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Ocean Color Algorithm working Group. ZhongPing Lee. The objectives:. 1 . Algorithm cross comparisons 2 . Algorithm recommendations 3 . Report on algorithm progress. Major issues regarding algorithm activities: 1) there are many algorithms; 2) many of them are empirical;
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Ocean Color Algorithm working Group ZhongPing Lee
The objectives: 1. Algorithm cross comparisons 2. Algorithm recommendations 3. Report on algorithm progress
Major issues regarding algorithm activities: 1) there are many algorithms; 2) many of them are empirical; 3) many of them are only partially tested/validated; 4) limited/no common ground for cross comparison. IOCCG Report #3, Page 117: … desirable to set up an international data base …, with free and easy access to all interested researchers, …
This OCAG plan to do: 1. “To assemble data from field measurements” Link/merge with SIMBIOS data slowly; measurement error, .. !2. “To synthesize data based on known relations” IOCCG/agents support? .. 3. Algorithm cross-comparison/evaluation !4. A place to store data/algorithm software, .. A webpage under IOCCG
For [chl], cross comparison/evaluation has been performed, and operational algorithms have been suggested. (O’Reilly et al. 1998) Only limited comparison/validation for other properties.
Traditional color data flow scheme: [chl] algorithms many are empirical! color IOP, [chl] auxi. PP, …
[chl] [G] [S] . . From Ocean Optics theory, less understood better understood 1 2 IOP, .. color Multi-variant, two-step control!
[chl] [G] [S] . . A true inversion looks like: Multi-variant, non-linear problem! IOP, .. color [chl] color Traditional one-step inversion.
[chl] [G] [S] Light field Heat transfer PP . . . . Two-step inversion: harder, less accurate easier, more accurate 1 2 IOP, .. color auxi.
After we have: 1. assembled data from field measurements 2. synthesized data 1. Algorithm cross comparisons 2. Algorithm recommendations 3. Report on algorithm progress