Publications on Land Surface Models

W. Knorr, T. Kaminski, M. Scholze, N. Gobron, B. Pinty, R. Giering, and P.-P. Mathieu. Carbon cycle data assimilation with a generic phenology model. J. Geophys. Res., doi:10.1029/2009JG001119, 2010.
[ .pdf ]

The paper demonstrates the simultaneous assimilation of FAPAR data from the MERIS sensor at a number of sites. It is the first application that includes hydrology and phenology models in the core of CCDAS rather than running them in a pre step

W. Knorr, T. Kaminski, M. Scholze, N. Gobron, B. Pinty, R. Giering, and P.-P. Mathieu. Carbon cycle data assimilation using satellite-derived fapar and a new generic global phenology scheme. Geophysical Research Abstracts, 12, 2010.
[ .ppt/.pdf | .pdf ]

T. Kaminski, W. Knorr, M. Scholze, N. Gobron, B. Pinty, R. Giering, and P.-P. Mathieu. Assimilation of MERIS FAPAR into a Terrestrial Vegetation Model and Mission Design. In Proceedings of 2010 European Space Agency Living Planet Symposium, Bergen, Norway. European Space Agency, 2010.
[ .pdf ]

The contribution demonstrates the first simultaneous assimilation of FAPAR data and atmospheric CO₂ in a coarse resolution global CCDAS setup.

T. Kaminski, M. Scholze, and S. Houweling. Quantifying the Benefit of A-SCOPE Data for Reducing Uncertainties in Terrestrial Carbon Fluxes in CCDAS. Tellus B, doi:10.1111/j.1600-0889.2010.00483.x, 2010.
[ .pdf ]

M. Clerici, M. Voßbeck, B. Pinty, T. Kaminski, M. Taberner, T. Lavergne, and I. Andredakis. Consolidating the Two-stream Inversion Package (JRC-TIP). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010.
[ http ]

M. Voßbeck, M. Clerici, T. Kaminski, B. Pinty, T. Lavergne, and R. Giering. An inverse radiative transfer model of the vegetation canopy based on automatic differentiation. Inverse Problems, 26, 2010.
[ .pdf ]

W. Knorr, T. Kaminski, M. Scholze, N. Gobron, B. Pinty, R. Giering, and P.-P. Mathieu. Local-scale Carbon Cycle Data Assimilation using satellite-derived FAPAR with a generic phenology model. In Proceedings of 8th Carbon dioxide conference at Jena, 2009.
[ .ppt/.pdf | .pdf ]

M. Scholze, T. Kaminski, P. Rayner, W. Knorr, and R. Giering. Projecting terrestrial carbon cycling with uncertainties: Results from a Carbon Cycle Data Assimilation System (CCDAS). In Proceedings of 8th Carbon dioxide conference at Jena, 2009.
[ .pdf ]

T. Kaminski, P. Rayner, M. Scholze, M. Voßbeck, E. Koffi, R. Giering, and S. Houweling. Supporting the improvement of the carbon observing system by quantitative network design. In Proceedings of 8th Carbon dioxide conference at Jena, 2009.
[ .ppt/.pdf | .pdf ]

The paper presents the first application of the network designer plus the evaluation of a space mission

E. Koffi, P. Rayner, M. Scholze, T. Kaminski, F. Chevallier, C. Roedenbeck, M. Voßbeck, R. Giering, W. Knorr, and M. Heimann. Sensitivity of Climate Data Assimilation System to Transport models and Observational networks. In Proceedings of 8th Carbon dioxide conference at Jena, 2009.
[ .pdf ]

T. Ziehn, M. Scholze, and W. Knorr. Regionalization of the key carbon storage parameter within the Carbon Cycle Data Assimilation System (CCDAS). In Proceedings of 8th Carbon dioxide conference at Jena, 2009.
[ .ppt/.pdf | .pdf ]

T. Kato, M. Scholze, and W. Knorr. The impact of CO2 fertilization on the global terrestrial carbon cycle and interannual changes in CO2 studied through a carbon cycle data assimilation system. In Proceedings of 8th Carbon dioxide conference at Jena, 2009.
[ .ppt/.pdf | .pdf ]

B. Pinty, M. Clerici, I. Andredakis, M. Voßbeck, T. Lavergne, T. Kaminski, M. Taberner, and N. Gobron. Retrieving Essential Climate Variables over Land from Operational Surface Albedo Products. Extended Abstract for the 33rd International Symposium on Remote Sensing of Environment, Stresa, Italy, May 4-8, 2009.
[ .pdf ]

E. Koffi, P. Rayner, M. Scholze, T. Kaminski, C. Roedenbeck, M. Voßbeck, R. Giering, W. Knorr, and M. Heimann. Climate data assimilation using inverse modelling: Application to the carbon cycle. Geophysical Research Abstracts, 11, 2009.
[ .ppt/.pdf | .pdf ]

