Auto-correlation analysis of ocean surface wind vectors |
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| Authors: | Abhijit Sarkar Sujit Basu A K Varma Jignesh Kshatriya |
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| Institution: | (1) Oceanic Sciences Division, Meteorology and Oceanography Group, Space Applications Centre (ISRO), Ahmedabad, India |
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| Abstract: | The nature of the inherent temporal variability of surface winds is analyzed by comparison of winds obtained through different
measurement methods. In this work, an auto-correlation analysis of a time series data of surface winds measuredin situ by a deep water buoy in the Indian Ocean has been carried out. Hourly time series data available for 240 hours in the month
of May, 1999 were subjected to an auto-correlation analysis. The analysis indicates an exponential fall of the autocorrelation
in the first few hours with a decorrelation time scale of about 6 hours. For a meaningful comparison between satellite derived
products andin situ data, satellite data acquired at different time intervals should be used with appropriate ‘weights’, rather than treating
the data as concurrent in time. This paper presents a scheme for temporal weighting using the auto-correlation analysis. These
temporal ‘weights’ can potentially improve the root mean square (rms) deviation between satellite andin situ measurements. A case study using the TRMM Microwave Imager (TMI) and Indian Ocean buoy wind speed data resulted in an improvement
of about 10%. |
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| Keywords: | Surface wind speed data buoy time series auto-correlation microwave radiometer |
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