Abstract
Method for rainfall rate estimation with satellite based microwave radiometer data is proposed. A method to consider the geometric relationship of the observed ice particles and microwave radiometer in the estimation of precipitation is shown, and its validity is shown by comparing it with precipitation radar data on the ground. Observations at high altitudes, such as ice particles, differ greatly in the location of the observation point projected on the ground surface and in the upper troposphere where the observations exist. This effect was insignificant when the precipitation was small because ice particles were often absent, but it was found that the effect was large when the precipitation was large. In other words, the proposed method is effective and effective for Advanced Microwave Scanning Radiometer (AMSR) data in Houston, which was shown as an example of a highly developed convective rain cloud with an In the case of Kwajalein, the effect is insignificant. In addition, the proposed method requires an assumption of ice particle height, and it is necessary to make assumptions based on climatic values. In addition, microwaves in the 89 GHz band, which are considered to be sensitive to ice particles, are not only sensitive to ice particles, so it must be taken into account that they are also affected by the presence of non-ice particles.
Highlights
Spencer et al, Liu, and Curry proposed a precipitation estimation algorithm using a microwave radiometer Special Sensor Microwave / Imager (SSM / I) [1]
Liu modified the algorithms such as the beam filling effect (Beam filling effect) to these algorithms, and the microwave radiometer Earth Observation Satellite System: EOS: AMSRE mounted on the Earth observation satellite Advanced Earth Observing Satellite: ADEOSII has the same sensor as the Advanced Microwave Scanning Radiometer (AMSR) itself [2]
The method of considering the geometrical relationship between the observation target ice particles and the microwave radiometer in rainfall estimation was shown, and its validity was shown by comparing it with precipitation radar data on the ground
Summary
Liu, and Curry proposed a precipitation estimation algorithm using a microwave radiometer Special Sensor Microwave / Imager (SSM / I) [1]. Liu modified the algorithms such as the beam filling effect (Beam filling effect) to these algorithms, and the microwave radiometer Earth Observation Satellite System: EOS: AMSRE mounted on the Earth observation satellite Advanced Earth Observing Satellite: ADEOSII has the same sensor as the AMSR itself [2]. AMSR and AMSR-E can use the same estimation algorithm. Current precipitation of AMSR-E The Japan Aeronautics Exploration Agency: JAXA standard product uses a precipitation estimation algorithm by Liu [3]. In precipitation estimation using microwave radiation, the observed brightness temperature in the frequency band around 18 GHz and 89 GHz is generally used [4]. The absorption attenuation of microwaves in the frequency band around 18 GHz and the scattering by ice particles in the frequency band around 89 GHz are taken into account [5]
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