greenhouse gases, climate change, measurement network, atmospheric transport modeling, biosphere-atmosphere exchange, inverse modeling, carbon dioxide, methane
Davin Edouard L., Seneviratne Sonia I. (2012), Role of land surface processes and diffuse/direct radiation partitioning in simulating the European climate, in Biogeosciences
, 9, 1695-1707.
Brunner Dominik, Henne Stephan, Keller Christoph A., Reimann Stefan, Vollmer Martin, O'Doherty Simon, Maione Michela (2012), An extended Kalman-filter for regional scale inverse emission estimation, in Atmos. Chem. Phys.
, 12, 3455-3478.
Guillod BP, Davin EL, Kundig C, Smiatek G, Seneviratne SI (2013), Impact of soil map specifications for European climate simulations, in CLIMATE DYNAMICS
, 40(1-2), 123-141.
Bowman Kenneth P., Lin John C., Stohl Andreas, Draxler Roland, Konopka Paul, Andrews Arlyn, Brunner Dominik (2013), Input Data Requirements Lagrangian Trajectory Models, in BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
, 94(7), 1051-1058.
Imer D., Merbold L., Eugster W., Buchmann N. (2013), Temporal and spatial variations of soil CO2, CH4 and N2O fluxes at three differently managed grasslands, in BIOGEOSCIENCES
, 10(9), 5931-5945.
Lorenz Ruth, Davin Edouard L., Lawrence David M., Stoeckli Reto, Seneviratne Sonia I. (2013), How Important is Vegetation Phenology for European Climate and Heat Waves?, in JOURNAL OF CLIMATE
, 26(24), 10077-10100.
Steinkamp K., Gruber N. (2013), A joint atmosphere-ocean inversion for the estimation of seasonal carbon sources and sinks, in GLOBAL BIOGEOCHEMICAL CYCLES
, 27(3), 732-745.
Merbold Lutz, Eugster Werner, Stieger Jacqueline, Zahniser Mark, Nelson David, Buchmann Nina (2014), Greenhouse gas budget (CO2, CH4 and N2O) of intensively managed grassland following restoration, in GLOBAL CHANGE BIOLOGY
, 20(6), 1913-1928.
Hiller R. V., Bretscher D., DelSontro T., Diem T., Eugster W., Henneberger R., Hobi S., Hodson E., Imer D., Kreuzer M., Kuenzle T., Merbold L., Niklaus P. A., Rihm B., Schellenberger A., Schroth M. H., Schubert C. J., Siegrist H., Stieger J., Buchmann N., Brunner D. (2014), Anthropogenic and natural methane fluxes in Switzerland synthesized within a spatially explicit inventory, in BIOGEOSCIENCES
, 11(7), 1941-1959.
Hiller Rebecca V., Neininger Bruno, Brunner Dominik, Gerbig Christoph, Bretscher Daniel, Kuenzle Thomas, Buchmann Nina, Eugster Werner (2014), Aircraft-based CH4 flux estimates for validation of emissions from an agriculturally dominated area in Switzerland, in JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
, 119(8), 4874-4887.
Bamberger I., Stieger J., Buchmann N., Eugster W. (2014), Spatial variability of methane: Attributing atmospheric concentrations to emissions, in Environmental Pollution
, 190, 65-74.
Bamberger I., Hoertnagl L., Walser M., Hansel A., Wohlfahrt G. (2014), Gap-filling strategies for annual VOC flux data sets, in BIOGEOSCIENCES
, 11(8), 2429-2442.
Zielis S., Etzold S., Zweifel R., Eugster W., Haeni M., Buchmann N. (2014), NEP of a Swiss subalpine forest is significantly driven not only by current but also by previous year's weather, in BIOGEOSCIENCES
, 11(6), 1627-1635.
Davin Edouard L., Seneviratne Sonia I., Ciais Philippe, Olioso Albert, Wang Tao (2014), Preferential cooling of hot extremes from cropland albedo management, in PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
, 111(27), 9757-9761.
Seneviratne Sonia I, Donat Markus G., Mueller Brigitte, Alexander Lisa V. (2014), No pause in the increase of hot temperature extremes (vol 4, pg 161, 2014), in NATURE CLIMATE CHANGE
, 4(5), 320-320.
Leuenberger M. C., Schibig M. F., Nyfeler P. (2015), Gas adsorption and desorption effects on cylinders and their importance for long-term gas records, in ATMOSPHERIC MEASUREMENT TECHNIQUES
, 8(12), 5289-5299.
