Research Opportunities from Emerging Atmospheric Observing and Modeling Capabilities

• Published in: Bulletin of the American Meteorological Society 1996-02, Vol.77 (2), p.305-323
• Main Authors: Dabberdt, Walter F., Schlatter, Thomas W.
• Format: Article
• Language: English
• Subjects: Atmosphere; Atmospherics; Earth, ocean, space; Exact sciences and technology; External geophysics; Forecasting models; Meteorology; Modeling; Observational research; Oceans; Other topics in atmospheric geophysics; Precipitation; Radar; Water vapor; Weather forecasting
• ISSN: 0003-0007; 1520-0477
• DOI: 10.1175/1520-0477(1996)077<0305:ROFEAO>2.0.CO;2

The Second Prospectus Development Team (PDT-2) of the U.S. Weather Research Program was charged with identifying research opportunities that are best matched to emerging operational and experimental measurement and modeling methods. The overarching recommendation of PDT-2 is that inputs for weather forecast models can best be obtained through the use of composite observing systems together with adaptive (or targeted) observing strategies employing both in situ and remote sensing. Optimal observing systems and strategies are best determined through a three-part process: observing system simulation experiments, pilot field measurement programs, and model-assisted data sensitivity experiments. Furthermore, the mesoscale research community needs easy and timely access to the new operational and research datasets in a form that can readily be reformatted into existing software packages for analysis and display. The value of these data is diminished to the extent that they remain inaccessible. The composite observing system of the future must combine synoptic observations, routine mobile observations, and targeted observations, as the current or forecast situation dictates. High costs demand fuller exploitation of commercial aircraft, meteorological and navigation [Global Positioning System (GPS)] satellites, and Doppler radar. Single observing systems must be assessed in the context of a composite system that provides complementary information. Maintenance of the current North American rawinsonde network is critical for progress in both research-oriented and operational weather forecasting. Adaptive sampling strategies are designed to improve large-scale and regional weather prediction but they will also improve diagnosis and prediction of flash flooding, air pollution, forest fire management, and other environmental emergencies. Adaptive measurements can be made by piloted or unpiloted aircraft. Rawinsondes can be launched and satellites can be programmed to make adaptive observations at special times or in specific regions. PDT-2 specifically recommends the following forms of data gathering: a pilot field and modeling study should be designed and executed to assess the benefit of adaptive observations over the eastern Pacific for mesoscale forecasts over the contiguous United States; studies should be done over the western Atlantic and Caribbean–Gulf of Mexico regions, particularly during hurricane season; and enhanced observations should be implemented for t