References

ACP

Atmospheric Chemistry and Physics

ACP

1680-7324

Copernicus GmbH

Göttingen, Germany

10.5194/acp-11-7445-2011

High-resolution simulations of atmospheric CO2 over complex terrain – representing the Ochsenkopf mountain tall tower

Pillai

¹ Gerbig

¹ Ahmadov

² ⁵ Rödenbeck

¹ Kretschmer

¹ Koch

¹ Thompson

¹ ³ Neininger

⁴ Lavrié

J. V.

Max Planck Institute of Biogeochemistry, Jena, Germany

NOAA Earth System Research Laboratory, Boulder, Colorado, USA

Laboratoire des Sciences du Climat et l'Environnement (LSCE), UMR8212, Gif-sur-Yvette, France

MetAir AG, Flugplatz, 8915 Hausen am Albis, Switzerland

also at: Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, USA

01 08 2011

11 15 7445 7464

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Accurate simulation of the spatial and temporal variability of tracer mixing ratios over complex terrain is challenging, but essential in order to utilize measurements made in complex orography (e.g. mountain and coastal sites) in an atmospheric inverse framework to better estimate regional fluxes of these trace gases. This study investigates the ability of high-resolution modeling tools to simulate meteorological and CO2 fields around Ochsenkopf tall tower, situated in Fichtelgebirge mountain range- Germany (1022 m a.s.l.; 50°1′48" N, 11°48′30" E). We used tower measurements made at different heights for different seasons together with the measurements from an aircraft campaign. Two tracer transport models – WRF (Eulerian based) and STILT (Lagrangian based), both with a 2 km horizontal resolution – are used together with the satellite-based biospheric model VPRM to simulate the distribution of atmospheric CO2 concentration over Ochsenkopf. The results suggest that the high-resolution models can capture diurnal, seasonal and synoptic variability of observed mixing ratios much better than coarse global models. The effects of mesoscale transports such as mountain-valley circulations and mountain-wave activities on atmospheric CO2 distributions are reproduced remarkably well in the high-resolution models. With this study, we emphasize the potential of using high-resolution models in the context of inverse modeling frameworks to utilize measurements provided from mountain or complex terrain sites.

References 1

Ahmadov, R., Gerbig, C., Kretschmer, R., Koerner, S., Neininger, B., Dolman, A. J., and Sarrat, C.: Mesoscale covariance of transport and CO2 fluxes: Evidence from observations and simulations using the WRF-VPRM coupled atmosphere-biosphere model, J. Geophys. Res.-Atmos., 112, D22107, doi:22110.21029/22007JD008552, 2007.

Ahmadov, R., Gerbig, C., Kretschmer, R., K�rner, S., R�denbeck, C., Bousquet, P., and Ramonet, M.: Comparing high resolution WRF-VPRM simulations and two global CO2 transport models with coastal tower measurements of CO2, Biogeosciences, 6, 807–817, http://dx.doi.org/10.5194/bg-6-807-2009doi:10.5194/bg-6-807-2009, 2009.

Denning, A. S., Zhang, N., Yi, C. X., Branson, M., Davis, K., Kleist, J., and Bakwin, P.: Evaluation of modeled atmospheric boundary layer depth at the WLEF tower, Agr. Forest Meteorol., 148, 206–215, 2008.

Enting, I. G.: Inverse problems in atmospheric constituent studies: III. Estimating errors in surface sources, Inverse Probl., 9, 649–665, 1993.

Gangoiti, G., M. M. Millan., R. Salvador., and Mantilla., E.: Long-range transport and re-circulation of pollutants in the western Mediterranean during the project Regional Cycles of Air Pollution in the west-central Mediterranean area, Atmos. Environ., 35(36), 6267–6276, 2001.

Geels, C., Gloor, M., Ciais, P., Bousquet, P., Peylin, P., Vermeulen, A. T., Dargaville, R., Aalto, T., Brandt, J., Christensen, J. H., Frohn, L. M., Haszpra, L., Karstens, U., Rödenbeck, C., Ramonet, M., Carboni, G., and Santaguida, R.: Comparing atmospheric transport models for future regional inversions over Europe - Part 1: mapping the atmospheric CO2 signals, Atmos. Chem. Phys., 7, 3461–3479, http://dx.doi.org/10.5194/acp-7-3461-2007doi:10.5194/acp-7-3461-2007, 2007.

Gerbig, C., Körner, S., and Lin, J. C.: Vertical mixing in atmospheric tracer transport models: error characterization and propagation, Atmos. Chem. Phys., 8, 591–602, http://dx.doi.org/10.5194/acp-8-591-2008doi:10.5194/acp-8-591-2008, 2008.

