Air Force Weather Agency Fly - Fight - Win Satellite Data Satellite Data Assimilation at the Assimilation at the U.S. Air Force U.S. Air Force Weather Agency Weather Agency JCSDA Science Workshop 2009 JCSDA Science Workshop 2009 John Zapotocny Chief Scientist Approved for Public Release – Distribution Unlimited
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Air Force Weather Agency Fly - Fight - Win Satellite Data Assimilation at the U.S. Air Force Weather Agency JCSDA Science Workshop 2009 Satellite Data.
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Air Force Weather AgencyFly - Fight - Win
Satellite DataSatellite DataAssimilation at theAssimilation at the
U.S. Air ForceU.S. Air ForceWeather AgencyWeather Agency
Central America, North Africa, and South Asia are 20km; all other parent windows are 15km.
Fly - Fight - Win
JCSDA ProjectsJCSDA Projects
DoD requirements demand improved cloud, aerosol, and surface trafficability forecasts JCSDA Projects underway to:
Enhance cloud height and type specification Improve accuracy of cloud forecasts Couple land/air model assimilation and forecasts Improve accuracy/resolution of cloud, land, dust, and regional
NWP models
Long-Term Goal is coupled/unified data assimilation and forecast system AFWA Coupled Analysis & Prediction System
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(1 x 1 km grid spacing)
• Spatial resolution: Horizontal: 1 x 1 km, Vertical: # of layers in model (SFC to 10mb)• Temporal resolution: 1hr steps for 0-12hrs, 3hr steps for 12-24hrs, 12hr steps for 24-72hrs• Quantify aerosol/cloud “amount” on 1km grid for each layer of model
• Predict slant path (visible/IR) detection by integrating layered cloud/aerosol forecasts• For visual acquisition, output defaults to CFLOS-like product that accounts for aerosols as well as clouds.• For IR acquisition, output defaults to TDA product since we must account for sensor type, target temp, background temp, etc. in addition to slant path clouds, aerosols.
AIRS Cloud RetrievalAIRS Cloud RetrievalHyperspectral DA for Cloud SpecificationHyperspectral DA for Cloud Specification
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RetrievedObserved
Retrieval with CRTM achieves close match with measurements Tracks transition from clear to cloudy
Retrieved vs. measured cloudy AIRS spectraAIRS 11-μm brightness temperature (K)AIRS 11-μm brightness temperature (K)
Fly - Fight - Win
NOGPS WGPS WGPS_250mb WGPS_damp3 WGPS_10mb
WGPS_250mb vs. WGPS & WGPS_250mb vs. NOGPS:Assimilation of COSMIC data only in troposphere sustains positive impacts in troposphere and decreases the RMSE of T forecasts in stratosphere as shown in WGPS. WGPS_damp3 vs. WGPS:The enhanced damping at the model top only marginally changes the RMSE of T(U) forecasts.
WGPS_10mb vs. WGPS:Moving the model top to 10mb decreases the RMSE of U and T forecasts in the stratosphere.