Oney B., Henne S., Gruber N., Leuenberger M., Bamberger I., Eugster W., Brunner D. (2015), The CarboCount CH sites: characterization of a dense greenhouse gas observation network, in ATMOSPHERIC CHEMISTRY AND PHYSICS
, 15(19), 11147-11164.
Stieger J., Bamberger I., Buchmann N., Eugster W. (2015), Validation of farm-scale methane emissions using nocturnal boundary layer budgets, in ATMOSPHERIC CHEMISTRY AND PHYSICS
, 15(24), 14055-14069.
Wohlfahrt G., Amelynck C., Ammann C., Arneth A., Bamberger I., Goldstein A. H., Gu L., Guenther A., Hansel A., Heinesch B., Holst T., Hoertnagl L., Karl T., Laffineur Q., Neftel A., McKinney K., Munger J. W., Pallardy S. G., Schade G. W., Seco R., Schoon N. (2015), An ecosystem-scale perspective of the net land methanol flux: synthesis of micrometeorological flux measurements, in ATMOSPHERIC CHEMISTRY AND PHYSICS
, 15(13), 7413-7427.
Henne Stephan, Brunner Dominik, Oney Brian, Leuenberger Markus, Eugster Werner, Bamberger Ines, Meinhardt Frank, Steinbacher Martin, Emmenegger Lukas (2016), Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling, in Atmospheric Chemistry and Physics
, 16(6), 3683-3710.
Satar Ece, Berhanu Tesfaye A., Brunner Dominik, Henne Stephan, Leuenberger Markus (2016), Continuous CO2 /CH4 /CO measurements (2012–2014) at Beromünster tall tower station in Switzerland, in Biogeosciences
, 13(9), 2623-2635.
Berhanu Tesfaye Ayalneh, Satar Ece, Schanda Rudiger, Nyfeler Peter, Moret Hanspeter, Brunner Dominik, Oney Brian, Leuenberger Markus (2016), Measurements of greenhouse gases at Beromünster tall-tower station in Switzerland, in Atmospheric Measurement Techniques
, 9(6), 2603-2614.
Mystakidis S., Davin E. L., Gruber N., Seneviratne S. I. (accepted), Constraining future terrestrial carbon cycle projections using observation-based water and carbon flux estimates, in Global Change Biology
, 2016, 1-50.
CarboCount CH aims to develop a prototype modelling and observing system for CO2 and CH4 at the regional scale with the objective to quantify and understand CO2 and CH4 fluxes and their sensitivity to recent and current climate variability. The system will provide real time flux estimates allowing to verify their compliance with national regulations and international treaties independently and to provide support for policy makers in the context of climate change. Our approach is to integrate so-called “top-down” methods based on atmospheric measurements and models with “bottom-up” methods based on local (e.g. flux) measurements, process-based models of natural fluxes, and statistical information on anthropogenic emissions. We will focus on central Europe and especially central Switzerland where (i) there exists a strong basis for building a CO2/CH4 measurement network, (ii) rich and detailed data sets are available to provide input and independent verification, and (iii) the heterogeneity of the region provides the challenge needed to test such a system.
Our integrated project stands methodologically on three pillars: First, the development of an integrated atmospheric CO2/CH4 measurement network in central Switzerland, consisting of existing flux and concentration measurement sites that will be partially augmented, and four new representative sites on hill tops and towers all equipped with continuous instruments measuring (at least) CO2, CH4, and water vapor. Second, the establishment of high resolution bottom-up driven data products based on process-based ecosystem modeling, direct flux measurements, forest inventories, and geostatistical data of anthropogenic CO2 and CH4 emissions. Third, the development and application of high-resolution regional to local models of atmospheric transport and atmosphere-biosphere exchange of CO2 and CH4, used in forward and inverse (data assimilation) modes.
CarboCount CH will study the 1992-2012 period, with a focus on the later years when all observations are in place. Particular questions that will be addressed are: What was the impact of the 2003 heat wave/drought and other drought episodes on the carbon balance in central Europe/Switzerland? How well do we understand atmosphere-biosphere exchange of different vegetation types and their diurnal, seasonal and interannual variability? What are the limitations for the modeling of these fluxes including the limitations imposed by our observation network? How well do bottom-up and top-down estimates agree? What are the main restrictions and uncertainties of the top-down approach to constrain the fluxes?