 Among all CO source/sink terms, the loss due to CO reaction with OH and the emission from biomass burning appear to be main causes for seasonal fluctuation.

Slides:



Advertisements
Similar presentations
MOPITT CO Louisa Emmons, David Edwards Atmospheric Chemistry Division Earth & Sun Systems Laboratory National Center for Atmospheric Research.
Advertisements

Introduction Air stagnation is a meteorological condition when the same air mass remains over an area for several days to a week. Light winds during air.
Atmosphere & Climate Change
CO budget and variability over the U.S. using the WRF-Chem regional model Anne Boynard, Gabriele Pfister, David Edwards National Center for Atmospheric.
Climatology Climatology is the study of Earth’s climate and the factors that affect past, present, and future climatic changes. Climate describes the long-term.
Variability in Ozone Profiles at TexAQS within the Context of an US Ozone Climatology Mohammed Ayoub 1, Mike Newchurch 1 2, Brian Vasel 3 Bryan Johnson.
Interpreting MLS Observations of the Variabilities of Tropical Upper Tropospheric O 3 and CO Chenxia Cai, Qinbin Li, Nathaniel Livesey and Jonathan Jiang.
CO 2 in the middle troposphere Chang-Yu Ting 1, Mao-Chang Liang 1, Xun Jiang 2, and Yuk L. Yung 3 ¤ Abstract Measurements of CO 2 in the middle troposphere.
Seasonal Variations in the Mixing Layer in the UTLS Dave MacKenzie University of Toronto GEOS-Chem Meeting April 2009.
Impact of Seasonal Variation of Long-Range Transport on the Middle Eastern O 3 Maximum Jane Liu, Dylan B. Jones, Mark Parrington, Jay Kar University of.
 We studied a phenomenon of large horizontal gradients of CO at the synoptic scale observed by MOPITT. This may be the first observation of variation.
Evidence for a soil source of CO in the deserts of Saudi Arabia? J. Kar, D. B. A. Jones, J. R. Drummond, P. Hoor*, J. Liu, J. Zou, F. Nichitiu University.
Evaluating the Role of the CO 2 Source from CO Oxidation P. Suntharalingam Harvard University TRANSCOM Meeting, Tsukuba June 14-18, 2004 Collaborators.
Gloudemans 1, J. de Laat 1,2, C. Dijkstra 1, H. Schrijver 1, I. Aben 1, G. vd Werf 3, M. Krol 1,4 Interannual variability of CO and its relation to long-range.
Using My NASA Data to Explore Earth Systems Lynne H. Hehr John G. Hehr University of Arkansas Department of Geosciences And Center for Math and Science.
J. Kar 1, H. Bremer 2, James R. Drummond 1, F. Nichitiu 1, J. Zou 1, J. Liu 1, Y. Rochon 3, J. C. Gille 4, M. N. Deeter 4, G. Francis 4, D. Ziskin 4 and.
ACKNOWLEDGEMENTS We are grateful to the MOPITT team, especially the groups at University of Toronto and the National Center for Atmospheric Research (NCAR),
ICDC7, Boulder, September 2005 CH 4 TOTAL COLUMNS FROM SCIAMACHY – COMPARISON WITH ATMOSPHERIC MODELS P. Bergamaschi 1, C. Frankenberg 2, J.F. Meirink.
December 2002 Section 2 Past Changes in Climate. Global surface temperatures are rising Relative to average temperature.
Occurrence of TOMS V7 Level-2 Ozone Anomalies over Cloudy Areas Xiong Liu, 1 Mike Newchurch, 1,2 and Jae Kim 1,3 1. Department of Atmospheric Science,
1 Using Hemispheric-CMAQ to Provide Initial and Boundary Conditions for Regional Modeling Joshua S. Fu 1, Xinyi Dong 1, Kan Huang 1, and Carey Jang 2 1.
 Expectations 2004  Achievements  Summary + Outlook AT-2 Task Group 1 Progress Thomas Wagner.
Assimilating tropospheric ozone data from TES Mark Parrington, Dylan Jones University of Toronto Kevin Bowman Jet Propulsion Laboratory California Institute.
TRENDS IN ATMOSPHERIC OZONE FROM A LONG-TERM OZONE CLIMATOLOGY Jane Liu 1,2, D. W. Tarasick 3, V. E. Fioletov 3, C. McLinden 3, J. H. Y. Jung 1, T. Zhao.
Heidy Plata 1, Ezinne Achinivu 1, Szu-Ting Chou 1, Sheryl Ehrman 1, Dale Allen 2, Kenneth Pickering 2♦, Thomas Pierce 3, James Gleason 3 1 Department of.
