Current potential of CH4 emission estimates using TROPOMI in the Middle East DOI Creative Commons
Mengyao Liu, Ronald van der A, Michiel van Weele

et al.

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(17), P. 5261 - 5277

Published: Sept. 6, 2024

Abstract. An improved divergence method has been developed to estimate annual methane (CH4) emissions from TROPOspheric Monitoring Instrument (TROPOMI) observations. It applied the period of 2018 2021 over Middle East, where orography is complicated, and mean mixing ratio (XCH4) might be affected by albedos or aerosols some locations. To adapt extreme changes terrain mountains coasts, winds are used with their divergent part removed. A temporal filter introduced identify highly variable further exclude fake sources caused retrieval artifacts. We compare our results widely bottom-up anthropogenic emission inventories: Emissions Database for Global Atmospheric Research (EDGAR), Community Data System (CEDS), Fuel Exploitation Inventory (GFEI) several regions representing various types sources. The NOx EDGAR Daily Constrained Satellite Observations (DECSO), industrial heat identified Visible Infrared Imaging Radiometer Suite (VIIRS) better understand resulting emissions. Our indicate possibly large underestimations in metropolises like Tehran (up 50 %) Isfahan 70 Iran. derived oil/gas production near Caspian Sea Turkmenistan comparable GFEI but more than 2 times higher CEDS 2019. Large discrepancies distribution Riyadh its surrounding areas found between EDGAR, CEDS, GFEI, east seems largely overestimated while estimates as well DECSO much lower activities. On other hand, Iran, Iraq, Oman dominated oil gas exploitation that probably include irregular releases methane, result estimates, which only invariable sources, inventories.

Language: Английский

Quantifying uncertainties in satellite NO2 superobservations for data assimilation and model evaluation DOI Creative Commons
Pieter Rijsdijk, Henk Eskes,

Arlene Dingemans

et al.

Geoscientific model development, Journal Year: 2025, Volume and Issue: 18(2), P. 483 - 509

Published: Jan. 28, 2025

Abstract. Satellite observations of tropospheric trace gases and aerosols are evolving rapidly. Recently launched instruments provide increasingly higher spatial resolutions, with footprint diameters in the range 2–8 km daily global coverage for polar orbiting satellites or hourly from geostationary orbits. Often modelling system has a lower resolution than used, model grid size 10–100 km. When mismatch is not properly bridged, final analysis based on satellite data may be degraded. Superobservations averages individual matching model's functional to reduce load assimilation system. In this paper, we discuss construction superobservations, their kernels, uncertainty estimates. The methodology applied nitrogen dioxide column measurements TROPOspheric Monitoring Instrument (TROPOMI) instrument Sentinel-5P satellite. particular, realistic uncertainties superobservations non-trivial crucial obtaining close-to-optimal results. We present detailed account representation error when missing due to, e.g., cloudiness. Furthermore, systematic errors retrievals leading correlations between nearby contributing one superobservation. Correlation information typically retrieval products, where an estimate provided observations. various contributions analysed spectral fitting stratospheric contribution air mass factor which find typical correlation length 32 method TROPOMI but can generalized other such as HCHO, CO, SO2 Ozone (OMI), Geostationary Environment Spectrometer (GEMS), Tropospheric Emissions: POllution (TEMPO) instrument. tested Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) ensemble Kalman filter These shown improve forecasts compared thinning assuming fully correlated uncorrelated within use comparisons way aids quantification pollution distributions, emissions, impact climate.

Language: Английский

Citations

0
Ammonia emission estimates using CrIS satellite observations over Europe DOI Creative Commons
Jieying Ding, Ronald van der A, Henk Eskes

et al.

