Global observations of the carbon budget: 1. Expected satellite capabilities for emission spectroscopy in the EOS and NPOESS eras

This paper investigates the expected capabilities of the new generation of infrared satellite sounders for detecting CO2. A general circulation model is used to simulate realistic CO2 fields and to define the needed accuracy of CO2 observations in order to be useful in constraining surface sources and sinks of CO2, which will be described in more detail in a future paper. Optimal estimation retrieval theory is then used to determine the possible accuracy of the satellite measurements and to define the retrieval characteristics. A discussion of several factors that affect the retrievals is also included. We conclude that tropospheric column retrievals of CO2 are possible with an accuracy of better than 1 ppmv on a monthly mean basis. Several factors, like thin cirrus clouds and radiative transfer modeling errors, will degrade these results if not carefully accounted for. The possibility of extensive time and spatial averaging of the satellite observations will overcome some of these problems.

[1]  C. Rodgers,et al.  The computation of infra‐red cooling rate in planetary atmospheres , 1966 .

[2]  W. Malkmus,et al.  Random Lorentz band model with exponential-tailed S-1 line-intensity distribution function , 1967 .

[3]  C. Rodgers,et al.  Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation , 1976 .

[4]  A. Tarantola Inverse problem theory : methods for data fitting and model parameter estimation , 1987 .

[5]  F. X. Kneizys,et al.  Line shape and the water vapor continuum , 1989 .

[6]  A. Lacis,et al.  A description of the correlated k distribution method for modeling nongray gaseous absorption, thermal emission, and multiple scattering in vertically inhomogeneous atmospheres , 1991 .

[7]  U. Schmidt,et al.  In situ measurements of carbon dioxide in the winter Arctic vortex and at midlatitudes: An indicator of the ‘age’ of stratopheric air , 1991 .

[8]  David A. Randall,et al.  A second-order bulk boundary-layer model , 1992 .

[9]  R. Aumann,et al.  The Atmospheric Infrared Sounder on EOS , 1993 .

[10]  Pieter P. Tans,et al.  Evidence for interannual variability of the carbon cycle from the National Oceanic and Atmospheric Administration/Climate Monitoring and Diagnostics Laboratory Global Air Sampling Network , 1994 .

[11]  Hartmut H. Aumann,et al.  Atmospheric Infrared Sounder on the Earth Observing System , 1994 .

[12]  D. Randall,et al.  Latitudinal gradient of atmospheric CO2 due to seasonal exchange with land biota , 1995, Nature.

[13]  P. P. Tans,et al.  Changes in oceanic and terrestrial carbon uptake since 1982 , 1995, Nature.

[14]  Ian G. Enting,et al.  A synthesis inversion of the concentration and δ 13 C of atmospheric CO 2 , 1995 .

[15]  Pieter P. Tans,et al.  Extension and integration of atmospheric carbon dioxide data into a globally consistent measurement record , 1995 .

[16]  C. Justice,et al.  A revised land surface parameterization (SiB2) for GCMs. Part III: The greening of the Colorado State University general circulation model , 1996 .

[17]  Inez Y. Fung,et al.  Variations in modeled atmospheric transport of carbon dioxide and the consequences for CO2 inversions , 1996 .

[18]  D. Randall,et al.  Simulations of terrestrial carbon metabolism and atmospheric CO2 in a general circulation model: Part 2: Simulated CO2 concentrations , 1996 .

[19]  Gregg Marland,et al.  A 1° × 1° distribution of carbon dioxide emissions from fossil fuel consumption and cement manufacture, 1950–1990 , 1996 .

[20]  Darren L. Jackson,et al.  Global observations of upper-tropospheric water vapor derived from TOVS radiance data , 1996 .

[21]  Ian G. Enting,et al.  Optimizing the CO2 observing network for constraining sources and sinks , 1996 .

[22]  Richard J. Engelen,et al.  Infrared radiative transfer in the 9.6-μm band: Application to TIROS operational vertical sounder ozone retrieval , 1997 .

[23]  Christopher B. Field,et al.  The contribution of terrestrial sources and sinks to trends in the seasonal cycle of atmospheric carbon dioxide , 1997 .

[24]  Laurence S. Rothman,et al.  The HITRAN molecular spectroscopic database and HAWKS (HITRAN atmospheric workstation) , 1998, Defense, Security, and Sensing.

[25]  Gloor,et al.  A Large Terrestrial Carbon Sink in North America Implied by Atmospheric and Oceanic Carbon Dioxide Data and Models , 2022 .

[26]  Jean-Noël Thépaut,et al.  The information content of clear sky IASI radiances and their potential for numerical weather prediction , 1998 .

[27]  Laurence S. Rothman,et al.  Reprint of: The HITRAN molecular spectroscopic database and HAWKS (HITRAN Atmospheric Workstation): 1996 edition , 1998 .

[28]  J. Derber,et al.  A reformulation of the background error covariance in the ECMWF global data assimilation system , 1999 .

[29]  Philippe Ciais,et al.  Inverse modeling of annual atmospheric CO2 sources and sinks , 1999 .

[30]  D. Randall,et al.  Sensitivity of the simulated Asian summer monsoon to parameterized physical processes , 1999 .

[31]  Louis Garand,et al.  A physical formulation of atmospheric transmittances for the massive assimilation of satellite infrared radiances , 1999 .

[32]  Taro Takahashi,et al.  Net sea-air CO2 flux over the global oceans: An improved estimate based on the sea-air pCO2 difference , 1999 .

[33]  Philippe Bousquet,et al.  Inverse modeling of annual atmospheric CO2 sources and sinks. 2. Sensitivity study , 1999 .

[34]  Thomas Kaminski,et al.  A coarse grid three-dimensional global inverse model of the atmospheric transport. 2. Inversion of the transport of CO2 in the 1980s , 1999 .

[35]  Richard J. Engelen,et al.  Characterization of water-vapour retrievals from TOVS/HIRS and SSM/T-2 measurements , 1999 .

[36]  Ian G. Enting,et al.  Reconstructing the recent carbon cycle from atmospheric CO2, δ13C and O2/N2 observations* , 1999 .

[37]  Pierre Friedlingstein,et al.  Three-dimensional transport and concentration of SF6. A model intercomparison study (TransCom 2) , 1999 .

[38]  D. Randall,et al.  Simulation of upper tropospheric clouds with the Colorado State University general circulation model , 1999 .

[39]  N. Mahowald,et al.  Inverse methods in global biogeochemical cycles , 2000 .

[40]  Clive D Rodgers,et al.  Inverse Methods for Atmospheric Sounding: Theory and Practice , 2000 .

[41]  Luc Fillion,et al.  Coupling of Moist-Convective and Stratiform Precipitation Processes for Variational Data Assimilation , 2000 .

[42]  Jorge L. Sarmiento,et al.  Optimal sampling of the atmosphere for purpose of inverse modeling: A model study , 2000 .

[43]  P. Tans,et al.  Global Carbon Sinks and Their Variability Inferred from Atmospheric O2 and δ13C , 2000 .

[44]  P. Rayner,et al.  The utility of remotely sensed CO2 concentration data in surface source inversions , 2001 .