Statistical Study of Rainfall Inversion Using the Earth-Space Link at the Ku Band: Optimization and Validation for 1 Year of Data

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 largescale monitoring of global rainfall. In this paper, 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 the height of 0 ℃layer from to the radiosonde data of 10 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 20.00%, 15.17%, 8.93%, and 8.99% respectively. The average relative errors (RE) of rain intensity measured by the ESL in convective rainfall and stratiform rainfall are 16.01% and 26.59% respectively.

A Review on Rainfall Measurement Based on Commercial Microwave Links in Wireless Cellular Networks

“…The communication link between two such directional antennas is called a microwave backhaul link, or microwave link for short. As shown in Figure 1, when the microwave propagates through the rain area, the transmitting power will be attenuated due to the scattering and absorption by raindrops [21,22]. This type of microwave attenuation is called rain-induced attenuation, and the relative loss of power per unit path length is called specific attenuation, denoted as k (dB/km).…”

Optimalisasi Saluran Komunikasi Berbasis Gelombang Mikro Sebagai Alternatif Sistem Pemantauan Curah Hujan

“…Zhao dkk [39] melakukan estimasi curah hujan dari data penerimaan SNR satelit Ku-band selama 1 tahun dengan resolusi temporal 1 menit di Nanjing, China. Metode yang digunakan yaitu kombinasi Kalman filter untuk penentuan baseline dan model ITU-R dengan data statistik tinggi hujan 10 tahun untuk konversi ke curah hujan.…”

Real-Time Rainfall Estimation Using Satellite Signals: Development and Assessment of a New Procedure

“…The enhancements offered by the updated system include a data-driven rain event detector, able to automatically identify the presence of rain events along the Earth-satellite link, and an improved procedure to estimate rain attenuation from the received satellite signal, which makes the rain rate prediction fully automated and thus applicable in real-time using any equipment receiving signals transmitted from a satellite operating at Ku band or above. The methods currently available in the literature [12,13,14,15,16] offer elaborate solutions either for the identification of rain events or for the estimation of the rainfall intensity from the received power, while the proposed model covers effectively both aspects: the identification of rain events is achieved by an accurate machine learning technique, and the rain rate prediction relies on a model underpinned by sound physical concepts (e.g. path reduction factors -accounting for the spatial inhomogeneity of precipitation along the link, the dependence of the rain height on the season, and the different impact of stratiform and convective events [8]).…”