Upgrading the North American Upper-Air Observing Network: What are the Possibilities?

Bulletin of the American Meteorological Society

Volumn 77, Issue 5, 1996, Pages 907-924

  Douglas, Michael W ^a   Stensrud, David J ^a  

^a NATIONAL SEVERE STORMS LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR OBSERVING NETWORK; METHOD EVALUATION; NATIONAL WEATHER SERVICE; NUMERICAL WEATHER PREDICTION; RAWINSONDE NETWORK; WEATHER FORECAST;

NORTH AMERICA;

EID: 0030425216     PISSN: 00030007     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0477(1996)077<0907:UTNAUA>2.0.CO;2     Document Type: Article

References (65)

1. Benjamin, S. G., K. A. Brewster, R. 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.
2. Benton, G. S., and M. Estoque, 1954: Water vapor transfer over the North American Continent. J. Meteor., 11, 462-477.
3. Black, T. L., 1994: The new NMC mesoscale eta model: Description and forecast examples. Wea. Forecasting, 9, 265-278.
4. Boccippio, D. J., 1995: A diagnostic analysis of the VVP single-Doppler retrieval technique. J. Atmos. Oceanic Technol., 12, 230-248.
5. Bonner, W. D., 1966: Case study of thunderstorm activity in relation to the low-level jet. Mon. Wea. Rev., 94, 167-178.
6. _, 1989: NMC overview: Recent progress and future plans. Wea. Forecasting, 4, 275-285.
7. Brooks, H. E., and C. A. Doswell III, 1993: New technology and numerical weather prediction - A wasted opportunity? Weather, 48, 173-177.
8. _, _, and R. A. Maddox, 1992: On the use of mesoscale and cloud-scale models in operational forecasting. Wea. Forecasting, 7, 120-132.
9. Browning, K. A., and R. Wexler, 1968: The determination of kinematic properties of a wind field using Doppler radar. J. Appl. Meteor., 7, 105-113.
10. _, and G. Szejwach, 1994: Developments in observational systems for weather forecasting. Meteor. Appl., 1, 3-22.
11. Burpee, R. W., D. G. Marks, and R. T. Merrill, 1984: An assessment of omega dropwindsonde data in track forecasts of Hurricane Debby (1982). Bull. Amer. Meteor. Soc., 65, 1050-1058.
12. Derber, J. C., D. F. Parrish, W.-S. Wu, Z. Pu, and S. R. H. Rizvi, 1994: Improvements to the operational SSI global analysis system. Preprints, 10th Conf. on Numerical Weather Prediction, Portland, OR, Amer. Meteor. Soc., 149-150.
13. DiMego, G. J., 1988: The National Meteorological Center regional analysis system. Mon. Wea. Rev., 116, 977-1000.
14. Douglas, M. W., 1990: The selection and use of dropwindsonde-equipped aircraft for operational forecasting applications. Bull. Amer. Meteor. Soc., 71, 1745-1757.
15. _, 1991: Cost-effective upper wind observing networks for developing countries. The SWAMP example. Extended Abstracts, Lower Tropospheric Profiling. Needs and Technologies, NCAR, NOAA Wave Propagation Lab., Amer. Meteor. Soc., German Meteor. Soc., 115-116.
16. _, 1995: The summertime low-level jet over the Gulf of California. Mon. Wea. Rev., 123, 2334-2347.
17. Doyle, J. D., and T. T. Warner, 1988: Verification of mesoscale objective analyses of VAS and rawinsonde data using the March 1982 AVE/VAS special network data. Mon. Wea. Rev., 116, 358-367.
18. FCMP1, 1993: The federal plan for meteorological services and supporting research: Fiscal year 1994. [Available from Federal Coordinator for Meteorological Services and Supporting Research, 6100 Executive Blvd., Suite 900, Rockville, MD 20852.]
19. Fox-Rabinovitz, M. S., and R. S. Lindzen, 1993: Numerical experiments on consistent horizontal and vertical resolution for atmospheric models and observing systems. Mon. Wea. Rev., 121, 264-271.
20. Friday, E. W., 1994: The modernization and associated restructuring of the National Weather Service: An overview. Bull. Amer. Meteor. Soc., 75, 43-52.
