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Increased water-use efficiency and reduced CO2 uptake by plants during droughts at a continental scale

Nature geoscience, 2018-08, Vol.11 (10), p.744-748

2018

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climate-change risk analysis for world ecosystems

Proceedings of the National Academy of Sciences - PNAS, 2006-08, Vol.103 (35), p.13116-13120

2006

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Regional Responses of Vegetation Productivity to the Two Phases of ENSO

Geophysical research letters, 2024-04, Vol.51 (8), p.n/a

2024

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

Remote sensing (Basel, Switzerland), 2017-10, Vol.9 (10), p.1052

2017

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A comparison of Spectral Angle Mapper and Artificial Neural Network classifiers combined with Landsat TM imagery analysis for obtaining burnt area mapping

Sensors (Basel, Switzerland), 2010-03, Vol.10 (3), p.1967-1985

2010

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Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale

Remote sensing (Basel, Switzerland), 2023, Vol.15 (3), p.676

2023

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

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (1), p.27

2019

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

Environmental research letters, 2022-01, Vol.17 (1), p.014015

2022

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Modeling Potential Equilibrium States of Vegetation and Terrestrial Water Cycle of Mesoamerica under Climate Change Scenarios

Journal of hydrometeorology, 2012-04, Vol.13 (2), p.665-680

2012

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CO2 inhibition of global terrestrial isoprene emissions: Potential implications for atmospheric chemistry

Geophysical research letters, 2007-09, Vol.34 (18), p.L18813-n/a

2007

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

Frontiers in remote sensing, 2022-05, Vol.3

2022

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Regional CO.sub.2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0

Geoscientific model development, 2021-06, Vol.14 (6), p.3383

2021

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

Tellus. Series A, Dynamic meteorology and oceanography, 2014-01, Vol.66 (1), p.22606-15

2014

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Regional CO 2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0

Geoscientific model development, 2021-06, Vol.14 (6), p.3383-3406

2021

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

Geoscientific Model Development, 2021-06, Vol.14 (6), p.3383-3406

2021

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Identity, imaginary and tourism in the tuareg region, in Niger

Via@, 2012-12 (2)

2012

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

Remote sensing of environment, 2020-04, Vol.240, p.111719, Article 111719

2020

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Spatiotemporal reconstructions of global CO 2 ‐fluxes using Gaussian Markov random fields

Environmetrics (London, Ont.), 2020-06, Vol.31 (4)

2020

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

Biogeosciences, 2017-07, Vol.14 (14), p.3401-3429

2017

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Investigating the usefulness of satellite-derived fluorescence data in inferring gross primary productivity within the carbon cycle data assimilation system

Biogeosciences, 2015-07, Vol.12 (13), p.4067-4084

2015

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Projected effects of climate change and forest management on carbon fluxes and biomass of a boreal forest

Agricultural and forest meteorology, 2024-04, Vol.349, p.109959, Article 109959

2024

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Why do inverse models disagree? A case study with two European CO.sub.2 inversions

Atmospheric chemistry and physics, 2023-03, Vol.23 (4), p.2813

2023

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Why do inverse models disagree? A case study with two European CO 2 inversions

Atmospheric chemistry and physics, 2023-03, Vol.23 (4), p.2813-2828

2023

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Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model

Biogeosciences, 2019-08, Vol.16 (15), p.3069-3093

2019

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Increased water-use efficiency and reduced CO2 uptake by plants during droughts at a continental scale

climate-change risk analysis for world ecosystems

Regional Responses of Vegetation Productivity to the Two Phases of ENSO

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

A comparison of Spectral Angle Mapper and Artificial Neural Network classifiers combined with Landsat TM imagery analysis for obtaining burnt area mapping

Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale

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

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

Modeling Potential Equilibrium States of Vegetation and Terrestrial Water Cycle of Mesoamerica under Climate Change Scenarios

CO2 inhibition of global terrestrial isoprene emissions: Potential implications for atmospheric chemistry

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

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

Regional CO.sub.2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0

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

Regional CO 2 inversions with LUMIA, the Lund University Modular Inversion Algorithm, v1.0

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

Identity, imaginary and tourism in the tuareg region, in Niger

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

Spatiotemporal reconstructions of global CO 2 ‐fluxes using Gaussian Markov random fields

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

Investigating the usefulness of satellite-derived fluorescence data in inferring gross primary productivity within the carbon cycle data assimilation system

Projected effects of climate change and forest management on carbon fluxes and biomass of a boreal forest

Why do inverse models disagree? A case study with two European CO.sub.2 inversions

Why do inverse models disagree? A case study with two European CO 2 inversions

Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model

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