"Designing Lagrangian experiments to measure regional-scale trace gas fluxes"

Journal of Geophysical Research Atmospheres

Volumn 112, Issue 13, 2007, Pages

  Lin, J C ^a   Gerbig, C ^b   Wofsy, S C ^c   Chow, V Y ^c   Gottlieb, E ^c   Daube, B C ^c   Matross, D M ^c  

^a UNIVERSITY OF WATERLOO   (Canada)

^b MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY   (Germany)

^c HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AERODYNAMICS; ATMOSPHERIC COMPOSITION; ATMOSPHERIC RADIATION; ERROR ANALYSIS; MATHEMATICAL MODELS; RADIOSONDES; STATISTICS; TRACE ELEMENTS;

ATMOSPHERIC CHEMISTRY; CARBON BUDGET; CARBON DIOXIDE; CARBON FLUX; DISPERSION; TRACE GAS;

EID: 34548657136     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006JD008077     Document Type: Article

References (53)

1. Baldocchi, D., et al. (2001), FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor and energy flux densities, Bull. Am. Meteorol. Soc., 82, 2415-2435.
2. Bates, T. S., B. J. Huebert, J. L. Gras, F. B. Griffiths, and P. A. Durkee (1998), International Global Atmospheric Chemistry (IGAC) project's First Aerosol Characterization Experiment (ACE 1): Overview, J. Geophys. Res., 103(D13), 16,297-16,318.
3. Black, T. L. (1994), The new NMC mesoscate Eta-model - Description and forecast examples, Weather Forecast., 9(2), 265-278.
4. Brasseur, G. P., J. J. Orlando, and G. S. Tyndall (1999), Atmospheric Chemistry and Global Change, 654 pp., Oxford Univ. Press, New York.
5. Cotton, W. R., et al. (2001), RAMS 2001: Current status and future directions, Meteorol. Atmos. Phys., 82, 5-29.
6. Daube, B. C., K. A. Boering, A. E. Andrews, and S. C. Wofsy (2002), A high-precision fast-response airborne CO2 analyzer for in situ sampling from the surface to the middle stratosphere, J. Atmos. Oceanic Technol., 19, 1532-1543.
7. Denning, A. S., et al. (1999), Three-dimensional transport and concentration of SF6: A model intercomparison study (TransCom 2), Tellus, 51B, 266-297.
8. Draxler, R. R. (2003), Evaluation of an ensemble dispersion calculation, J. Appl. Meteorol., 42, 308-317.
9. Draxler, R. R., and G. D. Hess (1997), Description of the HYSPLIT_4 modeling system, NOAA Tech. Memo. ERL ARL-224, 24 pp.
10. Draxler, R. R., and G. D. Hess (1998), An overview of the HYSPLIT_4 modelling system for trajectories, dispersion, and deposition, Aust. Meteorol. Mag., 47, 295-308.
11. Ehleringer, J. R., and C. B. Field (1993), Scaling physiological processes: Leaf to globe, 179-190 pp., Elsevier, New York.
12. Gerbig, C., S. Schmitgen, D. Kley, A. Volz-Thomas, K. Dewey, and D. Haaks (1999), An improved fast-response vacuum-UV resonance flourescence CO instrument, J. Geophys. Res., 104(D1), 1699-1704.
13. Gerbig, C., J. C. Lin, S. C. Wofsy, B. C. Daube, A. E. Andrews, B. B. Stephens, P. S. Bakwin, and C. A. Grainger (2003a), Toward constraining regional-scale fluxes of CO2 with atmospheric observations over a continent: 1. Observed spatial variability from airborne platforms, J. Geophys. Res., 108(D24), 4756, doi: 10.1029/2002JD003018.
14. Gerbig, C., J. C. Lin, S. C. Wofsy, B. C. Daube, A. E. Andrews, B. B. Stephens, P. S. Bakwin, and C. A. Grainger (2003b), Toward constraining regional-scale fluxes of CO2 with atmospheric observations over a continent: 2. Analysis of COBRA data using a receptor-oriented framework, J. Geophys. Res., 108(D24), 4757, doi:10.1029/ 2003JD003770.
15. Gerbig, C., S. Korner, and J. Noilhan (2006), Uncertainties in atmospheric tracer modeling: Is there hope for quantification of regional scale greenhouse gas exchange fluxes through inversions?, in European Geosciences Union Meeting, Vienna, Austria.
16. Goulden, M. L., J. W. Munger, S.-M. Fan, B. C. Daube, and S. C. Wofsy (1996), Exchange of carbon dioxide by a deciduous forest: Response to interannual climate variability, Science, 271, 1576-1578.
