Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US ; year:2018 ; pages:1-15
Atmospheric measurement techniques discussions ; (2018), 1-15
- Urheber
-
Sheng, Jian-Xiong
Jacob, Daniel J.
Maasakkers, Joannes D.
Zhang, Yuzhong
Sulprizio, Melissa P.
- DOI
-
10.5194/amt-2018-121
- URN
-
urn:nbn:de:101:1-2018061810545831601752
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:24 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Sheng, Jian-Xiong
- Jacob, Daniel J.
- Maasakkers, Joannes D.
- Zhang, Yuzhong
- Sulprizio, Melissa P.
Ähnliche Objekte (12)
Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US
Systematic bias in evaluating chemical transport models with maximum daily 8-hour average (MDA8) surface ozone for air quality applications
Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02
The importance of vertical resolution in the free troposphere for modeling intercontinental plumes
A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument
U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers
Impacts of updated reaction kinetics on the global GEOS-Chem simulation of atmospheric chemistry
Global modeling of cloudwater acidity, rainwater acidity, and acid inputs to ecosystems
An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0
Global impacts of aviation on air quality evaluated at high resolution
An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0
A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases
Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US
Systematic bias in evaluating chemical transport models with maximum daily 8-hour average (MDA8) surface ozone for air quality applications
Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02
The importance of vertical resolution in the free troposphere for modeling intercontinental plumes
A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument
U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers
Impacts of updated reaction kinetics on the global GEOS-Chem simulation of atmospheric chemistry
Global modeling of cloudwater acidity, rainwater acidity, and acid inputs to ecosystems
An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0
Global impacts of aviation on air quality evaluated at high resolution
An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0
A blended TROPOMI+GOSAT satellite data product for atmospheric methane using machine learning to correct retrieval biases
Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US
Systematic bias in evaluating chemical transport models with maximum daily 8-hour average (MDA8) surface ozone for air quality applications
Systematic bias in evaluating chemical transport models with maximum daily 8 h average (MDA8) surface ozone for air quality applications: a case study with GEOS-Chem v9.02
The importance of vertical resolution in the free troposphere for modeling intercontinental plumes
A bias-corrected GEMS geostationary satellite product for nitrogen dioxide using machine learning to enforce consistency with the TROPOMI satellite instrument
U-Plume: automated algorithm for plume detection and source quantification by satellite point-source imagers
Impacts of updated reaction kinetics on the global GEOS-Chem simulation of atmospheric chemistry
Global modeling of cloudwater acidity, rainwater acidity, and acid inputs to ecosystems
An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0
Global impacts of aviation on air quality evaluated at high resolution
An adaptive method for speeding up the numerical integration of chemical mechanisms in atmospheric chemistry models: application to GEOS-Chem version 12.0.0