Abstract
Two monthly datasets of sea surface temperature (SST), TMI SST retrieved from satellite observations by Remote Sensing System and HadISST1 (Hadley Centre Sea-ice and Sea-surface Temperature Data Set Version 1) derived from in situ measurements by Hadley Centre, were compared on climatologic multiple time scales over tropical and subtropical areas from 1998 to 2006. Results indicate that there is a good consistency in the horizontal global distribution, with 1.0° resolution on multi-year and multi-season mean scales between the two datasets, and also in the time series of global mean SST anomalies. However, there are still some significant differences between the datasets. Generally, TMI SST is relatively higher than Had-ISST1. In addition, the differences between the two datasets show not only remarkable regionality, but also distinct seasonal variations. Moreover, the maximum departure occurs in summer, while the minimum takes place in autumn. For all seasons, over 30% of the regions in the Tropical and Subtropical areas have a difference of more than 0.3°C. EOF analysis of the SST anomaly field also shows that there are differences between the two datasets, where HadISST1 has more significant statistical characteristics than TMI SST. On the other hand, results show that the difference between the two datasets is related to the vertical structure of ocean temperatures, as well as other simultaneously retrieved parameters in TMI products, such as wind speed, water vapor, liquid cloud water and rain rates. In addition, large biases between HadISST1 and TMI SST are found in coastal regions, where TMI SST cannot be accurately retrieved because of polluted microwave signals.
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Wentz F J, Gentemann C, Smith D, et al. Satellite measurements of sea surface temperature through clouds. Science, 2000, 288: 847–850
Fu Y F, Huang R H. The effect of the westerly anomalies over the Tropica Pacific on the occurrence of ENSO events (in Chinese). Chin J Atmos Sci, 1996, 20: 641–654
Fu Y F, Huang R H. Impacts of westerly anomalies over East Asia on westerly burst over the Western Tropical and the occurrence of ENSO events (in Chinese). Chin J Atmos Sci, 1997, 21: 485–492
Yan B L. The mechanism of the effects of the upwelling meanon the ENSO event mature phase locking. Sci China Ser D-Earth Sci, 2007, 50: 1266–1272
Zhang D L, Zeng Q C. Dynamic statistic analysis of coupled circulation of atmosphere and ocean in the Tropical Indian Ocean in May. Sci China Ser D-Earth Sci, 2007, 37: 1693–1699
Cao J, Yang R W, You Y L, et al. The mechanism for the impact of sea surface temperature anomaly on the ridgeline surface of Western Pacific. Sci China Ser D-Earth Sci, 2009, 52: 1864–1870
Zhang J, Su F Z, Du Y Y. Relationship between pelagic fishery resources and sea surface temperature in East China Sea (in Chinese). Resour Sci, 2004, 26: 147–152
Li X D. Studies on the correlation between the temperature of sea water and fishing grounds. Acta Oceanol Sin, 1982, 4: 103–113
Du Y Y, Zhou C H, Shao Q Q, et al. Sea surface temperature and Purse Net Productivity (in Chinese). High Technol Lett, 2001, 11: 56–61
James C. Coastal sea surface temperature and salmon production in the Pacific Northwest, USA. Fifth International Conference on Remote Sensing for Marine and Coastal Environments. San Diego: ERIM International, 1998
Luis E H. SST charts in peruvian waters and relations with pelagic resource, Peru. Fifth International Conference on Remote Sensing for Marine and Coastal Environments. San Diego: ERIM International, 1998
Casey K S, Cornillon P. A comparison of satellite and in situ-based sea surface temperature climatologies. J Clim, 1999, 12: 1848–1863
Rayner N A, Parker D E, Horton E B, et al. Global analyses of sea surface temperature, sea ice, and night marine. J Geophys Res, 2003, 108(D14), doi: 10.1029/2002JD002670
Woodruff S D, Slutz R J, Jenne R L, et al. A comprehensive ocean-atmosphere data set. Bull Amer Meteorol Soc, 1987, 68: 517–526
Woodruff S D, Lubker S, Wolter K, et al. Comprehensive ocean-atmosphere data set (COADS) release 1a: 1980–92. Earth System Monitor, 1993, 4: 1–8
