Articles | Volume 22, issue 1
https://doi.org/10.5194/acp-22-295-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-295-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Jan 2022
Research article |
| 10 Jan 2022
| 10 Jan 2022
Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI
Qiansi Tu
CORRESPONDING AUTHOR
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Frank Hase
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Matthias Schneider
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Omaira García
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
Thomas Blumenstock
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Tobias Borsdorff
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Matthias Frey
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
now at: National Institute for Environmental Studies, Tsukuba, Japan
Farahnaz Khosrawi
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Alba Lorente
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Carlos Alberti
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Juan J. Bustos
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
André Butz
Institut für Umweltphysik, Heidelberg University (UH), Heidelberg, Germany
Virgilio Carreño
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
Emilio Cuevas
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
Roger Curcoll
Institute of Environmental Science and Technology (ICTA), Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain
now at: Institute of Energy Technologies, Polytechnic University of
Catalonia, Barcelona, Spain
Christopher J. Diekmann
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Darko Dubravica
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Benjamin Ertl
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Steinbuch Centre for Computing
(SCC), Karlsruhe Institute of Technology, Karlsruhe, Germany
Carme Estruch
Institute of Environmental Science and Technology (ICTA), Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain
Sergio Fabián León-Luis
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
Carlos Marrero
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
Josep-Anton Morgui
Institute of Environmental Science and Technology (ICTA), Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain
Ramón Ramos
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
Christian Scharun
Institute of Meteorology and
Climate Research (IMK-ASF), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Carsten Schneider
Institut für Umweltphysik, Heidelberg University (UH), Heidelberg, Germany
Eliezer Sepúlveda
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
Carlos Toledano
Group of Atmospheric Optics, University of Valladolid, Valladolid, Spain
Carlos Torres
Izaña Atmospheric Research Centre (IARC), Meteorological State
Agency of Spain (AEMet), Tenerife, Spain
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24 citations as recorded by crossref.
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- Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. 10.5194/amt-16-2237-2023
24 citations as recorded by crossref.
- Retrieving CH4-emission rates from coal mine ventilation shafts using UAV-based AirCore observations and the genetic algorithm–interior point penalty function (GA-IPPF) model T. Shi et al. 10.5194/acp-22-13881-2022
- PROFFASTpylot: Running PROFFAST with Python L. Feld et al. 10.21105/joss.06481
- Short-term trend and temporal variations in atmospheric methane at an Atlantic coastal site in Southwestern Europe R. Padilla et al. 10.1016/j.atmosenv.2024.120665
- Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
- Quantifying CH4 emissions from coal mine aggregation areas in Shanxi, China, using TROPOMI observations and the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-24-4875-2024
- Contrasting 2008-2019 Trends in Tropospheric Ozone in Spain J. Massagué et al. 10.2139/ssrn.4103368
- A methane monitoring station siting method based on WRF-STILT and genetic algorithm L. Fan et al. 10.3389/fenvs.2024.1394281
- Remotely sensed and surface measurement- derived mass-conserving inversion of daily NOx emissions and inferred combustion technologies in energy-rich northern China X. Li et al. 10.5194/acp-23-8001-2023
- Atmospheric remote sensing for anthropogenic methane emissions: Applications and research opportunities S. Zhang et al. 10.1016/j.scitotenv.2023.164701
- Retrievals of XCO2, XCH4 and XCO from portable, near-infrared Fourier transform spectrometer solar observations in Antarctica D. Pollard et al. 10.5194/essd-14-5427-2022
- Quantifying CH4 emissions in hard coal mines from TROPOMI and IASI observations using the wind-assigned anomaly method Q. Tu et al. 10.5194/acp-22-9747-2022
- Aerosol properties derived from ground-based Fourier transform spectra within the COllaborative Carbon Column Observing Network Ó. Alvárez et al. 10.5194/amt-16-4861-2023
- Detection and long-term quantification of methane emissions from an active landfill P. Kumar et al. 10.5194/amt-17-1229-2024
- Automated detection and monitoring of methane super-emitters using satellite data B. Schuit et al. 10.5194/acp-23-9071-2023
- Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software P. Aigner et al. 10.21105/joss.05131
- 煤炭行业甲烷排放卫星遥感研究进展与展望 秦. Qin Kai et al. 10.3788/AOS231293
- Drivers of divergent trends in tropospheric ozone hotspots in Spain, 2008–2019 J. Massagué et al. 10.1007/s11869-023-01468-0
- Design and evaluation of a portable frequency comb-referenced laser heterodyne radiometer A. Moreno-Oyervides et al. 10.1016/j.optlaseng.2023.107801
- Quantifying methane emissions from the global scale down to point sources using satellite observations of atmospheric methane D. Jacob et al. 10.5194/acp-22-9617-2022
- Methane emissions from landfills differentially underestimated worldwide Y. Wang et al. 10.1038/s41893-024-01307-9
- Using a portable FTIR spectrometer to evaluate the consistency of Total Carbon Column Observing Network (TCCON) measurements on a global scale: the Collaborative Carbon Column Observing Network (COCCON) travel standard B. Herkommer et al. 10.5194/amt-17-3467-2024
- Investigating high methane emissions from urban areas detected by TROPOMI and their association with untreated wastewater B. de Foy et al. 10.1088/1748-9326/acc118
- COCCON Measurements of XCO2, XCH4 and XCO over Coal Mine Aggregation Areas in Shanxi, China, and Comparison to TROPOMI and CAMS Datasets Q. Tu et al. 10.3390/rs16214022
- Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning technique Q. Tu et al. 10.5194/amt-16-2237-2023
Latest update: 20 Nov 2024
Short summary
We use different methane ground- and space-based remote sensing data sets for investigating the emission strength of three waste disposal sites close to Madrid. We present a method that uses wind-assigned anomalies for deriving emission strengths from satellite data and estimate their uncertainty to 9–14 %. The emission strengths estimated from the remote sensing data sets are significantly larger than the values published in the official register.
We use different methane ground- and space-based remote sensing data sets for investigating the...
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