Inter-Comparison of SST Products from iQuam, AMSR2/GCOM-W1, and MWRI/FY-3D
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| Publicado en: | Remote Sensing vol. 16, no. 11 (2024), p. 2034 |
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MDPI AG
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| Acceso en línea: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 001 | 3067436130 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2072-4292 | ||
| 024 | 7 | |a 10.3390/rs16112034 |2 doi | |
| 035 | |a 3067436130 | ||
| 045 | 2 | |b d20240101 |b d20241231 | |
| 084 | |a 231556 |2 nlm | ||
| 100 | 1 | |a Zhao, Yili |u School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China; <email>lp@jou.edu.cn</email> | |
| 245 | 1 | |a Inter-Comparison of SST Products from iQuam, AMSR2/GCOM-W1, and MWRI/FY-3D | |
| 260 | |b MDPI AG |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Evaluating sea surface temperature (SST) products is essential before their application in marine environmental monitoring and related studies. SSTs from the in situ SST Quality Monitor (iQuam) system, Advanced Microwave Scanning Radiometer 2 (AMSR2) aboard the Global Change Observation Mission 1st-Water, and the Microwave Radiation Imager (MWRI) aboard the Chinese Fengyun-3D satellite are intercompared utilizing extended triple collocation (ETC) and direct comparison methods. Additionally, error characteristic variations with respect to time, latitude, SST, sea surface wind speed, columnar water vapor, and columnar cloud liquid water are analyzed comprehensively. In contrast to the prevailing focus on SST validation accuracy, the random errors and the capability to detect SST variations are also evaluated in this study. The result of ETC analysis indicates that iQuam SST from ships exhibits the highest random error, above 0.83 °C, whereas tropical mooring SST displays the lowest random error, below 0.28 °C. SST measurements from drifters, tropical moorings, Argo floats, and high-resolution drifters, which possess random errors of less than 0.35 °C, are recommended for validating remotely sensed SST. The ability of iQuam, AMSR2, and MWRI to detect SST variations diminishes significantly in ocean areas between 0°N and 20°N latitude and latitudes greater than 50°N and 50°S. AMSR2 and iQuam demonstrate similar random errors and capabilities for detecting SST variations, whereas MWRI shows a high random error and weak capability. In comparison to iQuam SST, AMSR2 exhibits a root-mean-square error (RMSE) of about 0.51 °C with a bias of −0.05 °C, while MWRI shows an RMSE of about 1.26 °C with a bias of −0.14 °C. | |
| 610 | 4 | |a National Oceanic & Atmospheric Administration--NOAA | |
| 653 | |a Latitude | ||
| 653 | |a Microwave radiation | ||
| 653 | |a Environmental monitoring | ||
| 653 | |a Marine environment | ||
| 653 | |a Accuracy | ||
| 653 | |a Bias | ||
| 653 | |a Sea surface temperature | ||
| 653 | |a Radiometers | ||
| 653 | |a Wind speed | ||
| 653 | |a Calibration | ||
| 653 | |a Water | ||
| 653 | |a Quality control | ||
| 653 | |a Remote sensing | ||
| 653 | |a Microwaves | ||
| 653 | |a Error analysis | ||
| 653 | |a Mooring | ||
| 653 | |a Water vapor | ||
| 653 | |a Random errors | ||
| 653 | |a Precipitation | ||
| 653 | |a Meteorological satellites | ||
| 653 | |a Variation | ||
| 653 | |a Root-mean-square errors | ||
| 653 | |a Sensors | ||
| 653 | |a Remote sensing systems | ||
| 653 | |a Floats | ||
| 653 | |a Rain | ||
| 653 | |a Surface wind | ||
| 700 | 1 | |a Liu, Ping |u School of Marine Technology and Geomatics, Jiangsu Ocean University, Lianyungang 222005, China; <email>lp@jou.edu.cn</email> | |
| 700 | 1 | |a Wu, Zhou |u National Satellite Ocean Application Service, Beijing 100081, China; <email>zhouwu@mail.nsoas.org.cn</email> | |
| 773 | 0 | |t Remote Sensing |g vol. 16, no. 11 (2024), p. 2034 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3067436130/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3067436130/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3067436130/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |