On the potential for reconstructing the moisture field using commercial microwave network data

TL;DR

This paper explores reconstructing the Earth's humidity field using commercial microwave network data, demonstrating a novel, cost-effective method with promising accuracy for meteorological monitoring and forecasting.

Contribution

It introduces a new approach to measure humidity by leveraging commercial microwave links, showing its potential to enhance weather prediction models.

Findings

Correlation between microwave data and humidity gauges: 0.6 to 0.92

Root mean square differences: 1.9 to 4.15 g/m^3

Improved humidity measurement performance with multiple links

Abstract

The atmospheric greenhouse effect and the hydrological cycle of Earth are key components enabling the planet to support life. Water vapor is a central element in both of these, accounting for approximately half of the present day greenhouse effect, and comprising the most important gaseous source of atmospheric infrared opacity. Specifically, it functions as the fuel for the development of convective storm clouds. This parameter, however, is considered one of the least studied due to the limitations of conventional monitoring instruments. The current predominate monitoring tools are humidity gauges and satellites which suffer from a lack of spatial representativeness and difficulties in measuring at ground level altitudes, respectively. This study demonstrates for the first time the potential to reconstruct the 2-Dimensional humidity field using commercial microwave links which form the infrastructure for data transmission in cellular networks. Water vapor attenuates the waves transmitted by the system and thus these microwave links can potentially form as a virtual network for monitoring the humidity field. The results show a correlation of between 0.6 and 0.92 with root mean square differences ranging from 1.9 to 4.15 gr/m^3 between conventional humidity gauges and the humidity estimates calculated for the same points in space by the proposed technology. The results obtained are the first to point out the improved performance of humidity measurements when using data from multiple microwave links. These results indicate the tremendous potential of this novel approach for improving the initialization of meteorological forecasting models thus potentially improving the ability to cope with the dangers associated with extreme weather.