T. Kaminski

发表

Retrieving surface parameters for climate models from Moderate Resolution Imaging Spectroradiometer (MODIS)-Multiangle Imaging Spectroradiometer (MISR) Albedo Products

R. Giering, N. Gobron, B. Pinty, 2007 .

An evaluation of SMOS L-band vegetation optical depth (L-VOD) data sets: high sensitivity of L-VOD to above-ground biomass in Africa

A. Al Bitar, Y. Kerr, T. L. Toan, 2018, Biogeosciences.

Impact of terrestrial biosphere carbon exchanges on the anomalous CO2 increase in 2002–2003

R. Schnur, N. Gobron, B. Pinty, 2007 .

Consistent assimilation of MERIS FAPAR and atmospheric CO2 into a terrestrial vegetation model and interactive mission benefit analysis

R. Giering, N. Gobron, B. Pinty, 2011 .

Carbon cycle data assimilation with a generic phenology model

R. Giering, N. Gobron, B. Pinty, 2010 .

Global-Scale Drought Caused Atmospheric CO2 Increase

N. Gobron, B. Pinty, T. Kaminski, 2005 .

Simultaneous assimilation of satellite and eddy covariance data for improving terrestrial water and carbon simulations at a semi-arid woodland site in Botswana

N. Gobron, T. Kaminski, W. Knorr, 2012 .

Application to MISR land products of an RPV model inversion package using adjoint and Hessian codes

R. Giering, N. Gobron, B. Pinty, 2007 .

Evaluation of the JRC-TIP 0.01° products over a mid-latitude deciduous forest site

Bernard Pinty, Thomas Lavergne, Thomas Kaminski, 2011 .

THE GREENHOUSE GAS PROJECT OF ESA’S CLIMATE CHANGE INITIATIVE (GHG-CCI): PHASE 2 ACHIEVEMENTS AND FUTURE PLANS

S. Houweling, O. Hasekamp, I. Aben, 2015 .

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.

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 .

Inverse modeling of methane sources and sinks using the adjoint of a global transport model

Thomas Kaminski, Sander Houweling, Jos Lelieveld, 1999 .

Impact of human population density on fire frequency at the global scale

A. Arneth, T. Kaminski, W. Knorr, 2013 .

Topological Design Based on Highly Efficient Adjoints Generated by Automatic Differentiation

R. Giering, T. Kaminski, C. Othmer, 2006 .

Efficient Sensitivities for the Spin-Up Phase

R. Giering, M. Voßbeck, T. Kaminski, 2006 .

Two decades of terrestrial carbon fluxes from a carbon cycle data assimilation system (CCDAS)

R. Giering, T. Kaminski, W. Knorr, 2005 .

Towards a tool for forward and reverse mode source to source transformation in C + +

R. Giering, M. Voßbeck, T. Kaminski, 2004 .

Inverse modelling approaches to infer surface trace gas fluxes from observed atmospheric mixing ratios

M. Heimann, T. Kaminski, 1999 .

Validation practices for satellite‐based Earth observation data across communities

X. Calbet, T. Verhoelst, J. Lambert, 2017 .

Consistent retrieval of land surface radiation products from EO, including traceable uncertainty estimates

N. Gobron, B. Pinty, M. Voßbeck, 2017 .

Computation of topological sensitivities in fluid dynamics: Cost function versatility

R. Giering, T. Kaminski, C. Othmer, 2006 .

Adjoint of the global Eulerian–Lagrangian coupled atmospheric transport model (A-GELCA v1.0): development and validation

Thomas Kaminski, Shamil Maksyutov, Alexander V. Starchenko, 2015 .

The high sensitivity of SMOS L-Band vegetation optical depth to biomass

A. Al Bitar, Y. Kerr, J. Wigneron, 2018 .

Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance

S. Hendricks, M. Voßbeck, T. Kaminski, 2017, The Cryosphere.

Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design

T. Kaminski, P. Rayner, 2017 .

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

Thomas Kaminski, Sander Houweling, Marko Scholze, 2010 .

Arctic Mission Benefit Analysis: impact of sea ice thickness, freeboard, and snow depth products on sea ice forecast performance

Frank Kauker, Thomas Kaminski, Michael Karcher, 2017, The Cryosphere.

Exploring the utility of quantitative network design in evaluating Arctic sea-ice thickness sampling strategies

Frank Kauker, Thomas Kaminski, Michael Karcher, 2015 .

