A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau
Lake surface water temperature (LSWT) is a key parameter in understanding the variability of lake thermal conditions and evaporation. The MODIS-derived LSWT is widely used as a reference for lake model validations and process studies in data-scarce regions. In this study, the accuracy of the MODIS L...
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MDPI AG
2022-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/21/5454 |
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| author | Lazhu Kun Yang Jun Qin Juzhi Hou Yanbin Lei Junbo Wang Anning Huang Yingying Chen Baohong Ding Xin Li |
| author_facet | Lazhu Kun Yang Jun Qin Juzhi Hou Yanbin Lei Junbo Wang Anning Huang Yingying Chen Baohong Ding Xin Li |
| author_sort | Lazhu |
| collection | DOAJ |
| description | Lake surface water temperature (LSWT) is a key parameter in understanding the variability of lake thermal conditions and evaporation. The MODIS-derived LSWT is widely used as a reference for lake model validations and process studies in data-scarce regions. In this study, the accuracy of the MODIS LSWT was examined on the Tibetan Plateau (TP). In-situ subsurface temperatures were collected at five large lakes. Although the observation period covers from summer to winter, only the observations during the lake turnover period (from October to freeze-up), when the lakes are well mixed, can be used as ground truth. The MODIS LSWT agrees well with the selected in-situ data for the five large lakes, with root mean square error (RMSE) < 1 °C at nighttime and <2 °C in the daytime, indicating a high accuracy of the MODIS LSWT data. Before the turnover period, the water is thermally stratified and the surface water is warmer than the subsurface water, and thus the in-situ subsurface water temperature data and the MODIS LSWT have different representativeness. In this case, if the observations are used as a validation basis, the MODIS errors could be much magnified. This in turn indicates the importance of period selection for the validation. |
| first_indexed | 2024-03-09T18:42:23Z |
| format | Article |
| id | doaj.art-c3a9fde6647543a9b408e27909279006 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T18:42:23Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj.art-c3a9fde6647543a9b408e279092790062023-11-24T06:39:17ZengMDPI AGRemote Sensing2072-42922022-10-011421545410.3390/rs14215454A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan PlateauLazhu0Kun Yang1Jun Qin2Juzhi Hou3Yanbin Lei4Junbo Wang5Anning Huang6Yingying Chen7Baohong Ding8Xin Li9Research Center for Ecology, College of Science, Tibet University, Lhasa 850011, ChinaInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaCMA-NJU Joint Laboratory for Climate Prediction Studies, School of Atmospheric Sciences, Nanjing University, Nanjing 210023, ChinaInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaLake surface water temperature (LSWT) is a key parameter in understanding the variability of lake thermal conditions and evaporation. The MODIS-derived LSWT is widely used as a reference for lake model validations and process studies in data-scarce regions. In this study, the accuracy of the MODIS LSWT was examined on the Tibetan Plateau (TP). In-situ subsurface temperatures were collected at five large lakes. Although the observation period covers from summer to winter, only the observations during the lake turnover period (from October to freeze-up), when the lakes are well mixed, can be used as ground truth. The MODIS LSWT agrees well with the selected in-situ data for the five large lakes, with root mean square error (RMSE) < 1 °C at nighttime and <2 °C in the daytime, indicating a high accuracy of the MODIS LSWT data. Before the turnover period, the water is thermally stratified and the surface water is warmer than the subsurface water, and thus the in-situ subsurface water temperature data and the MODIS LSWT have different representativeness. In this case, if the observations are used as a validation basis, the MODIS errors could be much magnified. This in turn indicates the importance of period selection for the validation.https://www.mdpi.com/2072-4292/14/21/5454Tibetan PlateauMODISlake surface water temperaturelake turnover |
| spellingShingle | Lazhu Kun Yang Jun Qin Juzhi Hou Yanbin Lei Junbo Wang Anning Huang Yingying Chen Baohong Ding Xin Li A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau Remote Sensing Tibetan Plateau MODIS lake surface water temperature lake turnover |
| title | A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau |
| title_full | A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau |
| title_fullStr | A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau |
| title_full_unstemmed | A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau |
| title_short | A Strict Validation of MODIS Lake Surface Water Temperature on the Tibetan Plateau |
| title_sort | strict validation of modis lake surface water temperature on the tibetan plateau |
| topic | Tibetan Plateau MODIS lake surface water temperature lake turnover |
| url | https://www.mdpi.com/2072-4292/14/21/5454 |
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