@InProceedings{GerbigCBKKKBLFWACKSGLDMSMRAJQR:2010:AsRe,
author = "Gerbig, C and Chow, V Y and Beck, V and Kretschmer, R and Koch, T
and K Pillai, D and Bela, M M and Longo, Karla and Freitas, Saulo
Ribeiro de and Wofsy, S C and Artaxo, P and Chen, H and Kolle, O
and Steinbach, J and Gottlieb, E W and Longo, M and Daube, B C and
Munger, J W and Santoni, G and Morais, F and Ribeiro, A C and
Andreae, M O and Juergens, N and Querino, C A and Roeckmann, T",
affiliation = "Department of Biogeochemical Systems, Max Planck Institute for
Biogeochemistry, Jena, Germany and Department of Earth and
Planetary Science, Harvard University, Cambridge, MA, USA and
Department of Biogeochemical Systems, Max Planck Institute for
Biogeochemistry, Jena, Germany and Department of Biogeochemical
Systems, Max Planck Institute for Biogeochemistry, Jena, Germany
and Department of Biogeochemical Systems, Max Planck Institute for
Biogeochemistry, Jena, Germany and Department of Biogeochemical
Systems, Max Planck Institute for Biogeochemistry, Jena, Germany
and Center for Earth System Science, National Institute for Space
Research, S{\~a}o Jos{\'e} dos Campos, Brazil and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and Department of Earth and Planetary
Science, Harvard University, Cambridge, MA, USA and Instituto de
Fisica, Universidade de Sao Paulo, S{\~a}o Paulo, Brazil and
Department of Biogeochemical Systems, Max Planck Institute for
Biogeochemistry, Jena, Germany and Department of Biogeochemical
Systems, Max Planck Institute for Biogeochemistry, Jena, Germany
and Department of Biogeochemical Systems, Max Planck Institute for
Biogeochemistry, Jena, Germany and Department of Earth and
Planetary Science, Harvard University, Cambridge, MA, USA and
Department of Earth and Planetary Science, Harvard University,
Cambridge, MA, USA and Department of Earth and Planetary Science,
Harvard University, Cambridge, MA, USA and Department of Earth and
Planetary Science, Harvard University, Cambridge, MA, USA and
Department of Earth and Planetary Science, Harvard University,
Cambridge, MA, USA and Instituto de Fisica, Universidade de Sao
Paulo, S{\~a}o Paulo, Brazil and Instituto de Fisica,
Universidade de Sao Paulo, S{\~a}o Paulo, Brazil and
Biogeochemistry Department, Max Planck Institute for Chemistry,
Mainz, Germany and Biogeochemistry Department, Max Planck
Institute for Chemistry, Mainz, Germany and Institute for Marine
and Atmospheric Research Utrecht, Utrecht University, Utrecht,
Netherlands and Institute for Marine and Atmospheric Research
Utrecht, Utrecht University, Utrecht, Netherlands",
title = "High resolution WRF-VPRM modeling of atmospheric CO2 over the
Amazon during BARCA: Assessment of representativeness",
booktitle = "Abstracts...",
year = "2010",
organization = "The Meeting of the Americas.",
keywords = "Biosphere, atmosphere interactions, biogeochemical cycles,
processes, and modeling, biosphere, atmosphere interactions,
carbon cycling.",
abstract = "High resolution forward modeling of CO2 over the Amazon was
performed for the period of the BARCA (Balan{\c{c}}o
Atmosf{\'e}rico Regional de Carbono na Amaz{\^o}nia) campaign.
For this, a Eulerian as well as a Lagrangian approach were used.
The Eulerian framework WRF-VPRM combines the mesoscale chemical
transport model WRF-Chem with the diagnostic biosphere model VPRM
(Vegetation Photosynthesis and Respiration Model). VPRM, driven by
the MODIS 8-daily indices EVI and LSWI at high spatial resolution
(10 km) and by WRF radiation and temperature fields, provides
hourly a priori fluxes for biosphere-atmosphere exchange. The
WRF-VPRM simulations show realistic spatiotemporal variations of
CO2, ideal for assessing the relationship between patterns in
surface-atmosphere fluxes and those in atmospheric mixing ratios.
As a Lagrangian framework, STILT (Stochastic Time Inverted
Lagrangian Transport) coupled to VPRM fluxes was used, starting
ensembles of particle back-trajectories along the flight paths and
providing contributions from upstream surface influences. A
comprehensive comparison of the mesoscale simulations with the
extensive airborne observations during BARCA covering the lower
troposphere with a multitude of vertical profiles over the Amazon
is presented. This is used for assessing the representativeness of
BARCA measurements, with special focus on the ability of the
aircraft to sample the 3D distribution of CO2 over the entire
Amazon Basin. In addition, model output is compared against long
term tower based measurements from different sites, establishing
their regional representativeness. A comparison of measured
vertical gradients with those from the Lagrangian and Eulerian
simulations is made to evaluate the models ability to represent
vertical transport through turbulent mixing and convective
uplifting. This study represents a precondition for utilization of
those measurements and modeling systems in mesoscale inverse
analyses to derive sub-basin scale flux estimates.",
conference-location = "Foz do Igua{\c{c}}u, BR",
conference-year = "08-12 aug 2010",
language = "en",
urlaccessdate = "19 jan. 2021"
}