Navy Electronics Lab., San Diego, Calif. 



1. Ocean Surface - 



Navy Electronics Lab., San Diego, Calif. 



1. Ocean Surface - 



Report 1427 



Temperature - Mathematical 



Report 1427 



Temperature - Mathematical 





Analysis 





Analysis 



SEA-SURFACE TEMPERATURE ESTIMATION, by E. R. Anderson, 





SEA-SURFACE TEMPERATURE ESTIMATION, by E. R. Anderson, 





84 p., 9 Mar 67. 



1. Anderson, E. R. 



84 p., 9 Mar 67. 



1. Anderson, E. R. 



UNCLASSIFIED 





UNCLASSIFIED 





A regression model considering latitude, longitude, and 





A regression model considering latitude, longitude, and 





day-of-year as the independent variables proves capable of 





day-of-year as the independent variables proves capable of 





estimating the seasonal variation of sea-surface temperature 





estimating the seasonal variation of sea-surface temperature 





off the west coast of the United States to a standard deviation 





off the west coast of the United States to a standard deviation 





of less than 1°F. Time/space interpolation promises to increase 





of less than 1°F. Time/space interpolation promises to increase 





the yield of information from a given number of observations. 





the yield of information from a given number of observations. 





Applications are seen in data editing and summarizing of 





Applications are seen in data editing and summarizing of 





archived information. 





archived information. 







SR1M03 01, Task 0586 





SR 104 03 01, Task 0586 





(NEL L40571) 





INEL L40571I 





Thiscard is UNCLASSIFIED 





This card is UNCLASSIFIED 



Navy Electronics Lab. , San Diego, Calif. 



1. Ocean Surface - 



Navy Electronics Lab., San Diego, Calif. 



1. Ocean Surface - 



Report 1427 



Temperature - Mathematical 



Report 1427 



Temperature - Mathematical 





Analysis 





Analysis 



SEA-SURFACE TEMPERATURE ESTIMATION, by E. R. Anderson, 





SEA-SURFACE TEMPERATURE ESTIMATION, by E. R. Anderson, 





84 p., 9 Mar 67. 



1. Anderson, E, R. 



84 p., 9 Mar 67. 



1. Anderson, E. R. 



UNCLASSIFIED 





UNCLASSIFIED 





A regression model considering latitude, longitude, and 





A regression model considering latitude, longitude, and 





day-of-year as the independent variables proves capable of 





day-of-year as the independent variables proves capable of 





estimating the seasonal variation of sea-surface temperature 





estimating the seasonal variation of sea-surface temperature 





off the west coast of the United States to a standard deviation 





off the west coast of the United States to a standard deviation 





of less than 1°F. Time/space interpolation promises to increase 





of less than TF. Time/space interpolation promises to increase 





the yield of information from a given number of observations. 





the yield of information from a given number of observations. 





Applications are seen in data editing and summarizing of 





Applications are seen in data editing and summarizing of 





archived information. 





archived information. 







SR 104 03 01, Task 0586 





SR 104 03 01, Task 0586 





(NEL L40571) 





(NEL L40571) 





This card is UNCLASSIFIED 





This card is UNCLASSIFIED 



