Use of information by National Weather Service Forecasters and Emergency Managers during CALJET and PACJET-2001

Weather and Forecasting

Volumn 22, Issue 3, 2007, Pages 539-555

  Morss, Rebecca E ^a   Ralph, F Martin ^b  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALIFORNIA LAND-FALLING JETS; EMERGENCY MANAGEMENT DECISION MAKING; PACIFIC LAND-FALLING JETS;

CLIMATE CHANGE; DECISION MAKING; FLOODS; HAZARDS; LANDSLIDES; STORMS;

WEATHER FORECASTING;

DATA PROCESSING; DECISION MAKING; OBSERVATIONAL METHOD; STORM; WEATHER FORECASTING; WINTER;

NORTH AMERICA;

EID: 34447644435     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/WAF1001.1     Document Type: Article

References (65)

1. Allen, G., 1981: Aiding the weather forecaster: Comments and suggestions from a decision analytic perspective. Aust. Meteor. Mag., 29, 25-29.
2. Allen, G., 1982: Probability judgment in weather forecasting. Preprints, Ninth Conf. on Weather Forecasting and Analysis, Seattle, WA, Amer. Meteor. Soc., 1-6.
3. Anderson-Berry, L., T. Keenan, J. Bally, R. Pielke, R. Leigh, and D. King, 2004: The societal, social, and economic impacts of the World Weather Research Programme Sydney 2000 Forecast Demonstration Project. Wea. Forecasting, 19, 168-178.
4. 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.
5. Baars, J. A., and C. F. Mass, 2005: Performance of National Weather Service forecasts compared to operational, consensus, and weighted model output statistics. Wea. Forecasting, 20, 1034-1047.
6. Bader, M. J., K. A. Browning, G. S. Forbes, V. J. Oliver, and T. W. Schlatter, 1988: Towards improved subjective interpretation of satellite and radar imagery in weather forecasting: Results of a workshop. Bull. Amer. Meteor. Soc., 69, 764-769.
7. Brooks, H. E., C. A. Doswell III, and R. A. Maddox, 1992: On the use of mesoscale and cloud-scale models in operational forecasting. Wea. Forecasting, 7, 120-132.
8. Browning, K. A., 1989: The mesoscale data base and its use in mesoscale forecasting. Quart. J. Roy. Meteor. Soc., 115, 717-762.
9. Bryman, A., 2001: Social Research Methods. Oxford University Press, 540 pp.
10. Clemen, R. T., 1989: Combining forecasts: A review and annotated bibliography. Int. J. Forecasting, 5, 559-583.
11. Clemen, R. T., and A. H. Murphy, 1986: Objective and subjective probability forecasts: Statistical analysis of some interrelationships. Wea. Forecasting, 1, 56-65.
12. Coffey, A., and P. Atkinson, 1996: Making Sense of Qualitative Data: Complementary Research Strategies. Sage Publications, 216 pp.
13. Colman, B., D. Bright, M. Jackson, R. Miller, J. Mittelstadt, and M. Staudenmaier, 2002: IFPS implementation, design, and impact on NWS field forecaster performance - A Whitepaper. 17 pp. [Available online at http://www.weather.gov/ost/ifps_sst/pdf_docs/Final_Whitepaper.pdf.]
14. Corfidi, S. F., and K. E. Comba, 1989: The Meteorological Operations Division of the National Meteorological Center. Wea. Forecasting, 4, 343-366.
15. Dabberdt, W. F., and Coauthors, 2005: Multifunctional mesoscale observing networks. Bull. Amer. Meteor. Soc., 86, 961-982.
16. Daly, C., R. P. Neilson, and D. L. Phillips, 1994: A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor., 33, 140-158.
17. Davis, C., B. Brown, and R. Bullock, 2006: Object-based verification of precipitation forecasts. Part I: Methodology and application to mesoscale rain areas. Mon. Wea. Rev., 134, 1772-1784.
18. Doswell, C. A., III, 1986a: Short-range forecasting. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 689-719.
19. Doswell, C. A., III, 1986b: The human element in weather forecasting. Natl. Wea. Dig., 11(2), 6--18.
20. Doswell, C. A., III, 1992: Forecaster workstation design: Concepts and issues. Wea. Forecasting, 7, 398-407.