Generating the tangent linear and adjoint models of the DAO finite volume GCM's dynamical core by means of TAF

R. Giering, R. Todling, T. Kaminski, 2003 .

Partial Upgrading of Athabasca Bitumen Using Thermal Cracking

T. Kaminski, M. Husein, 2019, Catalysts.

Data Assimilation of Sentinel-2 Observations: Preliminary Results from EO-LDAS and Outlook

N. Gobron, T. Kaminski, T. Quaife, 2012 .

Exploiting the MODIS albedos with the Two-stream Inversion Package (JRC-TIP): 1. Effective leaf area index, vegetation, and soil properties

Nadine Gobron, Bernard Pinty, Thomas Kaminski, 2011 .

Automatic Differentiation of FLOWer and MUGRIDO

R. Giering, T. Kaminski, N. Gauger, 2009 .

Title Polar Ocean Observations : A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season Permalink

B. Delille, J. Toole, M. Shupe, 2019 .

Thermal cracking of atmospheric residue versus vacuum residue

T. Kaminski, M. Husein, 2018, Fuel Processing Technology.

June 2010 Sea Ice Outlook - AWI/FastOpt/OASys contribution

Frank Kauker, Michael Karcher, Rüdiger Gerdes, 2010 .

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 benefits of investing into improved carbon flux monitoring

M. Heimann, S. Fuss, M. Tavoni, 2016 .

Assessing the Impact of Atmospheric CO2 and NO2 Measurements From Space on Estimating City-Scale Fossil Fuel CO2 Emissions in a Data Assimilation System

S. Houweling, M. Buchwitz, M. Reuter, 2022, Frontiers in Remote Sensing.

Assimilation of MERIS FAPAR into a Terrestrial Vegeitation Model and Mission Design

R. Giering, N. Gobron, B. Pinty, 2010 .

Iconic CO2 time series at risk.

D. F. Baker, Dylan B. A. Jones, J. Randerson, 2012, Science.

Assimilation of atmospheric CO2 observations from space can support national CO2 emission inventories

M. Buchwitz, M. Reuter, M. Voßbeck, 2021, Environmental Research Letters.

A Consistent View on the Terrestrial Carbon Cycle through Assimilation of Multiple Data Streams

R. Giering, S. Zaehle, S. Blessing, 2014 .

A Global Scale Inversion of the Transport of CO2 Based on a Matrix Representation of an Atmospheric Transport Model Derived by Its Adjoint

R. Giering, M. Heimann, T. Kaminski, 1998 .

Consistent EO Land Surface Products including Uncertainty Estimates

N. Gobron, B. Pinty, M. Voßbeck, 2016 .

Kinetic modelling of thermal cracking of Arabian atmospheric and vacuum residue

T. Kaminski, M. Husein, 2019, Fuel Processing Technology.

Biospheric process parameters in CCDAS

T. Kaminski, F. Chevallier, M. Scholze, 2012 .

The interaction between global warming and the thermohaline circulation

T. Kaminski, F. Kauker, P. Stone, 1997 .

{Climate Data Assimilation using inverse modelling: Application to the Carbon Cycle}

R. Giering, M. Heimann, M. Voßbeck, 2009 .

Prognosing terrestrial carbon cycling with uncertainties: Results from a Carbon Cycle Data Assimilation System (CCDAS)

R. Giering, T. Kaminski, W. Knorr, 2009 .

Exploiting Surface Albedo Products: Examples of Anticipated Downstream Applications from the GlobAlbedo Project

S. Plummer, B. Pinty, T. Kaminski, 2010 .

Classification of asphaltenes via fractionation and the effect of heteroatom content on dissolution kinetics

H. S. Fogler, T. Kaminski, N. O. Wolf, 2000 .

SENSITIVITY OF CLIMATE DATA ASSIMILATION TO TRANSPORT MODELS AND OBSERVATIONAL NETWORKS

M. Voßbeck, T. Kaminski, F. Chevallier, 2009 .

Paving the Road to Flex and Biomass: The Land Surface Carbon Constellation Study

Y. Kerr, W. Dorigo, M. Voßbeck, 2022, IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.

Hydrocracking of Athabasca Vacuum Residue Using Ni-Mo-Supported Drill Cuttings

T. Kaminski, M. Husein, Qiang Sheng, 2019, Catalysts.

Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits

W. Oechel, K. Klumpp, P. Reich, 2016, Ecology and evolution.

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

Nuno Carvalhais, Markus Reichstein, Dario Papale, 2013 .