Gerbig, C., Dolman, A. J., and Heimann, M.: On observational and modelling strategies targeted at regional carbon exchange over continents, Biogeosciences, 6, 1949–1959, http://dx.doi.org/10.5194/bg-6-1949-2009doi:10.5194/bg-6-1949-2009, 2009.

Gourdji, S. M., Mueller, K. L., Schaefer, K., and Michalak, A. M.: Global monthly averaged CO2 fluxes recovered using a geostatistical inverse modeling approach: 2. Results including auxiliary environmental data, J. Geophys.Res.-Atmos., 113, D21115, http://dx.doi.org/10.1029/2007JD009733doi:10.1029/2007JD009733, 2008.

Gurney, K. R., Law, R. M., Denning, A. S., Rayner, P. J., Baker, D., Bousquet, P., Bruhwiler, L., Chen, Y.-H., Ciais, P., Fan, S., Fung, I. Y., Gloor, M., Heimann, M., Higuchi, K., John, J., Maki, T., Maksyutov, S., Masarie, K., Peylin, P., Prather, M., Pak, B. C., Randerson, J., Sarmiento, J., Taguchi, S., Takahashi, T., and Yuen, C.-W.: Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models, Nature, 415, 626–630, 2002.

Heimann, M. and Koerner, S.: The global atmospheric tracer model TM3, Technical Reports, Max-Planck-Institute for Biogeochemie, 5, 131~p., 2003.

Jacobson, A. R., Mikaloff Fletcher, S. E., Gruber, N., Sarmiento, J. L., and Gloor, M.: A joint atmosphere-ocean inversion for surface fluxes of carbon dioxide: 1. Methods and global-scale fluxes, Global Biogeochem. Cy., 21, GB1019, doi:1010.1029/2005GB002556, 2007.

Lauvaux, T., Uliasz, M., Sarrat, C., Chevallier, F., Bousquet, P., Lac, C., Davis, K. J., Ciais, P., Denning, A. S., and Rayner, P. J.: Mesoscale inversion: first results from the CERES campaign with synthetic data, Atmos. Chem. Phys., 8, 3459–3471, http://dx.doi.org/10.5194/acp-8-3459-2008doi:10.5194/acp-8-3459-2008, 2008.

Le Treut, H., R. Somerville, U. Cubasch, Y. Ding, C. Mauritzen, A. Mokssit, Peterson, T., and Prather, M.: Historical Overview of Climate Change, in: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., Chen, Z., Marquis, M., Averyt, K. B., Tignor, M., and Miller, H. L., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2007.

Levin, I., Graul, R., and Trivett, N.: Long-term observations of atmospheric CO2 and carbon isotopes at continental sites in Germany, Tellus B, 47, 23–34, 1995.

Lin, J. C., Gerbig, C., Wofsy, S. C., Andrews, A. E., Daube, B. C., Davis, K. J., and Grainger, C. A.: A near-field tool for simulating the upstream influence of atmospheric observations: The Stochastic Time-Inverted Lagrangian Transport (STILT) model, J. Geophys. Res.-Atmos., 108, 4493, doi:4410.1029/2002JD003161, 2003.

Lin, J. C., and Gerbig, C.: Accounting for the effect of transport errors on tracer inversions, Geophys. Res. Lett., 32, L01802, doi:01810.01029/02004GL021127, 2005.

Mahadevan, P., Wofsy, S. C., Matross, D. M., Xiao, X., Dunn, A. L., Lin, J. C., Gerbig, C., Munger, J. W., Chow, V. Y., and Gottlieb, E. W.: A satellite-based biosphere parameterization for net ecosystem CO2 exchange: Vegetation Photosynthesis and Respiration Model (VPRM), Global Biogeochem. Cy., 22, GB2005, doi:2010.1029/2006GB002735, 2008.

Masek, J. G. and Collatz, J.: Estimating forest carbon fluxes in a disturbed southeastern landscape: integration of remote sensing, forest inventory, and biogeochemical modeling, J. Geophys. Res., 111, G01006, http://dx.doi.org/10.1029/2005JG000062doi:10.1029/2005JG000062, 2006.

Matross, D. M., Andrews, A., Pathmathevan, M., Gerbig, C., Lin, J. C., Wofsy, S. C., Daube, B. C., Gottlieb, E. W., Chow, V. Y., Lee, J. T., Zhao, C. L., Bakwin, P. S., Munger, J. W., and Hollinger, D. Y.: Estimating regional carbon exchange in New England and Quebec by combining atmospheric, ground-based and satellite data, Tellus B, 58, 344–358, 2006.

