Evaluating the Role of the CO 2 Source from CO Oxidation P. Suntharalingam Harvard University TRANSCOM Meeting, Tsukuba June 14-18, 2004 Collaborators.

Slides:



Advertisements
Similar presentations
Emissions in GEMS Data on emissions are needed for the 4 sub-systems GHG, GRG, AER and RAQ GEMS Project has dedicated tasks for emissions and surface fluxes.
Advertisements

1 The Evolution of the Recent Atmospheric Methane Budget Lori Bruhwiler, Ed Dlugokencky, Steve Montzka, Pieter Tans Earth System Research Laboratory Boulder,
Simulations and Inverse Modeling of Global Methyl Chloride 1 School of Earth and Atmospheric Sciences, Georgia Institute of Technology 2 Division of Engineering.
Interpreting MLS Observations of the Variabilities of Tropical Upper Tropospheric O 3 and CO Chenxia Cai, Qinbin Li, Nathaniel Livesey and Jonathan Jiang.
Inverse modelling of CO emissions J.-F. Müller and T. Stavrakou Belgian Institute for Space Aeronomy Avenue Circulaire 3, 1180 Brussels
FACTORS GOVERNING THE SEASONAL VARIABILITY OF ATMOSPHERIC CARBONYL SULFIDE Parv Suntharalingam Harvard/Univ. of East Anglia A.J. Kettle, S. Montzka, D.
Assigning carbon fluxes to processes using measurements of the isotopic abundance of carbon-14 Nir Y Krakauer Department of Earth and Planetary Science.
The Atmosphere: Oxidizing Medium In Global Biogeochemical Cycles EARTH SURFACE Emission Reduced gas Oxidized gas/ aerosol Oxidation Uptake Reduction.
Correlation of CO-HCN-C 2 H 2 -C 2 H 6 : Global Constraints on Combustion Sources Biomass burning Biofuels Natural gas/coal C2H6C2H6 ~2 mon CO Fossil fuel.
Simulations of carbon transport in CCM3: uncertainties in C sinks due to interannual variability and model resolution James Orr (LSCE/CEA-CNRS and IPSL,
Interannual variability in CO2 fluxes derived from 64-region inversion of atmospheric CO2 data Prabir K. Patra*, Shamil Maksyutov*, Misa Ishizawa*, Takakiyo.
REFERENCES Maria Val Martin 1 C. L. Heald 1, J.-F. Lamarque 2, S. Tilmes 2 and L. Emmons 2 1 Colorado State University 2 NCAR.
CO 2 fertilization (increased water use efficiency). Plants take in carbon dioxide and lose water vapor through small pores in their leaves called stomata.
Compatibility of surface and aircraft station networks for inferring carbon fluxes TransCom Meeting, 2005 Nir Krakauer California Institute of Technology.
Global simulation of H 2 and HD with GEOS-CHEM Heather Price 1, Lyatt Jaeglé 1, Paul Quay 2, Andrew Rice 2, and Richard Gammon 2 University of Washington,
Evolution of methane concentrations for the period : Interannual variability in sinks and sources J. Drevet, I. Bey, J.O. Kaplan, S. Koumoutsaris,
INITIAL COMPARISONS OF TES TROPOSPHERIC OZONE WITH GEOS-CHEM Lin Zhang, Daniel J. Jacob, Solene Turquety, Shiliang Wu, Qinbin Li (JPL)
Evaluating the Impact of the Atmospheric “ Chemical Pump ” on CO 2 Inverse Analyses P. Suntharalingam GEOS-CHEM Meeting, April 4-6, 2005 Acknowledgements.
Modeling CO 2 and its sources and sinks with GEOS-Chem Ray Nassar 1, Dylan B.A. Jones 1, Susan S. Kulawik 2 & Jing M. Chen 1 1 University of Toronto, 2.
This Week—Tropospheric Chemistry READING: Chapter 11 of text Tropospheric Chemistry Data Set Analysis.