21. Doswell, C. A., III, 2004: Weather forecasting by humans - Heuristics and decision making. Wea. Forecasting, 19, 1115-1126.
22. Funk, T. W., 1991: Forecasting techniques utilized by the Forecast Branch of the National Meteorological Center during a major convective rainfall event. Wea. Forecasting, 6, 548-564.
23. Glahn, H. R., 2003: Comments on "IFPS and the future of the National Weather Service." Wea. Forecasting, 18, 1299-1304.
24. Glahn, H. R., and D. P. Ruth, 2003: The new digital forecast database of the National Weather Service. Bull. Amer. Meteor. Soc., 84, 195-201.
25. Godschalk, D. R., 1991: Disaster mitigation and hazard management. Emergency Management: Principles and Practices for Local Government, T. E. Drabek and G. J. Hoetmer, Eds., International City Management Association, 131-160.
26. Heideman, K. F., T. R. Stewart, W. R. Moninger, and P. Reagan-Cirincione, 1993: The Weather Information and Skill Experiment (WISE): The effect of varying levels of information on forecast skill. Wea. Forecasting, 8, 25-36.
27. Hoffman, R. R., 1991: Human factors psychology in the support of forecasting: The design of advanced meteorological workstations. Wea. Forecasting, 6, 98-110.
28. Huberman, A. M., and M. B. Miles, 1998: Data management and analysis methods. Collecting and Interpreting Qualitative Materials, N. K. Denzin and Y. S. Lincoln, Eds., Sage Publications, 179-210.
29. Jorgensen, D. L., 1989: Participant Observation: A Methodology for Human Studies. Sage Publications, 136 pp.
30. Koch, K. C., and F. M. Ralph, 2000: The PACJET program and end users. Weatherzine, 25, 2-3.
31. Lofland, J., and L. H. Lofland, 1995: Analyzing Social Settings: A Guide to Qualitative Observation and Analysis. 3d ed. Wadsworth, 288 pp.
32. Lusk, C. M., T. R. Stewart, K. R. Hammond, and R. J. Potts, 1990: Judgment and decision making in dynamic tasks: The case of forecasting the microburst. Wea. Forecasting, 5, 627-639.
33. Mass, C. F., 2003a: IFPS and the future of the National Weather Service. Wea. Forecasting, 18, 75-79.
34. Mass, C. F., 2003b: Reply. Wea. Forecasting, 18, 1305-1306.
35. McArthur, R. C., J. R. Davis, and D. Reynolds, 1987: Scenario-driven automatic pattern recognition in nowcasting. J. Atmos. Oceanic Technol., 4, 29-35.
36. McMurdie, L., and C. Mass, 2004: Major numerical forecast failures over the northeast Pacific. Wea. Forecasting, 19, 338-356.
37. McPherson, R. D., 1991: 2001 - An NMC odyssey. Preprints, Ninth Conf. on Numerical Weather Prediction, Denver, CO, Amer. Meteor. Soc., 1-4.
38. Miles, M. B., and A. M. Huberman, 1994: Qualitative Data Analysis: An Expanded Sourcebook. 2d ed. Sage Publications, 352 pp.
39. Morss, R. E., O. V. Wilhelmi, M. W. Downton, and E. Gruntfest, 2005: Flood risk, uncertainty, and scientific information for decision making: Lessons from an interdisciplinary project. Bull. Amer. Meteor. Soc., 86, 1593-1601.
40. Murphy, A. H., 1991: Probabilities, odds, and forecasts of rare events. Wea. Forecasting, 6, 302-307.
41. Murphy, A. H., 1993: What is a good forecast? An essay on the nature of goodness in weather forecasting. Wea. Forecasting, 8, 281-293.
42. NCDC, 1993-2004: Storm Data. Vols. 35-46. [Available from National Climatic Data Center, 151 Patton Ave., Asheville, NC 28801-5001.]
43. Neiman, P. J., F. M. Ralph, D. P. Jorgensen, A. B. White, and D. E. Kingsmill, 2004: Modification of fronts and precipitation by coastal blocking during an intense landfalling winter storm in southern California: Observations during CALJET. Mon. Wea. Rev., 132, 242-273.
44. NRC, 2004: Partnerships for Reducing Landslide Risk: Assessment of the National Landslide Hazards Mitigation Strategy. National Academy Press, 144 pp.
