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Assimilation of All-Weather GMI and ATMS Observations into HWRFWe propose a novel Bayesian Monte Carlo Integration (BMCI) technique to retrieve the profiles of temperature, water vapor, and cloud liquid/ice water content from microwave cloudy measurements in the presence of TCs. These retrievals then can either be directly used by meteorologists to analyze the structure of TCs or be assimilated to provide accurate initial conditions for the NWP models. The technique is applied to the data from the Advanced Technology Microwave Sounder (ATMS) onboard Suomi National Polar-orbiting Partnership (NPP) and Global Precipitation Measurement (GPM) Microwave Imager (GMI).
Document ID
20180000662
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Moradi, Isaac (Maryland Univ. Greenbelt, MD, United States)
Evans, Frank (Colorado Univ. Boulder, CO, United States)
McCarty, Will (Maryland Univ. Greenbelt, MD, United States)
Marks, Frank (National Oceanic and Atmospheric Administration Highlands, NJ, United States)
Erickson, Patrick (Chalmers Univ. of Technology Goeteborg, Sweden)
Date Acquired
January 18, 2018
Publication Date
December 11, 2017
Subject Category
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN50544
Meeting Information
Meeting: AGU Fall Meeting
Location: New Orleans, LA
Country: United States
Start Date: December 11, 2017
End Date: December 15, 2017
Sponsors: American Geophysical Union
Funding Number(s)
CONTRACT_GRANT: NNX17AE89G
CONTRACT_GRANT: NNX17AE79A
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.

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