21. Fritsch, J. M., R. J. Kane, and C. R. Chelius, 1986: The contribution of mesoscale convective systems to the warm-season precipitation in the United States. J. Climate Appl. Meteor., 25, 1333-1345.
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. Gaffen, D. J., and W. P. Elliott, 1993: Effects of conversion algorithms on reported upper-air dewpoint depressions. Bull. Amer. Meteor. Soc., 74, 1323-1325.
24. Gal-Chen, T., B. D. Schmidt, and L. W. Uccellini, 1986: Simulation experiments for testing the assimilation of geostationary satellite temperature retrievals into a numerical prediction model. Mon. Wea. Rev., 114, 1213-1230.
25. Heideman, K. F., and J. M. Fritsch, 1988: Forcing mechanisms and other characteristics of significant summertime precipitation. Wea. Forecasting, 3, 115-130.
26. Holland, G. J., T. McGeer, and H. Youngren, 1992: Autonomous aerosondes for economical atmospheric soundings anywhere on the globe. Bull. Amer. Meteor. Soc., 73, 1987-1998.
27. Hollingsworth, A., D. B. Shaw, P. Lönnberg, L. Illarki, K. Arpe, and A. J. Simmons, 1986: Monitoring of observation and analysis quality by a data assimilation scheme. Mon. Wea. Rev., 114, 861-879.
28. Janjic, Z. I., 1990: The step-mountain coordinate: Physical package. Mon. Wea. Rev., 118, 1429-1443.
29. _, 1994: The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927-945.
30. Kain, J. S., and J. M. Fritsch, 1992: The role of the convective "trigger function" in numerical forecasts of mesoscale convective systems. Meteor. Atmos. Phys., 49, 93-106.
31. Kalnay, E., G. DiMego, S. Lord, M. Kanamitsu, A. Leetmaa, and D. B. Rao, 1994: NMC modeling and data assimilation plans for 1994-1998. Preprints, 10th Conf. on Numerical Weather Prediction, Portland, OR, Amer. Meteor. Soc., 143-148.
32. Koscielny, A. J., R. J. Doviak, and R. Rabin, 1982: Statistical considerations in the estimation of divergence from single-Doppler radar and application to prestorm boundary-layer observations. J. Appl. Meteor., 21, 197-210.
33. Kuo, Y.-H., and Y.-R. Guo, 1989: Dynamic initialization using observations from a hypothetical network of profilers. Mon. Wea. Rev., 117, 1975-1998.
34. _, E. G. Donall, and M. A. Shapiro, 1987: Feasibility of shortrange numerical weather prediction using observations from a network of profilers. Mon. Wea. Rev., 115, 2402-2427.
35. Langford, J. S., and K. A. Emanuel, 1993: An unmanned aircraft for dropwindsonde deployment and hurricane reconnaissance. Bull Amer. Meteor. Soc., 74, 367-375.
36. Lemaitre, Y., and P. Brovelli, 1990: Role of a low level jet in triggering and organizing moist convection in a baroclinic atmosphere. A case study: 18 May 1984. J. Atmos. Sci., 47, 82-100.
37. Louis, J.-F., R. N. Hoffman, T. Nehrkorn, and D. Norquist, 1989: Observing system experiments using the AFGL four-dimensional data assimilation system. Mon. Wea. Rev., 117, 2186-2203.
38. Martner, B. E., D. B. Wuertz, B. B. Stankov, R. G. Strauch, E. R. Westwater, K. S. Gage, W. L. Eklund, C. L. Martin, and W. F. Dabberdt, 1993: An evaluation of wind profiler, RASS amd microwave radiometer performance. Bull. Amer. Meteor. Soc., 74, 599-613.
39. May, P. T., K. P. Moran, and R. G. Strauch, 1989: The accuracy of RASS temperature soundings. J. Appl. Meteor., 28, 1329-1335.
40. McPherson, R. D., 1991: 2001 - An NMC odyssey. Preprints, Ninth Conf. on Numerical Weather Prediction, Denver, CO, Amer. Meteor. Soc., 1-4.
41. _, 1994: The National Centers for Environmental Prediction: Operational climate, ocean, and weather prediction for the 21st century. Bull. Amer. Meteor. Soc., 75, 363-373.
42. Means, L. L., 1954: A study of the mean southerly wind-maximum in low levels associated with a period of summer precipitation in the middle west. Bull. Amer. Meteor. Soc., 35, 166-170.
43. Menzel, W. P., and J. F. W. Purdom, 1994: Introducing GOES-I: The first of a new generation of geostationary operational environmental satellites. Bull. Amer. Meteor. Soc., 75, 757-781.
