Next Article in Journal
Image Collection Simulation Using High-Resolution Atmospheric Modeling
Next Article in Special Issue
ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite
Previous Article in Journal
Photometric Normalization of Chang’e-4 Visible and Near-Infrared Imaging Spectrometer Datasets: A Combined Study of In-Situ and Laboratory Spectral Measurements
Previous Article in Special Issue
GPM-Based Multitemporal Weighted Precipitation Analysis Using GPM_IMERGDF Product and ASTER DEM in EDBF Algorithm

Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus

Institute for Environmental Research & Sustainable Development, National Observatory of Athens, GR15236 Athens, Greece
Department of Meteorology, 1086 Nicosia, Cyprus
Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, 2121 Aglantzia, Cyprus
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(19), 3212;
Received: 27 August 2020 / Revised: 26 September 2020 / Accepted: 29 September 2020 / Published: 1 October 2020
(This article belongs to the Special Issue Remote Sensing of Precipitation: Part II)
Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) high-resolution product and Tropical Rainfall Measuring Mission (TRMM) 3B43 product are validated against rain gauges over the island of Cyprus for the period from April 2014 to June 2018. The comparison performed is twofold: firstly, the Satellite Precipitation (SP) estimates are compared with the gauge stations’ records on a monthly basis and, secondly, on an annual basis. The validation is based on ground data from a dense and well-maintained network of rain gauges, available in high temporal (hourly) resolution. The results show high correlation coefficient values, on average reaching 0.92 and 0.91 for monthly 3B43 and IMERG estimates, respectively, although both IMERG and TRMM tend to underestimate precipitation (Bias values of −1.6 and −3.0, respectively), especially during the rainy season. On an annual basis, both SP estimates are underestimating precipitation, although IMERG estimates records (R = 0.82) are slightly closer to that of the corresponding gauge station records than those of 3B43 (R = 0.81). Finally, the influence of elevation of both SP estimates was considered by grouping rain gauge stations in three categories, with respect to their elevation. Results indicated that both SP estimates underestimate precipitation with increasing elevation and overestimate it at lower elevations. View Full-Text
Keywords: GPM; IMERG; TRMM; precipitation; Cyprus GPM; IMERG; TRMM; precipitation; Cyprus
Show Figures

Graphical abstract

MDPI and ACS Style

Retalis, A.; Katsanos, D.; Tymvios, F.; Michaelides, S. Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus. Remote Sens. 2020, 12, 3212.

AMA Style

Retalis A, Katsanos D, Tymvios F, Michaelides S. Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus. Remote Sensing. 2020; 12(19):3212.

Chicago/Turabian Style

Retalis, Adrianos, Dimitris Katsanos, Filippos Tymvios, and Silas Michaelides. 2020. "Comparison of GPM IMERG and TRMM 3B43 Products over Cyprus" Remote Sensing 12, no. 19: 3212.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop