AVHRR and Ship IR sensor versus in situ SAIL, BOOM and CTD instruments OC 3570 Final Project AVHRR and Ship IR sensor versus in situ SAIL, BOOM and CTD instruments LCDR Marcus Simoes

OC 3570 AVHRR/Ship IR versus CTD,SAIL and BOOM in situ data Guidelines Introduction Data acquisition Data processing Statistics Computations and Results Conclusions

Introduction Main Goal to compare /BOOM/ Sail /CTD in situ data with AVHRR and IR sensor data SST Data from AVHRR only in 5 and 8 of Feb( leg 1) due to cloud conditions. Differences in data due to acquisition depths

Data Acquisition Remote. In situ. Boom probe. NOAA-14 AVHRR/2 ( channels 1 to 5) images of 5 and 8 Feb. Infrared ship sensor onboard. In situ. Boom probe. SAIL – Serial ASCII Interface Loop. CTD – Conductivity-Temperature-Depth Sea bird SBE-9 – on stations 1,2,3 (5th Feb) and 8and 9 (8th Feb). All data placed on the WEB in suitable ASCII.

Data Processing BOOM , SAIL, CTD and IR sensor temperatures ready to use. AVHRR temperatures should be retrieved by a preset SST algorithm stored in TERASCAN manually (as you did in RS labs…) IR sensor does not work well these days and it was disregard ( many possible reasons as moisture contamination, malfunction,etc.) Only 5 CTD stations in two days so they were used as cross check information for BOOM and SAIL temperatures.Disregarded on the comparative statistical analysis and plots.

Data Processing AVHRR Summary AVHRR SST retrieval Methodology used. Exclusion of Data at Large Zenith Angles Cloud Clearing (Measurements over cloud area are not used). IR uniformity test. Maximum Value in the Channel 2 Albedo . Difference in Channel 3,4 and 5. Test for daytime/nighttime Minimum Channel 4 Temperature Use of Day and Night time algorithms

Data Processing AVHRR SST Algorithms NOAA-14 Daytime Algorithm MCSST Day Split Window Algorithm sst = (1.017342 * T4 ) + 2.139588 * (T4 - T5 ) + 0.779706 * (T4 - T5 ) *(sec(ZA) - 1) + -278.43 + 273.16 where: sst - computed SST value in degrees ° C. T4 - channel 4 scene temperature T5 - channel 5 scene temperature ZA - solar zenith angle

Data Processing AVHRR NOAA-14 Night time Algorithms MCSST Night Dual Channel Algorithm sst1 = (1.008751 * T4 ) + 1.409936 * (T3 - T4 ) + 1.975581 * (sec(ZA) - 1) - 273.914 + 273.16 MCSST Night Split Window Algorithm sst2 = (1.029088 * T4 ) + 2.275385 * (T4 - T5 ) + 0.752567 * (T4 - T5 ) * (sec(ZA) - 1) - 282.24 + 273.16 MCSST Night Triple Channel Algorithm sst3 = (1.010037 * T4 ) + 0.920822 * (T3 - T5 ) + 0.067026 * (sec(ZA) - 1) - 275.364 + 273.16 where: sst n - computed SST value in degrees ° C. T3 - channel 3 scene temperature T4 - channel 4 scene temperature T5 - channel 5 scene temperature ZA - solar zenith angle Computed SST rejected if differs from climatology by more than 10°

AVHRR data processing day 5 results

AVHRR Data processing day 8 results

BOOM Data Processing Day 5 Results

BOOM Data Processing Day 8 Results

SAIL Data Processing Day 5 Results

SAIL Data Processing Day 8 Results

Statistical Computations and Results Calculate parameters for each instrument Mean temperature. Standard deviation and Variance. Calculated parameters among instruments Correlation Linear Regression

Statistical Computations and Results

Statistical Computations and Results

Statistical Computations and Results

Conclusions BOOM x SAIL with good agreement in the cruise AVHRR useful to detected large features. Be sure when you are retrieving temperatures from AVHRR that you have a good image, the methodology and the right algorithm. Use good in situ measurements as control points to AVHRR images.

OC 3570 AVHRR/Ship IR versus CTD,SAIL and BOOM in situ data Questions ?