Detailansicht

Wissensnetz

Person

Gerrit Kuhlmann

Name	Gerrit Kuhlmann
Zeit	2012- (Wirkungsdaten)
Ort	Schweiz
Geschlecht	männlich
Akademischer Grad bzw. Titel	Dr.
Beziehung	Empa (Körperschaft) Universität Zürich Meteorologie (Studienfach)
Quelle	https://www.empa.ch/web/kug/home (Stand: 29.04.2024)
Datensatztyp	Person
GND-Nummer	1261120558
Datensatz-ID	1261120558
Beteiligt an alle anzeigen A light-weight NO<sub>2</sub> to NO<em><sub>x</sub></em> conversion model for quantifying NO<sub><em>x</em></sub> emissions of point sources from NO<sub>2</sub> satellite observations The <em>ddeq</em> Python library for point source quantification from remote sensing images (Version 1.0) Towards developing a control of grinding processes using a combination of grinding power evaluation and Barkhausen noise analysis Benchmarking data-driven inversion methods for the estimation of local CO<sub>2</sub> emissions from XCO<sub>2</sub> and NO<sub>2</sub> satellite images The <italic>ddeq</italic> Python library for point source quantification from remote sensing images (version 1.0) Deep learning applied to CO<sub>2</sub> power plant emissions quantification using simulated satellite images A lightweight NO<sub>2</sub>-to-NO<sub><italic>x</italic></sub> conversion model for quantifying NO<sub><italic>x</italic></sub> emissions of point sources from NO<sub>2</sub> satellite observations Deep learning applied to CO<sub>2</sub> power plant emissions quantification using simulated satellite images Segmentation of XCO<sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants Evaluation of simulated CO<sub>2</sub> power plant plumes from six high-resolution atmospheric transport models Segmentation of XCO<sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants Evaluation of simulated CO<sub>2</sub> power plant plumes from six high-resolution atmospheric transport models Mapping the spatial distribution of NO<sub>2</sub> with in situ and remote sensing instruments during the Munich NO<sub>2</sub> imaging campaign Impact of 3D radiative transfer on airborne NO<sub>2</sub> imaging remote sensing over cities with buildings Impact of 3D radiative transfer on airborne NO<sub>2</sub> imaging remote sensing over cities with buildings An online emission module for atmospheric chemistry transport models: Implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1 An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1 Quantifying CO 2 emissions of a city with the Copernicus Anthropogenic CO 2 Monitoring satellite mission Three-dimensional radiative transfer effects on airborne, satellite and ground-based trace gas remote sensing Quantifying CO 2 emissions of a city with the Copernicus Anthropogenic CO 2 Monitoring satellite mission Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities Detectability of CO 2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO 2 Monitoring (CO2M) mission Detectability of CO 2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO 2 Monitoring (CO2M) mission Accounting for the vertical distribution of emissions in atmospheric CO 2 simulations

Hinweis

Die Betaversion beinhaltet noch nicht alle Funktionen und Informationen des Katalogs des DNB-Portals. Falls Sie Informationen vermissen oder ein Medium bestellen wollen, besuchen Sie bitte die entsprechende Seite im Katalog des DNB-Portals über folgenden Link:

Katalog der Deutschen Nationalbibliothek

Gerrit Kuhlmann

A light-weight NO<sub>2</sub> to NO<em><sub>x</sub></em> conversion model for quantifying NO<sub><em>x</em></sub> emissions of point sources from NO<sub>2</sub> satellite observations

The <em>ddeq</em> Python library for point source quantification from remote sensing images (Version 1.0)

Towards developing a control of grinding processes using a combination of grinding power evaluation and Barkhausen noise analysis

Benchmarking data-driven inversion methods for the estimation of local CO<sub>2</sub> emissions from XCO<sub>2</sub> and NO<sub>2</sub> satellite images

The <italic>ddeq</italic> Python library for point source quantification from remote sensing images (version 1.0)

Deep learning applied to CO<sub>2</sub> power plant emissions quantification using simulated satellite images

A lightweight NO<sub>2</sub>-to-NO<sub><italic>x</italic></sub> conversion model for quantifying NO<sub><italic>x</italic></sub> emissions of point sources from NO<sub>2</sub> satellite observations

Deep learning applied to CO<sub>2</sub> power plant emissions quantification using simulated satellite images

Segmentation of XCO<sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants

Evaluation of simulated CO<sub>2</sub> power plant plumes from six high-resolution atmospheric transport models

Segmentation of XCO<sub>2</sub> images with deep learning: application to synthetic plumes from cities and power plants

Evaluation of simulated CO<sub>2</sub> power plant plumes from six high-resolution atmospheric transport models

Mapping the spatial distribution of NO<sub>2</sub> with in situ and remote sensing instruments during the Munich NO<sub>2</sub> imaging campaign

Impact of 3D radiative transfer on airborne NO<sub>2</sub> imaging remote sensing over cities with buildings

Impact of 3D radiative transfer on airborne NO<sub>2</sub> imaging remote sensing over cities with buildings

An online emission module for atmospheric chemistry transport models: Implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1

An online emission module for atmospheric chemistry transport models: implementation in COSMO-GHG v5.6a and COSMO-ART v5.1-3.1

Quantifying CO 2 emissions of a city with the Copernicus Anthropogenic CO 2 Monitoring satellite mission

Three-dimensional radiative transfer effects on airborne, satellite and ground-based trace gas remote sensing

Quantifying CO 2 emissions of a city with the Copernicus Anthropogenic CO 2 Monitoring satellite mission

Three-dimensional radiative transfer effects on airborne and ground-based trace gas remote sensing

Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities

Spatial and temporal representativeness of point measurements for nitrogen dioxide pollution levels in cities

Detectability of CO 2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO 2 Monitoring (CO2M) mission

Detectability of CO 2 emission plumes of cities and power plants with the Copernicus Anthropogenic CO 2 Monitoring (CO2M) mission

Accounting for the vertical distribution of emissions in atmospheric CO 2 simulations