Abstract
This Special Issue hosts papers on all aspects of remote sensing of precipitation, including applications that embrace the use of remote-sensing techniques of precipitation in tackling issues, such as precipitation estimations and retrievals, along with their methodologies and corresponding error assessment; precipitation modelling including validation, instrument comparison, and calibration; understanding of cloud and precipitation microphysical properties; precipitation downscaling; precipitation droplet size distribution; assimilation of remotely sensed precipitation into numerical weather prediction models; and measurement of precipitable water vapor.
Highlights
Precipitation is a key meteorological variable and one of the most important pillars in the global water and energy balances
Through the scientific contributions contained in this volume, this Special Issue aims at exposing the scientific community to the current advances in many important areas of the remote sensing of precipitation
Anagnostou et al [1] evaluate the advantages of using X-band polarimetric (XPOL) radar as a means to fill the coverage gaps and improve complex terrain precipitation estimation and associated hydrological applications based on a field experiment conducted in an area of Northeast Italian Alps characterized by large elevation differences
Summary
Precipitation is a key meteorological variable and one of the most important pillars in the global water and energy balances. On the one hand, the accurate and timely understanding of its characteristics at the local, regional, and global scales is vital for an insightful understanding of the mechanisms underlying the Earth’s atmosphere–ocean complex system; on the other hand, the timely issuance of flood warnings, drought monitoring, and effective water resource management is crucial in some areas. Due to precipitation heterogeneity across a broad spectrum of spatiotemporal scales, rain gauge observations most often represent only the local conditions and can result in potential errors when interpolated to larger scales, especially in areas characterized by complex terrain. Through the scientific contributions contained in this volume, this Special Issue aims at exposing the scientific community to the current advances in many important areas of the remote sensing of precipitation. The articles are presented in alphabetical order based on the first author’s name
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