Abstract

The large-scale monitoring of rainfall is of great significance in the research of meteorology, hydrology, and atmospheric measurement science. In recent years, with the quick development of communication satellite constellation, the use of earth-space link (ESL) to measure rainfall in the atmosphere is expected to be a potential approach for the large-scale monitoring of global rainfall. In this article, to verify the long-term performance of rainfall measurement using ESL, the data of an ESL at the Ku band and a Thies Laser Precipitation Monitor (LPM) in Nanjing were collected. The rainfall inversion model using ESL was optimized according to the height of 0 °C-layer from the radiosonde data of ten years, and the inversion results in the different types of rainfall were discussed. The results show that the rainfall inversed by the optimized ESL model are in good agreement with the rainfall measured by LPM (correlative coefficient is 0.985), the relative errors of rain intensity inversed by ESL in light rain, moderate rain, heavy rain, and extreme rain are 20%, 15.17%, 8.93%, and 8.99%, respectively. The average relative errors of rain intensity measured by the ESL in convective rainfall and stratiform rainfall are 16.01% and 26.59%, respectively.

Highlights

  • AS a common weather phenomenon in the troposphere, rainfall affects all the aspects of the human and society

  • To verify whether the atmospheric 0 °C-Layer height h0 obtained by radiosonde can obtain better measurement results in the model of Earth-space link (ESL) inversion rainfall, we compare the rainfall inversed by ESL with the rainfall measured by Thies Laser Precipitation Monitor (LPM)

  • In the retrieval of rainfall using the ESL, regardless of whether h0 is based on the measured values obtained by radiosonde or the recommended values given by ITU-R, the inversion results of rainfall obtained by these ways are in good agreement with those of the Thies LPM

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Summary

Introduction

AS a common weather phenomenon in the troposphere, rainfall affects all the aspects of the human and society. The real-time monitoring of rainfall with high precision and high temporal and spatial resolution is of great significance in the meteorological and hydrological science and application [2]. The operational methods for the measurement and inversion of near-surface rainfall are rain gauges, weather radars and meteorological satellites [3]. Rain gauges can accurately measure rainfall on the ground, and weather radars and. The authors are with the College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410003, China Through the data fusion of rain gauges, weather radars, and meteorological satellites, it is expected to obtain the precipitation field with higher precision and temporal and spatial resolution. Limited by the high cost and complex maintenance requirements, rain gauges and weather radars are unevenly distributed all over the world

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