Nowcasting: The promise of new technologies of communication, modeling, and observation

Bulletin of the American Meteorological Society

Volumn 93, Issue 6, 2012, Pages 797-809

  Mass, Clifford ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCIAL AIRCRAFT; COMPUTATIONAL CAPACITY; DATA ASSIMILATION; DATA COLLECTION; DEPARTMENT OF TRANSPORTATION; HIGH RESOLUTION; MONTANA; NOWCASTING; RADAR DATA; REAL-TIME RESPONSE; REPORTING SYSTEMS; ROAD CONDITION; SEATTLE; SHORT-TERM FORECASTS; TROPOSPHERIC AIRBORNE METEOROLOGICAL DATA REPORTING; UNIVERSITY OF WASHINGTON;

AIRCRAFT ACCIDENTS; AIRCRAFT COMMUNICATION; METEOROLOGY; PUBLIC UTILITIES; ROADS AND STREETS;

COMMUNICATION;

EID: 84863691515     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/BAMS-D-11-00153.1     Document Type: Article

References (50)

1. Albers, S. C., 1995: The LAPS wind analysis. Wea. Forecasting, 10, 342-352.
2. J. A. McGinley, D. L. Birkenheuer, and J. R. Smart, 1996: The Local Analysis and Prediction System (LAPS): Analyses of clouds, precipitation, and temperature. Wea. Forecasting, 11, 273-287.
3. Ancell, B., C. F. Mass, and G. J. Hakim, 2011: Evaluation of surface analyses and forecasts with a multiscale ensemble Kalman filter in regions of complex terrain. Mon. Wea. Rev., 139, 2008-2024.
4. Baars, J., and C. Mass, 2005: Performance of National Weather Service forecasts compared to operational, consensus, and weighted model output statistics. Wea. Forecasting, 20, 1034-1047.
5. Barclay, P. A., and K. E. Wilk, 1970: Severe thunderstorm radar echo motion and related weather events hazardous to aviation operations. ESSA Tech. Memo. ERLTM-NSSL 46, 63 pp. [Available from National Information Service, Operations Division, Springfield, VA 22161.]
6. Battan, L. J., 1973: Radar Observations of the Atmosphere. University of Chicago Press, 324 pp.
7. Benjamin, S. G., K. A. Brewster, R. L. Brümmer, B. F. Jewett, T. W. Schlatter, T. L. Smith, and P. A. Stamus, 1991: An isentropic three-hourly data assimilation system using ACARS aircraft observations. Mon. Wea. Rev., 119, 888-906.
8. Coauthors, 2004: An hourly assimilation-forecast cycle: The RUC. Mon. Wea. Rev., 132, 495-518.
9. Browning, K. A., 1982: Nowcasting. Academic Press, 256 pp.
10. C. G. Collier, 1989: Nowcasting of precipitation systems. Rev. Geophys., 27, 345-370.
11. P. R. Larke, P. Menmuir, G. A. Monk, and R. G. Owens, 1982: On the forecasting of frontal rain using a weather radar network. Mon. Wea. Rev., 110, 534-552.
12. Coniglio, M. C., K. L. Elmore, J. S. Kain, S. J. Weiss, M. Xue, and M. L. Weisman, 2010: Evaluation of WRF model output for severe weather forecasting from the 2008 NOAA Hazardous Weather Testbed spring experiment. Wea. Forecasting, 25, 408-427.
13. Derber, J. C., D. F. Parrish, and S. J. Lord, 1991: The new global operational analysis system at the National Meteorological Center. Wea. Forecasting, 6, 538-547.
14. Dixon, M., and G. Wiener, 1993: TITAN: Thunderstorm identification, tracking, analysis, and nowcasting-A radar-based methodology. J. Atmos. Oceanic Technol., 10, 785-797.
15. Golding, B. W., 1998: Nimrod: A system for generating automated very short range forecasts. Meteor. Appl., 5, 1-16.
16. 2000: Quantitative precipitation forecasting in the UK. J. Hydrol., 239, 286-305.
17. Kain, J. S., P. R. Janish, S. J. Weiss, R. S. Schneider, M. E. Baldwin, and H. E. Brooks, 2003: Collaboration between forecasters and research scientists at the NSSL and SPC: The spring program. Bull. Amer. Meteor. Soc., 84, 1797-1806.
18. Coauthors, 2010: Assessing advances in the assimilation of radar data and other mesoscale observations within a collaborative forecasting-research environment. Wea. Forecasting, 25, 1510-1521.
19. Koskinen, J. T., and Coauthors, 2011: The Helsinki testbed: A mesoscale measurement, research, and service platform. Bull. Amer. Meteor. Soc., 32, 325-342.
20. Lakshmanan, V., T. Smith, G. Stumpf, and K. Hondl, 2007: The Warning Decision Support System-Integrated Information. Wea. Forecasting, 22, 596-612.
21. Liu, Y., and Coauthors, 2008: The operational mesogamma-scale analysis 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. J. Appl. Meteor. Climatol., 47, 1077-1092.
22. Coauthors, 2011: Analysis and forecasting over complex terrain with the NCAR 4D-REKF data assimilation and forecasting system. Extended Abstracts, 14th Conf. on Mesoscale Processes, Los Angeles, CA, Amer. Meteor. Soc., 3.6. [Available online at http://ams.confex.com/ams/14Meso15ARAM/techprogram/paper- 191274.htm.]
23. Lushine, J. B., 1976: Convective growth and movement as seen from GOES-1. Mon. Wea. Rev., 104, 1449-1450.
24. MacDonald, A. E., Y. Xie, and R. H. Ware, 2002: Diagnosis of three-dimensional water vapor using a GPS network. Mon. Wea. Rev., 130, 386-397.
