Abstract
Accurate estimation of high-resolution satellite precipitation products like Global Precipitation Measurement (GPM) and Tropical Rainfall Measuring Mission (TRMM) is critical for hydrological and meteorological research, providing a benchmark for the continued development and future improvement of these products. This study aims to comprehensively evaluate the Integrated Multi-Satellite Retrievals for GPM (IMERG) and TRMM 3B42V7 products at multiple temporal scales from 1 January 2015 to 31 December 2017 over the Huang-Huai-Hai Plain in China, using daily precipitation data from 59 meteorological stations. Three commonly used statistical metrics (CC, RB, and RMSE) are adopted to quantitatively verify the accuracy of two satellite precipitation products. The assessment also takes into account the precipitation detection capability (POD, FAR, CSI, and ACC) and frequency of different precipitation intensities. The results show that the IMERG and 3B42V7 present strong correlation with meteorological stations observations at annual and monthly scales (CC > 0.90), whereas moderate at the daily scale (CC = 0.76 and 0.69 for IMERG and 3B42V7, respectively). The spatial variability of the annual and seasonal precipitation is well captured by these two satellite products. And spatial patterns of precipitation gradually decrease from south to north over the Huang-Huai-Hai Plain. Both IMERG and 3B42V7 products overestimate precipitation compared with the station observations, of which 3B42V7 has a lower degree of overestimation. Relative to the IMERG, annual precipitation estimates from 3B42V7 show lower RMSE (118.96 mm and 142.67 mm, respectively), but opposite at the daily, monthly, and seasonal scales. IMERG has a better precipitation detection capability than 3B42V7 (POD = 0.83 and 0.67, respectively), especially when detecting trace and solid precipitation. The two precipitation products tend to overestimate moderate (2–10 mm/d) and heavy (10–50 mm/d) precipitation events, but underestimate violent (>50 mm/d) precipitation events. The IMERG is not found capable to detecting precipitation events of different frequencies more precisely. In general, the accuracy of IMERG is better than 3B42V7 product in the Huang-Huai-Hai Plain. The IMERG satellite precipitation product with higher temporal and spatial resolutions can be regarded a reliable data sources in studying hydrological and climatic research.
Highlights
As a significant meteorological and hydrological phenomenon in nature, precipitation has complex characteristics of spatiotemporal variations
Satellite precipitation products have been extensively applied in the fields of regional and global precipitation patterns [18], hydrological simulation [19], and drought monitoring [20]
This study conducts a comprehensive assessment of Global Precipitation Measurement (GPM) integrated Multi-satellite retrievals for GPM (IMERG) and Tropical Rainfall Measuring Mission (TRMM) 3B42V7 for a period from 1 January 2015 to 31 December 2017, with 59 station data taken as the reference
Summary
As a significant meteorological and hydrological phenomenon in nature, precipitation has complex characteristics of spatiotemporal variations. It is one of the important components of the global exchange of surface material and the hydrological cycle [1,2]. Approaches for precipitation measurements mainly include rain gauges, weather radars, and satellite-based sensors [5]. Rain gauge stations are often scarce and uneven distributed in developing countries and mountainous regions with complex terrain, leading to difficulty in capturing spatial variability of precipitation [6,7,8]. Satellite-based precipitation products have recently been accepted due to wide coverage and high spatiotemporal resolution [13,14,15,16,17]. Satellite precipitation products have been extensively applied in the fields of regional and global precipitation patterns [18], hydrological simulation [19], and drought monitoring [20]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