Transport analysis and source attribution of the tropical CO seasonal and interannual variability in the UT/LS Junhua Liu and Jennifer Logan School of.
MONTHLY CO AND FIRE COUNTS IN THREE NORTHERN HEMISPHERE REGIONS AND IN THREE LOW LATITUDE REGIONS  With MOPITT CO data and ATSR fire count data, CO emission.
Climate and Climate Change Environmental Science Spring 2011.
Seasonal variability of UTLS hydrocarbons observed from ACE and comparisons with WACCM Mijeong Park, William J. Randel, Louisa K. Emmons, and Douglas E.
Nitrogen Oxide Emissions Constrained by Space-based Observations of NO 2 Columns University of Houston Amir Souri, Yunsoo Choi, Lijun Diao & Xiangshang.
GP33A-06 / Fall AGU Meeting, San Francisco, December 2004 Magnetic signals generated by the ocean circulation and their variability. Manoj,
Objective Data  The outlined square marks the area of the study arranged in most cases in a coarse 24X24 grid.  Data from the NASA Langley Research Center.
The effect of pyro-convective fires on the global troposphere: comparison of TOMCAT modelled fields with observations from ICARTT Sarah Monks Outline:
Florian Nichitiu a,*, James R. Drummond a, Jiansheng Zou a, Robert Deschambault b a) Department of Physics, University of Toronto, Canada,60 St. George.
Results Figure 2 Figure 2 shows the time series for the a priori and a posteriori (optimized) emissions. The a posteriori estimate for the CO emitted by.
Goal: “What are the sources and physical mechanisms that contribute to high ozone concentrations aloft that have been observed in Central and Southern.
NASA/GSFC Tropospheric Ozone Residual M. Schoeberl NASA/GSFC M. Schoeberl NASA/GSFC.
Central EuropeUS East CoastJapan Global satellite observations of the column-averaged dry-air mixing ratio (mole fraction) of CO 2, denoted XCO 2, has.
Itsushi UNO*, Youjiang HE, Research Institute for Applied Mechanics, Kyushu University, Kasuga, Fukuoka, JAPAN Toshimasa OHARA, Jun-ichi KUROKAWA, Hiroshi.
Lower-tropospheric Ozone Derived from TOMS V7 Level-2 Data Xiong Liu, 1 Mike Newchurch, 1,2 and Jae Kim 1,3 1. Department of Atmospheric Science, University.
Retrieval of Vertical Columns of Sulfur Dioxide from SCIAMACHY and OMI: Air Mass Factor Algorithm Development, Validation, and Error Analysis Chulkyu Lee.
Impact of the changes of prescribed fire emissions on regional air quality from 2002 to 2050 in the southeastern United States Tao Zeng 1,3, Yuhang Wang.
MOPITT during INTEX David Edwards Louisa Emmons, Gabriele Pfister, John Gille, Dan Ziskin, Debbie Mao Atmospheric Chemistry Division NCAR.
How accurately we can infer isoprene emissions from HCHO column measurements made from space depends mainly on the retrieval errors and uncertainties in.
Critical Assessment of TOMS-derived Tropospheric Ozone: Comparisons with Other Measurements and Model Evaluation of Controlling Processes M. Newchurch.
Critical Assessment of TOMS-derived Tropospheric Ozone: Comparisons with Other Measurements and Model Evaluation of Controlling Processes M. Newchurch.
Validation of Satellite-derived Clear-sky Atmospheric Temperature Inversions in the Arctic Yinghui Liu 1, Jeffrey R. Key 2, Axel Schweiger 3, Jennifer.
This report presents analysis of CO measurements from satellites since 2000 until now. The main focus of the study is a comparison of different sensors.
MOPITT and MOZART for Flight Planning and Analysis of INTEX-B Louisa Emmons Peter Hess, Avelino Arellano, Gabriele Pfister, Jean-François Lamarque, David.
Aerosol Pattern over Southern North America Tropospheric Aerosols: Science and Decisions in an International Community A NARSTO Technical Symposium on.
Convective Transport of Carbon Monoxide: An intercomparison of remote sensing observations and cloud-modeling simulations 1. Introduction The pollution.
Analysis of TES and MLS tropospheric data for ozone and CO in 2005 and 2006 using the GMI and GEOS-Chem global models. Jennifer A. Logan, Ray Nassar, Inna.
Variability of CO 2 From Satellite Retrievals and Model Simulations Xun Jiang 1, David Crisp 2, Edward T. Olsen 2, Susan S. Kulawik 2, Charles E. Miller.