25. Mecikalski, J. R., and Coauthors, 2007: Aviation applications for satellite-based observations of cloud properties, convective initiation, in-flight icing, turbulence, and volcanic ash. Bull. Amer. Meteor. Soc., 88, 1589-1607.
26. K. M. Bedka, S. J. Paech, and L. A. Litten, 2008: A statistical evaluation of GOES cloud-top properties for nowcasting convective initiation. Mon. Wea. Rev., 136, 4899-4914.
27. Moninger, W. R., S. G. Benjamin, B. D. Jamison, T. W. Schlatter, T. L. Smith, and E. J. Szoke, 2010: Evaluation of regional aircraft observations using TAMDAR. Wea. Forecasting, 25, 627-645.
28. Mueller, C., T. Saxen, R. Roberts, J. Wilson, T. Betancourt, S. Dettling, N. Oien, and J. Yee, 2003: NCAR Auto-Nowcast System. Wea. Forecasting, 18, 545-561.
29. National Research Council, 2009: Observing the Weather and Climate from the Ground Up. National Academy Press, 234 pp.
30. Noel, T. M., and A. Fleisher, 1960: The linear predictability of weather radar signals. MIT Dept. of Meteorology Research Rep. 34, 46 pp. [Available from the Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, MA 02139.]
31. Pierce, C. E., P. J. Hardaker, C. G. Collier, and C. M. Haggett, 2000: GANDOLF, a system for generating automated nowcasts of convective precipitation. Meteor. Appl., 7, 341-360.
32. Purdom, J., 1976: Some uses of high-resolution GOES imagery in the mesoscale forecasting of convection and its behavior. Mon. Wea. Rev., 104, 1474-1483.
33. Rabier, F., H. Järvinen, E. Klinker, J.-F. Mahfouf, and A. Simmons, 2000: The ECMWF operational implementation of four-dimensional variational assimilation. I: Experimental results with simplified physics. Quart. J. Roy. Meteor. Soc., 126, 1143-1170.
34. Rothfusz, L. P., M. R. McLaughlin, and S. K. Rinard, 1998: An overview of NWS weather support for the XXVI Olympiad. Bull. Amer. Meteor. Soc., 79, 845-860.
35. Schroeder, A. J., D. R. Stauffer, N. L. Seaman, A. Deng, A. M. Gibbs, G. K. Hunter, and G. S. Young, 2006: An automated high-resolution, rapidly relocatable meteorological nowcasting and prediction system. Mon. Wea. Rev., 134, 1237-1265.
36. Scofield, R. A., 1987: The NESDIS operational convective precipitation estimation technique. Mon. Wea. Rev., 115, 1773-1793.
37. C. C. Weiss, 1977: A report on the Chesapeake Bay region nowcasting experiment. NOAA Tech. Memo. NESS 94, 52 pp.
38. Skamarock, W. C., J. B. Klemp, J. Dudhia, D. O. Gill, D. M. Barker, W. Wang, and J. G. Powers, 2007: A description of the Advanced Research WRF version 2. NCAR Tech. Note NCAR/TN-468+STR, 88 pp.
39. Smith, M., 2010: Warnings: The True Story of How Science Tamed the Weather. Greenleaf Book Group Press, 304 pp.
40. Smith, T. L., S. G. Benjamin, J. M. Brown, S. Weygandt, T. Smirnova, and B. Schwartz, 2008: Convection forecasts from the hourly updated, 3-km highresolution rapid refresh (HRRR) model. Preprints, 24th Conf. on Severe Local Storms, Savannah, GA, Amer. Meteor. Soc., 11.1.
41. Smith, W. L., V. E. Suomi, F. X. Zhou, and W. P. Menzel, 1982: Nowcasting applications of geostationary satellite atmospheric sounding data. Nowcasting, K. Browning, Ed., Academic Press, 123-135.
42. Stensrud, D. J., and Coauthors, 2009: Convective-scale warn-on-forecast system. Bull. Amer. Meteor. Soc., 90, 1487-1499.
43. Torn, R. D., and G. J. Hakim, 2008: Performance characteristics of a pseudo-operational ensemble Kalman filter. Mon. Wea. Rev., 136, 3947-3963.
44. Wang, D. H., M. Xue, V. Wong, and K. Droegemeier, 1996: Predictions and simulations of convective storms during VORTEX95. Preprints, 11th Conf. on Numerical Weather Prediction, Norfolk, VA, Amer. Meteor. Soc., 301-303.
45. Wilk, K. E., and K. C. Gray, 1970: Processing and analysis techniques used with the NSSL weather radar system. Preprints, 14th Conf. on Radar Meteorology, Tucson, AZ, Amer. Meteor. Soc., 369-374.
46. Wilson, J. W., 1966: Movement and predictability of radar echoes. National Severe Storms Laboratory Tech. Memo ERTM-NSSL-28, 30 pp. [Available from National Information Service, Operations Division, Springfield, VA 22161.]
47. K. E. Wilk, 1982: Nowcasting applications of Doppler radar. Nowcasting, K. Browning, Ed., Academic Press, London, 87-105.
48. Y. Feng, M. Chen, and R. D. Roberts, 2010: Nowcasting challenges during the Beijing Olympics: Successes, failures, and implications for future nowcasting systems. Wea. Forecasting, 25, 1691-1714.
49. Xue, M., D.-H. Wang, J.-D. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS) storm-scale numerical weather prediction and data assimilation. Meteor. Atmos. Phys., 82, 139-170.
50. Zhang, F., Y. Weng, J. A. Sippel, Z. Meng, and C. H. Bishop, 2009: Cloud-resolving hurricane initialization and prediction through assimilation of Doppler radar observations with an ensemble Kalman filter. Mon. Wea. Rev., 137, 2105-2125.