17. Grell, G. A., J. Dudhia, and D. R. Stauffer (1994), A description of the Fifth-generation Penn State/NCAR Mesoscale Model (MM5)., pp. 122, NCAR Tech. Note TN-398 + STR, Nat. Cent. for Atmos. Res., Boulder, Colo.
18. Hollinger, D. Y., S. M. Goltz, E. A. Davidson, J. T. Lee, K. Tu, and H. T. Valentine (1999), Seasonal patterns and environmental control of carbon dioxide and water vapor exchange in an ecotonal boreal forest, Glob. Chang. Biol., 5, 891-902.
19. Intergovernmental Panel on Climate Change (IPCC) (2001), Climate Change: The Scientific Basis, 944 pp., Cambridge Univ. Press, New York.
20. Kalnay, E. (2002), Atmospheric Modeling, Data Assimilation, and Predictability, 364 pp., Cambridge Univ. Press, New York.
21. Kalnay, E., S. J. Lord, and R. D. McPherson (1998), Maturity of operational numerical weather prediction: Medium range, Bull. Am. Meteorol. Soc., 79(12), 2753-2769.
22. Kanamitsu, M. (1991), Recent changes implemented into the Global Forecast System at NMC, Weather Forecast., 6(3), 425-435.
23. Law, R. M., et al. (1996), Variations in modeled atmospheric transport of carbon dioxide and the consequences for CO2 inversions, Glob. Biogeochem. Cycles, 10(4), 783-796.
24. Lin, J. C., and C. Gerbig (2005), Accounting for the effect of transport errors on tracer inversions, Geophys. Res. Lett., 32, L01802, doi:10.1029/2004GL021127.
25. Lin, J. C., C. Gerbig, S. C. Wofsy, A. E. Andrews, B. C. Daube, K. J. Davis, and C. A. Grainger (2003), A near-field tool for simulatmg the upstream influence of atmospheric observations: the Stochastic Time-Inverted Lagrangian Transport (STILT) model, J. Geophys. Res., 108(D16), 4493, doi:10.1029/2002JD003161.
26. Lin, J. C., C. Gerbig, S. C. Wofsy, A. E. Andrews, B. C. Daube, C. A. Grainger, B. B. Stephens, P. S. Bakwin, and D. Y. Hollinger (2004), Measuring fluxes of trace gases at regional scales by Lagrangian observations: Application to the CO2 Budget and Rectification Airborne (COBRA) study, J. Geophys. Res., 109, D15304, doi:10.1029/ 2004JD004754.
27. Lin, J. C., C. Gerbig, S. C. Wofsy, B. C. Daube, D. M. Matross, V. Y. Chow, E. Gottlieb, A. E. Andrews, M. Pathmathevan, and J. W. Munger (2006), What have we learned from intensive atmospheric sampling field programs of CO2?, Tellus, doi:10.1111/j.1600-0889.2006.00202.x.
28. Lion, K. N. (2002), An Introduction to Atmospheric Radiation, 583 pp., Elsevier, New York.
29. Lloyd, J., et al. (2001), Vertical profiles, boundary layer budgets, and regional flux estimates for CO2 and its 13C/12C ratio and for water vapor above a forest /bog mosaic in central Siberia, Glob. Biogeochem. Cycles, 15(2), 267-284.
30. Michalakes, J., S. Chen, J. Dudhia, L. Hart, J. Klemp, J. Middlecoff, and W. Skamarock (2001), Development of a next generation regional weather research and forecast model, in Developments in Teracomputing: Proceedings of the Ninth ECMWF Workshop on the Use of High Performance Computing in Meteorology, edited by W. Zwieflhofer and N. Kreitz, pp. 269-276, World Scientific, Hackensack, N. J.
31. Obukhov, A. M. (1959), Description of turbulence in terms of Lagrangian variables, Adv. Geophys., 6, 113-116.
32. Palmer, T., C. Brankovic, R. Buizza, P. Chessa, L. Ferranti, B. Hoskins, and A. Simmons (2000), A Review of Predictability and ECMWF Forecast Performance, with emphasis on Europe, European Centre for Medium-Range Weather Forecasts, Reading, UK.
33. Parlange, M. B., W. E. Eichinger, and J. D. Albertson (1995), Regional scale evaporation and the atmospheric boundary layer, Rev. Geophys., 33(1), 99-124.
34. Parrish, D. F., J. C. Derber, R. J. Purser, W. S. Wu, and Z. X. Pu (1997), The NCEP global analysis system: Recent improvements and future plans, J. Meteorol. Soc. Jpn., 75(1B), 359-365.
