Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations
At present, the global reliability and accuracy of Precipitable Water Vapor (PWV) from different reanalysis products have not been comprehensively evaluated. In this study, PWV values derived by 268 Global Navigation Satellite Systems (GNSS) stations around the world covering the period from 2016 to...
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| Format: | Article |
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MDPI AG
2020-06-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/11/1817 |
| _version_ | 1827715648200900608 |
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| author | Shuaimin Wang Tianhe Xu Wenfeng Nie Chunhua Jiang Yuguo Yang Zhenlong Fang Mowen Li Zhen Zhang |
| author_facet | Shuaimin Wang Tianhe Xu Wenfeng Nie Chunhua Jiang Yuguo Yang Zhenlong Fang Mowen Li Zhen Zhang |
| author_sort | Shuaimin Wang |
| collection | DOAJ |
| description | At present, the global reliability and accuracy of Precipitable Water Vapor (PWV) from different reanalysis products have not been comprehensively evaluated. In this study, PWV values derived by 268 Global Navigation Satellite Systems (GNSS) stations around the world covering the period from 2016 to 2018 are used to evaluate the accuracies of PWV values from five reanalysis products. The temporal and spatial evolution is not taken into account in this analysis, although the temporal and spatial evolution of atmospheric flows is one of the most important information elements available in numerical weather prediction products. The evaluation results present that five reanalysis products with PWV accuracy from high to low are in the order of the fifth generation of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5), ERA-Interim, Japanese 55-year Reanalysis (JRA-55), National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR), and NCEP/DOE (Department of Energy) according to root mean square error (RMSE), bias and correlation coefficient. The ERA5 has the smallest RMSE value of 1.84 mm, while NCEP/NCAR and NCEP/DOE have bigger RMSE values of 3.34 mm and 3.51 mm, respectively. The findings demonstrate that ERA5 and two NCEP reanalysis products have the best and worst performance, respectively, among five reanalysis products. The differences in the accuracy of the five reanalysis products are mainly attributed to the differences in the spatial resolution of reanalysis products. There are some large absolute biases greater than 4 mm between GNSS PWV values and the PWV values of five reanalysis products in the southwest of South America and western China due to the limit of terrains and fewer observations. The accuracies of five reanalysis products are compared in different climatic zones. The results indicate that the absolute accuracies of five reanalysis products are highest in the polar regions and lowest in the tropics. Furthermore, the effects of different seasons on the accuracies of five reanalysis products are also analyzed, which indicates that RMSE values of five reanalysis products in summer and in winter are the largest and the smallest in the temperate regions. Evaluation results from five reanalysis products can help us to learn more about the advantages and disadvantages of the five released water vapor products and promote their applications. |
| first_indexed | 2024-03-10T19:22:56Z |
| format | Article |
| id | doaj.art-7ea0ff6911db471e95801e03160a821e |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T19:22:56Z |
| publishDate | 2020-06-01 |
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| series | Remote Sensing |
| spelling | doaj.art-7ea0ff6911db471e95801e03160a821e2023-11-20T02:50:11ZengMDPI AGRemote Sensing2072-42922020-06-011211181710.3390/rs12111817Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS ObservationsShuaimin Wang0Tianhe Xu1Wenfeng Nie2Chunhua Jiang3Yuguo Yang4Zhenlong Fang5Mowen Li6Zhen Zhang7Institute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaInstitute of Space Science, Shandong University, Weihai 264209, ChinaAt present, the global reliability and accuracy of Precipitable Water Vapor (PWV) from different reanalysis products have not been comprehensively evaluated. In this study, PWV values derived by 268 Global Navigation Satellite Systems (GNSS) stations around the world covering the period from 2016 to 2018 are used to evaluate the accuracies of PWV values from five reanalysis products. The temporal and spatial evolution is not taken into account in this analysis, although the temporal and spatial evolution of atmospheric flows is one of the most important information elements available in numerical weather prediction products. The evaluation results present that five reanalysis products with PWV accuracy from high to low are in the order of the fifth generation of European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis (ERA5), ERA-Interim, Japanese 55-year Reanalysis (JRA-55), National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR), and NCEP/DOE (Department of Energy) according to root mean square error (RMSE), bias and correlation coefficient. The ERA5 has the smallest RMSE value of 1.84 mm, while NCEP/NCAR and NCEP/DOE have bigger RMSE values of 3.34 mm and 3.51 mm, respectively. The findings demonstrate that ERA5 and two NCEP reanalysis products have the best and worst performance, respectively, among five reanalysis products. The differences in the accuracy of the five reanalysis products are mainly attributed to the differences in the spatial resolution of reanalysis products. There are some large absolute biases greater than 4 mm between GNSS PWV values and the PWV values of five reanalysis products in the southwest of South America and western China due to the limit of terrains and fewer observations. The accuracies of five reanalysis products are compared in different climatic zones. The results indicate that the absolute accuracies of five reanalysis products are highest in the polar regions and lowest in the tropics. Furthermore, the effects of different seasons on the accuracies of five reanalysis products are also analyzed, which indicates that RMSE values of five reanalysis products in summer and in winter are the largest and the smallest in the temperate regions. Evaluation results from five reanalysis products can help us to learn more about the advantages and disadvantages of the five released water vapor products and promote their applications.https://www.mdpi.com/2072-4292/12/11/1817GNSSreanalysisPWVERA5 |
| spellingShingle | Shuaimin Wang Tianhe Xu Wenfeng Nie Chunhua Jiang Yuguo Yang Zhenlong Fang Mowen Li Zhen Zhang Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations Remote Sensing GNSS reanalysis PWV ERA5 |
| title | Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations |
| title_full | Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations |
| title_fullStr | Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations |
| title_full_unstemmed | Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations |
| title_short | Evaluation of Precipitable Water Vapor from Five Reanalysis Products with Ground-Based GNSS Observations |
| title_sort | evaluation of precipitable water vapor from five reanalysis products with ground based gnss observations |
| topic | GNSS reanalysis PWV ERA5 |
| url | https://www.mdpi.com/2072-4292/12/11/1817 |
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