The operational mesogamma-scale snalysis and forecast system of the U.S. army test and evaluation command. Part I: Overview of the modeling system, the forecast products, and how the products are used

Journal of Applied Meteorology and Climatology

Volumn 47, Issue 4, 2008, Pages 1077-1092

  Liu, Yubao ^a   Warner, Thomas T ^a,b   Bowers, James F ^c   Carson, Laurie P ^a   Chen, Fei ^a   Clough, Charles A ^d   Davis, Christopher A ^a   Egeland, Craig H ^e   Halvorson, Scott F ^c   Huck Jr , Terrence W ^f   Lachapelle, Leo ^g   Malone, Robert E ^h   Rife, Daran L ^a   Sheu, Rong Shyang ^a   Swerdlin, Scott P ^a   Weingarten, Dean S ⁱ  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b UNIVERSITY OF COLORADO   (United States)

^c US Army Dugway Proving Ground   (United States)

^d U S ARMY RESEARCH LABORATORY   (United States)

^e Engineering Research and Development Center   (United States)

^f White Sands Missile Range   (United States)

^g US Army Redstone Technical Test Center   (United States)

^h US Army Electronics Proving Ground   (United States)

ⁱ US Army Yuma Proving Ground   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PAPER;

DATA ASSIMILATIONS; FORECAST PRODUCTS; FORECAST SYSTEMS; FORECASTING SYSTEMS; HIGH RESOLUTIONS; MESOSCALE MODELS; MODELING SYSTEMS; OPERATIONAL REQUIREMENTS; U.S. ARMIES; WEATHER ANALYSIS; WEATHER SYSTEMS;

FORECASTING;

ATMOSPHERIC MODELING; DATA ASSIMILATION; MESOSCALE METEOROLOGY; WEATHER FORECASTING;

EID: 57649165541     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/2007JAMC1653.1     Document Type: Review

References (33)

