Performances of GPM satellite precipitation over the two major Mediterranean islands

Abstract

Abstract. Obtaining accurate high-resolution precipitation fields is still a challenging task. Nowadays, continuous technological evolution of satellite-rainfall estimate systems, which are able to produce low-cost data with a global coverage, are giving significant improvements in precipitation monitoring. The Global Precipitation Measurement (GPM) is the most recent satellite mission and a promising source of rainfall estimates at high spatial and temporal resolutions. The aim of this study is to assess the reliability of Integrated Multi-satellitE Retrievals for GPM (IMERG) products for the Sardinia and Sicily (Italy). Given the complex morphology and the different precipitation types, originated by stratiform and convective systems as well as by the interaction of steep orography in the coasts with winds carrying on humid air masses from the Mediterranean Sea, both the islands are interesting test sites for the GPM products in the European mid-latitude area. We selected the GPM post real-time "Final" run product at 0.1° spatial resolution and half-hour temporal resolution for the period 2015-2016. Evaluation and comparison of the selected product, at the hourly and daily time-scales, are performed by evaluating their consistence with measured data provided by the rain gauge networks of the two islands through statistical and graphical tools.

Nine-Year Systematic Evaluation of the GPM and TRMM Precipitation Products in the Shuaishui River Basin in East-Central China

“…Except for RB, the two post-time products (IMERG_F and 3B42) perform significantly better than the rest real-time or near real-time products both annually and seasonally, with a noticeably higher value of CC (e.g., 0.97 and 0.95 annually) as well as considerably lower values of RMSE (e.g., 53.82 and 54.13 mm annually), and MAD (e.g., 35.79 and 37.07 mm annually) ( Table 2). The findings of the overall better performance of the two post-time SPPs products compared to the real-time or near real-time products at the monthly time scale are not surprising, since both are generated after the adjustment of real-time products based on monthly measurements of ground rain gauges [42], although which may not include the 13 rain gauges covered in our study.…”

“…Similar to our study, they have mostly found that the performance of SPPs in estimating hourly rainfall was less satisfactory. For example, Caracciolo et al [53] calculated the CCs to be respectively 0.32 and 0.26 when using the IMERG_F V4 for estimating hourly rainfall in Sardinia and Sicily of Italy. Li et al [54] evaluated the performance of IMERG_F in estimating hourly rainfall in the Ganjiang River Basin of China, and calculated its CC, RMSE, and RB to be 0.33, 1.72 mm/h, and 0.12%, respectively.…”

Evaluation of Hydrological Application of CMADS in Jinhua River Basin, China

“…The description of these symbols refers to Gao et al [36]. The mathematical expressions of these indexes are the following [11,37]:…”

Assessment of Satellite-Based Precipitation Measurement Products over the Hot Desert Climate of Egypt

“…Integrated multi-satellite retrievals have three half-hourly products that provide rainfall from March 2014 to the present. Unlike its predecessor, the Tropical Rainfall Measuring Mission (TRMM), GPM can better detect light rainfall and snow as a result of the new dual-frequency precipitation radar, and a conical-scanning higher frequency multichannel GPM microwave imager [18]. In 2015, the Climate Hazard Group released the 0.05 • × 0.05 • resolution Climate Hazard Group's InfraRed Precipitation with Stations (CHIRPS) dataset, which provides quasi-global daily rainfall data [19].…”