Transcom 3 inversion intercomparison: Model mean results for the estimation of seasonal carbon sources and sinks

نویسندگان

  • Kevin Robert Gurney
  • Rachel M. Law
  • A. Scott Denning
  • Peter J. Rayner
  • Bernard C. Pak
  • David Baker
  • Philippe Bousquet
  • Lori Bruhwiler
  • Yu-Han Chen
  • Philippe Ciais
  • Inez Y. Fung
  • Martin Heimann
  • Jasmin John
  • Takashi Maki
  • Shamil Maksyutov
  • Philippe Peylin
  • Michael Prather
  • Shoichi Taguchi
چکیده

[1] The TransCom 3 experiment was begun to explore the estimation of carbon sources and sinks via the inversion of simulated tracer transport. We build upon previous TransCom work by presenting the seasonal inverse results which provide estimates of carbon flux for 11 land and 11 ocean regions using 12 atmospheric transport models. The monthly fluxes represent the mean seasonal cycle for the 1992 to 1996 time period. The spread among the model results is larger than the average of their estimated flux uncertainty in the northern extratropics and vice versa in the tropical regions. In the northern land regions, the model spread is largest during the growing season. Compared to a seasonally balanced biosphere prior flux generated by the CASA model, we find significant changes to the carbon exchange in the European region with greater growing season net uptake which persists into the fall months. Both Boreal North America and Boreal Asia show lessened net uptake at the onset of the growing season with Boreal Asia also exhibiting greater peak growing season net uptake. Temperate Asia shows a dramatic springward shift in the peak timing of growing season net uptake relative to the neutral CASA flux while Temperate North America exhibits a broad flattening of the seasonal cycle. In most of the ocean regions, the inverse fluxes exhibit much greater seasonality than that implied by the DpCO2 derived fluxes though this may be due, in part, to misallocation of adjacent land flux. In the Southern Ocean, the austral spring and fall exhibits much less carbon uptake than implied by DpCO2 derived fluxes. Sensitivity testing indicates that the inverse estimates are not overly influenced by the prior flux choices. Considerable agreement exists between the model mean, annual mean results of this study and that of the previously published TransCom annual mean inversion. The differences that do exist are in poorly constrained regions and tend to exhibit compensatory fluxes in order to match the global mass constraint. The differences between the estimated fluxes and the prior model over the northern land regions could be due to the prior model respiration response to temperature. Significant phase differences, such as that in the Temperate Asia region, may be due to the limited observations for that region. Finally, differences in the boreal land regions between the prior model and the estimated fluxes may be a reflection of the timing of spring thaw and an imbalance in respiration versus photosynthesis.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

TransCom 3 CO 2 inversion intercomparison : 1 . Annual mean control results and sensitivity to transport and prior flux information

Spatial and temporal variations of atmospheric CO2 concentrations contain information about surface sources and sinks, which can be quantitatively interpreted through tracer transport inversion. Previous CO2 inversion calculations obtained differing results due to different data, methods and transport models used. To isolate the sources of uncertainty, we have conducted a set of annual mean inv...

متن کامل

TransCom 3 CO inversion intercomparison: 2. Sensitivity of annual mean results to data choices

TransCom3 is an intercomparison project for CO source inversions. Annual mean atmospheric CO data are used to estimate CO sources using 16 different atmospheric transport models. Here we test the sensitivity of the inversion to the atmospheric data including data network choice, time period of data, baseline data selection and the choice of data uncertainty used. We find that in most cases regi...

متن کامل

Igbp/gaim Report Series Report #4 Atmospheric Tracer Transport Model Intercomparison Project (transcom) a Special Project of Igbp-gaim G L B a L O Change

2 Overview The goal of Atmospheric Tracer Transport Model Intercomparison Project (TransCom) is to quantify and diagnose the uncertainty in inversion calculations of the global carbon budget that result from errors in the simulated transport. The specific objectives of the TransCom project are (1) quantify the degree of uncertainty in current carbon budget estimates that results from uncertaint...

متن کامل

Sensitivity of atmospheric CO2 inversions to seasonal and interannual variations in fossil fuel emissions

[1] Estimates of fossil fuel CO2 are a critical component in atmospheric CO2 inversions. Rather than solving for this portion of the atmospheric CO2 budget, inversions typically include estimates of fossil fuel CO2 as a known quantity. However, this assumption may not be appropriate, particularly as inversions continue to solve for fluxes at reduced space and timescales. In this study, two diff...

متن کامل

Atmospheric Tracer Transport Model Intercomparison Project (TransCom)

A multi-phase program of model intercomparison is proposed to reduce uncertainties in the global carbon budget resulting from differences among atmospheric tracer transport simulations. The TransCom program is already well underway, having begun in 1993 and completed two major experiments. The results to date are summarized in a Technical Report and indicate that significant differences among t...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004