carbon fluxes over temperate asia
DESCRIPTION
CARBON FLUXES OVER TEMPERATE ASIA. N K INDIRA, PS SWATHI, PETER RAYNER, MICHEL RAMONET AND VINOD K GAUR. and temperature. ANSWERS SOUGHT : How would future climate trends evolve in response to specified carbon emissions over a given period ? - PowerPoint PPT PresentationTRANSCRIPT
CARBON FLUXES OVER TEMPERATE ASIA
N K INDIRA, PS SWATHI, PETER RAYNER, MICHEL RAMONET AND VINOD K GAUR
ANSWERS SOUGHT:• How would future climate trends evolve in response to
specified carbon emissions over a given period ?• How are we faring in achieving desired goals assuming
some agreed regulatory measures in place ?
and temperature
C(X*,t*)=Fn(Xj,tj)[δj*] C(X*,t*)=F(Xj,tj) * G(X*,X,t*,t)C(X*,t*)
Inverse mode
•CO2 net fluxesa priori estimation
xb ; var/cov P
Atmospheric transport
H
Atmos. Conc.simulated
ymodel
Observationsyo ; var/cov R
Atmospheric transport model
Forward mode
Sc - ( C V ) = ( C) t
UNCERTAINTIES IN CARBON FLUX ESTIMATION
•UNCERTAINTIES IN TRANSPORT MODELS
• INADEQUATE CONCENTRATION OBSERVATIONS (GURNEY 2002)
TransCom Regions
The highest CO2 observatory in the worldProbably the only one powered by solar energy
ATMOSPH. CO2 CONCENTRATIONS AT HANLEATMOSPH. CO2 CONCENTRATIONS AT HANLEAND FLUX ESTIMATIONS FOR TEMERATE ASIAAND FLUX ESTIMATIONS FOR TEMERATE ASIA
NETWORK DESIGN FOR IMPROVED NETWORK DESIGN FOR IMPROVED COCO22 FLUX ESTIMATIONS FLUX ESTIMATIONS
APPROACH: MINIMISATION OF THE TRACE OF THE COVARIANCES
C(S) -1 = C(So) -1 + JT C(D) -1 J
OF GLOBAL OR EGIONAL SUB-MATRICES USING THE GENETIC ALGORITHM.
FIGURE SHOWS GLOBAL TRACE METRIC AS A FUNCTION OF ONE ADDITIONAL STATION FIGURE SHOWS GLOBAL TRACE METRIC AS A FUNCTION OF ONE ADDITIONAL STATION TO THE NETWORK OF GURNEY (2004). THE NUMBERS SHOW THE LOCATION S TO THE NETWORK OF GURNEY (2004). THE NUMBERS SHOW THE LOCATION S CHOSEN BY GA FOR 1, 2 OR 5, STATION NETWORKS WHICH MATCHES THE SCORE BESTCHOSEN BY GA FOR 1, 2 OR 5, STATION NETWORKS WHICH MATCHES THE SCORE BEST.
Stations numbered 5 are located by GA, +s are the stations originally chosen
PROBLEMS
•REDUCTION/ ATTRIBUTION OF UNCERTAINTIES IN FLUX ESTIMATIONS BECAUSE OF
INADEQUATE DATA
• TENDENCY FOR OPTIMAL NETWORKS IDENTIFIED BY GA TO HAVE CLUSTERING OF
STATIONS
C(D) = AT CT(D) + AN CN(D)
[ CT(D)i ]1/2 ~ 0.32 + (0.32/M) VARi q(i,t) [ CN(D)i ]1/2 ~ NPPi exp[(- (Pi - P*)/H]
Upper left figure represents the advective Cd
and the upper right , that due to PP. The lower left is the total effect