Study on Diurnal Variation Correction of Satellite Sea Surface Temperature
|School||Ocean University of China|
|Course||Detection and processing of marine information|
|Keywords||Sea surface temperature Diurnal variation Pacific Northwest NOAA AVHRR Aqua AMSR-E|
During the day due to solar radiation , the upper ocean is heated , which appeared SST (Sea Surface Temperature, SST) day changing circumstances. In the multi-sensor fusion satellite SST , because satellite transit times are different, need to consider the impact of diurnal variation , if not properly take into account the diurnal variation of SST , such as numerical weather prediction model will make errors . Global Ocean Data Assimilation Experiment (the Global Ocean Data Assimilation Experiment, GODAE) team believes the product should provide the basis for global SST SST - no daytime warming influence SST. In order to determine the SST, must calculate the temperature rise during the day and SST from remote sensing data obtained by satellite removed . Firstly, the use of infrared radiometer (Infrared Sea Surface Temperature Autonomous Radiometer, ISAR) field measurements of SST data and DFH the 2nd expedition ship ship remote monitoring and management system (Vessel Manage System, VMS) in the sea surface wind speed data observed SST Day changes in its relationship with the relationship between sea surface wind speed . Secondly , the use of empirical models Kawai respectively from the United States Remote Sensing Systems Company AMSR-E SST data and the U.S. NASA JPL PODACC the NOAA AVHRR Pathfinder SST data , in the northwest Pacific Ocean SST diurnal variation within the situation be corrected. The results showed that , due to the study area and the use of different data and other factors, the model and the results obtained compared with the actual situation , errors. Respectively, using the 2008 AMSR-E SST and AVHRR Pathfinder SST data , the corresponding AMSR-E wind speed and solar radiation through the calculated intensity data for Kawai model coefficients in the Pacific Northwest waters regression fit again , and use the 2009 validate data . The results show that, for AMSR-E data model SST diurnal size calculated with the data itself the result of calculation error of 0 ± 0.38 ° C ( mean deviation of 0 ° C, the standard deviation was 0.38 ° C, the same below ) , and the error results AVHRR Pathfinder -0.02 ± 0.21 ° C. Model is better to reach out to the northwest Pacific Ocean diurnal variation of SST estimation purposes. Finally, the model is applied to 2009 AMSR-E SST and AVHRR SST data and apply the results were discussed.