Methodology & Data The tropospheric residual method identifies large amounts of tropospheric ozone southern tropical Atlantic in austral spring. A series.
OsloCTM2  3D global chemical transport model  Standard tropospheric chemistry/stratospheric chemistry or both. Gas phase chemistry + essential heteorogenous.
Jean-François Lamarque, Peter Hess, Louisa Emmons, and John Gille Figure 2 Days since June CO Mixing ratio (ppbv) See description above. AsiaNorth.
27-28/10/2005IGBP-QUEST Fire Fast Track Initiative Workshop Inverse Modeling of CO Emissions Results for Biomass Burning Gabrielle Pétron National Center.
Yuqiang Zhang1, Owen R, Cooper2,3, J. Jason West1
J. Kar (UT), H. Bremer (UB), James R. Drummond (UT), F
The impacts of dynamics and biomass burning on tropical tropospheric Ozone inferred from TES and GEOS-Chem model Junhua Liu
Yuqiang Zhang1,2, Owen R, Cooper3,4, Audrey Gaudel3,4, Anne M
Variability of CO2 From Satellite Retrievals and Model Simulations
Monika Kopacz, Daniel Jacob, Jenny Fisher, Meghan Purdy
NASA Satellite Images for 2007
Aura Science Team meeting
Variability of CO2 From Satellite Retrievals and Model Simulations
Analysis of CO in the tropical troposphere using Aura satellite data and the GEOS-Chem model: insights into transport characteristics of the GEOS meteorological.
Continental outflow of ozone pollution as determined by ozone-CO correlations from the TES satellite instrument Lin Zhang Daniel.
Transpacific satellite and aircraft observations of Asian pollution: An Integration of MOPITT and TRACE-P Colette L. Heald, Daniel J. Jacob, Arlene M.
The effect of tropical convection on the carbon monoxide distribution in the upper troposphere inferred from Aura Satellite data and GEOS-Chem model Junhua.
Presentation transcript:

 Among all CO source/sink terms, the loss due to CO reaction with OH and the emission from biomass burning appear to be main causes for seasonal fluctuation of CO total column. In a normal year, the former predominantly determines the seasonal course of CO abundance in the northern hemisphere whereas the latter has a great influence on the course in the southern hemisphere. As a result, the seasonal variation of global mean CO generally shows two peaks in April-May and October-November.  As land is a source of CO and the fraction of land increases with latitude, the global annual mean CO total column increases rapidly with latitude, especially from the south pole to equator. The longitudinal mean CO varies less than that across latitudes. The rate of CO increase with latitude is usually the smallest in June/July and the largest in April/May. The amplitude of seasonal variation of CO is low in the southern hemisphere and high in the northern hemisphere. The latitudinal/longitudinal distributions generally agree with previous studies with some discrepancies. All of these illustrate the combined effects of natural and anthropogenic factors on the CO distributions.  The CO total column generally decreases with elevation because of the reduction of air mass. In terms of the global annual mean for year 2000, the CO total column declines at a lapse rate of 0.3  molecules/cm 2 per kilometer. This rate changes in different regions and seasons.  With a series of daily global mean CO from 2000 to 2004, a short-time trend of  molecules/cm 2 per year is found. A long-term trend can be established if MOPITT continues on orbit for a longer period and other space-borne instrument are available to replace MOPITT when it is not operating.  It should be recognized that the CO total column is retrieved from CO mixing ratios at several heights with knowledge of averaging kernels and a priori. As MOPITT is not sensitive to surface CO, this may bring about errors in the retrieved CO total column. After comparing with in situ measurement, Emmons et al. (2004) have reported an average bias of 5  11% in MOPITT total CO column data. References Emmons, L.K., et al., Validation of Measurements of Pollution in the Troposphere (MOPITT) CO retrievals with aircraft in situ profiles, J. Geophys. Res., 109(D3), D03309, /2003JD004101, 14 February James R. Drummond 1, Jane Liu 1, Florian Nichitiu 1, Jay Kar 1, Holger Bremer 1,2, Jason Zou 1, and John C. Gille 3 1 Department of Physics, University of Toronto, 60 St. George Street, Toronto, Ontario, Canada M5S 1A7 2 Institute of Environmental Physics, University of Bremen, PO Box , D-28334, Bremen, Germany 3 National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO , USA Global Distributions of Carbon Monoxide Total Column: A Statistical Analysis from MOPITT Data INTRODUCTION Measurements Of Pollution In The Troposphere (MOPITT) is a sensor developed for measuring carbon monoxide (CO) and methane from space. It is on board NASA Terra earth observation system (EOS) satellite, which was launched on December 18, CO measurements