Detecting impacts of extreme events with ecological in situ monitoring networks

Stefan Metzger, Mirco Migliavacca, Anja Rammig, 2017 .

A coarse grid three-dimensional global inverse model of the atmospheric transport. 2. Inversion of the transport of CO2 in the 1980s

Thomas Kaminski, Ralf Giering, Martin Heimann, 1999 .

Recipes for adjoint code construction

Thomas Kaminski, Ralf Giering, R. Giering, 1998, TOMS.

The CO2 Human Emissions (CHE) Project: First Steps Towards a European Operational Capacity to Monitor Anthropogenic CO2 Emissions

Matthew W. Jones, M. Buchwitz, M. Reuter, 2021, Frontiers in Remote Sensing.

On the Beneet of the Adjoint Technique for Inversion of the Atmospheric Transport Employing Carbon Dioxide as an Example of a Passive Tracer

T. Kaminski, 2007 .

Propagating uncertainty through prognostic carbon cycle data assimilation system simulations

Thomas Kaminski, Ralf Giering, Marko Scholze, 2007 .

Potential and limitations of inferring ecosystem photosynthetic capacity from leaf functional traits Journal Item

W. Oechel, K. Klumpp, P. Reich, 2018 .

An optimized thermal cracking approach for onsite upgrading of bitumen

T. Kaminski, M. Husein, Marziyeh Salehzadeh, 2022, Fuel.

Hydrocracking of Athabasca VR Using NiO-WO3 Zeolite-Based Catalysts

T. Kaminski, S. F. Anis, Raed Hashaikeh, 2018 .

Seasonal sea ice predictions for the Arctic based on assimilation of remotely sensed observations

R. Gerdes, T. Kaminski, M. Karcher, 2015 .

Sensitivity of the seasonal cycle of CO2 at remote monitoring stations with respect to seasonal surface exchange fluxes determined with the adjoint of an atmospheric transport model

Thomas Kaminski, Ralf Giering, Martin Heimann, 1996 .

Global inverse modeling of CH4 sources and sinks: An overview of methods

Thomas Kaminski, Peter Bergamaschi, Sander Houweling, 2016 .

Assisting the Evolution of the Observing System for the Carbon Cycle through Quantitative Network Design

Thomas Kaminski, Peter J. Rayner, T. Kaminski, 2017 .

Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers

Michael Hauhs, Fabian Gans, Thomas Kaminski, 2016, PloS one.

Generating efficient derivative code with TAF: Adjoint and tangent linear Euler flow around an airfoil

Thomas Slawig, Thomas Kaminski, Ralf Giering, 2005, Future Gener. Comput. Syst..

Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0

Nuno Carvalhais, Thomas Kaminski, Ralf Giering, 2016 .

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 .

Applying TAF to generate efficient derivative code of Fortran 77‐95 programs

Thomas Kaminski, Ralf Giering, R. Giering, 2003 .

Mean European Carbon Sink Over 2010–2015 Estimated by Simultaneous Assimilation of Atmospheric CO2, Soil Moisture, and Vegetation Optical Depth

Y. Kerr, M. Drusch, J. Wigneron, 2019, Geophysical Research Letters.

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 .

Assimilation and Network Design

Thomas Kaminski, Peter J. Rayner, T. Kaminski, 2008 .

On aggregation errors in atmospheric transport inversions

Thomas Kaminski, Ian G. Enting, Peter J. Rayner, 2001 .

Automatic Sparsity Detection Implemented as a Source-to-Source Transformation

Thomas Kaminski, Ralf Giering, R. Giering, 2006, International Conference on Computational Science.

Polar Ocean Observations: A Critical Gap in the Observing System and Its Effect on Environmental Predictions From Hours to a Season

Jiping Xie, Pierre Prandi, Frank Kauker, 2019, Front. Mar. Sci..

Assimilating atmospheric data into a terrestrial biosphere model: A case study of the seasonal cycle

Thomas Kaminski, Wolfgang Knorr, Peter J. Rayner, 2002 .

A coarse grid three-dimensional global inverse model of the atmospheric transport 1. Adjoint model and Jacobian matrix

Thomas Kaminski, Ralf Giering, Martin Heimann, 1999 .

An Earth Observation Land Data Assimilation System (EO-LDAS)

Nadine Gobron, Thomas Kaminski, Philip Lewis, 2012 .

