NASA OBPG Satellite Ocean Color Update
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1 NASA OBPG Satellite Ocean Color Update Bryan Franz and the Ocean Biology Processing Group NASA Goddard Space Flight Center IOCS Meeting Ocean Color Research Team Meeting 18 May 2017, Lisbon, Portugal
2 NASA Ocean Biology Processing Group currently supporting calibration, validation, software development, (re)processing, and distribution for a multitude of ocean color missions & sensors. Global Processing & Distribution VIIRS/NPP (USA) MODIS/Aqua (USA) MODIS/Terra (USA) OLCI/S3A (Europe) SeaWiFS (USA) CZCS (USA) MERIS (Europe) OCTS (Japan) Regional Processing & Distribution GOCI (Korea) HICO (USA) Limited Mission Support Landsat-8/OLI (USA) Sentinel-2/MSI (Europe) OCM-1/2 (India) OSMI (Korea) MOS (Germany/India)
3 Ocean Color Reprocessing All global missions are now at version R (with the exception of MERIS). Reprocessing R included: updates to instrument and vicarious calibrations updates to standard algorithms (e.g., OCI Chlorophyll) expansion of standard products to include suite of inherent optical properties (GIOP). switch to NetCDF4 file formats (Level-2 and Level-3) We have not reprocessed any ocean color missions in the past year!
4 Rrs(λ) Validation all available in situ match-ups from SeaBASS & AERONET-OC SeaWiFS MODISA VIIRS Satellite Rrs (443; sr -1 ) RMSE = sr -1 RMSE = sr -1 RMSE = sr -1 Satellite Rrs (55x; sr -1 ) RMSE = sr -1 RMSE = sr -1 RMSE = sr -1 In situ Rrs(λ)
5 Satellite Rrs (443; sr -1 ) Rrs(λ) Validation all available in situ match-ups from SeaBASS & AERONET-OC SeaWiFS RMSE = sr -1 MODISA RMSE = sr -1 SeaWiFS Rrs (443; sr -1 ) SeaWiFS VIIRS v MODISA RMSE = = sr -1 sr -1 Satellite Rrs (55x; sr -1 ) RMSE = sr -1 SeaWiFS Rrs (555; sr -1 ) RMSE = sr -1 RMSE = = sr -1 sr -1 In situ Rrs(λ) MODISA Rrs(λ)
6 Chlorophyll-a Validation all available in situ match-ups from SeaBASS SeaWiFS MODISA SeaWiFS VIIRS v MODISA Satellite Chla (mg m -3 ) In situ Chla in VIIRS era heavy reliance on AERONET-OC for radiometric validation need more chlorophyll in SeaBASS!
7 Long-term (19-year) Chlorophyll Record multiple missions, consistently processed Chla (mg m -3 ) SeaWiFS MODISA VIIRS Chla (%) Chla Anomaly (mg m -3 ) Multivariate Enso Index (MEI) SeaWiFS MODISA VIIRS Chla Anomaly (%) Franz, B.A., M. J. Behrenfeld, D.A. Siegel, S.R. Signorini, 2017: Global ocean phytoplankton [in "State of the Climate in 2016"]. Bulletin of the American Meteorological Society, submitted.
8 Long-term (19-year) Chlorophyll Record multiple missions, consistently processed Chla (mg m -3 ) SeaWiFS MODISA VIIRS Chla (%) Chla Anomaly (mg m -3 ) Multivariate Enso Index (MEI) SeaWiFS MODISA VIIRS Chla Anomaly (%) known issues with MODIS/Aqua data quality after 2012
9 MODIS/Aqua Calibration Update comparison of OC trends to VIIRS MODISA & VIIRS Rrs(λ) for Global Mean Deep-Water Before Update VIIRS 443 Rrs(λ) MODISA
10 MODIS/Aqua Calibration Re-analysis complete in-house end-to-end assessment 1) Instrument Calibration Solar diffuser (SD) and SD stability monitor (SDSM) screen transmission, and SD BRF derived from yaw maneuver data SD degradation corrected using SDSM SD calibration used to determine detector gain changes Lunar Calibration to determine RVS for nm Desert / Lunar Cal to determine RVS for 412, 443nm Calibration LUT created using smoothed SD gains & RVS values 2) Residual Artifact Corrections additional corrections derived from calibrated radiances to further reduce detector striping and cross-track artifacts 3) Vicarious calibration to MOBY see Shihyan Lee or Gerhard Meister
11 MODIS/Aqua Calibration Update comparison of OC trends to VIIRS MODISA & VIIRS Rrs(λ) for Global Mean Deep-Water Before Update VIIRS 443 Rrs(λ) MODISA
12 MODIS/Aqua Calibration Update comparison of OC trends to VIIRS MODISA & VIIRS Rrs(λ) for Global Mean Deep-Water After Update Rrs(λ) Rrs(λ)
13 MODIS/Aqua Calibration Update comparison of OC trends to VIIRS Before After Chlorophyll MODISA VIIRS Chlorophyll Rrs(λ) Rrs(λ)
14 MODIS/Aqua Calibration Update Temporal Anomaly Trend Rrs(547) Anomaly Trend in Global Deep Water Mean After Calibration Update: de-seasonalized temporal anomaly in global mean deep-water showing minimal variability (as expected) Rrs(547); sr -1 no long-term trend, variation on order of 2e-5 sr -1 Rrs(547); %
15 MODIS/Aqua Calibration Update Temporal Anomalies in Green Bands in Clear Water Before After Rrs(555) Rrs(555) Rrs(547) Rrs(547) Before After
16 Coming Soon! MODISA/Aqua Reprocessing (version )
17 Processing capability GOCI Support (KIOST) standard NASA ocean color processing codes have been augmented to support GOCI ocean color processing capability from Level-1B with NASA algorithms is supported in current SeaDAS Data distribution OBPG is acquiring full GOCI mission at Level-1B, through ongoing collaboration with KIOST Level-1B (mirror) and Level-2 products (NASA algorithms) are available via ocean color web portal Anticipating an update to the Level-1B mission archive from KIOST to mitigate slot artifacts (ISRD), which will precipitate a NASA Level-2 reprocessing as well.
