Using a scenario of multiple mobile observing platforms (UAVs) measuring weather variables in distributed regions of the Pacific, we are developing algorithms that will lead to improved forecasting of high-impact weather events. We combine technologies from the nonlinear weather prediction and planning/control communities to create a close link between model predictions and observed measurement...

The international programme “THORPEX: a World Weather Research Programme” provides a framework in which to tackle the challenge of improving the forecast skill of high-impact weather through international collaboration between academic institutions, operational forecast centres, and users of forecast products. The objectives of the THORPEX Data Assimilation and Observation Strategy Working Grou...

The Weather Research and Forecast (WRF) project is a multi-year/multi-institution collaboration to develop a next generation regional forecast model and data assimilation system for operational numerical weather prediction (NWP) and atmospheric research. Under this project – a collaboration between The National Center for Atmospheric Research (NCAR), Microsoft Corporation, Advanced Micro Device...

The final goal of this project is to provide the US Navy with an increased capability of using Doppler radar observations in the detection and prediction of hazardous weather events that usually have a strong randomness in nature and affect the Navy operations, especially over oceans and in remote areas. By developing a high-resolution data assimilation capability that can effectively assimilat...

Plasma disturbances originating on the Sun, such as coronal mass ejections (CMEs), are a major factor in determining ‘space weather’ in the near-Earth environment. Virtually the only current source of routine observations of these disturbances as they propagate through the interplanetary medium are interplanetary scintillation (IPS) data. We review current work on time-dependent tomographic rec...

Convective weather is responsible for large delays and widespread disruptions in the U.S. National Airspace System (NAS), especially during summer months when travel demand is high. This has been the motivation for Air Traffic Flow Management (ATFM) algorithms that optimize flight routes in the presence of reduced airspace and airport capacities. These models assume either the availability of r...

Weather radar data quality control is extremely important for meteorological and hydrological applications. For weather radars, scatterers in the atmosphere are not only meteorological particles like cloud, rain drops, snowflakes, and hails, but also non-meteorological particles such as chaff, insects, and birds. For radar meteorologists it is a major issue and challenge to design numerical sch...

The final goal of this project is to provide the US Navy with an increased capability of using Doppler radar observations in the detection and prediction of hazardous weather events that usually have a strong randomness in nature and affect the Navy operations, especially over oceans and in remote areas. By developing a high-resolution data assimilation capability that can effectively assimilat...