Reviews and syntheses: Flying the satellite into your model: on the role of observation operators in constraining models of the Earth system and the carbon cycle

Thomas Kaminski, Pierre-Philippe Mathieu, T. Kaminski, 2017 .

A New Global fAPAR and LAI Dataset Derived from Optimal Albedo Estimates: Comparison with MODIS Products

Bernard Pinty, Philip Lewis, Jan-Peter Muller, 2016, Remote. Sens..

Exploiting the MODIS albedos with the Two‐stream Inversion Package (JRC‐TIP): 2. Fractions of transmitted and absorbed fluxes in the vegetation and soil layers

Nadine Gobron, Bernard Pinty, Thomas Kaminski, 2011 .

Warm Winter, Wet Spring, and an Extreme Response in Ecosystem Functioning on the Iberian Peninsula

M. Voßbeck, T. Kaminski, K. Thonicke, 2018 .

Using SMOS soil moisture data combining CO2 flask samples to constrain carbon fluxes during 2010–2015 within a Carbon Cycle Data Assimilation System (CCDAS)

M. Voßbeck, T. Kaminski, M. Scholze, 2020 .

Adjoint analysis of the 2007 all time Arctic sea‐ice minimum

Frank Kauker, Thomas Kaminski, Michael Karcher, 2009 .

The BETHY/JSBACH Carbon Cycle Data Assimilation System: experiences and challenges

R. Giering, R. Schnur, S. Zaehle, 2013 .

Constraining predictions of the carbon cycle using data

M. Scholze, J. Dufresne, T. Kaminski, 2011, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Inverse modeling of atmospheric carbon dioxide fluxes.

T Kaminski, M. Heimann, T. Kaminski, 2001, Science.

Snowy backgrounds enhance the absorption of visible light in forest canopies

B. Pinty, T. Kaminski, M. Taberner, 2011 .

An inverse radiative transfer model of the vegetation canopy based on automatic differentiation

Thomas Lavergne, Thomas Kaminski, Michael Voßbeck, 2010 .

Consolidating the Two-Stream Inversion Package (JRC-TIP) to Retrieve Land Surface Parameters From Albedo Products

Bernard Pinty, Thomas Lavergne, Thomas Kaminski, 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Partitioning the Solar Radiant Fluxes in Forest Canopies in the Presence of Snow

Nadine Gobron, Bernard Pinty, Thomas Lavergne, 2008 .

Development and First Applications of TAC

Thomas Kaminski, Ralf Giering, Michael Voßbeck, 2008 .

Constraining a terrestrial biosphere model with remotely sensed atmospheric carbon dioxide

M. Buchwitz, M. Voßbeck, T. Kaminski, 2017 .

Testing variational estimation of process parameters and initial conditions of an earth system model

Peter Herrmann, Thomas Kaminski, Armin Köhl, 2014 .

THE GREENHOUSE GAS PROJECT OF ESA’S CLIMATE CHANGE INITIATIVE (GHG-CCI): PHASE 1 ACHIEVEMENTS

O. Hasekamp, I. Aben, O. Schneising, 2013 .

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..

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

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

Reviews and Syntheses: Flying the Satellite into Your Model

Pierre-Philippe Mathieu, Thomas Kaminski, T. Kaminski, 2016 .

An Example of an Automatic Differentiation-Based Modelling System

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

Synergistic retrievals of leaf area index and soil moisture from Sentinel-1 and Sentinel-2

M. Voßbeck, T. Kaminski, T. Quaife, 2022, International Journal of Image and Data Fusion.

Remote sensing input for regional to global CO 2 flux modelling

Thomas Kaminski, Bernard Pinty, Nadine Gobron, 2008 .

Using TAMC to generate efficient adjoint code: Comparison of automatically generated code for evalua

Thomas Kaminski, Ralf Giering, R. Giering, 1998 .

Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass

A. Al Bitar, Y. Kerr, J. Wigneron, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Interactive comment on “ Consistent EO Land Surface Products including Uncertainty Estimates ” by Thomas Kaminski et al .

T. Kaminski, 2016 .

Tangent Linear and Adjoint Versions of NASA/GMAO’s Fortran 90 Global Weather Forecast Model

Thomas Kaminski, Ralf Giering, Ronald M. Errico, 2006 .

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

O. Hasekamp, I. Aben, O. Schneising, 2015 .

Recomputations in reverse mode AD

Thomas Kaminski, Ralf Giering, R. Giering, 2000 .