W. Knorr, T. Kaminski, M. Scholze, N. Gobron, B. Pinty, and R. Giering. Remote Sensing Input for regional to global CO2 flux modelling. In Proceedings of 2nd MERIS/(A)ATSR User Workshop, Frascati, Italy. European Space Agency, 2008.
[ .pdf ]

The paper demonstrates the assimilation of FAPAR data from the MERIS sensor at a number of sites. It is the first application that includes hydrology and phenology models in the core of CCDAS rather than running them in a pre step

B. Pinty, T. Lavergne, T. Kaminski, N. Gobron, and M. Taberner. Validation of the MERIS FAPAR L2 Products against Independent Estimates Derived from the MODIS and MISR Surface Albedo Operational products. In Proceedings of 2nd MERIS/(A)ATSR User Workshop, Frascati, Italy. European Space Agency, 2008.
[ .pdf ]

T. Kaminski and P. J. Rayner. Assimilation and network design. In H. Dolman, A. Freibauer, and R. Valentini, editors, Observing the continental scale Greenhouse Gas Balance of Europe, Ecological Studies, chapter 3, pages 33-52. Springer-Verlag, New York, 2008.
[ http | .pdf ]

Overview paper on quantitative network design for the carbon cycle

B. Pinty, T. Lavergne, T. Kaminski, O. Aussedat, R. Giering, N. Gobron, M. Taberner, M. M. Verstraete, M. Voßbeck, and J.-L. Widlowski. Partitioning the solar radiant fluxes in forest canopies in the presence of snow. J. Geophys. Res., 113, 2008.
[ .pdf ]

The paper describes another application of the JRC-TIP inverse modeling package for estimation of parameters of a radiative transfer model together with their uncertainty ranges. The required adjoint and Hessian code have been generated by TAC++.

E. Koffi, P. Rayner, T. Kaminski, M. Scholze, M. Voßbeck, and R. Giering. Quantitative network design for biosphere model process parameters. Geophysical Research Abstracts, 10, 2008.
[ .ppt/.pdf | .pdf ]

A. Hooker-Stroud. Anthropogenic CO₂: Seasonal Fossil Fuel Emissions in CCDAS. Master's thesis, University of Bristol, UK, 2008.
[ .pdf ]

D. Kelley. Wildfires as part of the global carbon cycle: quantitative analysis using data assimilation. Master's thesis, University of Bristol, UK, 2008.
[ .pdf ]

M. Scholze, T. Kaminski, P. Rayner, W. Knorr, and R. Giering. Propagating uncertainty through prognostic CCDAS simulations. J. Geophys. Res., 112:doi:10.1029/2007JD008642, 2007.
[ .pdf ]

B. Pinty, T. Lavergne, M. Voßbeck, T. Kaminski, O. Aussedat, R. Giering, N. Gobron, M. Taberner, M. M. Verstraete, and J.-L. Widlowski. Retrieving surface parameters for climate models from MODIS-MISR albedo products. J. Geophys. Res., 112, 2007.
[ .pdf ]

The paper describes and applies an inverse modeling package for estimation of parameters of a radiative transfer model together with their uncertainty ranges. The required adjoint and Hessian code have been generated by TAC++.

T. Lavergne, T. Kaminski, B. Pinty, M. Taberner, N. Gobron, M. M. Verstraete, M. Voßbeck, J.-L. Widlowski, and R. Giering. Application to MISR Land Products of an RPV Model Inversion Package using Adjoint and Hessian Codes. Remote Sensing of the Environment, (107):362-375, 2006.
[ .pdf ]

The paper describes and applies an inverse modeling package for estimation of parameters of a radiative transfer model and their uncertainty ranges. The required gradient and Hessian code have been generated by TAF.

Thomas Lavergne, Michael Voßbeck, Bernard Pinty, Thomas Kaminski, and Ralf Giering. Evaluation of the two-stream inversion package. EUR 22467 EN, European Commission - DG Joint Research Centre, Institute for Environment and Sustainability, 2006.
[ .pdf ]

P. Rayner, M. Scholze, W. Knorr, T. Kaminski, R. Giering, and H. Widmann. Two decades of terrestrial Carbon fluxes from a Carbon Cycle Data Assimilation System (CCDAS). Global Biogeochemical Cycles, 19:doi:10.1029/2004GB002254, 2005.
[ http | .pdf ]

W. Knorr, N. Gobron, M. Scholze, P. Rayner, T. Kaminski, R. Giering, H. Widmann, and J. Kattge. Carbon and fAPAR assimilation within CCDAS. In P. Viterbo, editor, Proceedings of ECMWF/ELDAS Workshop on Land Surface Assimilation, 8-11 November 2004, pages 213-219. European Centre for Medium-Range Weather Forecasts, 2005.
[ http | .pdf ]

Pablo J. Grunmann. Variational Data Assimilation of Soil Moisture Information. PhD thesis, University of Maryland, College Park, 2005.
[ .pdf ]

B. Pak. Parameter optimization using the adjoint of a biosphere model. Abstract A11F-02. Eos Trans. AGU, 85(47), December 2004.
[ .txt ]

