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Maximilian Reuter (1973-)

Physiker

Name	Maximilian Reuter
Zeit	1973- (Lebensdaten)
Ort	Berlin, Deutschland (Geburtsort)
Beruf	Physiker (charakteristischer Beruf)
Weitere Angaben	Diss. Fachbereich Geowissenschaften; Physiker
Quelle	AM Metadaten
Datensatztyp	Person
GND-Nummer	130234680
Datensatz-ID	130234680
Beteiligt an alle anzeigen Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data Towards a sector-specific CO/CO<sub>2</sub> emission ratio: Satellite-based observation of CO release from steel production in Germany Greenhouse gas retrievals for the CO2M mission using the FOCAL method: first performance estimates A method for estimating localized CO<sub>2</sub> emissions from co-located satellite XCO<sub>2</sub> and NO<sub>2</sub> images Towards a sector-specific CO∕CO<sub>2</sub> emission ratio: satellite-based observations of CO release from steel production in Germany Greenhouse Gas Retrievals for the CO2M mission using the FOCAL method: First Performance Estimates Advances in retrieving XCH<sub>4</sub> and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020 Advances in retrieving methane and carbon monoxide from TROPOMI onboard Sentinel-5 Precursor Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020 Retrieval of greenhouse gases from GOSAT and greenhouse gases and carbon monoxide from GOSAT-2 using the FOCAL algorithm Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm Development of a small unmanned aircraft system to derive CO 2 emissions of anthropogenic point sources PMIF v1.0: an inversion system to estimate the potential of satellite observations to monitor fossil fuel CO 2 emissions over the globe PMIF v1.0: assessing the potential of satellite observations to constrain CO 2 emissions from large cities and point sources over the globe using synthetic data Spatially resolved evaluation of Earth system models with satellite column averaged CO 2 Spatially resolved evaluation of Earth system models with satellite column-averaged CO 2 XCO 2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm Can a regional-scale reduction of atmospheric CO 2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO 2 retrievals Development of a small unmanned aircraft system to derive CO 2 emissions of anthropogenic point sources Severe Californian wildfires in November 2018 observed from space: the carbon monoxide perspective 1.5°, 2°, and 3° global warming: visualizing European regions affected by multiple changes The potential of satellite spectro-imagery for monitoring CO 2 emissions from large cities The potential of satellite spectro-imagery for monitoring CO 2 emissions from large cities Identification of cloudy and clear sky areas in MSG SEVIRI images by analyzing spectral and temporal information Identification of cloudy and clear sky ares in MSG Seviri images by analyzing spectral and temporal information

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Katalog der Deutschen Nationalbibliothek

Maximilian Reuter (1973-)

Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks

Automated detection of regions with persistently enhanced methane concentrations using Sentinel-5 Precursor satellite data

Towards a sector-specific CO/CO<sub>2</sub> emission ratio: Satellite-based observation of CO release from steel production in Germany

Greenhouse gas retrievals for the CO2M mission using the FOCAL method: first performance estimates

A method for estimating localized CO<sub>2</sub> emissions from co-located satellite XCO<sub>2</sub> and NO<sub>2</sub> images

Towards a sector-specific CO∕CO<sub>2</sub> emission ratio: satellite-based observations of CO release from steel production in Germany

Greenhouse Gas Retrievals for the CO2M mission using the FOCAL method: First Performance Estimates

Advances in retrieving XCH<sub>4</sub> and XCO from Sentinel-5 Precursor: improvements in the scientific TROPOMI/WFMD algorithm

Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020

Advances in retrieving methane and carbon monoxide from TROPOMI onboard Sentinel-5 Precursor

Technical note: The CAMS greenhouse gas reanalysis from 2003 to 2020

Retrieval of greenhouse gases from GOSAT and greenhouse gases and carbon monoxide from GOSAT-2 using the FOCAL algorithm

Retrieval of greenhouse gases from GOSAT and GOSAT-2 using the FOCAL algorithm

Development of a small unmanned aircraft system to derive CO 2 emissions of anthropogenic point sources

PMIF v1.0: an inversion system to estimate the potential of satellite observations to monitor fossil fuel CO 2 emissions over the globe

PMIF v1.0: assessing the potential of satellite observations to constrain CO 2 emissions from large cities and point sources over the globe using synthetic data

Spatially resolved evaluation of Earth system models with satellite column averaged CO 2

Spatially resolved evaluation of Earth system models with satellite column-averaged CO 2

XCO 2 retrieval for GOSAT and GOSAT-2 based on the FOCAL algorithm

Can a regional-scale reduction of atmospheric CO 2 during the COVID-19 pandemic be detected from space? A case study for East China using satellite XCO 2 retrievals

Development of a small unmanned aircraft system to derive CO 2 emissions of anthropogenic point sources

Severe Californian wildfires in November 2018 observed from space: the carbon monoxide perspective

1.5°, 2°, and 3° global warming: visualizing European regions affected by multiple changes

The potential of satellite spectro-imagery for monitoring CO 2 emissions from large cities

The potential of satellite spectro-imagery for monitoring CO 2 emissions from large cities

Identification of cloudy and clear sky areas in MSG SEVIRI images by analyzing spectral and temporal information

Identification of cloudy and clear sky ares in MSG Seviri images by analyzing spectral and temporal information