made by MOPITT have significantly enhanced our understanding of temporal and spatial distributions of CO in the atmosphere and the mechanisms governing the distributions. In this study, the global CO data are statistically analyzed in terms of CO total column variations with time, latitude, longitude, and elevation. These statistics provide a new and comprehensive overview of global CO distributions in a quantitative way. This information is useful not only for the atmospheric science community but also for other disciplines and the public, owing to the importance of CO as a major pollutant, a precursor of ozone, and its effects on many atmospheric chemical processes. The CO data have illustrated the combined effects of natural and anthropogenic factors on the CO distributions in the atmosphere. Preliminary results from the analysis are presented in this poster. DISCUSSION AND CONCLUSIONS Paper No: A43B-01 Acknowledgments The MOPITT project is funded by the Natural Sciences and Engineering Research Council (NSERC) of Canada, the Meteorological Service of Canada and the Canadian Space Agency (CSA). The US team and the Terra spacecraft are funded by NASA. For more information, please contact: Jim Drummond, Jane Liu, TEMPORAL VARIATIONS OF CO IN THE GLOBE AND THE TWO HEMISPHERES SPATIAL DISTRIBUTION OF GLOBAL CO CO VARIATION WITH ELEVATION AND A SHORT TERM TREND Figure 7. A time series of global daily mean total CO column for 4 years. The short time trend of  molecules/cm 2 per year may result from much biomass burning in year 2002 (an El Nino year). Figure 6. Overlaying the image of yearly mean CO (Figure 1c) with a digital elevation map from USGS, the total CO column is found to decrease with elevation, on average, at a rate of 0.3  molecules/cm 2 per kilometer. Figure 3. Taking a global mean of daily CO total column, an annual pattern with two peaks is obtained, one in April-May and the other in October-November. This pattern has been repeated for the last four years with some interannual variations in magnitude and phase. This pattern may not be captured if the global CO amount is integrated from surface observations, and is not reproduced in some chemical transport models. Figure 2. The daily mean of CO total column in the northern hemisphere (2a, left panel) and the southern hemisphere (2b, right panel) for 4 years ( ). The mean CO of the northern hemisphere usually reaches its maximum in April-May, mainly because of low atmospheric oxidation capacity at the time. The maximum CO in the southern hemisphere often appears in October- November due to large fire events and is therefore somewhat variable. The general pattern is associated with large interannual variations. Notice the scale for the southern hemisphere is lower. Figure 5. This figure provides an overview of the changes in CO with both latitude and month in more detail for the period from March 2000 to February This supplements Figure 2 on CO changes with time (horizontal direction) and Figure 4a on CO variations with latitude (vertical direction). Vertically, the rate of CO increase with latitude is only  molecules/cm 2 per degree between  60  in June/July, and the rate is twice as large in April/May. Horizontally, the amplitude of seasonal variation of CO is low in the southern hemisphere at 45  S and 5  S (0.4  molecules/cm 2 ). In the northern hemisphere, the amplitude is ~0.6  molecules/cm 2 with small variations with latitude. Figure 4. Examples of CO variations with latitude (4a, left panel) and with longitude (4b, right panel) for yearly mean CO in As land is a source of CO and the fraction of land increases with latitude, the global annual mean CO total column increases with latitude from ~1.0  molecules/cm 2 in the south pole to 2.1  molecules/cm 2 at 0 , then remains around that level up to the north pole. When looking at CO over land only, a peak of 2.3  between 10  S and 10  N and a trough at 34  N can be found. The former results from vegetation fires in the tropics and the latter is due to the Plateau of Tibet. The trend of CO with latitude is similar to that for CO 2. Along longitude circles, the global annual mean CO fluctuates from 1.6 to 1.9  molecules/cm 2, a variation smaller than that across latitudes. The fluctuation is larger over land than over the oceans. VARIATION OF CO TOTAL COLUMN WITH LATITUDE AND LONGITUDE SEASONAL VARIATION OF CO TOTAL COLUMN WITH LATITUDE Figure 1. Images of monthly mean CO total column in May 2000 (1a, upper left panel) and November 2000 (1b, upper right panel). A yearly mean CO total column for the first year MOPITT operation (March 2000 – February 2001) is shown in Figure 1c (lower left panel). The images illustrate CO emission from biomass burning in Africa and South America in November, large latitudinal gradients in May and many other features discussed below.