DART/WRF: A community mesoscale ensemble data assimilation facility
Jeffrey Anderson, NCAR, Boulder, CO; and N. Collins, J. Hacker, G. S. Romine, C. Snyder, H. Liu, T. Hoar, D. C. Dowell, and R. Torn
The Data Assimilation Research Testbed (DART) provides open-source,
state-of-the-art software tools for ensemble data assimilation.
DART includes interfaces that allow it to be used with regional,
global, nested, and single-column domains with the latest releases of the
Advanced Research WRF model. DART can assimilate in situ observations
as well as radar reflectivity and radial velocity, GPS radio occultation,
tropical storm position and intensity, and QuikSCAT winds. DART includes
adaptive inflation, localization, and observation thinning tools that can
produce high-quality, computationally efficient ensemble assimilations on
a variety of parallel computing platforms. DART comes with an assortment of
analysis tools that facilitate evaluating forecast quality, model
systematic error, and the sensitivity of forecasts to initial conditions.
Sample results are shown for ensemble analysis and prediction of convection
over the United States and tropical storms in the Pacific and Atlantic.
Poster Session 2, Poster session II
Wednesday, 19 August 2009, 2:30 PM-4:00 PM, Arches/Deer Valley
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