Presentation is loading. Please wait.

Presentation is loading. Please wait.

IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI IOP Algorithm OOXIX.

Similar presentations


Presentation on theme: "IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI IOP Algorithm OOXIX."— Presentation transcript:

1 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI IOP Algorithm Workshop @ OOXIX

2 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI Fri / Sat workshop generic agenda: 9:00start 10:30break 12:30lunch 13:30resume 15:30break 17:30end 22:00group dinner (Fri)

3 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI focus topics: 1.overview 2.end-user perspectives 3.operational implementation strategies 4.relationships between Rrs and IOPs 5.regional adjustment of SAA parameterization 6.new directions 7.summary, recommendations, & steps forward

4 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 1 - overview (mod by Jeremy) topics: summarize goals, approaches, evaluation process, & limitations goals: clear understanding of workshop goals agreement on evaluation process & metrics agreement on accuracy of SAA summaries recognition of overlap amongst approaches

5 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI what we’re (NASA, anyway) looking to do: extend the IOCCG SAA survey by (1)evaluating application of SAA algorithms to satellite radiometry (2)reviewing & consolidating SAA construction workshop motivation & goal: achieve community consensus on an effective algorithmic approach for producing global-scale, remotely sensed SAA IOP products what we’re (NASA, anyway) looking for: combination of accuracy and geographic coverage flexible, multi-sensor implementation computational efficiency to support operational environment open source software and accompanying LUTs associated SAA uncertainties

6 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI algorithm “shoot out” you’ve been warned:

7 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 1 - overview (mod by Jeremy) topics: summarize goals, approaches, evaluation process, & limitations goals:  clear understanding of workshop goals  agreement on evaluation process & metrics agreement on accuracy of SAA summaries recognition of overlap amongst approaches

8 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI process: SAA identification: literature review (IOCCG report 5); community solicitation open SAA consolidation: identification of (dis)similarities software accumulation: standalone versions & l2gen (SeaDAS) import evaluation prep: define metrics; design analyses; identify test data sets “validation” analyses sensitivity studies community dialog workshop: consolidate recom- mendations; ideas

9 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI pre-workshop achievements - overview 1.process: a philosophy & a path forward 2.software: l2gen (msl12) & l3gen & IDL, Matlab, C, etc. 3.dialog: public record of (forum for) issues & ideas 4.shared analyses (evaluation, sensitivity, etc.)

10 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI pre-workshop achievements - dialog & discussion 1.air-sea transmission, Rrs  rrs(0 - ) 2.calculation of Rrs (bandpass correction, f/Q) 3.temperature & salinity dependence of aw & bbw 4.spectral data products to be considered (adg, bb, etc.) 5.evaluation metrics & SAA failure conditions 6.inversion methods & linearization issues 7.calculation of uncertainties 8.SAA product validation & sensitivity analyses 9.strategies to produce level-3 products http://oceancolor.gsfc.nasa.gov/forum/oceancolor/board_show.pl?bid=24

11 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI pre-workshop achievements - analyses 1.in situ-to-in situ & satellite-to-in situ match-ups 2.global (level-3) comparisons 3.spatial coverage (level-2) comparisions 4.sensitivities to parameterization & noisy input 5.sensitivity to inversion method 6.level-2 vs. level-3 inversion http://oceancolor.gsfc.nasa.gov/MEETINGS/OOXIX/IOP/analyses.html

12 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI available metrics: posted analyses … ( for 400 < < 700 ) Rrs( ) > 0 adg( ) & a  ( ) > -0.005 bbp( ) > -0.0001 coverage … retrieval quality / comparison … available metrics: level-3 flagging … ( for 400 < < 600 ) Rrs( ) > 0 (?) -0.95 aw( ) < a( ) < 5 -0.05 aw( ) < adg( ) < 5 -0.05 aw( ) < a  ( ) < 5 -0.95 bbw( ) < bb( ) < 0.015 -0.05 bbw( ) < bbp( ) < 0.015

13 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 1 - overview (mod by Jeremy) topics: summarize goals, approaches, evaluation process, & limitations goals: clear understanding of workshop goals  agreement on evaluation process & metrics  agreement on accuracy of SAA summaries recognition of overlap amongst approaches

14 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI anatomy of a semi-analytical algorithm (SAA): many approaches are similarly constructed & parameterized next, I’ll deconstruct the SAAs to illustrate similarities & differences the goal is to convince you that most SAAs fall within 2 / 3 categories of construction & that most have interchangeable parts

15 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI satellite provides R rs ( ) a ( ) and b b ( ) are desired products total a and b b are sums of coefficients for all components in seawater each coefficient expressed as product of magnitude and spectral shape

16 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI

17 GSM, HL, BR Gordon quad; Lee trans inversion  variable S variable simultaneous: nonlinear (L-M), matrix inversion a  variable system of 5/6 equations with 3 unknowns

18 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI a  = a - a w - a dg LUT calculate a empirical a(555) iteration  a ( i, j ) estimate a dg ( i ) using S,  adg ( i, j ), and  a  ( i, j ) QAA PML, NIWA Gordon quad; Lee trans  variable calculate a 