Atmospheric chemistry and physics, Journal Year: 2024, Volume and Issue: 24(18), P. 10583 - 10599

Published: Sept. 23, 2024

Abstract. Over the past century, ammonia (NH3) emissions have increased with growth of livestock and fertilizer usage. The abundant NH3 lead to secondary fine particulate matter (PM2.5) pollution, climate change, a reduction in biodiversity, they affect human health. Up-to-date spatially temporally resolved information on is essential better quantify their impact. In this study we applied existing Daily Emissions Constrained by Satellite Observations (DECSO) algorithm observations from Cross-track Infrared Sounder (CrIS) estimate emissions. Because atmosphere influenced nitrogen oxides (NOx), implemented DECSO NOx simultaneously. are derived over Europe for 2020 spatial resolution 0.2°×0.2° using daily both CrIS TROPOspheric Monitoring Instrument (TROPOMI; Sentinel-5 Precursor (S5P) satellite). Due limited number satellite NH3, monthly reported. total about 8 Tg yr−1, precision 5 %–17 % per grid cell year European domain (35–55° N, 10° W–30° E). comparison satellite-derived independent bottom-up inventories situ indicates consistency terms magnitude country totals, results also being comparable regarding temporal distributions. validation implies that can use quickly derive fairly accurate regions local

Language: Английский

Citations

1
European Soil NOx Emissions Derived From Satellite NO2 Observations DOI Creative Commons
Xiaojuan Lin, Ronald van der A, Jos de Laat

et al.

Journal of Geophysical Research Atmospheres, Journal Year: 2024, Volume and Issue: 129(23)

Published: Dec. 6, 2024

Abstract We introduce an innovative method to distinguish soil nitrogen oxides (NO x = NO + 2 ) emissions from satellite‐based total emissions. To evaluate the approach, we compare deviation between tropospheric concentration observed by satellite and two atmospheric composition model simulations driven newly estimated Copernicus Atmosphere Monitoring Service (CAMS) inventory. The average in Europe are 1.7 kg N ha −1 yr 2019, annual approximately times larger than that of CAMS discrepancy originates mainly forests, which would mean over forest areas currently underestimated evaluation indicates DECSO‐soil performed significantly better using CAMS‐soil. Overall, simulated RMSE% is lower CAMS‐soil, 6% spring 2% autumn. Our can easily be extended other regions world despite having monthly variations very different those Europe.

Language: Английский

Citations

1
Current potential of CH4 emission estimates using TROPOMI in the Middle East DOI Creative Commons
Mengyao Liu, Ronald van der A, Michiel van Weele

et al.

Atmospheric measurement techniques, Journal Year: 2024, Volume and Issue: 17(17), P. 5261 - 5277

Published: Sept. 6, 2024

Abstract. An improved divergence method has been developed to estimate annual methane (CH4) emissions from TROPOspheric Monitoring Instrument (TROPOMI) observations. It applied the period of 2018 2021 over Middle East, where orography is complicated, and mean mixing ratio (XCH4) might be affected by albedos or aerosols some locations. To adapt extreme changes terrain mountains coasts, winds are used with their divergent part removed. A temporal filter introduced identify highly variable further exclude fake sources caused retrieval artifacts. We compare our results widely bottom-up anthropogenic emission inventories: Emissions Database for Global Atmospheric Research (EDGAR), Community Data System (CEDS), Fuel Exploitation Inventory (GFEI) several regions representing various types sources. The NOx EDGAR Daily Constrained Satellite Observations (DECSO), industrial heat identified Visible Infrared Imaging Radiometer Suite (VIIRS) better understand resulting emissions. Our indicate possibly large underestimations in metropolises like Tehran (up 50 %) Isfahan 70 Iran. derived oil/gas production near Caspian Sea Turkmenistan comparable GFEI but more than 2 times higher CEDS 2019. Large discrepancies distribution Riyadh its surrounding areas found between EDGAR, CEDS, GFEI, east seems largely overestimated while estimates as well DECSO much lower activities. On other hand, Iran, Iraq, Oman dominated oil gas exploitation that probably include irregular releases methane, result estimates, which only invariable sources, inventories.

Language: Английский

Citations

0