Abstract. The objective of this study is to derive methane
(CH4) emissions from three landfills, which are found to be the most
significant CH4 sources in the metropolitan area of Madrid in Spain. We
derive CH4 emissions from the CH4 enhancements observed by
spaceborne and ground-based instruments. We apply satellite-based
measurements from the TROPOspheric Monitoring Instrument (TROPOMI) and the
Infrared Atmospheric Sounding Interferometer (IASI) together with
measurements from the ground-based COllaborative Carbon Column Observing
Network (COCCON) instruments. In 2018, a 2-week field campaign for measuring the atmospheric
concentrations of greenhouse gases was performed in Madrid in the framework
of Monitoring of the Greenhouse Gases Concentrations in Madrid (MEGEI-MAD) project.
Five COCCON instruments were deployed at different locations around the
Madrid city center, enabling the observation of total column-averaged
CH4 mixing ratios (XCH4). Considering the prevalent wind regimes,
we calculate the wind-assigned XCH4 anomalies for two opposite wind
directions. Pronounced bipolar plumes are found when applying the method to
NO2, which implies that our method of wind-assigned anomaly is suitable
to estimate enhancements of trace gases at the urban level from satellite-based
measurements. For quantifying the CH4 emissions, the wind-assigned
plume method is applied to the TROPOMI XCH4 and to the lower
tropospheric CH4 / dry-air column ratio (TXCH4) of the combined
TROPOMI+IASI product. As CH4 emission strength we estimate 7.4 × 1025 ± 6.4 × 1024 molec. s−1 from the TROPOMI XCH4 data and
7.1 × 1025 ± 1.0 × 1025 molec. s−1 from
the TROPOMI+IASI merged TXCH4 data. We use COCCON observations to
estimate the local source strength as an independent method. COCCON
observations indicate a weaker CH4 emission strength of 3.7 × 1025 molec. s−1 from a local source (the Valdemingómez waste
plant) based on observations from a single day. This strength is lower than
the one derived from the satellite observations, and it is a plausible
result. This is because the analysis of the satellite data refers to a
larger area, covering further emission sources in the study region, whereas
the signal observed by COCCON is generated by a nearby local source. All
emission rates estimated from the different observations are significantly
larger than the emission rates provided via the official Spanish Register of
Emissions and Pollutant Sources.