Forecaster use and evaluation of real-time 3DVAR analyses during severe thunderstorm and tornado warning operations in the hazardous weather testbed

Weather and Forecasting

Volumn 29, Issue 3, 2014, Pages 601-613

  Calhoun, Kristin M ^a   Smith, Travis M ^a   Kingfield, Darrel M ^a   Gao, Jidong ^b   Stensrud, David J ^b  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b NATIONAL SEVERE STORMS LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BLENDING; HAZARDS; METEOROLOGICAL PROBLEMS; RADAR; RAIN; STORMS; TESTBEDS; WEATHER FORECASTING;

HORIZONTAL RESOLUTION; MESO-SCALE MODELING; PROCESSING SYSTEMS; TORNADIC SUPERCELLS; TORNADO WARNINGS; VARIATIONAL DATA ASSIMILATION; VERTICAL VORTICITY; WEATHER SURVEILLANCE RADAR-1988 DOPPLER;

DATA PROCESSING;

DATA ASSIMILATION; DOPPLER RADAR; NOAA SATELLITE; REAL TIME; SUPERCELL; TORNADO; VARIANCE ANALYSIS; WARNING SYSTEM; WEATHER FORECASTING;

EID: 84902176459     PISSN: 08828156     EISSN: 15200434     Source Type: Journal    
DOI: 10.1175/WAF-D-13-00107.1     Document Type: Article

References (15)

1. Andra, D. L., Jr., E. M. Quoetone, and W. F. Bunting, 2002: Warning decision making: The relative roles of conceptual models, technology, strategy, and forecaster expertise on 3 May 1999. Wea. Forecasting, 17, 559-566, doi:10.1175/1520-0434(2002)017,0559:WDMTRR.2.0.CO;2.
2. Boyatzis, R.E., 1998: Transforming Qualitative Information: Thematic Analysis and Code Development. Sage Publications, 184 pp.
3. Creswell, J. W., 2002: Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Sage Publications, 227 pp.
4. Gao, J., and D. J. Stensrud, 2012:Assimilation of reflectivity data in a convective-scale, cycled 3DVAR framework with hydrometeor classification. J. Atmos. Sci., 69, 1054-1065, doi:10.1175/JAS-D-11-0162.1.
5. Gao, J., M. Xue, K. Brewster, and K. K. Droegemeier, 2004:A threedimensional variational data analysis method with recursive filter for Doppler radars. J. Atmos. Oceanic Technol., 21, 457-469, doi:10.1175/1520-0426(2004)021,0457:ATVDAM.2.0.CO;2.
6. Gao, J., and Coauthors, 2013:A real-time weather-adaptive 3DVAR analysis system for severe weather detections and warnings with automatic storm positioning capability. Wea. Forecasting, 28, 727-745, doi:10.1175/WAF-D-12-00093.1.
7. Ge, G., J. Gao, and M. Xue, 2012:Diagnostic pressure equation as a weak constraint in a storm-scale three-dimensional variational radar data assimilation system. J. Atmos. Oceanic Technol., 29, 1075-1092, doi:10.1175/JTECH-D-11-00201.1.
8. Heinselman, P. L., B. L. Cheong, R. D. Palmer, D. Bodine, and K. Hondl, 2009:Radar refractivity retrievals in Oklahoma:Insights into operational benefits and limitations. Wea. Forecasting, 24, 1345-1361, doi:10.1175/2009WAF2222256.1.
9. Heinselman, P. L., D. S. LaDue, and H. Lazrus, 2012:Exploring impacts of rapid-scan radar data on NWS warning decisions. Wea. Forecasting, 27, 1031-1044, doi:10.1175/WAF-D-11-00145.1.
10. Lusk, C., P. Kucera, W. Roberts, and L. Johnson, 1999:The process and methods used to evaluate prototype operational hydrometeorological workstations. Bull. Amer. Meteor. Soc., 80, 57-64, doi:10.1175/1520-0477(1999)080,0057:TPAMUT.2.0.CO;2.
11. Morss, R. E., and F. M. Ralph, 2007:Use of information by National Weather Service forecasters and emergency managers during CALJET and PACJET-2001. Wea. Forecasting, 22, 539-555, doi:10.1175/WAF1001.1.
12. Smith, T. M., and Coauthors, 2013:Examination of a real-time 3DVAR analysis system in the Hazardous Weather Testbed. Wea. Forecasting, 29, 63-77, doi:10.1175/WAF-D-13-00044.1.
13. Stensrud, D. J., and Coauthors, 2009:Convective-scale warn-onforecast system. Bull. Amer. Meteor. Soc., 90, 1487-1499, doi:10.1175/2009BAMS2795.1.
14. Stensrud, D. J., and Coauthors, 2013:Progress and challenges with warn-on-forecast. Atmos. Res., 123, 2-16, doi:10.1016/j.atmosres.2012.04.004.
15. Stewart, T. R., W. R. Moninger, J. Grassia, R. H. Brady, and F. H. Merrem, 1989:Analysis of expert judgment in a hail forecasting experiment. Wea. Forecasting, 4, 24-34, doi:10.1175/1520-0434(1989)004,0024:AOEJIA.2.0.CO;2.