1. Chen, F., and J. Dudhia, 2001a: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part I: Model implementation and sensitivity. Mon. Wea. Rev., 129, 569-585.
2. Chen, F., and J. Dudhia, 2001b: Coupling an advanced land surface-hydrology model with the Penn State-NCAR MM5 modeling system. Part II: Model validation. Mon. Wea. Rev., 129, 587-604.
3. Chen, F., K. Manning, D. Yates, M. A. LeMone, S. B. Trier, R. Cuenca, and D. Niyogi, 2004: Development of high-resolution land data assimilation system and its application to WRF. Preprints, 20th Conf. on Weather Analysis and Forecasting and 16th Conf. on Numerical Weather Prediction, Seattle, WA, Amer. Meteor. Soc., 22.3.
4. Cressman, G. P., 1959: An operational objective analysis system. Mon. Wea. Rev., 87, 367-374.
5. Davis, C., T. Warner, J. Bowers, and E. Astling, 1999: Development and application of an operational, relocatable, mesogamma-scale weather analysis and forecasting system. Tellus, 51A, 710-727.
6. Dudhia, J., 1989: Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J. Atmos. Sci., 46, 3077-3107.
7. Ebuchi, N., H. C. Graber, and M. J. Michael, 2002: Evaluation of wind vectors observed by QuikSCAT/SeaWinds using ocean buoy data. J. Atmos. Oceanic Technol., 19, 2049-2062.
8. Fast, J. D., 1995: Mesoscale modeling and four-dimensional data assimilation in areas of highly complex terrain. J. Appl. Meteor., 34, 2762-2782.
9. Gray, D., J. Daniels, S. Nieman, S. Lord, and G. Dimego, 1996: NESDIS and NWS assessment of GOES 8/9 operational satellite motion vectors. Proc. Third Int. Winds Workshop, Pub. EUM P18, Ascona, Switzerland, EUMETSAT, 175-183.
10. Grell, G., 1993: Prognostic evaluation of assumptions used by cumulus parameterizations. Mon. Wea. Rev., 121, 764-787.
11. Grell, G. A., J. Dudhia, and D. R. Stauffer, 1995: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech. Note NCAR/TN-398+STR, 122 pp.
12. Hong, S.-Y., and H.-L. Pan, 1996: Nonlocal boundary layer vertical diffusion in a medium-range forecast model. Mon. Wea. Rev., 124, 2322-2339.
13. Horel, J., M. Splitt, and B. White, 2002: MesoWest: Cooperative mesonets in the western United States. Bull. Amer. Meteor. Soc., 83, 211-225.
14. Leslie, L. M., J. F. LeMarshall, R. P. Morrison, C. Spinoso, R. J. Purser, N. Pescod, and R. Seecamp, 1998: Improved hurricane track forecasting from the continuous assimilation of high-quality satellite wind data. Mon. Wea. Rev., 126, 1248-1258.
15. Liu, Y., F. Vandenberghe, S. Low-Nam, T. T. Warner, and S. Swerdlin, 2004: Observation-quality estimation and its application in the NCAR/ ATEC real-time FDDA and forecast (RTFDDA) system. Preprints, 20th Conf. on Weather Analysis and Forecasting and 16th Conf. on Numerical Weather Prediction, Seattle, WA, Amer. Meteor. Soc., J1.7.
16. Liu, Y., F. Chen, T. Warner, and J. Basara, 2006a: Verification of a mesoscale data-assimilation and forecasting system for the Oklahoma City area during the Joint Urban 2003 Field Project. J. Appl. Meteor. Climatol., 45, 912-929.
17. Liu, Y., W. Yu, F. Vandenberghe, A. Hahmann, T. Warner, and S. Swerdlin, 2006b: Assimilation of diverse meteorological datasets with a four-dimensional mesoscale analysis and forecast system. Preprints, 10th Symp. on Integrated Observing and Assimilation System for the Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer. Meteor. Soc., 2.8.
18. Liu, Y., and Coauthors, 2008: The operational mesogamma-scale analysis and forecast system of the U.S. Army test and evaluation command. Part II: Interrange comparison of the accuracy of model analyses and forecasts. J. Appl. Meteor. Climatol., 47, 1093-1104.
19. Mlawer, E. J., S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, 1997: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the long-wave. J. Geophys. Res., 102 (D14), 16 663-16 682.
20. Moninger, W. R., R. D. Mamrosh, and P. M. Pauley, 2003: Automated meteorological reports from commercial aircraft. Bull. Amer. Meteor. Soc., 84, 203-216.
21. Neiman, P. J., P. T. May, and M. A. Shapiro, 1992: Radio Acoustic Sounding System (RASS) and wind profiler observations of lower and mid-troposphere. Preprints, Seventh Symp. on Meteorological Observation and Instrumentation, New Orleans, LA, Amer. Meteor. Soc., 61-66.
22. Nieman, S. J., W. P. Menzel, C. M. Hayden, D. Gray, S. T. Wanzong, C. S. Velden, and J. Daniels, 1997: Fully automated cloud-drift winds in NESDIS operations. Bull. Amer. Meteor. Soc., 78, 1121-1133.
23. Reisner, J., R. J. Rasmussen, and R. T. Bruintjes, 1998: Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model. Quart. J. Roy. Meteor. Soc., 124B, 1071-1107.
24. Rife, D. L., T. T. Warner, F. Chen, and E. G. Astling, 2002: Mechanisms for diurnal boundary layer circulations in the Great Basin Desert. Mon. Wea. Rev., 130, 921-938.
25. Rife, D. L., C. A. Davis, Y. Liu, and T. T. Warner, 2004: Predictability of low-level winds by mesoscale meteorological models. Mon. Wea. Rev., 132, 2553-2569.
26. Saxen, T. R., and Coauthors, 2008: The operational mesogamma-scale analysis and forecast system of the U.S. Army test and evaluation command. Part IV: The White Sands Missile Range Auto-Nowcast System. J. Appl. Meteor. Climatol., 47, 1123-1139.
27. Seaman, N. L., D. R. Stauffer, and A. M. Lario-Gibbs, 1995: A multiscale four-dimensional data assimilation system applied in the San Joaquin Valley during SARMAP. Part I: Modeling design and basic performance characteristics. J. Appl. Meteor., 34, 1739-1761.
28. Sharman, R. D., Y. Liu, R.-S. Sheu, T. T. Warner, D. L. Rife, J. F. Bowers, C. A. Clough, and E. E. Ellison, 2008: The operational mesogamma-scale analysis and forecast system of the U.S. Army test and evaluation command. Part III: Forecasting with secondary-applications models. J. Appl. Meteor. Climatol., 47, 1105-1122.
29. Stauffer, D. R., and N. L. Seaman, 1994: Multiscale four-dimensional data assimilation. J. Appl. Meteor., 33, 416-434.
30. Stauffer, D. R., N. L. Seaman, and F. S. Binkowski, 1991: Use of four-dimensional data assimilation in a limited-area mesoscale model. Part II: Effects of data assimilation within the planetary boundary layer. Mon. Wea. Rev., 119, 734-754.
31. Warner, T. T., and H.-M. Hsu, 2000: Nested-model simulation of moist convection: The impact of coarse-grid parameterized convection on fine-grid resolved convection. Mon. Wea. Rev., 128, 2211-2231.
32. Warner, T. T., J. F. Bowers, S. P. Swerdlin, and B. A. Beitler, 2004: A rapidly deployable, operational, mesoscale modeling system for emergency-response applications. Bull. Amer. Meteor. Soc., 85, 709-716.
33. Xu, M., Y. Liu, C. A. Davis, and T. T. Warner, 2002: Sensitivity study on nudging parameters for a mesoscale FDDA system. Preprints, 19th Conf. on Weather Analysis and Forecasting and 15th Conf. on Numerical Weather Prediction, San Antonio, TX, Amer. Meteor. Soc., 4B.4.