2017 •
Simulation analysis of geostionary passive microwave observation for tropical cyclone
Authors:
Ke Chen, A. Gasiewski, Kun Zhang, Gongwei Li, Wei Guo, Liang Lang, Anjie Cao
Abstract:
The passive microwave observations from geostationary earth orbit (GEO) are able to enhance the short-time forecasting of tropical cyclones (TCs) due to its ability to track and detect the internal structure of TCs. To assess the operational capabilities of the candidate GEO microwave instruments, the numerical simulations of GEO microwave observation for the three TC cases were carried out. This paper compares the abilities of 3 candidate passive microwave sensors, based on GEM/GOMAS, GeoSTAR and GIMS-II respectively, to observe the upwelling (...)
The passive microwave observations from geostationary earth orbit (GEO) are able to enhance the short-time forecasting of tropical cyclones (TCs) due to its ability to track and detect the internal structure of TCs. To assess the operational capabilities of the candidate GEO microwave instruments, the numerical simulations of GEO microwave observation for the three TC cases were carried out. This paper compares the abilities of 3 candidate passive microwave sensors, based on GEM/GOMAS, GeoSTAR and GIMS-II respectively, to observe the upwelling brightness temperatures of TCs at 50–57GHz band. The analysis is based on WRF model variables and radiative transfer mode DOTLRT. (Read More)
Ke Chen, Al. Gasiewski, Kun Zhang, Gongwei Li, Wei Guo, Liang Lang, Anjie Cao
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ·
2017
Meteorology |
Remote sensing |
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