A MODIS Sea Surface Temperature Composite for Regional Applications

Sea surface temperature (SST) is an important input for regional and global weather modeling, but timely high- resolution SST data from either in situ or satellite sources are limited. A regional near-real-time aqua moderate resolution imaging spectroradiometer (MODIS) 1-km-resolution SST composite has been developed by the NASA Short-term Prediction and Research Transition (SPoRT) program to provide continuous high-resolution SST fields twice daily for regional weather applications. The SPoRT Aqua MODIS SST composite is inter- compared to both half-degree-resolution real-time global (RTG) SST analysis and a 6-km-resolution geostationary operational environmental satellite 12 (GOES) Imager SST analysis and validated against buoy data for the month of May 2004. The SPoRT MODIS composite provides more accurate and detailed spatial information than the RTG-SST or GOES products during this period. Compared to limited buoy data, the daytime MODIS composites for May 2004 were found to have an average cool bias of -0.09degC, and the nighttime composites an average cool bias of -0.29degC, with both day and night composites having correlation values of approximately 0.90. A comparison of the MODIS SST composite to the more recent and higher resolution 12th-degree RTG-SST analysis and the 20th-degree resolution operational sea surface temperature and sea ice analysis indicated that the SPoRT MODIS composite provides additional spatial and diurnal cycle information on a regional scale.

[1]  Hiroshi Kawamura,et al.  Evaluation of the Diurnal Warming of Sea Surface Temperature Using Satellite-Derived Marine Meteorological Data , 2002 .

[2]  Peter J. Minnett,et al.  Sea-surface temperature measurements from the Moderate-Resolution Imaging Spectroradiometer (MODIS) on Aqua and Terra , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.

[3]  Gary J. Jedlovec,et al.  Spatially Varying Spectrally Thresholds for MODIS Cloud Detection , 2004 .

[4]  Frank J. Wentz,et al.  Global Microwave Satellite Observations of Sea Surface Temperature for Numerical Weather Prediction and Climate Research , 2005 .

[5]  Steven M. Lazarus,et al.  The Impact of High-Resolution Sea Surface Temperatures on the Simulated Nocturnal Florida Marine Boundary Layer , 2008 .

[6]  Ruoying He,et al.  A cloud‐free, satellite‐derived, sea surface temperature analysis for the West Florida Shelf , 2003 .

[7]  George S. Young,et al.  Mesoscale Stratocumulus Bands Caused by Gulf Stream Meanders , 2003 .

[8]  C. Walton,et al.  Nonlinear Multichannel Algorithms for Estimating Sea Surface Temperature with AVHRR Satellite Data , 1988 .

[9]  Peter Cornillon,et al.  Large Diurnal Sea Surface Temperature Variability: Satellite and In Situ Measurements , 1986 .

[10]  Tom Bradshaw,et al.  The NASA Short-term Prediction Research and Transition (SPoRT) Center: A Collaborative Model for Accelerating Research into Operations , 2003 .

[11]  Wanqiu Wang,et al.  A New High-Resolution Blended Real-Time Global Sea Surface Temperature Analysis , 2003 .

[12]  William J. Emery,et al.  Accuracy of in situ sea surface temperatures used to calibrate infrared satellite measurements , 2001 .

[13]  Richard G. Forbes,et al.  Assessment of the FOAM global data assimilation system for real-time operational ocean forecasting , 2000 .

[14]  C Smith,et al.  Operational calibration of Geostationary Operational Environmental Satellite-8 and-9 imagers and sounders. , 1997, Applied optics.

[15]  Pablo Santos,et al.  Real-time, high-resolution, space-time analysis of sea surface temperatures from multiple platforms , 2007 .

[16]  Thomas M. Smith,et al.  Improved Global Sea Surface Temperature Analyses Using Optimum Interpolation , 1994 .

[17]  Edward M. Armstrong,et al.  A new global satellite‐based sea surface temperature climatology , 2001 .

[18]  Christopher J. Merchant,et al.  NOAA's Sea Surface Temperature Products From Operational Geostationary Satellites , 2008 .