1. 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

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

3. 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

4. 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.

5. 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.

6. 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

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

8. Data Processing AVHRR NOAA-14 Night time Algorithms
MCSST Night Dual Channel Algorithm sst1 = ( * T4 ) * (T3 - T4 ) * (sec(ZA) - 1) MCSST Night Split Window Algorithm sst2 = ( * T4 ) * (T4 - T5 ) * (T4 - T5 ) * (sec(ZA) - 1) MCSST Night Triple Channel Algorithm sst3 = ( * T4 ) * (T3 - T5 ) * (sec(ZA) - 1)
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°

9. AVHRR data processing day 5 results

10. AVHRR Data processing day 8 results

11. BOOM Data Processing Day 5 Results

12. BOOM Data Processing Day 8 Results

13. SAIL Data Processing Day 5 Results

14. SAIL Data Processing Day 8 Results

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

16. Statistical Computations and Results

17. Statistical Computations and Results

18. Statistical Computations and Results

19. 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.

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