Wolfgang Knorr and Peter Cox. CAMELS-Carbon Assimilation and Modelling of the European Land Surface. In Peter Bergamaschi, Hartmut Behrend, and Andre Jol, editors, Inverse modelling of national and EU greenhouse gas emission inventories, pages 66-69, 2004.
[ .html ]

The paper describes the contribution of CCDAS to the EU FP5 project CAMELS

M. Scholze, P. Rayner, W. Knorr, T. Kaminski, R. Giering, and H. Widmann. Non-linear parameter optimisation of a terrestrial biosphere model using atm. CO2 observations: CCDAS. Geophysical Research Abstracts, 6:06281, 2004.
[ .ppt/.pdf | .pdf ]

M. Scholze, P. Rayner, W. Knorr, T. Kaminski, R. Giering, and H. Widmann. A global carbon cycle data assimilation system (CCDAS) to infer atmosphere-biosphere CO2 exchanges. Geophysical Research Abstracts, 6:07504, 2004.
[ .pdf ]

T. Kaminski, R. Giering, M. Scholze, P. Rayner, and W. Knorr. A prototype of a data assimilation system based on automatic differentiation. Geophysical Research Abstracts, 5:11812, 2003.
[ .ppt/.pdf | .pdf ]

T. Kaminski, R. Giering, M. Scholze, P. Rayner, and W. Knorr. An example of an automatic differentiation-based modelling system. In V. Kumar, L. Gavrilova, C. J. K. Tan, and P. L'Ecuyer, editors, Computational Science - ICCSA 2003, International Conference Montreal, Canada, May 2003, Proceedings, Part II, volume 2668 of Lecture Notes in Computer Science, pages 95-104, Berlin, 2003. Springer.
[ .ppt/.pdf | .pdf ]

The paper presents a prototype of a Carbon Cycle Data Assimilation System (CCDAS), which is composed of a terrestrial biosphere model (BETHY) coupled to an atmospheric transport model (TM2), corresponding derivative codes as well as a derivative-based optimisation routine. In calibration mode, we use first and second derivatives, to estimate model parameters and their uncertainties from atmospheric observations and their uncertainties. In prognostic mode, we use first derivatives, to map model parameters and their uncertainties onto prognostic quantities and their uncertainties.

M. Scholze. Model studies on the response of the terrestrial carbon cycle on climate change and variability. Examensarbeit, Max-Planck-Institut für Meteorologie, Hamburg, Germany, 2003.
[ .html | .pdf ]

D.J. Seo, V. Koren, and N. Cajina. Real-time variational assimilation of hydrologic and hydrometeorological data into operational hydrologic forecasting. J. Hydrometeorol., 4(3):627-641, 2003.
[ http ]

D.J. Seo, V. Koren, and N. Cajina. Real-time assimilation of radar-based precipitation data and streamflow observations into a distributed hydrologic model. In Yasuto Tachikawa, Baxter E. Vieux, Konstantine P. Georgakakos, and Eiichi Nakakita, editors, Weather Radar Information and Distributed Hydrological Modelling, Proceedings of Symposium HS03 held during IUGG2003 at Sapporo, July 2003, number 282 in IAHS Publ., pages 138-142, 2003.
[ http ]

D.J. Seo, V. Koren, and S. Reed. Improving a priori estimates of hydraulic parameters in a distributed routing model via variational assimilation of long-term streamflow data. In Yasuto Tachikawa, Baxter E. Vieux, Konstantine P. Georgakakos, and Eiichi Nakakita, editors, Weather Radar Information and Distributed Hydrological Modelling, Proceedings of Symposium HS03 held during IUGG2003 at Sapporo, July 2003, number 282 in IAHS Publ., pages 109-113, 2003.
[ http ]

M. Scholze, P. Rayner, W. Knorr, T. Kaminski, and R. Giering. A prototype Carbon Cycle Data Assimilation System (CCDAS): Inferring interannual variations of vegetation-atmosphere CO2 fluxes. Abstract CG62A-05. Eos Trans. AGU, 83(47), December 2002.
[ .ppt/.pdf | http ]

T. Kaminski, W. Knorr, P. Rayner, and M. Heimann. Assimilating atmospheric data into a terrestrial biosphere model: A case study of the seasonal cycle. Global Biogeochemical Cycles, 16(4):14-1-14-16, 2002.
[ http | .ps.gz | .pdf ]

P. Rayner, W. Knorr, M. Scholze, R. Giering, T. Kaminski, M. Heimann, and C. Le Quere. Inferring terrestrial biosphere carbon fluxes from combined inversions of atmospheric transport and process-based terrestrial ecosystem models. In Proceedings of 6th Carbon dioxide conference at Sendai, pages 1015-1017, 2001.
[ .pdf ]

This is the first document featuring the implementation of a carbon cycle data assimilation and prediction scheme, which is based on the terrestrial biosphere model BETHY