44. _, W. L. Smith, and T. R. Stewart, 1983: Improved cloud motion wind vector and altitude assignment using VAS. J. Appl. Meteor., 22, 377-384.
45. Pitchford, K. L., and J. London, 1962: The low-level jet as related to nocturnal thunderstorms over midwest United States. J. Appl. Meteor., 1, 43-47.
46. Puri, K., and M. J. Miller, 1990: The use of satellite data in the specification of convective heating for diabatic initialization and moisture adjustment in numerical weather prediction models. Mon. Wea. Rev., 118, 67-93.
47. Rasmusson, E. M., 1967: Atmospheric water vapor transport and the water balance of North America. Part I: Characteristics of the water vapor flux field. Mon. Wea. Rev., 105, 403-426.
48. Reed, R. J., 1977: The development and status of modern weather prediction. Bull. Amer. Meteor. Soc., 58, 390-400.
49. Rocken, C., T. V. Hove, J. Johnson, F. Solheim, R. Ware, M. Bevis, S. Chiswell, and S. Businger, 1995: GPS/STORMGPS sensing of atmospheric water vapor for meteorology. J. Atmos. Oceanic Technol., 12, 468-478.
50. Schwartz, B. E., and C. A. Doswell III, 1991: North American rawinsonde observations: Problems, concerns, and a call to action. Bull. Amer. Meteor. Soc., 72, 1885-1896.
51. Smith, T. L., and S. Benjamin, 1994: Relative impact of data sources on a data assimilation system. Preprints, 10th Conference on Numerical Weather Prediction, Portland, OR, Amer. Meteor. Soc., 491-493.
52. Stauffer, D. R., and N. L. Seaman, 1990: Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: Experiments with synoptic-scale data. Mon. Wea. Rev., 118, 1250-1277.
53. _, and _, 1994: Multiscale four-dimensional data assimilation. J. Appl. Meteor., 33, 416-434.
54. _, _, 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.
55. Stensrud, D. J., and J. M. Fritsch, 1994a: Mesoscale convective systems in weakly forced large-scale environments. Part II: Generation of mesoscale initial conditions. Mon. Wea. Rev., 122, 2068-2083.
56. _, and _, 1994b: Mesoscale convective systems in weakly forced large-scale environments. Part III: Numerical simulations and implications for operational forecasting. Mon. Wea. Rev., 122, 2084-2104.
57. _, M. H. Jain, K. W. Howard, and R. A. Maddox, 1990: Operational systems for observing the lower atmosphere: Importance of data sampling and archival procedures. J. Atmos. Oceanic Technol., 7, 930-937.
58. _, R. L. Gall, S. L. Mullen, and K. W. Howard, 1995: Model climatology of the Mexican monsoon. J. Climate, 8, 1775-1794.
59. Velden, C. S., C. M. Hayden, W. P. Menzel, J. L. Franklin, and J. S. Lynch, 1992: The impact of satellite-derived winds on numerical hurricane track forecasting. Wea. Forecasting, 7, 107-118.
60. Waldteufel, P., and H. Corbin, 1979: On the analysis of single Doppler data. J. Appl. Meteor., 18, 532-542.
61. Wilczak, J. M., and Coauthors, 1995: Contamination of wind profiler data by migrating birds: Characteristics of corrupted data and potential solutions. J. Atmos. Oceanic Technol., 12, 449-467.
62. Wind Profiler Assessment Report, 1994: Recommendations for future use 1987-1994. NOAA, U.S. Dept. of Commerce, Silver Spring, MD, 141 pp. [Available from NOAA Forecast Systems Laboratory, 325 Broadway, Boulder, CO 80303.]
63. Xu, Q., and C.-J. Qiu, 1995: Adjoint-method retrievals of low-altitude wind fields from single-Doppler reflectivity and radial-wind data. J. Atmos. Oceanic Technol., 12, 1111-1119.
64. Zhang, D.-L., and M. J. Fritsch, 1986: A case study of the sensitivity of numerical simulation of mesoscale convective systems to varying initial conditions. Mon. Wea. Rev., 114, 2418-2431.
65. Zheng, Y., Q. Xu, and D. J. Stensrud, 1995: A numerical study of the 7 May 1985 mesoscale convective system. Mon. Wea. Rev., 123, 1781-1799.