 2001: A linear model of wintertime low-frequency variability. Part I: Formulation and forecast skill. J. Climate, 14, 4474-4494.