Correction of TRMM 3B42V7 Based on Linear Regression Models over China
High temporal-spatial precipitation is necessary for hydrological simulation and water resource management, and remotely sensed precipitation products (RSPPs) play a key role in supporting high temporal-spatial precipitation, especially in sparse gauge regions. TRMM 3B42V7 data (TRMM precipitation)...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/3103749 |
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| author | Shaohua Liu Denghua Yan Tianling Qin Baisha Weng Meng Li |
| author_facet | Shaohua Liu Denghua Yan Tianling Qin Baisha Weng Meng Li |
| author_sort | Shaohua Liu |
| collection | DOAJ |
| description | High temporal-spatial precipitation is necessary for hydrological simulation and water resource management, and remotely sensed precipitation products (RSPPs) play a key role in supporting high temporal-spatial precipitation, especially in sparse gauge regions. TRMM 3B42V7 data (TRMM precipitation) is an essential RSPP outperforming other RSPPs. Yet the utilization of TRMM precipitation is still limited by the inaccuracy and low spatial resolution at regional scale. In this paper, linear regression models (LRMs) have been constructed to correct and downscale the TRMM precipitation based on the gauge precipitation at 2257 stations over China from 1998 to 2013. Then, the corrected TRMM precipitation was validated by gauge precipitation at 839 out of 2257 stations in 2014 at station and grid scales. The results show that both monthly and annual LRMs have obviously improved the accuracy of corrected TRMM precipitation with acceptable error, and monthly LRM performs slightly better than annual LRM in Mideastern China. Although the performance of corrected TRMM precipitation from the LRMs has been increased in Northwest China and Tibetan plateau, the error of corrected TRMM precipitation is still significant due to the large deviation between TRMM precipitation and low-density gauge precipitation. |
| format | Article |
| id | doaj-art-02390a86bac34f41a571d8d916085c73 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-02390a86bac34f41a571d8d916085c732025-02-03T01:11:11ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/31037493103749Correction of TRMM 3B42V7 Based on Linear Regression Models over ChinaShaohua Liu0Denghua Yan1Tianling Qin2Baisha Weng3Meng Li4China Institute of Water Resources and Hydropower Research (IWHR), State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, ChinaChina Institute of Water Resources and Hydropower Research (IWHR), State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, ChinaChina Institute of Water Resources and Hydropower Research (IWHR), State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, ChinaChina Institute of Water Resources and Hydropower Research (IWHR), State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, ChinaChina Institute of Water Resources and Hydropower Research (IWHR), State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, ChinaHigh temporal-spatial precipitation is necessary for hydrological simulation and water resource management, and remotely sensed precipitation products (RSPPs) play a key role in supporting high temporal-spatial precipitation, especially in sparse gauge regions. TRMM 3B42V7 data (TRMM precipitation) is an essential RSPP outperforming other RSPPs. Yet the utilization of TRMM precipitation is still limited by the inaccuracy and low spatial resolution at regional scale. In this paper, linear regression models (LRMs) have been constructed to correct and downscale the TRMM precipitation based on the gauge precipitation at 2257 stations over China from 1998 to 2013. Then, the corrected TRMM precipitation was validated by gauge precipitation at 839 out of 2257 stations in 2014 at station and grid scales. The results show that both monthly and annual LRMs have obviously improved the accuracy of corrected TRMM precipitation with acceptable error, and monthly LRM performs slightly better than annual LRM in Mideastern China. Although the performance of corrected TRMM precipitation from the LRMs has been increased in Northwest China and Tibetan plateau, the error of corrected TRMM precipitation is still significant due to the large deviation between TRMM precipitation and low-density gauge precipitation.http://dx.doi.org/10.1155/2016/3103749 |
| spellingShingle | Shaohua Liu Denghua Yan Tianling Qin Baisha Weng Meng Li Correction of TRMM 3B42V7 Based on Linear Regression Models over China Advances in Meteorology |
| title | Correction of TRMM 3B42V7 Based on Linear Regression Models over China |
| title_full | Correction of TRMM 3B42V7 Based on Linear Regression Models over China |
| title_fullStr | Correction of TRMM 3B42V7 Based on Linear Regression Models over China |
| title_full_unstemmed | Correction of TRMM 3B42V7 Based on Linear Regression Models over China |
| title_short | Correction of TRMM 3B42V7 Based on Linear Regression Models over China |
| title_sort | correction of trmm 3b42v7 based on linear regression models over china |
| url | http://dx.doi.org/10.1155/2016/3103749 |
| work_keys_str_mv | AT shaohualiu correctionoftrmm3b42v7basedonlinearregressionmodelsoverchina AT denghuayan correctionoftrmm3b42v7basedonlinearregressionmodelsoverchina AT tianlingqin correctionoftrmm3b42v7basedonlinearregressionmodelsoverchina AT baishaweng correctionoftrmm3b42v7basedonlinearregressionmodelsoverchina AT mengli correctionoftrmm3b42v7basedonlinearregressionmodelsoverchina |