Ocean Color Algorithm working Group

1
Ocean Color Algorithm working Group
ZhongPing Lee
2
The objectives
1. Algorithm cross comparisons 2. Algorithm
recommendations 3. Report on algorithm progress
3
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,
4
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
5
For chl, cross comparison/evaluation has been
performed, and operational algorithms have been
suggested.
(OReilly et al. 1998)
Only limited comparison/validation for other
properties.
6
Traditional color data flow scheme
chl algorithms
many are empirical!
color
IOP,
chl
auxi.
PP,
7
From Ocean Optics theory,
less understood
better understood
2
1
IOP, ..
color
Multi-variant, two-step control!
8
A true inversion looks like
Multi-variant, non-linear problem!
IOP, ..
color
chl
color
Traditional one-step inversion.
9
The limitations of one-step inversion are clear
10
Two-step inversion
easier, more accurate
harder, less accurate
2
1
IOP, ..
color
auxi.
11
This OCAG will focus on algorithms for the IOPs.
12
After we have
1. assembled data from field measurements
2. synthesized data
1. Algorithm cross comparisons 2. Algorithm
recommendations 3. Report on algorithm progress