Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut
This paper evaluated the latest version 6.0 Global Satellite Mapping of Precipitation (GSMaP) and version 6.0 Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) products during 2018 Typhoon Mangkhut in China. The reference data is the rain gauge datasets from Gauge-Ca...
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MDPI AG
2021-01-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/12/2/134 |
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| author | Xiaoyu Li Sheng Chen Zhenqing Liang Chaoying Huang Zhi Li Baoqing Hu |
| author_facet | Xiaoyu Li Sheng Chen Zhenqing Liang Chaoying Huang Zhi Li Baoqing Hu |
| author_sort | Xiaoyu Li |
| collection | DOAJ |
| description | This paper evaluated the latest version 6.0 Global Satellite Mapping of Precipitation (GSMaP) and version 6.0 Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) products during 2018 Typhoon Mangkhut in China. The reference data is the rain gauge datasets from Gauge-Calibrated Climate Prediction Centre (CPC) Morphing Technique (CMORPHGC). The products for comparison include the GSMaP near-real-time, Microwave-IR merged, and gauge-calibrated (GSMaP_NRT, GSMaP_MVK, and GSMaP_Gauge) and the IMERG Early, Final, and Final gauge-calibrated (IMERG_ERUncal, IMERG_FRUncal, and IMERG_FRCal) products. The results show that (1) both GSMaP_Gauge and IMERG_FRCal considerably reduced the bias of their satellite-only products. GSMaP_Gauge outperforms IMERG_FRCal with higher Correlation Coefficient (CC) values of about 0.85, 0.78, and 0.50; lower Fractional Standard Error (FSE) values of about 18.00, 18.85, and 29.30; and Root-Mean-Squared Error (RMSE) values of about 12.12, 33.35, and 32.99 mm in the rainfall centers over mainland China, southern China, and eastern China, respectively. (2) GSMaP products perform better than IMERG products, with higher Probability of Detection (POD) and Critical Success Index (CSI) and lower False Alarm Ratio (FAR) in detecting rainfall occurrence, especially for high rainfall rates. (3) For area-mean rainfall, IMERG performs worse than GSMaP in the rainfall centers over mainland China and southern China but shows better performance in the rainfall center over eastern China. GSMaP_Gauge and IMERG_FRCal perform well in the three regions with a high CC (0.79 vs. 0.94, 0.81 vs. 0.96, and 0.95 vs. 0.97) and a low RMSE (0.04 vs. 0.06, 0.40 vs. 0.59, and 0.19 vs. 0.34 mm). These useful findings will help algorithm developers and data users to better understand the performance of GSMaP and IMERG products during typhoon precipitation events. |
| first_indexed | 2024-03-09T04:05:58Z |
| format | Article |
| id | doaj.art-cd914a4e6edf4a259b7961067932c1e3 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-09T04:05:58Z |
| publishDate | 2021-01-01 |
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| spelling | doaj.art-cd914a4e6edf4a259b7961067932c1e32023-12-03T14:07:14ZengMDPI AGAtmosphere2073-44332021-01-0112213410.3390/atmos12020134Performance Assessment of GSMaP and GPM IMERG Products during Typhoon MangkhutXiaoyu Li0Sheng Chen1Zhenqing Liang2Chaoying Huang3Zhi Li4Baoqing Hu5Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, ChinaKey Laboratory of Tropical Atmosphere-Ocean System, School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai 519000, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, ChinaKey Laboratory of Tropical Atmosphere-Ocean System, School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai 519000, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, ChinaKey Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning 530001, ChinaThis paper evaluated the latest version 6.0 Global Satellite Mapping of Precipitation (GSMaP) and version 6.0 Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) products during 2018 Typhoon Mangkhut in China. The reference data is the rain gauge datasets from Gauge-Calibrated Climate Prediction Centre (CPC) Morphing Technique (CMORPHGC). The products for comparison include the GSMaP near-real-time, Microwave-IR merged, and gauge-calibrated (GSMaP_NRT, GSMaP_MVK, and GSMaP_Gauge) and the IMERG Early, Final, and Final gauge-calibrated (IMERG_ERUncal, IMERG_FRUncal, and IMERG_FRCal) products. The results show that (1) both GSMaP_Gauge and IMERG_FRCal considerably reduced the bias of their satellite-only products. GSMaP_Gauge outperforms IMERG_FRCal with higher Correlation Coefficient (CC) values of about 0.85, 0.78, and 0.50; lower Fractional Standard Error (FSE) values of about 18.00, 18.85, and 29.30; and Root-Mean-Squared Error (RMSE) values of about 12.12, 33.35, and 32.99 mm in the rainfall centers over mainland China, southern China, and eastern China, respectively. (2) GSMaP products perform better than IMERG products, with higher Probability of Detection (POD) and Critical Success Index (CSI) and lower False Alarm Ratio (FAR) in detecting rainfall occurrence, especially for high rainfall rates. (3) For area-mean rainfall, IMERG performs worse than GSMaP in the rainfall centers over mainland China and southern China but shows better performance in the rainfall center over eastern China. GSMaP_Gauge and IMERG_FRCal perform well in the three regions with a high CC (0.79 vs. 0.94, 0.81 vs. 0.96, and 0.95 vs. 0.97) and a low RMSE (0.04 vs. 0.06, 0.40 vs. 0.59, and 0.19 vs. 0.34 mm). These useful findings will help algorithm developers and data users to better understand the performance of GSMaP and IMERG products during typhoon precipitation events.https://www.mdpi.com/2073-4433/12/2/134rainfalltyphoon MangkhutGSMaPIMERG |
| spellingShingle | Xiaoyu Li Sheng Chen Zhenqing Liang Chaoying Huang Zhi Li Baoqing Hu Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut Atmosphere rainfall typhoon Mangkhut GSMaP IMERG |
| title | Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut |
| title_full | Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut |
| title_fullStr | Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut |
| title_full_unstemmed | Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut |
| title_short | Performance Assessment of GSMaP and GPM IMERG Products during Typhoon Mangkhut |
| title_sort | performance assessment of gsmap and gpm imerg products during typhoon mangkhut |
| topic | rainfall typhoon Mangkhut GSMaP IMERG |
| url | https://www.mdpi.com/2073-4433/12/2/134 |
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