Editorial for Special Issue “Remote Sensing of Precipitation: Part III”-Reference-Cited by-同舟云学术

Editorial for Special Issue “Remote Sensing of Precipitation: Part III”

Published:2023-06-07 Issue:12 Volume:15 Page:2964
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Michaelides Silas¹^ORCID

Affiliation:

1. Eratosthenes Centre of Excellence, 3036 Limassol, Cyprus

Abstract

This Special Issue of Remote Sensing, which is the third in a series entitled “Remote Sensing of Precipitation”, comprises a collection of ten papers devoted to remote sensing applications for measuring precipitation; these include new satellite technologies for the remote sensing of precipitation, the validation of satellite-based precipitation estimates using rain gauge measurements and surface radar estimates, and comparisons between gridded precipitation data [...]

Funder

European Union’s Horizon 2020 research and innovation program

Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development

Cyprus University of Technology

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2072-4292/15/12/2964/pdf

Reference10 articles.

1. Frank, T., da Silva Junior, C.A., Chutko, K.J., Teodoro, P.E., de Oliveira-Júnior, J.F., and Guo, X. (2022). Is the Gridded Data Accurate? Evaluation of Precipitation and Historical Wet and Dry Periods from ERA5 Data for Canadian Prairies. Remote Sens., 14.

2. Ghorbanian, A., Mohammadzadeh, A., Jamali, S., and Duan, Z. (2022). Performance Evaluation of Six Gridded Precipitation Products throughout Iran Using Ground Observations over the Last Two Decades (2000–2020). Remote Sens, 14.

3. Hartke, S.H., and Wright, D.B. (2022). Where Can IMERG Provide a Better Precipitation Estimate than Interpolated Gauge Data?. Remote Sens., 14.

4. Hsu, J., Huang, W.R., and Liu, P.Y. (2022). Comprehensive Analysis of PERSIANN Products in Studying the Precipitation Variations over Luzon. Remote Sens., 14.

5. Kidd, C., Matsui, T., Blackwell, W., Braun, S., Leslie, R., and Griffith, Z. (2022). Precipitation Estimation from the NASA TROPICS Mission: Initial Retrievals and Validation. Remote Sens., 14.