Integrating Spaceborne Observations of Greenhouse Gases and Forest Structure to Estimate Land-Cover and Land-Use Change Emissions Ben Poulter 1 , Leo Calle 2 , Philippe Ciais 3 , George Hurtt 4 , Masa Kondo 5 , Lesley Ott 1 , and Prabir Patra 6 1 NASA, 2 Montana State University, 3 LSCE, 4 University of Maryland, 5 Chiba University, 6 JAMSTEC
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Integrating Spaceborne Observations of Greenhouse Gases and Forest Structure to Estimate Land-Cover and Land-Use Change EmissionsBen Poulter1, Leo Calle2, Philippe Ciais3, George Hurtt4, Masa Kondo5, Lesley Ott1, and Prabir Patra6
1NASA, 2Montana State University, 3LSCE, 4University of Maryland, 5Chiba University, 6JAMSTEC
Acknowledgements
• Activities funded by:• NASA Carbon Monitoring System (CMS)• NASA Arctic-Boreal Vulnerability Experiment (ABoVE)• NASA Interdisciplinary Sciences (IDS)
• Data contributions from OCO-2, TRENDY Model Intercomparison, NASA GMAO
emissions, wildfire• Land Use Harmonization version 2 (1700 to
2017)• Atmospheric transport using GEOS5 and
also with ACTM• MERRA2 and JRA55 Reanalysis wind fields used• 2 x 3.75 degree resolution
ESA Biomass Workshop, 9/25/18
Sensitivity of XCO2 to Land Cover Change
ESA Biomass Workshop, 9/25/18
Woo
d Ha
rves
t
Fore
st Lo
ss
1992
2017
1992
2017
ESA Biomass Workshop, 9/25/18
Sensitivity of XCO2 to Land Cover Change
Enhancement of XCO2, ppm, (difference of S3 – S2)• Seasonal effect due to legacy emissions?
Sensitivity of XCO2 to Land Cover Change
ESA Biomass Workshop, 9/25/18
Diff
eren
ce (K
gCm
-2)
19922017
Net land use change emissions simulated by LPJ
Summary• Can we combine forest structure and GHG remote sensing for LULCC
applications?• LULCC XCO2 enhancement observed in simulation environment, e.g., OSSE• Distinguish between types of LULCC fluxes (instantaneous vs committed)• Address scaling challenges of datasets, observational period, and extent• Work toward a methodology for statistical disaggregation of XCO2
enhancement constrained by land cover, biomass, land use remote sensing with an atmospheric model (beyond atmospheric inversion)