Estimation of regional CO2 fluxes using

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ChEAS 2005
Estimation of regional CO2 fluxes
using concentration measurements from a ring of
towers
Marek Uliasz, Andrew Schuh Scott
Denning Department of Atmospheric
Science Colorado State University
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Inversion experiments using CO2 pseudo-data
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RAMS
meteorological fields
LPDM
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RAMS
meteorological fields
LPDM
influence functions
CO2 observations
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RAMS
meteorological fields
a-priori estimates of CO2 surface inflow fluxes
LPDM
inversions
influence functions
CO2 observations
CO2 flux estimate
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Example of estimation of NEE averaged for August
2000

• Bayesian inversion technique using influence
  function derived from CSU RAMS and
• Lagrangian particle model
• flux estimation for source areas in polar
  coordinates within 400 km from WLEF tower
• (better coverage by atmospheric transport)
• NEE decomposed into respiration and
  assimilation fluxes
• RR0, AA0 f(short wave radiation,
  vegetation class)
• inversion calculations for increasing number
  of concentration data (time series from towers)
• NEE uncertainty presented in terms of standard
  deviation derived from posteriori covariance
  matrix
• inflow CO2 flux is assumed to be known from a
  large scale transport model
• in further work, concentration data from
  additional tower will be used to improve the
  inflow flux
• given by a large scale model

Configuration of source areas with WLEF tower in
the center of polar coordinates
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Conclusions from pseudo-data inversion
Successful inversions for surface fluxes as long
as inflow flux is known
Difficulty to handle inflow flux(es) as unknown
parameter in inversions
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RAMS
meteorological fields
a-priori estimates of CO2 surface inflow fluxes
LPDM
inversions
influence functions
CO2 observations
CO2 flux estimate
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SiB-RAMS
CO2 fields
CO2 fluxes
meteorological fields
a-priori estimates of CO2 surface inflow fluxes
LPDM
inversions
influence functions
CO2 observations
CO2 flux estimate
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SiB-RAMS gtgtgt LPDM
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PCTM
SiB-RAMS
LPDM
off-line transport model
forward/backward model
Lagrangian particle model
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?
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meteorological fields
CO2 fields and fluxes
other fields
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subdomain extraction for LPDM
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subdomain extraction for LPDM
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subdomain extraction for LPDM
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subdomain extraction for LPDM
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subdomain extraction for LPDM
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subdomain extraction for LPDM
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subdomain extraction for LPDM
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SiB-RAMS simulation summer 2004 2 nested
grids 2001 NDVI by Andrew Schuh
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influence function for concentration measurements
C
concentration sample
surface fluxes
initial concentration
inflow fluxes
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contribution of initial field and inflow flux
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contribution of initial field and inflow flux
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contribution of initial field and inflow flux
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contribution of respiration and assimilation
fluxes
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contribution of respiration and assimilation
fluxes
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modeling approach to CO2 data analysis
Cold front passage across the ring
Application of influence functions to analyze CO2
episodes
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The Ring of Towers
40m Sylvania flux tower with high-quality
standard gases.
LI-820 sampling from 75m above ground
on communication towers.
447m WLEF tower. LI-820, CMDL in situ and
flask measurements.
data provided by Ken Davis, Scott J. Richardson
and Natasha Miles, The Pennsylvania State
University
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CO2 from 5 sites, April 29, 2004
1200 UTC
Ken Davis, Scott J. Richardson and Natasha Miles
The
Pennsylvania State University
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sunset
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sunrise
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Further work
SiB-RAMS simulations for 2004
model evaluation against data (meteorology, CO2)
inversions for regional CO2 fluxes
Interpretation of CO2 observations in selected
episodes