Abstract
The mesoscale numerical model WRF is used to simulate the No. 8 hurricane Matthew in 2016. The radar and radiometer observations are assimilated by WRF Var. With the verification to the real situation, the process of the hurricane rainstorm is well simulated by WRF in this case that it could basically show the hurricane evolution. We use the simulation results which are model outputs with high spatial and temporal resolution to do diagnostic analysis on the short term heavy rainstorm caused by Matthew, with a comparison between the best track and forecasting tracks using active and passive microwave observations from WRFDA model. In order to analyze the inner structure, the nadiral satellite-based observations were matched between the Microwave Humidity and Temperature Sounder (MWHTS) instrument aboard the FY-3C polar-orbiting platform since Sept 30, 2013 and dual-frequency radar named PR aboard GPM satellite and then separate retrievals are demonstrated in data assimilation for extreme weather with the retrieved root-mean-square errors of about 0.9 K and 17% and 10 mm/h for precipitation products, which demonstrates the impact of 118 GHz observations in data assimilation model.
Highlights
Accurate profile and hydrometer retrievals around the globe are crucial for applications, such as in extreme weather event cases
In order to analyze the inner structure, the nadiral satellite-based observations were matched between the Microwave Humidity and Temperature Sounder (MWHTS) instrument aboard the FY-3C polar-orbiting platform since Sept 30, 2013 and dual-frequency radar named PR aboard global precipitation measurement (GPM) satellite and separate retrievals are demonstrated in data assimilation for extreme weather with the retrieved root-mean-square errors of about 0.9 K and 17% and 10 mm/h for precipitation products, which demonstrates the impact of 118 GHz observations in data assimilation model
There are several satellites in operation that are equipped with high-frequency microwave sensors, including the Advanced Microwave Sounding Unit B or Microwave Humidity Sounder on the National Oceanic and Atmospheric Administration and Metop series satellites, ATMS on the NPP satellite and MicroWave Humidity and temperature Sounder (MWHTS) on the Chinese FY-3C satellite
Summary
Accurate profile and hydrometer retrievals around the globe are crucial for applications, such as in extreme weather event cases. By estimating the direct interaction of the radiation with atmospheric parameters in atmospheric column, data from microwave radiometers, can be used to provide physically reasonable retrievals. A physical-based retrieval algorithm was introduced by Petty [1] aiming at inverting multichannel microwave radiances to determine physical. The microwave-integrated retrieval system (MiRS, https://www.star.nesdis.noaa.gov/mirs/), which has been operational since 2007 at the National Oceanic and Atmospheric Administration (NOAA), is an inversion algorithm based on physical forward modeling and can invert observed multichannel radiances simultaneously to determine key components of the atmosphere and surface state. This paper adapts two methods to realize data assimilation based on profiles and radiance separately and in combination, and compare with the impacts in 1Dvar model [5]. We summarize and provide suggestions for further research and development of data application about polar-orbital satellite
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