Constraining global isoprene emissions with GOME formaldehyde column measurements Changsub Shim, Yuhang Wang, Yunsoo Choi Georgia Institute of Technology.
Effects of Tropical Deforestation on Tropospheric Chemistry: A 10-year Study using GEOS-Chem Prasad Kasibhatla, Duke University James Randerson and Yang.
S. Maksyutov, P.K. Patra and M. Ishizawa Jena; 13 May 2003 TDI experiment with NIES model and interannually varying NCEP winds.
SOURCES PUITS CO 2 Global Budget (GtC yr -1 ) (1 GtC = gC)
Impact of Reduced Carbon Oxidation on Atmospheric CO 2 : Implications for Inversions P. Suntharalingam TransCom Meeting, June 13-16, 2005 N. Krakauer,
The uptake, transport, and storage of anthropogenic CO 2 by the ocean Nicolas Gruber Department of Atmospheric and Oceanic Sciences & IGPP, UCLA.
Fires and the Contemporary Global Carbon Cycle Guido van der Werf (Free University, Amsterdam, Netherlands) In collaboration with: Jim Randerson (UCI,
The seasonal and interannual variability in atmospheric CO 2 is simulated using best available estimates of surface carbon fluxes and the MATCH atmospheric.
Global budget of ethane and constraints on North American sources from INTEX-A aircraft data Yaping Xiao 1, Jennifer A. Logan 1, Daniel.
TOP-DOWN CONSTRAINTS ON REGIONAL CARBON FLUXES USING CO 2 :CO CORRELATIONS FROM AIRCRAFT DATA P. Suntharalingam, D. J. Jacob, Q. Li, P. Palmer, J. A. Logan,
(Mt/Ag/EnSc/EnSt 404/504 - Global Change) Biogochemistry & Climate (from IPCC WG-I, Chapter 7) Biogeochemistry & Climate Primary Source: IPCC WG-I Chapter.
Exploiting observed CO:CO 2 correlations in Asian outflow to invert simultaneously for emissions of CO and CO 2 Observed correlations between trace gases.
Integration of biosphere and atmosphere observations Yingping Wang 1, Gabriel Abramowitz 1, Rachel Law 1, Bernard Pak 1, Cathy Trudinger 1, Ian Enting.
Seasonal variability of UTLS hydrocarbons observed from ACE and comparisons with WACCM Mijeong Park, William J. Randel, Louisa K. Emmons, and Douglas E.
Development of an EnKF to estimate CO 2 fluxes from realistic distributions of X CO2 Liang Feng, Paul Palmer
The GEOS-CHEM Simulation of Trace Gases over China Li ZHANG and Hong LIAO Institute of Atmospheric Physics Chinese Academy of Sciences April 24, 2008.
A direct carbon budgeting approach to study CO 2 sources and sinks ICDC7 Broomfield, September 2005 C. Crevoisier 1 E. Gloor 1, J. Sarmiento 1, L.
The effect of pyro-convective fires on the global troposphere: comparison of TOMCAT modelled fields with observations from ICARTT Sarah Monks Outline:
Source vs. Sink Contributions to Atmospheric Methane Trends:
Atmospheric O 2 Measurements in HIPPO (HIAPER Pole-to- Pole Observations of Atmospheric Tracers) Britton Stephens, NCAR EOL and TIIMES.
Carbonaceous aerosols – a global modeling view Betty Croft and Ulrike Lohmann * Department of Physics and Atmospheric Science Dalhousie University, Halifax,
Asian Sources of Methane and Ethane Y. Xiao, D.J. Jacob, J. Wang, G.W. Sachse, D.R. Blake, D.G. Streets, et al. Atmospheric Chemistry Modeling Group Harvard.
TROPOSPHERIC CO MODELING USING ASSIMILATED METEOROLOGY Prasad Kasibhatla & Avelino Arellano (Duke University) Louis Giglio (SSAI) Jim Randerson and Seth.
