Work has been primarily focussed on three tasks: (1) comparison of wind fields produced at MSFC with the CO2 autowind/autoeditor system newly installed in NESDIS operations; (2) evaluation of techniques for improved tracer selection through use of cloud classification predictors; and (3) development of height assignment algorithm with water vapor channel radiances. The contract goal is to improve the CIMSS wind system by developing new techniques and assimilating better existing techniques. The work reported here was done in collaboration with the NESDIS scientists working on the operational winds software, so that NASA funded research can benefit NESDIS operational algorithms
Recent developments in mesometeorology are summarized to place this research in perspective. Recent ...
This study demonstrates methods to obtain high-density, satellite-derived atmospheric motion vectors...
The Air Force Weather Agency (AFWA) runs the Penn State/NCAR Mesoscale Model 5 (MM5) as their main m...
The research objectives in this proposal were part of a continuing program at UW-CIMSS to develop an...
Significant progress was attained in this reporting period towards the overall goal of improving the...
Motions deduced in animated water vapor imagery from geostationary satellites can be used to infer w...
The latest version of the automated cloud motion vector software has yielded significant improvement...
Current NESS winds operations provide approximately 1800 high quality wind estimates per day to abou...
Water vapor imagery from geostationary satellites has been available for over a decade. These data a...
Preliminary results from NWP impact studies are indicating that upper-tropospheric wind information ...
Water vapor imagery from the geostationary satellites such as GOES, Meteosat, and GMS provides synop...
This study will involve two objectives: (1) to develop, through computer simulations, optimal satell...
An automatic cloud tracking system based on the computation of the cross-covariance between satellit...
Work was divided between the analysis/forecast model development and evaluation of the impact of sat...
The automatic cloud tracking system was applied to METEOSAT 6.7 micrometers water vapor measurements...
Recent developments in mesometeorology are summarized to place this research in perspective. Recent ...
This study demonstrates methods to obtain high-density, satellite-derived atmospheric motion vectors...
The Air Force Weather Agency (AFWA) runs the Penn State/NCAR Mesoscale Model 5 (MM5) as their main m...
The research objectives in this proposal were part of a continuing program at UW-CIMSS to develop an...
Significant progress was attained in this reporting period towards the overall goal of improving the...
Motions deduced in animated water vapor imagery from geostationary satellites can be used to infer w...
The latest version of the automated cloud motion vector software has yielded significant improvement...
Current NESS winds operations provide approximately 1800 high quality wind estimates per day to abou...
Water vapor imagery from geostationary satellites has been available for over a decade. These data a...
Preliminary results from NWP impact studies are indicating that upper-tropospheric wind information ...
Water vapor imagery from the geostationary satellites such as GOES, Meteosat, and GMS provides synop...
This study will involve two objectives: (1) to develop, through computer simulations, optimal satell...
An automatic cloud tracking system based on the computation of the cross-covariance between satellit...
Work was divided between the analysis/forecast model development and evaluation of the impact of sat...
The automatic cloud tracking system was applied to METEOSAT 6.7 micrometers water vapor measurements...
Recent developments in mesometeorology are summarized to place this research in perspective. Recent ...
This study demonstrates methods to obtain high-density, satellite-derived atmospheric motion vectors...
The Air Force Weather Agency (AFWA) runs the Penn State/NCAR Mesoscale Model 5 (MM5) as their main m...