Using recent BARCA aircraft measurements and tower data in Amazonia to constrain CO2 fluxes
Victoria
Y.
Chow, Harvard U., vychow@gmail.com
Marcos
Longo, Harvard U., mlongo@seas.harvard.edu
Elaine
W.
Gottlieb, Harvard U., gottlieb@seas.harvard.edu
Greg
Santoni, Harvard U., gsantoni@gmail.com
Steven
C.
Wofsy, Harvard U., swofsy@seas.harvard.edu
(Presenting)
Veronika
Beck, MPI Jena, vbeck@bgc-jena.mpg.de
Huilin
Chen, MPI Jena, hchen@bgc-jena.mpg.de
Olaf
Kolle, MPI Jena, okolle@bgc-jena.mpg.de
Julia
Steinbach, MPI Jena, jstein@bgc-jena.mpg.de
Christoph
Gerbig, MPI Jena, cgerbig@bgc-jena.mgp.de
Francisco
Morais, U Sao Paulo, fmorais@if.usp.br
Alcides
C.
Rebeiro, U Sao Paulo, alcides@if.usp.br
Kenia
Wiedemann, U Sao Paulo, kenia@if.usp.br
Maria
Assuncao
de Silva Dias, U Sao Paulo, mafdsdia@model.iag.usp.br
Paulo
Artaxo, U Sao Paulo, artaxo@if.usp.br
Pedro
Celso, INPE, pedro@if.usp.br
Do
Gramacho, INPE, gram@if.usp.br
Saulo
Freitas, INPE, sfreitas@cptec.inpe.br
Niklas
Juergens, MPI Mainz, n.juergens@gmx.de
Meinrat
O.
Andreae, MPI Mainz, biogeo@mpch-mainz.mpg.de
Scott
R.
Saleska, U Arizona, saleska@email.arizona.edu
Natalia
R.
Coupe, U Arizona, ncoupe@email.arizona.edu
Christine
Wiedenmyer, NCAR, christin@ucar.edu
Megan
Bela, INPE, meganbela@gmail.com
Karla
Longo, INPE, karla.longo@cptec.inpe.br
Current estimates of CO2 fluxes over Amazônia are usually derived by scaling up from a few eddy flux sites to the entire Basin. Recent eddy flux data showing large net uptake differs from the large net sources of CO2 usually attributed to the region due to deforestation and agricultural development. The Blanco Atmosferico Regional de Carbono na Amazonia aircraft measurement program consisted of two aircraft campaigns from November-December 2008 and May-June 2009. The two campaigns encompassed the dry to wet season transition and wet to dry season transition respectively and provided approximately 150 vertical profiles covering the Amazon Basin. We use a Lagrangian Partical Diffusion Model (LPDM) to integrate satellite data, aircraft data, surface observations, and mesoscale meteorological fields to link bottom-up and top-down diagnostic models to provide constraints and error bounds for regional fluxes. Specifically, we use the Stochastic Time-Inverted Lagrangian Transport, (STILT), model driven by meteorological fields from Brazillian Regional Atmospheric Modelling System (BRAMS) coupled to two biosphere models, the Vegetation Photosynthesis Respiration Model (VPRM) and Ecosystem Demography 2 (ED-2) model to determine regional CO2 fluxes for the Amazon basin. Preliminary results show that the STILT-VPRM model does a good job of catching the variability in the diurnal cycle and a net emission of CO2 from both transition periods. There is likely significant contribution from biomass burning during the November-December 2008 flight profiles. Furthermore, the high altitude values (>2750m) is not much different from the initial boundary conditions.
Presentation Type: Poster
Poster Session: Carbon Cycle Science
NASA TE Funded Awards Represented:
Wofsy, Stev
Budgets for Carbon Cycle Gases (CO2, CH4, and CO) in the Amazon Basin from Aircraft and Remote Sensing Data
Wofsy, Steven
Spatial and Temporal Distributions of Sources for non-CO2 Greenhouse Gases (CH4, CO, N2O) and aerosols over Amazonia