OVERVIEW OF ATMOSPHERIC PROCESSES: Daniel J. Jacob Ozone and particulate matter (PM) with a global change perspective.
TEMIS User Workshop, Frascati, Italy October 8-9, 2007 Formaldehyde application Derivation of updated pyrogenic and biogenic hydrocarbon emissions over.
Improved understanding of global tropospheric ozone integrating recent model developments Lu Hu With Daniel Jacob, Xiong Liu, Patrick.
1 UIUC ATMOS 397G Biogeochemical Cycles and Global Change Lecture 14: Methane and CO Don Wuebbles Department of Atmospheric Sciences University of Illinois,
Dylan Millet Harvard University with D. Jacob (Harvard), D. Blake (UCI), T. Custer and J. Williams (MPI), J. de Gouw, C. Warneke, and J. Holloway (NOAA),
REGIONAL/GLOBAL INTERACTIONS IN ATMOSPHERIC CHEMISTRY Greenhouse gases Halocarbons Ozone Aerosols Acids Nutrients Toxics SOURCE CONTINENT REGIONAL ISSUES:
Climatic implications of changes in O 3 Loretta J. Mickley, Daniel J. Jacob Harvard University David Rind Goddard Institute for Space Studies How well.
Review: Constraining global isoprene emissions with GOME formaldehyde column measurements Shim et al. Luz Teresa Padró Wei-Chun Hsieh Zhijun Zhao.
Error correlation between CO 2 and CO as a constraint for CO 2 flux inversion using satellite data from different instrument configurations Helen Wang.
The Double Dividend of Methane Control Arlene M. Fiore IIASA, Laxenburg, Austria January 28, 2003 ANIMALS 90 LANDFILLS 50 GAS 60 COAL 40 RICE 85 TERMITES.
RESULTS: CO constraints from an adjoint inversion REFERENCES Streets et al. [2003] JGR doi: /2003GB Heald et al. [2003a] JGR doi: /2002JD
Hauglustaine et al. - HYMN KO Meeting th October Forward modelling with the LMDz-INCA coupled climate-chemistry model; Inverse modelling and data.
BACKGROUND AEROSOL IN THE UNITED STATES: NATURAL SOURCES AND TRANSBOUNDARY POLLUTION Daniel J. Jacob and Rokjin J. Park with support from EPRI, EPA/OAQPS.
OsloCTM2  3D global chemical transport model  Standard tropospheric chemistry/stratospheric chemistry or both. Gas phase chemistry + essential heteorogenous.
MOCA møte Oslo/Kjeller Stig B. Dalsøren Reproducing methane distribution over the last decades with Oslo CTM3.
PKU-LSCE winter shool, 14 October 2014 Global methane budget : The period Philippe Bousquet 1, Robin Locatelli 1, Shushi Peng 1, and Marielle.
HYMN: Hydrogen, Methane and Nitrous oxide: Trend variability, budgets and interactions with the biosphere GOCE-CT TM4 model evaluations
TROPOSPHERIC OZONE AS A CLIMATE GAS AND AIR POLLUTANT: THE CASE FOR CONTROLLING METHANE Daniel J. Jacob with Loretta J. Mickley, Arlene M. Fiore, Yaping.
Yuqiang Zhang1, Owen R, Cooper2,3, J. Jason West1
CO2 sources and sinks in China as seen from the global atmosphere
Global 3-D Model Analysis of TRACE-P HCN and CH3CN Measurements
Top-down constraints on emissions of biogenic trace gases from North America Dylan Millet with D.J. Jacob, R.C. Hudman, S. Turquety, C. Holmes (Harvard)
The Double Dividend of Methane Control
Shiliang Wu1 Loretta J. Mickley1, Daniel J
Atmospheric CO2 and O2 Observations and the Global Carbon Cycle
Constraints on Asian Carbon Fluxes using TRACE-P CO2/CO Correlations
Climatic implications of changes in O3
Presentation transcript:

