Marko Scholze

发表

Simultaneous Assimilation of Remotely Sensed Soil Moisture and FAPAR for Improving Terrestrial Carbon Fluxes at Multiple Sites Using CCDAS

Georg Hoffmann, Thomas Kaminski, Michael Voßbeck, 2018, Remote. Sens..

An interactive tool to analyse the benefit of space missions sensing the terrestrial vegetation

Nadine Gobron, Bernard Pinty, Thomas Kaminski, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Computational Science and Its Applications, ICCSA 2003: International Conference, Montreal, Canada, May 18-21, 2003, Proceedings: v. 2668, Pt. II (Lecture Notes in Computer Science)

Marko Scholze, Wolfgang Knorr, T Kaminski, 2003 .

A Comparison of Spectral Angle Mapper and Artificial Neural Network Classifiers Combined with Landsat TM Imagery Analysis for Obtaining Burnt Area Mapping

George P. Petropoulos, Gavriil Xanthopoulos, Marko Scholze, 2010, Sensors.

Consistent assimilation of multiple data streams in a carbon cycle data assimilation system

Natasha MacBean, Marko Scholze, Philippe Peylin, 2016 .

An Example of an Automatic Differentiation-Based Modelling System

Thomas Kaminski, Ralf Giering, Marko Scholze, 2003, ICCSA.

A prototype of a data assimilation system based on automatic differentiation

Thomas Kaminski, Ralf Giering, Marko Scholze, 2003 .

Limiting the parameter space in the Carbon Cycle Data Assimilation System (CCDAS)

Thomas Kaminski, T. Ziehn, Marko Scholze, 2013 .

MERLIN: A French-German Space Lidar Mission Dedicated to Atmospheric Methane

Martin Wirth, James B. Abshire, Catherine Prigent, 2017, Remote. Sens..

Working towards a global-scale vegetation water product from SMOS optical depth

Yann Kerr, Jean-Pierre Wigneron, Mathew Williams, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies

Peter Bergamaschi, Dominik Brunner, Sander Houweling, 2021 .

Regional CO2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0

Marko Scholze, Guillaume Monteil, 2021, Geoscientific Model Development.

Observing the continental-scale carbon balance: assessment of sampling complementarity and redundancy in a terrestrial assimilation system by means of quantitative network design

Thomas Kaminski, Michael Voßbeck, Marko Scholze, 2012 .

The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets

Hartmut Boesch, David Crisp, Tatsuya Yokota, 2013 .

Investigating spatial differentiation of model parameters in a carbon cycle data assimilation system

Marko Scholze, Wolfgang Knorr, T. Ziehn, 2011 .

Propagating uncertainty through prognostic carbon cycle data assimilation system simulations

Thomas Kaminski, Ralf Giering, Marko Scholze, 2007 .

Quantifying the constraint of biospheric process parameters by CO 2 concentration and flux measurement networks through a carbon cycle data assimilation system

Thomas Kaminski, Marko Scholze, E. N. Koffi, 2012 .

Simultaneous assimilation of SMOS soil moisture and atmospheric CO2 in-situ observations to constrain the global terrestrial carbon cycle

Klaus Scipal, Thomas Kaminski, M. Vossbeck, 2016 .

Reviews and syntheses: Systematic Earth observations for use in terrestrial carbon cycle data assimilation systems

Shaun Quegan, Luis Guanter, Wouter Dorigo, 2017 .

The greenhouse gas project of Esa's climate change initiative (GHG-CCI) : Overview, achievements and future plans

Hartmut Boesch, Peter Bergamaschi, Dominik Brunner, 2015, ATMOS 2015.

Assimilating solar-induced chlorophyll fluorescence into the terrestrial biosphere model BETHY-SCOPE v1.0: Model description and information content

Marko Scholze, E. N. Koffi, Peter J. Rayner, 2017 .

On the capability of Monte Carlo and adjoint inversion techniques to derive posterior parameter uncertainties in terrestrial ecosystem models

Marko Scholze, Wolfgang Knorr, W. Knorr, 2012 .

Quantifying the benefit of A-SCOPE data for reducing uncertainties in terrestrial carbon fluxes in CCDAS

Thomas Kaminski, Sander Houweling, Marko Scholze, 2010 .

Development of an ensemble-adjoint optimization approach to derive uncertainties in net carbon fluxes

Marko Scholze, Wolfgang Knorr, W. Knorr, 2011 .

Assimilation of NEE and CO2-concentrations into the land-surface scheme of the MPI Earth System Model

Nuno Carvalhais, Markus Reichstein, Dario Papale, 2013 .

An operational anthropogenic CO2 emissions monitoring and verification support capacity. Baseline requirements, model components and functional architecture

Bernard Pinty, Philippe Ciais, Dick Dee, 2017 .

Modeling terrestrial 13C cycling: Climate, land use and fire

Philippe Ciais, Marko Scholze, Martin Heimann, 2008 .

Testing the use of adjoints for parameter estimation in a simple GCM on climate time-scales

Thomas Kaminski, M. Vossbeck, Ralf Giering, 2007 .

A global sensitivity analysis study of the 1d SimSphere SVAT model using the GEM SA software

George P. Petropoulos, Marc C. Kennedy, Martin J. Wooster, 2009 .