Global monthly averaged CO2 fluxes recovered using a geostatistical inverse modeling approach: 1. Results using atmospheric measurements

被引:43
作者
Mueller, Kim L. [1 ]
Gourdji, Sharon M. [1 ]
Michalak, Anna M. [1 ,2 ]
机构
[1] Univ Michigan, Dept Civil & Environm Engn, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Atmospher Ocean & Space Sci, Ann Arbor, MI 48109 USA
基金
美国国家航空航天局; 美国海洋和大气管理局;
关键词
D O I
10.1029/2007JD009734
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study presents monthly CO2 fluxes from 1997 to 2001 at a 3.75 degrees latitude x 5 degrees longitude resolution, inferred using a geostatistical inverse modeling approach. The approach focuses on quantifying the information content of measurements from the NOAA-ESRL cooperative air sampling network with regard to the global CO2 budget at different spatial and temporal scales. The geostatistical approach avoids the use of explicit prior flux estimates that have formed the basis of previous synthesis Bayesian inversions and does not prescribe spatial patterns of flux for large, aggregated regions. Instead, the method relies strongly on the atmospheric measurements and the inferred spatial autocorrelation of the fluxes to estimate sources and sinks and their associated uncertainties at the resolution of the atmospheric transport model. Results show that grid-scale estimates exhibit high uncertainty and relatively little small-scale variability, but generally reflect reasonable fluxes in areas that are relatively well constrained by measurements. The aggregated continental-scale fluxes are better constrained, and estimates are consistent with results from previous synthesis Bayesian inversion studies for many regions. Observed differences at the continental scale are primarily attributable to the choice of a priori assumptions in the current work relative to those in other synthesis Bayesian studies. Overall, the results indicate that the geostatistical inverse modeling approach is able to estimate global fluxes using the limited atmospheric measurement network without relying on assumptions about a priori estimates of the flux distribution. As such, the method provides a means of isolating the information content of the atmospheric measurements, and thus serves as a valuable tool for reconciling top-down and bottom-up estimates of CO2 flux variability.
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页数:15
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共 37 条
[21]   On aggregation errors in atmospheric transport inversions [J].
Kaminski, T ;
Rayner, PJ ;
Heimann, M ;
Enting, IG .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D5) :4703-4715
[22]   PARAMETER UNCERTAINTY IN ESTIMATION OF SPATIAL FUNCTIONS - BAYESIAN-ANALYSIS [J].
KITANIDIS, PK .
WATER RESOURCES RESEARCH, 1986, 22 (04) :499-507
[23]   QUASI-LINEAR GEOSTATISTICAL THEORY FOR INVERSING [J].
KITANIDIS, PK .
WATER RESOURCES RESEARCH, 1995, 31 (10) :2411-2419
[24]   Using generalized cross-validation to select parameters in inversions for regional carbon fluxes [J].
Krakauer, NY ;
Schneider, T ;
Randerson, JT ;
Olsen, SC .
GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (19) :L191081-4
[25]   TransCom 3 CO2 inversion intercomparison:: 2.: Sensitivity of annual mean results to data choices [J].
Law, RM ;
Chen, YH ;
Gurney, KR .
TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY, 2003, 55 (02) :580-595
[26]   A geostatistical approach to surface flux estimation of atmospheric trace gases [J].
Michalak, AM ;
Bruhwiler, L ;
Tans, PP .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2004, 109 (D14) :D14109
[27]   Maximum likelihood estimation of covariance parameters for Bayesian atmospheric trace gas surface flux inversions [J].
Michalak, AM ;
Hirsch, A ;
Bruhwiler, L ;
Gurney, KR ;
Peters, W ;
Tans, PP .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2005, 110 (D24) :1-16
[28]   Interannual and decadal changes in the sea-air CO2 flux from atmospheric CO2 inverse modeling -: art. no. GB4013 [J].
Patra, PK ;
Maksyutov, S ;
Ishizawa, M ;
Nakazawa, T ;
Takahashi, T ;
Ukita, J .
GLOBAL BIOGEOCHEMICAL CYCLES, 2005, 19 (04)
[29]   An atmospheric perspective on North American carbon dioxide exchange:: CarbonTracker [J].
Peters, Wouter ;
Jacobson, Andrew R. ;
Sweeney, Colm ;
Andrews, Arlyn E. ;
Conway, Thomas J. ;
Masarie, Kenneth ;
Miller, John B. ;
Bruhwiler, Lori M. P. ;
Petron, Gabrielle ;
Hirsch, Adam I. ;
Worthy, Douglas E. J. ;
van der Werf, Guido R. ;
Randerson, James T. ;
Wennberg, Paul O. ;
Krol, Maarten C. ;
Tans, Pieter P. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (48) :18925-18930
[30]   The contribution of terrestrial sources and sinks to trends in the seasonal cycle of atmospheric carbon dioxide [J].
Randerson, JT ;
Thompson, MV ;
Conway, TJ ;
Fung, IY ;
Field, CB .
GLOBAL BIOGEOCHEMICAL CYCLES, 1997, 11 (04) :535-560