Atmospheric inverse modeling to constrain regional-scale CO2 budgets at high spatial and temporal resolution

Journal of Geophysical Research Atmospheres

Volumn 115, Issue 15, 2010, Pages

  Göckede, Mathias ^a   Michalak, Anna M ^b   Vickers, Dean ^a   Turner, David P ^a   Law, Beverly E ^a  

^a OREGON STATE UNIVERSITY   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BUDGET CONTROL; FOSSIL FUELS; INVERSE PROBLEMS; OPTIMIZATION; REMOTE SENSING; STOCHASTIC MODELS;

AMERIFLUX; ATMOSPHERIC TRANSPORT; BACKWARD TRAJECTORY; BASE RATE; BAYESIAN INVERSION; BIOGEOCHEMICAL RESPONSE; DATA SETS; ECOREGIONS; FLUX MODEL; FORCINGS; FOSSIL FUEL EMISSIONS; GRID CELLS; GRID SIZE; GROSS PRIMARY PRODUCTIVITY; HETEROTROPHIC RESPIRATION; INVERSE MODELING; LAGRANGIAN; MESOSCALE MODEL; MODEL PERFORMANCE; MODEL SENSITIVITY; MODELING FRAMEWORKS; NET ECOSYSTEM EXCHANGE; POSITIVE EFFECTS; POSTERIORI; REGIONAL SCALE; REMOTE SENSING INFORMATION; SEASONAL CYCLE; SENSITIVITY TESTS; SPATIO-TEMPORAL RESOLUTION; STAND AGE; TEMPORAL RESOLUTION; TERRESTRIAL BIOSPHERE; TIME STEP; VERY HIGH RESOLUTION;

ATMOSPHERIC MOVEMENTS;

ATMOSPHERIC FORCING; ATMOSPHERIC MODELING; ATMOSPHERIC TRANSPORT; AUTOTROPHY; BAYESIAN ANALYSIS; BIOME; BIOSPHERE; CARBON DIOXIDE; CARBON EMISSION; CARBON FLUX; CONCENTRATION (COMPOSITION); DATA SET; FOSSIL FUEL; HETEROTROPHY; LAGRANGIAN ANALYSIS; MESOSCALE METEOROLOGY; PARAMETERIZATION; PRIMARY PRODUCTION; QUANTITATIVE ANALYSIS; REGIONAL CLIMATE; REMOTE SENSING; RESOLUTION; RESPIRATION; SEASONAL VARIATION; SENSITIVITY ANALYSIS; SPATIOTEMPORAL ANALYSIS; STOCHASTICITY;

OREGON; UNITED STATES;

EID: 77955905549     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2009JD012257     Document Type: Article

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