45. Pliske, R., D. Klinger, R. Hutton, B. Crandall, B. Knight, and G. Klein, 1997: Understanding skilled weather forecasting: Implications for training and the design of forecasting tools. Contractor Rep. AL/ HR-CR-1997-0003, Armstrong Laboratory, U.S. Air Force, 122 pp.
46. Ralph, F. M., 2003: Radar applications to winter-season West Coast research and forecasting in the CALJET and PACJET experiments. Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., J1-J4.
47. Ralph, F. M., and Coauthors, 1999: The California Land-falling Jets Experiment (CALJET): Objectives and design of a coastal atmosphere-ocean observing system deployed during a strong El Niño. Preprints, Third Symp. on Integrated Observing Systems, Dallas, TX, Amer. Meteor. Soc., 78-81.
48. Ralph, F. M., P. J. Neiman, D. E. Kingsmill, P. O. G. Persson, A. B. White, E. T. Strem, E. D. Andrews, and R. C. Antweiler, 2003: The impact of a prominent rain shadow on flooding in California's Santa Cruz mountains: A CALJET case study and sensitivity to the ENSO cycle. J. Hydrometeor., 4, 1243-1264.
49. Ralph, F. M., P. J. Neiman, and R. Rotunno, 2005: Dropsonde observations in low-level jets over the northeastern Pacific Ocean from CALJET-1998 and PACJET-2001: Mean vertical-profile and atmospheric-river characteristics. Mon. Wea. Rev., 133, 889-910.
50. Reynolds, D., 2003: Value-added quantitative precipitation forecasts: How valuable is the forecaster? Bull. Amer. Meteor. Soc., 84, 876-878.
51. Roebber, P. J., and L. F. Bosart, 1996: The contributions of education and experience to forecast skill. Wea. Forecasting, 11, 21-40.
52. Roebber, P. J., D. M. Schultz, B. A. Colle, and D. J. Stensrud, 2004: Toward improved prediction: High-resolution and ensemble modeling systems in operations. Wea. Forecasting, 19, 936-949.
53. Ross, T. F., and J. N. Lott, 2003: A climatology of 1980-2003 extreme weather and climate events. National Climatic Data Center Tech. Rep. 2003-01, 15 pp.
54. Schensul, S. L., J. J. Schensul, and M. D. LeCompte, 1999: Essential Ethnographic Methods: Observations, Interviews, and Questionnaires. Altamira Press, 336 pp.
55. Schlatter, T. W., 1985: A day in the life of a modern mesoscale forecaster. ESA J., 9, 235-256.
56. Seguin, W. R., 2002: AWIPS - An end-to-end look. Preprints, 18th Int. Conf. on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, Orlando, FL, Amer. Meteor. Soc., J47-J51.
57. Snellman, L. W., 1977: Operational forecasting using automated guidance. Bull. Amer. Meteor. Soc., 58, 1036-1044.
58. Spangler, T. C., V. C. Johnson, R. L. Alberty, B. E. Heckman, L. Spayd, and E. Jacks, 1994: COMET: An education and training program in mesoscale meteorology. Bull. Amer. Meteor. Soc., 75, 1249-1259.
59. Stewart, T. R., R. W. Katz, and A. H. Murphy, 1984: Value of weather information: A descriptive study of the fruit-frost problem. Bull. Amer. Meteor. Soc., 65, 126-137.
60. 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.
61. Targett, P. S., 1993: Predicting the future of the meteorologist - A forecaster's view. Bull. Aust. Meteor. Oceanogr. Soc., 7, 46-52.
62. Weiss, R. S., 1994: Learning from Strangers: The Art and Method of Qualitative Interview Studies. The Free Press, 256 pp.
63. Wilson, L., and B. Ebert, cited 2005: What does "hedging" a forecast mean, and how do some scores encourage hedging? [Available online at http://www.bom.gov.au/bmrc/wefor/staff/eee/verif/ FAQ-Hedging2.html.]
64. Winkler, R, L., A. H. Murphy, and R. W. Katz, 1977: The consensus of subjective probability forecasts: Are two, three ... heads better than one? Preprints, Fifth Conf. on Probability and Statistics in the Atmospheric Sciences, Las Vegas, NV, Amer. Meteor. Soc., 57-62.
65. Yin, R. K., 1994: Case Study Research: Design and Methods. 2d ed. Sage Publications, 171 pp.