Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China
Temperature and precipitation are crucial indicators for investigating climate changes, necessitating precise measurements for rigorous scientific inquiry. While the Fifth Generation of European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis (ERA5), ERA5 of the Land Surface (ERA5-L...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/2/283 |
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| author | Liancheng Zhang Guli Jiapaer Tao Yu Jeanine Umuhoza Haiyang Tu Bojian Chen Hongwu Liang Kaixiong Lin Tongwei Ju Philippe De Maeyer Tim Van de Voorde |
| author_facet | Liancheng Zhang Guli Jiapaer Tao Yu Jeanine Umuhoza Haiyang Tu Bojian Chen Hongwu Liang Kaixiong Lin Tongwei Ju Philippe De Maeyer Tim Van de Voorde |
| author_sort | Liancheng Zhang |
| collection | DOAJ |
| description | Temperature and precipitation are crucial indicators for investigating climate changes, necessitating precise measurements for rigorous scientific inquiry. While the Fifth Generation of European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis (ERA5), ERA5 of the Land Surface (ERA5-Land), and China Meteorological Forcing Dataset (CMFD) temperature and precipitation products are widely used worldwide, their suitability for the Altay region of arid and semi-arid areas has received limited attention. Here, we used the Altay region as the study area, utilizing meteorological station data and implementing the residual revision method for temperature and the coefficient revision method for precipitation to rectify inaccuracies in monthly temperature and precipitation records from ERA5-Land, ERA5, and CMFD. We evaluate the accuracy of these datasets before and after correction using bias, Taylor diagrams, and root-mean-square error (RMSE) metrics. Additionally, we employ Tropical Rainfall Measuring Mission satellite precipitation data (TRMM) as a benchmark to assess the performance of ERA5-Land, ERA5, and CMFD monthly precipitation before and after correction. The results revealed significant differences in the temperature and precipitation capture capabilities of ERA5-Land, ERA5, and CMFD in the Altay region. Overall, these data exhibit substantial errors and are not directly suitable for scientific research. However, we applied residual and coefficient revision methods. After this revision, ERA5-Land, ERA5, and CMFD showed significantly improved temperature and precipitation capture capabilities, especially for ERA5-Land. In terms of temperature, post-revision-CMFD (CMFD<sub>PR</sub>) demonstrated better temperature capture capabilities. All three datasets showed weaker performance in mountainous regions compared to plains. Notably, post-revision-ERA5 (ERA5<sub>PR</sub>) seemed unsuitable for capturing temperature in the Altay region. Concerning rain, CMFD<sub>PR</sub>, post-revision-ERA5-Land (ERA5-Land<sub>PR</sub>) and ERA5<sub>PR</sub> outperformed TRMM in capturing precipitation. CMFD<sub>PR</sub> and ERA5-Land<sub>PR</sub> both outperform ERA5<sub>PR</sub>. In summary, the revision datasets effectively compensated for the sparse distribution of meteorological stations in the Altay region, providing reliable data support for studying climate change in arid and semi-arid areas. |
| first_indexed | 2024-03-08T10:36:32Z |
| format | Article |
| id | doaj.art-8baaa0f41b7b48df80d9957da2adab6c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T10:36:32Z |
| publishDate | 2024-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-8baaa0f41b7b48df80d9957da2adab6c2024-01-26T18:17:31ZengMDPI AGRemote Sensing2072-42922024-01-0116228310.3390/rs16020283Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, ChinaLiancheng Zhang0Guli Jiapaer1Tao Yu2Jeanine Umuhoza3Haiyang Tu4Bojian Chen5Hongwu Liang6Kaixiong Lin7Tongwei Ju8Philippe De Maeyer9Tim Van de Voorde10State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, ChinaDepartment of Geography, Ghent University, 9000 Ghent, BelgiumTemperature and precipitation are crucial indicators for investigating climate changes, necessitating precise measurements for rigorous scientific inquiry. While the Fifth Generation of European Centre for Medium-Range Weather Forecasts Atmospheric Reanalysis (ERA5), ERA5 of the Land Surface (ERA5-Land), and China Meteorological Forcing Dataset (CMFD) temperature and precipitation products are widely used worldwide, their suitability for the Altay region of arid and semi-arid areas has received limited attention. Here, we used the Altay region as the study area, utilizing meteorological station data and implementing the residual revision method for temperature and the coefficient revision method for precipitation to rectify inaccuracies in monthly temperature and precipitation records from ERA5-Land, ERA5, and CMFD. We evaluate the accuracy of these datasets before and after correction using bias, Taylor diagrams, and root-mean-square error (RMSE) metrics. Additionally, we employ Tropical Rainfall Measuring Mission satellite precipitation data (TRMM) as a benchmark to assess the performance of ERA5-Land, ERA5, and CMFD monthly precipitation before and after correction. The results revealed significant differences in the temperature and precipitation capture capabilities of ERA5-Land, ERA5, and CMFD in the Altay region. Overall, these data exhibit substantial errors and are not directly suitable for scientific research. However, we applied residual and coefficient revision methods. After this revision, ERA5-Land, ERA5, and CMFD showed significantly improved temperature and precipitation capture capabilities, especially for ERA5-Land. In terms of temperature, post-revision-CMFD (CMFD<sub>PR</sub>) demonstrated better temperature capture capabilities. All three datasets showed weaker performance in mountainous regions compared to plains. Notably, post-revision-ERA5 (ERA5<sub>PR</sub>) seemed unsuitable for capturing temperature in the Altay region. Concerning rain, CMFD<sub>PR</sub>, post-revision-ERA5-Land (ERA5-Land<sub>PR</sub>) and ERA5<sub>PR</sub> outperformed TRMM in capturing precipitation. CMFD<sub>PR</sub> and ERA5-Land<sub>PR</sub> both outperform ERA5<sub>PR</sub>. In summary, the revision datasets effectively compensated for the sparse distribution of meteorological stations in the Altay region, providing reliable data support for studying climate change in arid and semi-arid areas.https://www.mdpi.com/2072-4292/16/2/283temperatureprecipitationaccuracy evaluationerror revisionAltay region |
| spellingShingle | Liancheng Zhang Guli Jiapaer Tao Yu Jeanine Umuhoza Haiyang Tu Bojian Chen Hongwu Liang Kaixiong Lin Tongwei Ju Philippe De Maeyer Tim Van de Voorde Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China Remote Sensing temperature precipitation accuracy evaluation error revision Altay region |
| title | Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China |
| title_full | Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China |
| title_fullStr | Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China |
| title_full_unstemmed | Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China |
| title_short | Evaluating and Correcting Temperature and Precipitation Grid Products in the Arid Region of Altay, China |
| title_sort | evaluating and correcting temperature and precipitation grid products in the arid region of altay china |
| topic | temperature precipitation accuracy evaluation error revision Altay region |
| url | https://www.mdpi.com/2072-4292/16/2/283 |
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