Evaluating the Role of the CO 2 Source from CO Oxidation P. Suntharalingam Harvard University TRANSCOM Meeting, Tsukuba June 14-18, 2004 Collaborators : J. Randerson, J. A. Logan, D. J. Jacob, N. Krakauer, Y. Xiao, R. M. Yantosca, Acknowledgements : NOAA OGP Global Carbon Cycle Program, NASA Carbon Cycle Program

CARBON FLUX FRAMEWORK UNDERLYING MANY ATMOSPHERIC CO 2 INVERSIONS FossilBiosphereLand use Change Ocean Units = Pg C/yr Atmospheric CO

TROPOSPHERIC CO OXIDATION IS A SOURCE OF ATMOSPHERIC CO 2 FossilBiosphere, Land use change, Agriculture, Biomass burning Ocean ATMOSPHERIC CO 2 ATMOSPHERIC CO CO, CH 4, NMHCs Pg C/yr

REDUCED CARBON GASES ARE ACCOUNTED FOR IN EMISSIONS INVENTORIES BUT EMITTED AS CO 2 Fossil fuel : CO 2 emissions based on carbon content of fuel and assuming complete oxidation of CO and volatile hydrocarbons. (Marland and Rotty, 1984; Andres et al. 1996) CASA neutral biosphere : Biospheric C efflux represents respiration (CO 2 ) and emissions of reduced C gases (biogenic hydrocarbons, CH 4,etc) (Randerson et al., 2002; Randerson et al. 1997) CASA Neutral Biosphere Fossil Fuel

ANALYSIS FOCUS: Evaluating the “ Chemical Pump ” Effect IMPLICATIONS FOR FLUX ESTIMATES FROM CO 2 INVERSIONS OF MODELING REDUCED C CONTRIBUTION TO CO 2 AT SURFACE RATHER THAN AT OXIDATION SITE IN TROPOSPHERE STEP 1 : Evaluate impact on modeled concentrations STEP 2 : Implications for atmospheric inversions and estimated fluxes Previous related analyses : Enting and Mansbridge [1991]; Baker [2001] CO 2 from reduced C gases VS. CO 2 source from CO oxidation Surface Source Tropospheric Source

EVALUATION OF THE CHEMICAL PUMP EFFECT Calculate ADJUSTMENT  z model to Model Concentrations 1)Flux estimates from atmospheric inversions are based on difference between modeled and observed CO 2 concentrations : z model – z obs 2) Adjust z model to account for redistribution of reduced gas C from surface inventories to oxidation location in troposphere 3)Adjustment  z model = z COox – z RedC ADD effect of CO oxidation source of CO 2 SUBTRACT effect of reduced C from surface inventories Total carbon source conserved between z COox and z RedC simulations

EVALUATION OF THE CHEMICAL PUMP EFFECT ANALYSIS SETUP USING THE GEOS-CHEM MODEL Standard Simulation CO 2 Source from CO Oxidation = 1.1 Pg C/yr Distribute source according to seasonal 3-D variation of CO 2 production from CO Oxidation Distribute source according to seasonal SURFACE variations of reduced C emissions from Fossil and Biosphere sources CO2 RedC Simulation CO2 COox Simulation Simulations spun up for 3 years. Results from 4 th year of simulation

The GEOS-CHEM Model Global 3-D model of atmospheric chemistry 2 o x2.5 o horizontal resolution; 30 vertical levels Driven by assimilated meteorology (GMAO) The CO simulation run to obtain CO oxidation distribution relies on archived OH fields (monthly) Emissions Distributions (spatial and temporal variability) Fossil : Andres et al. [1996] (annual mean) Biomass Burning : Duncan et al. [2003] (monthly) Biofuels : Yevich and Logan [2003] (annual mean) Biogenic hydrocarbons : Duncan et al. [2004], based on Guenther et al. [1995] (monthly) CH 4 emissions distributions : A priori from Wang et al. [2004] (monthly)