18 GOCI Results validation to AERONET-OC sites at varying times of day J. Concha, A. Mannino, B.A. Franz, and W. Kim (2017). Assessing Diurnal Variability of Biogeochemical Processes using GOCI, Poster at this meeting.
19 Sentinel-3 OLCI Support (ESA) Processing capability standard NASA ocean color processing codes have been augmented to support OLCI processing capability from Level-1B with NASA algorithms is supported in current SeaDAS refinements to incorporate updated spectral response and implement smile correction in progress
20 OLCI Processed with SeaDAS using standard NASA algorithms
21 Chlorophyll-a Comparison of VIIRS and OLCI using standard NASA algorithms OLCI VIIRS *no vicarious calibration performed on OLCI yet
22 OLCI Level-1B Data Distribution
23 Sentinel-3 OLCI Support (ESA) Processing capability standard NASA ocean color processing codes have been augmented to support OLCI processing capability from Level-1B with NASA algorithms is supported in current SeaDAS refinements to incorporate updated spectral response and implement smile correction in progress Data distribution OBPG is acquiring full OLCI mission at Level-1B, through ESA- NASA gateway (FR/RR, archived from start of commissioning) distribution (mirror) of RR Level-1B via ocean color web portal, with FR coming soon anticipating full mission Level-1B update from ESA production & distribution of NASA Level-2 is TBD
24 Sentinel-2 Support (ESA) Sentinel-2 MSI ocean color retrieval capability implemented in NASA processing code, for future release in SeaDAS. Challenging due to varying resolutions of spectral bands, variable viewing geometry per band, lack of sufficient sampling in geometry. Validation to AERONET-OC after vicarious calibration to BOUSSOLE N. Pahlevan, S. Sarkar, B.A. Franz, and J. He (2017). Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and preliminary validations, Rem. Sens. Env., submitted.
25 Sentinel-2 Results Sentinel-2 MSI Landsat-8 OLI R rs (664) R rs (560) Grand lake, LA N. Pahlevan, S. Sarkar, B.A. Franz, and J. He (2017). Sentinel-2 MultiSpectral Instrument (MSI) data processing for aquatic science applications: Demonstrations and preliminary validations, Rem. Sens. Env., submitted.
26 HICO Support (Hyperspectral Retrievals) SeaDAS/l2gen code has been modified to support hyperspectral Rrs(λ) retrieval, including line-by-line absorbing gas corrections with dynamic water vapor retrieval and correction based on ATREM code (B-C Gao et al.) HICO & MODIS Rrs(λ) HICO MODIS Chlorophyll (mg m -3 ) A. Ibrahim, B.A. Franz, Z. Ahmad, R. Healy, K. Knobelspiesse, B-C. Gao, C. Proctor, and P. Zhai (2017). Atmospheric Correction for Hyperspectral Ocean Color Retrieval with Application to the Hyperspectral Imager for the Coastal Ocean (HICO), Rem. Sens. Env., submitted.
27 Software SeaDAS: The Official NASA (Ocean Ecology Lab) Processing SeaDAS Status Open-source software (with freely available data from NASA OB.DAAC) May 2017 Enables direct study of data obtained by Earth viewing satellites Provides a standardized data format across a multitude of satellites Ocean Biology Distributed Active Archive Center (OB.DAAC) Official distribution NASA source - Goddard of the NASA Space OEL/OCSSW Flight Center processors Current version: 7.4 SeaDAS Status May
28 Status & Changes over past 2 Years SeaDAS version 7.4 released March 6, 2017 (IOCS 2015 was version 7.2) SeaDAS - OCSSW Processing Components Level-2 Matchup Tools Level-3 Mapping l3mapgen Support for Satellite Missions o VIIRS: SST o LANDSAT-8 OLI o Sentinel-3A: OLCI o HICO: full hyperspectral GUI Visualization & Analysis Components Color Palettes & Color Bar (revised) Map Gridlines (revised) RGB Color Image (revised) Command Line Tools (GPF): WriteImage (new) SeaDAS Status May
29 New Commandline Match-up Tool SeaDAS Status May
30 Projected Status & Changes next 2 Years SeaDAS Version 7.x (The 7 series is a heavily modified integration of BEAM) SeaDAS Version 8 (Integration with SNAP) SeaDAS - OCSSW Processing Components Processing Support on Windows Support of Satellite Missions o Sentinel-3A OLCI (revision) o Sentinel-2 MSI o GCOM-C SGLI GUI Visualization & Analysis Components Statistics Tool SeaDAS Status May
31 SOCON Sustained Ocean Color Observations from Nanosatellites Seahawk spacecraft (3U Cubesat) Hawkeye ocean color instrument: 8-bands, ~120-m resolution Two copies to be launched in early 2018 and 2019
32 Future Plans MERIS reprocessing HICO Level-2 processing JPSS1 VIIRS processing and distribution GCOM-C SGLI processing capability Sentinel-2 processing capability and of course
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