Woodruff S D, Diaz H F, Elms J D, et al. COADS Release 2 data and metadata enhancements for improvements of marine surface flux fields. Phys Chem Earth, 1998, 23: 517–526
Kummerow C, Barnes W, Kozu T, et al. The tropical rainfall measuring mission (TRMM) sensor package. J Atmos Ocean Technol, 1998, 15: 808–816
Stammer D, Wentz F J, Gentemann C. Validation of microwave sea surface temperature measurements for climate purposes. J Clim, 2003, 16: 73–87
Aumann H H, Chahine M T, Barron D. Sea surface temperature measurements with AIRS: RTG. SST Comparison. Proceedings of SPIE, 2003. 5151
Guan L, Kawamura H. SST Availabilities of satellite infrared and microwave measurements. J Oceanogr, 2003, 59: 201–209
Gentemann C L, Wentz F J, Mears C A, et al. In situ validation of tropical rainfall measuring mission microwave sea surface temperatures. J Geophys Res, 2004, 109: C04021, doi: 10.1029/2003 JC00 209258
Ricciardulli L, Wentz F J. Uncertainties in sea surface temperature retrievals from space: Comparison of microwave and infrared observations from TRMM. J Geophys Res, 2004, 109: C12013, doi: 10.1029/2003JC002247
Chan P K, Gao B C. A Comparison of MODIS, NCEP, and TMI sea urface temperature datasets. IEEE Geosci Remote Sens Lett, 2005, 2: 270–274
Corlett G K, Barton I J, Donlon C J. The accuracy of SST retrievals from AATSR: An initial assessment through geophysical validation against in situ radiometers, buoys and other SST data sets. Adv Space Res, 2006, 37: 764–769
Parekh A, Sharma R, Sarkar A. A comparative assessment of surface wind speed and sea surface temperature over the Indian Ocean by TMI, MSMR, and ERA-40. J Atmos Ocean Technol, 2007, 24: 1131–1142
Gao G P, Qian C C, Bao X W, et al. Difference between the PFSST and the in-situ data in East China Sea (in Chinese). Acta Oceanol Sin, 2001, 23: 121–126
Li N, Sun F Q, Zhang C Y, et al. A primary validation of remote AVHRR SST in Taiwan Strait and its vicinity (in Chinese). J Xiamen Univ-Nat Sci, 2006, 45: 383–387
Sun F Q, Zhang C Y, Shang S P, et al. Primary validation of AVHRR/MODIS/TMI SST for part of the Northwest Pacific (in Chinese). J Xiamen Univ-Nat Sci, 2007, 46(Supp.1): 1–5
Donlon C, et al. The Global Ocean Data Assimilation Experiment high Resolution Sea Surface Temperature Pilot Project Strategy and Implementation Plan. Marine Environment Unit, Joint Research Centre, 2001. Ispra, Italy
Wentz F J. A well-calibrated ocean algorithm for special sensor microwave/imager. J Geophys Res, 1997, 102: 8703–8718
Wentz F J, Spencer R W. SSM/I rain retrievals within a unified all-weather algorithm. J Atmos Sci, 1998, 55: 1613–1627
Wentz F J, Meissner T. AMSR ocean algorithm, version 2 RSS Tech Rep, 121599A-1. Remote Sens Syst, 2000, 66
Houghton J T. Observations of sea-surface temperature for climate research. Philos Trans R Soc Lond, 1983, A309: 381–395
Trenberth K. TOGA and atmospheric processes: Understanding climate change. Bull Amer Meteorol Soc, 1989, 73: 1377–1416
Donlon C, Gentemann C, Wentz F J. Measuring surface temperature with microwave sensors. Backscatter, 2001, 12: 37–39
Schluessel P, Emery W J, Grassl H, et al. On the bulk-skin temperature difference and its impact on Satellite remote sensing of sea surface temperature. J Geophys Res, 1990, 95: 13341–13356
Hilburn K A, Wentz F J. Intercalibrated passive microwave rain products from the Unified Microwave Ocean Retrieval Algorithm (UMORA). J Appl Meteorol Climatol, 2008, 47: 778–794
Jackson D L, Stephens G L. A study of SSM/I-derived columnar water vapor over the global oceans. J Atmos Sci, 1995, 8: 2025–2038
Horvath, D. Comparison of microwave and optical cloud water path estimates from TMI, MODIS, and MISR. J Geophys Res, 2007, 112: D01202, doi: 10.1029/2006JD007101
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Wang, Y., Liu, P., Li, T. et al. Climatologic comparison of HadISST1 and TMI sea surface temperature datasets. Sci. China Earth Sci. 54, 1238–1247 (2011). https://doi.org/10.1007/s11430-011-4214-1
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DOI: https://doi.org/10.1007/s11430-011-4214-1