GLOBAL CO BUDGET SOURCES Duncan et al Tg CO Pg C Recent Inverse Analyses * COMBUSTION Fossil Biomass Burning Biofuels TOTAL – 0.55 * Bergamaschi et al. [2000]; Petron et al. [2002]; Kasibhatla et al. [2002] BIOGENICS Isoprene, Monoterpenes, etc CH 4 OXIDATION TOTAL SINKS : Oxidation by OH STANDARD SIMULATION :CO 2 source from CO oxidation of 1.1 Pg C/yr

REDUCED CARBON SOURCES BY SECTOR STANDARD SIMULATION : CO 2 Source from CO Oxidation = 1.1 Pg C/yr * Methane sources distributed according to a priori fields from Wang et al. [2004] REDUCED CARBON SOURCES Pg C/yr Fossil (CO,CH 4,NMHCs)0.27 Biomass Burning (CO,CH 4,NMHCs)0.26 Biofuels (CO,CH 4 )0.09 Biogenic Hydrocarbons0.16 Other Methane Sources*0.31 TOTAL 1.1

CH 4 EMISSIONS AND BUDGET PROPORTIONS Standard Simulation :CH 4 Oxidation to CO = 0.39 Pg C/yr CH 4 emissions distributions and budget proportions from the a priori distribution of Wang et al. [2004] Rice 11% Wetlands 36% Termites 5% Biomass Burning 4% Fossil 16% Landfills 10% Biofuel 2% Livestock 11%

Source Distributions : Annual Mean Zonal Integral of Emissions Latitude CO2 COox : Column Integral of CO 2 from CO Oxidation CO2 RedC :CO 2 Emissions from Reduced C Sources CO2 COox :Maximum in tropics, diffuse CO2 RedC : Localized, corresponding to regions of high CO, CH 4 and biogenic NMHC emissions CO2 COox CO2 RedC gC/(cm 2 yr)

SURFACE CONCENTRATIONS : Annual Mean CO2 RedC  D modelCO2 CO2 COox Chemical Pump Adjustment

ZONAL AVERAGE : CHEMICAL PUMP EFFECT  D modelCO2 at Surface CO2 (ppm) Mean Interhemispheric difference = ppm 0.8 ppm Fossil : Surface, annual mean 1 Pg Fossil fuel CO 2 source gives interhemispheric difference of 0.81 ppm at surface, in GEOS-CHEM model 0.21 ppm Latitude

CHEMICAL PUMP EFFECT AT GLOBALVIEW SITES USED IN TRANSCOM LEVEL 1 INVERSION TRANSCOM Level 1 Inversion residuals from Gurney et al Mean interhemispheric difference at TRANSCOM sites = 0.2 ppm

REGIONAL VARIATION OF CHEMICAL PUMP EFFECT Largest changes in regions in and downstream of high reduced C emissions TAP : ; ITN : ; BAL : (ppm)

IMPACT ON SURFACE FLUX ESTIMATES INTERHEMISPHERIC DIFFERENCE AT GLOBALVIEW SITES (ppm) DECREASE IN NHEM LAND CO 2 UPTAKE (Pg C/yr) Standard Simulation High CO (Petron et al. 2002) Increased Fossil+Biofuel emissions of 0.12 Pg C/yr Preliminary inversion results from J. Randerson, N. Krakauer TRANSCOM Level 1 inversion MATCH model

SUMMARY The atmospheric chemical pump has important implications for modeled CO 2 concentrations and inversion flux estimates. A CO oxidation source of 1.1 Pg C/yr gives a reduction in the modeled annual mean N-S gradient of 0.2 ppm (equivalent to a reduction of 0.2 Pg C/yr in Northern Hemispheric land uptake in an annual mean inversion.) Regional changes are larger; up to 0.6 ppm in regions of high reduced C emissions. Seasonal variations and sensitivities to model assumptions will be explored in future work. We can provide the reduced C source distributions (3D and surface) to TRANSCOM modelers to calculate their own model-specific chemical pump adjustments.