globcolour/

1. GlobColour: In situ database and characterisation Samantha Lavender , Yaswant Pradhan and the GlobColour Team http://www.globcolour.info/ 2nd GlobColour Users Workshop

2. Diagnostic Dataset Sites (in situ data available) 2nd GlobColour Users Workshop

3. Records in GlobColour in situ database Total = 21,940 Data Courtesy 2nd GlobColour Users Workshop SeaPRISM [Giuseppe Zibordi, Brent Holben, Doug Vandemark]

4. Diagnostic Data Sets (ncdf, CF1.0) L3Binned (ISIN grid, 4km) L3Mapped (PC grid, 1km) 2nd GlobColour Users Workshop

5. Method-1 Match-up Criteria In situ table DDS (L3M/B) Method-2 • inDT=ddsDT±12h • maxSDist<=2*ddsPix . . . . • Extract N=(5x5 L3M or 9 L3B pixels • Accept Pixels (AP) without NO_MEAS, INVAL, REPLICA, LAND, CLOUD>50%, and TURBID (for Chl and Kd490 only) flags NO AP>(N/2)+1 Discard AGP=Pixels within median(AP)±1.5σ NO AP>2 Discard CV(AGP)<0.2 Cnt(AGP)>2 NO Avg(AP), Med(AP), Stdev(AP), Cnt(AP) No match-up CV(AP)<0.2 Cnt >(N/2)+1 Avg(AP)>0 Avg(AGP), Med(AP), Stdev(AP), Cnt(AP) NO No match-up NO Avg(AGP)>0 No match-up Valid match-up pair Valid match-up pair 2nd GlobColour Users Workshop Match-up Statistics Match-up Statistics

6. Statistical indicators: T865 MERIS MODIS-A SeaWiFS L3M L3B 2nd GlobColour Users Workshop

7. Statistical indicators: Chl1 2nd GlobColour Users Workshop

8. Characterisation summary . * besides better sampling (number of match-ups) 2nd GlobColour Users Workshop • Overall performance of SeaWiFS (against in situ) is better* when compared to MERIS and MODIS-A. • MERIS Lw670 has a better relationship (against in situ) than MODIS-A and SeaWiFS; better Case 2 retrieval? • In Phase-2, the match-up statistics are improved compared to both the NASA-OBPG global validation (for SeaWiFS and MODIS-A) and GlobColour Phase-1 characterisation results. • The aerosol optical thickness (T865) match-up requires improved match-up criteria; designed for in situ (water) rather than atmospheric parameters.

9. www.globcolour.info

10. Extra - Match-up Statistics .