35. Parrish, D. D., M. Trainer, D. Hereid, E. J. Williams, K. J. Olszyna, R. A. Harley, J. F. Meagher, and F. C. Felisenfeld (2002), Decadal change in carbon monoxide to nitrogen oxide ratio in U.S. vehicular emissions, J. Geophys. Res., 107(D12), 4140, doi:10.1029/2001JD000720.
36. Peixoto, J. P., and A. H. Oort (1992), Physics of Climate, 520 pp., American Institute of Physics, New York.
37. R Development Core Team (2004), A Language and Environment for Statistical Computing (www.r-project.org), R Foundation for Statistical Computing, Vienna, Austria.
38. Rabier, E., H. Jarvinen, E. Klinker, J. F. Mahfouf, and A. Simmons (2000), The ECMWF operational implementation of four-dimensional variational assimilation: I. Experimental results with simplified physics, Q. J. R. Meteorol. Soc., 126(564), 1143-1170.
39. Rodean, H. C. (1996), Stochastic Lagrangian Models of Turbulent Diffusion, 84 pp., Am. Meteorol. Soc., Boston, Mass.
40. Rolph, G. D. (2003), Real-time Environmental Applications and Display system (READY) (http://www.arl.noaa.gov/ready/hysplit4.html), NOAA Air Resources Laboratory, Silver Spring, Md.
41. Schmitgen, S., H. Geib, P. Ciais, B. Neininger, Y. Brunet, M. Reichstein, D. Kley, and A. Volz-Thomas (2004), Carbon dioxide uptake of a forested region in southwest France derived from airborne CO2 and CO measurements in a quasi-Lagrangian experiment, J. Geophys. Res., 109(D14), D14302, doi:10.1029/2003JD004335.
42. Schwartz, B. E., and M. Govett (1992), A hydrostatically Consistent North American Radiosonde Data Base at the Forecast Systems Laboratory, 1946 - Present, NOAA Technical Memorandum ERL FSL-4, NOAA FSL, Boulder, Colo.
43. Smith, F. B. (1968), Conditioned particle motion in a homogeneous turbulent field, Atmos. Environ., 2, 491-508.
44. Stohl, A. (1998), Computation, accuracy and applications of trajectories - A review and bibliography, Atmos. Environ., 32(6), 947-966.
45. Stohl, A., et al. (2003), A backward modeling study of intercontinental pollution transport using aircraft measurements, J. Geophys. Res., 108(D12), 4370, doi:10.1029/2002JD002862.
46. Stohl, A., O. R. Cooper, R. Damoah, F. C. Felisenfeld, C. Forster, E. Y. Hsie, G. Hubler, D. D. Parrish, and M. Trainer (2004), Forecasting for a Lagrangian aircraft campaign, Atmos. Chem. Phys., 4, 1113-1124.
47. Stokes, G. M., and S. E. Schwartz (1994), The Atmospheric Radiation Measurement (ARM) program - Programmatic background and design of the cloud and radiation test bed, Bull. Am. Meteorol. Soc., 75(7), 1201-1221.
48. Straume, A. G., E. N. D. Koffl, and K. Nodop (1998), Dispersion modeling using ensemble forecasts compared to ETEX measurements, J. Appl. Meteorol., 37, 1444-1456.
49. Stull, R. B. (1988), An Introduction to Boundary Layer Meteorology, 666 pp., Springer, New York.
50. Thompson, A. M., K. E. Pickering, R. R. Dickerson, W. G. Ellis, D. J. Jacob, J. R. Scala, W. K. Tao, D. P. McNamara, and J. Simpson (1994), Convective-transport over the central United States and its role in regional CO and ozone budgets, J. Geophys. Res., 99(D9), 18,703-18,711.
51. Uliasz, M., and R. A. Pielke (1990), Receptor-oriented Lagrangian-Eulerian model of mesoscale air pollution dispersion, in Computer Techniques in Environmental Studies, edited by P. Zannetti, pp. 57-68, Comput. Mech., Billerica, Mass.
52. Wofsy, S. C., and R. C. Harriss (2002), The North American Carbon Program (NACP), NACP Committee of the U.S. Interagency Carbon Cycle Science Program, U.S. Global Change Research Program, Washington, D. C.
53. Wofsy, S. C., M. L. Goulden, J. W. Munger, S.-M. Fan, P. S. Bakwin, B. C. Daube, S. L. Bassow, and F. A. Bazzaz (1993), Net exchange of CO2 in a mid-latitude forest, Science, 260, 1314-1317.