19 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI solution b b and a both from K d, b w /b, and solz LUT LAS calculate K d LUT

20 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI GSM, HL, BR Gordon quad; Lee trans a  = a - a w - a dg inversion  variable S variable simultaneous: nonlinear (L-M), matrix inversion a  variable LUT calculate a empirical a(555) iteration  a ( i, j ) estimate a dg ( i ) using S,  adg ( i, j ), and  a  ( i, j ) QAA solution b b and a both from K d, b w /b, and solz PML, NIWA Gordon quad; Lee trans  variable calculate a  LUT LAS calculate K d LUT

21 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI agp(443) bbp(443) current state- of-the-art:

22 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI algorithm #1 algorithm #2 difference global deep water adg(555) retrievals adg(555) difference

23 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 1 - overview (mod by Jeremy) topics: summarize goals, approaches, evaluation process, & limitations goals: clear understanding of workshop goals agreement on evaluation process & metrics  agreement on accuracy of SAA summaries   recognition of overlap amongst approaches 

24 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI GSM (standard) QAA (standard)

25 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI GSM (QAA , QAA S, Bricaud a  ) QAA (standard)

26 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI GSM (standard) QAA (GSM , GSM S)

27 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI GSM (standard) QAA (GSM , GSM S, GSM a(555))

28 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 2 - end-user perspectives (mod by Mike) topics: desired products & their uses accuracy / behavior uncertainty requirements goals: list(s) near- & long-term needs (with attention to what’s available) list(s) of data product hierarchy / priority

29 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 3 - operational implementation strategies (mod by Bryan) topics: L2 Rrs - l2gen, f/Q & normalization, bandpass corrections L3 IOPs - masks, geometry, calc @ L2 vs L3, other strategies goals: consensus understanding of L2 Rrs generation agreeement on SAA flags & their use in L3 product generation discussion of (dis)advantages of product generation at L2 vs. L3

30 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 4 - relationships b/w Rrs and IOPs (mod by Emmanuel) topics: IOP shape functions; inversion procedures; uncertainties; ambiguity goals: discussion of sensitivities of shape functions & inversion procedures & how they impact product accuracies & geographic coverage discussion of methods for uncertainty determination

31 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 5 - regional adjustment of SAA params (mod by Mark/Tim) topics: Dowell/Moore optical water type classification approach; others? goals: consensus (dis)agreement of need to pursue such approaches

32 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 6 - new directions (mod by Samantha) topics: GlobColour; fluorescence; f/Q & normalization(s); others? goals: illumination

33 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI backup slides

34 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI questions to be answered: 1.SAAs predefine spectral shapes for the IOP products of interest. What are the key components & can their sensitivities, uncertainties, & relative priority be defined? 2.How critical / sensitive is the optimization or inversion method used? 3.How does spectral resolution effect the retrievals? 4.How do the SAAs perform: a. relative to in situ IOPs using in situ Rrs? b. relative to in situ IOPs using satellite Rrs (from a match-up data set)? c. on various satellite level-2 & level-3 scenes 5.Do the conclusions of #1-4 vary by trophic level or bioregime? 6.What are the remediations to failure? 7.What is the most appropriate implementation strategy for operational satellite data processing (e.g., level-2 Rrs normalization, masking & binning at level-3?

35 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 2 - end-user perspectives (mod by Mike) recommendations:

36 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 3 - operational implementation strategies (mod by Bryan) recommendations:

37 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 4 - relationships b/w Rrs and IOPs (mod by Emmanuel) recommendations:

38 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 5 - regional adjustment of SAA params (mod by Mark/Tim) recommendations:

39 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI topic 6 - new directions (mod by Samantha) recommendations:

40 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI (dis)advantages of various modeling approaches: empirical straightforward (Rrs  product) & computationally efficient biased to in situ database & degrades with optical complexity SAA / quasi-SAA configurable form & simultaneous output of multiple products only as representative as model assumptions (including empirical functions) LUT based on exact RTE calculations & simultaneous output of products only as representative and flexible as RTE model assumptions

41 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI attendees: Antoine Mangin (ACRI)Odile Hembise Fanton d’Andon (ACRI) Bryan Franz (NASA)Paula Bontempi (NASA) Catherine Brown (LOV)Samantha Lavender (U. Plymouth) Emmanuel Boss (U. Maine)Sean Bailey (NASA) Gene Feldman (NASA)Stephane Maritorena (UCSB) Hubert Loisel (U. Littoral)Takafumi Hirata (PML) Jeremy Werdell (NASA)Tim Moore (NURC) Jill Schwarz (NIWA)Tim Smyth (PML) Mark Dowell (JRC)Yannick Huot (LOV) Mike Behrenfeld (OSU)ZhongPing Lee (MSU) unable to attend:Andre Morel (LOV), Paul Lyon (NRL)

42 IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI

43

44


Download ppt "IOP Algorithm Workshop, Ocean Optics XIX, 3-4 Oct 2008, PJW NASA/SSAI IOP Algorithm OOXIX."

Similar presentations


Ads by Google