u.s. ecos u.s. eastern continental shelf carbon budget: modeling, data assimilation, and analysis a...
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U.S. ECoSU.S. Eastern Continental Shelf Carbon Budget:
Modeling, Data Assimilation, and Analysis
A project of the NASA Earth System EnterpriseInterdisciplinary Science Program
Start Date: Summer 2004
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U.S. ECoSScience Team:
Eileen Hofmann (ODU): project oversight, 1D modelingMarjorie Friedrichs (ODU): 1D modeling and data assimilationChuck McClain (GSFC): project oversight, remote sensing dataSergio Signorini (GSFC): satellite data analysisAntonio Mannino (GSFC): carbon cyclingCindy Lee (SUNY-SB): carbon cyclingJay O’Reilly (NOAA): satellite-derived data setsDale Haidvogel (RU): ROMS circulation modelingJohn Wilkin (RU): ROMS circulation modelingPaul Goodard (RU): ROMS circulation modelingKatja Fennel (RU): biogeochemical modelingSybil Seitzinger (RU): food web and nutrient dynamicsJim Yoder (URI): food web and nutrient dynamicsRay Najjar (PSU): oxygen data, climate modelingDavid Pollard (PSU): climate modeling
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U.S. ECoS
1. What are the relative carbon inputs to the MAB and SAB from terrestrial run-off and in situ biological processes?2. What is the fate of DOC input to the continental shelf from estuarine and riverine systems? 3. What are the dominant food web pathways that control carbon cycling and flux in this region? 4. Are there fundamental differences in the manner in which carbon is cycled on the continental shelves of the MAB and SAB? 5. Is the carbon cycle of the MAB and SAB sensitive to climate change?
Goal: To develop carbon budgets for the U.S. east coast
Research Questions:
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Approach
• Theme 1: Development and implementation of circulation, biogeochemistry, and carbon cycling models for the east coast of the U.S.
• Theme 2: Data analysis effort – includes historical in
situ measurements and satellite-derived data
• Theme 3: Limited field measurement effort
• Theme 4: Implementation of data assimilative models
• Theme 5: Interfacing shelf models with climate models
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Theme 1: Circulation and biogeochemical modeling
Northeast North American shelf model (NENA)
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Theme 1: Circulation and biogeochemical modeling
North Atlantic ROMSNorth Atlantic ROMS
Climatological Climatological heat/freshwater fluxesheat/freshwater fluxes
3-day average NCEP winds3-day average NCEP winds
SSH (m)
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Theme 1: Circulation and biogeochemical modeling
WOA98 salinity at 10m for Aug.Modeled salinity at 4m for Aug. 2002
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Theme 1: Circulation and biogeochemical modeling
NO3
Chlorophyll
Largedetritus
Organic matter
N2 NH4 NO3
Water column
SedimentSediment
Phytoplankton
NH4
Mineralization
Uptake
Nitrification
Nitrification
Grazing
Mortality
Zooplankton
Smalldetritus
Aerobic mineralizationAerobic mineralizationDenitrificationDenitrification
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Theme 2: Satellite and in situ data analyses
OC4v4 Clark
Carder GSM01
Intercomparison of Chlorophyll-a Algorithms: May 14, 2000
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In situ productivity measurements
Satellite productivity measurements
Theme 2: Satellite and in situ data analyses
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Theme 2: Satellite and in situ data analyses
Region DOE Mean 1998 1999 2000 2001 2002
Inner 620 446 635 486 410 324 262
Middle 248 278 404 296 245 197 167
Outer 360 211 285 228 195 155 136
In situ estimates were derived from seasonal studies consisting of short-term measurements of 14C uptake (Yoder, 1985; Verity et al., manuscript); modeled estimates were obtained using VGPM2.
SAB in situ vs. VGPM2 productivity (PP) estimates
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Themes 1 and 2: Modeling and satellite analyses
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Themes 1 and 2: Modeling and satellite analyses
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Themes 1 and 2: Modeling and satellite analyses
Satellite-derived primary production (PP)
using VGPM2
VGPM2 applied to NENA-simulated fields
Modeled PP using NENA
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Theme 3: Field measurements
Compilation of carbon and other relevant biogeochemical data for MAB & SAB
Objectives for Data• Develop and evaluate algorithms to retrieve estimates of
CDOM, DOC, POC, PP & chlorophyll from satellite-derived data sets
• Provide data for NENA model testing and evaluation
• Database for the team and on internet for all
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Theme 3: Field measurements
• one day – 8 hour cruise• 4 stations
• surface water• bottom water
Mannino/Mulholland• Carbon, nutrients, chl a, pigments, absorb., lignin, …• Estimate fluxes
ARCHIVED SAMPLES2002 to present
CCPO Monthly Chesapeake Bay mouth hydrography cruises
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Theme 4: Biogeochemical data assimilation
Developed a 1-D data assimilative ‘Modeling Testbed’
This framework includes:mixing, advection, diffusion, attenuation, sinking subroutines
This framework requires:forcing fields: T, MLD, PAR, w, Kvboundary and initial conditionsecosystem model subroutineadjoint of ecosystem model subroutinebiogeochemical data for validation/assimilation
This framework will be used to:Perform parameter sensitivity/optimization analyses Test new parameterizations and formulationsCompare multiple models at a single siteCompare model performance at various sites
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Theme 5: Climate Modeling
How will coastal regions respond to climate change, and what are the feedbacks on the carbon cycle?
Force the model with climate change scenarios:
Two high resolution models: RegCM and MM5
Present day scenario: 1980-2000
100 years later scenario: 2080-2100
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Summary
U.S. ECoSGoal: To develop carbon budgets for the east coast of the United States.
• Ongoing effort• Biogeochemical database for the region• Satellite products: chl, PP, CDOM, DOC, POC• Simulated fields from the NENA model