Nehrkorn, T., Eluszkiewicz, J.,Wofsy, S. C., Lin, J. C., Gerbig, C., Longo, M., and Freitas, S.: Coupled weather research and forecasting–stochastic time-inverted lagrangian transport (WRF–STILT) model, Meteorol. Atmos. Phys., 107, 51–64, 2010.

Olivier, J. G. J., Bouwman, A. F., Berdowski, J. J. M., Veldt, C., Bloos, J. P. J., Visschedijk, A. J. H., and van der Maas, C. W. M.: Sectoral emission inventories of greenhouse gases for 1990 on a per country basis as well as on $1^\circ \times 1^\circ$, Environ. Sci. Policy, 2, 241–263, 1999.

Pérez-Landa, G., Ciais, P., Gangoiti, G., Palau, J. L., Carrara, A., Gioli, B., Miglietta, F., Schumacher, M., Millán, M. M., and Sanz, M. J.: Mesoscale circulations over complex terrain in the Valencia coastal region, Spain - Part 2: Modeling CO2 transport using idealized surface fluxes, Atmos. Chem. Phys., 7, 1851–1868, http://dx.doi.org/10.5194/acp-7-1851-2007doi:10.5194/acp-7-1851-2007, 2007.

Peters, W.: Seven years of recent European net terrestrial carbon dioxide exchange constrained by atmospheric observations, Glob. Change Biol., 16, 1317–1337, 2010.

Pillai, D., Gerbig, C., Marshall, J., Ahmadov, R., Kretschmer, R., Koch, T., and Karstens, U.: High resolution modeling of CO2 over Europe: implications for representation errors of satellite retrievals, Atmos. Chem. Phys., 10, 83–94, http://dx.doi.org/10.5194/acp-10-83-2010doi:10.5194/acp-10-83-2010, 2010.

Reiter, R., Sladkovic, R., and Kanter, H. J.: Concentration of trace gases in the lower troposphere, Part I: Carbon dioxide, Meteorol. Atmos. Phys., 35, 187–200, 1986.

Rödenbeck, C., Houweling, S., Gloor, M., and Heimann, M.: CO2 flux history 1982–2001 inferred from atmospheric data using a global inversion of atmospheric transport, Atmos. Chem. Phys., 3, 1919–1964, http://dx.doi.org/10.5194/acp-3-1919-2003doi:10.5194/acp-3-1919-2003, 2003.

Rödenbeck, C.: Estimating CO2 sources and sinks from atmospheric mixing ratio measurements using a global inversion of atmospheric transport. Technical Report 6, Max-Planck Institut für Biogeochemie, Jena, Germany, 53~pp., 2005.

Rödenbeck, C., Gerbig, C., Trusilova, K., and Heimann, M.: A two-step scheme for high-resolution regional atmospheric trace gas inversions based on independent models, Atmos. Chem. Phys., 9, 5331–5342, http://dx.doi.org/10.5194/acp-9-5331-2009doi:10.5194/acp-9-5331-2009, 2009.

Sarrat, C., Noilhan, J., Lacarrère, P., Donier, S., Lac, C., Calvet, J. C., Dolman, A. J., Gerbig, C., Neininger, B., Ciais, P., Paris, J. D., Boumard, F., Ramonet, M., and Butet, A.: Atmospheric CO2 modeling at the regional scale: Application to the CarboEurope regional experiment, J. Geophys. Res.-Atmos., 112, D12105, doi:12110.11029/12006JD008107, 2007.

Stull, R. B.: An Introduction to Boundary Layer Meteorology, Kluwer Academic Publishers, Dordrecht, 666~pp. Webb, E.K., Pearman, 1988.

Tans, P. P., Fung, I. Y., and Takahashi, T.: Observational constraints on the global atmospheric CO2 budget, Science, 247, 1431–1438, 1990.

Thompson, R. L., Manning, A. C., Gloor, E., Schultz, U., Seifert, T., Hänsel, F., Jordan, A., and Heimann, M.: In-situ measurements of oxygen, carbon monoxide and greenhouse gases from Ochsenkopf tall tower in Germany, Atmos. Meas. Tech., 2, 573–591, http://dx.doi.org/10.5194/amt-2-573-2009doi:10.5194/amt-2-573-2009, 2009.

Tolk, L. F., Meesters, A. G. C. A., Dolman, A. J., and Peters, W.: Modelling representation errors of atmospheric CO2 mixing ratios at a regional scale, Atmos. Chem. Phys., 8, 6587–6596, http://dx.doi.org/10.5194/acp-8-6587-2008doi:10.5194/acp-8-6587-2008, 2008.

van der Molen, M. K. and Dolman, A. J.: Regional carbon fluxes and the effect of topography on the variability of atmospheric CO2, J. Geophys. Res.-Atmos., 112, D01104, doi:01110.01029/02006JD007649, 2007.