Near-real time retrieval of tropospheric NO2 from OMI
نویسندگان
چکیده
We present a new algorithm for the near-real time retrieval – within 3 h of the actual satellite measurement – of tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI). The retrieval is based on the combined retrieval-assimilation-modelling approach developed at KNMI for off-line tropospheric NO2 from the GOME and SCIAMACHY satellite instruments. We have adapted the off-line system such that the required a priori information – profile shapes and stratospheric background NO2 – is now immediately available upon arrival (within 80 min of observation) of the OMI NO2 slant columns and cloud data at KNMI. Slant columns for NO2 are retrieved using differential optical absorption spectroscopy (DOAS) in the 405– 465 nm range. Cloud fraction and cloud pressure are provided by a new cloud retrieval algorithm that uses the absorption of the O2-O2 collision complex near 477 nm. Online availability of stratospheric slant columns and NO2 profiles is achieved by running the TM4 chemistry transport model (CTM) forward in time based on forecast ECMWF meteo and assimilated NO2 information from all previously observed orbits. OMI NO2 slant columns, after correction for spurious across-track variability, show a random error for individual pixels of approximately 0.7×1015 molec cm−2. Cloud parameters from OMI’s O2-O2 algorithm have similar frequency distributions as retrieved from SCIAMACHY’s Fast Retrieval Scheme for Cloud Observables (FRESCO) for August 2006. On average, OMI cloud fractions are higher by 0.011, and OMI cloud pressures exceed FRESCO cloud pressures by 60 hPa. A sequence of OMI observations over Europe in October 2005 shows OMI’s capability to track changeable NOx air pollution from day to day in cloud-free situations. Correspondence to: K. F. Boersma ([email protected])
منابع مشابه
Advancing measurements of tropospheric NO2 from space: New algorithm and first global results from OMPS
We present a new algorithm based on the iterative spectral fitting technique for direct retrieval of nitrogen dioxide (NO2) vertical columns from hyperspectral satellite measurements, and a new spatial technique for separating the stratospheric and tropospheric contributions to the total NO2 vertical columns. This direct vertical column fitting (DVCF) algorithm allows more complete treatment of...
متن کاملAn improved tropospheric NO2 retrieval for OMI observations in the vicinity of mountainous terrain
We present an approach to reduce topographyrelated errors of vertical tropospheric columns (VTC) of NO2 retrieved from the Ozone Monitoring Instrument (OMI) in the vicinity of mountainous terrain. This is crucial for reliable estimates of air pollution levels over our particular area of interest, the Alpine region and the adjacent planes, where the Dutch OMI NO2 product (DOMINO) exhibits signif...
متن کاملA high-resolution and observationally constrained OMI NO2 satellite retrieval
This work presents a new high-resolution NO2 dataset derived from the NASA Ozone Monitoring Instrument (OMI) NO2 version 3.0 retrieval that can be used to estimate surface level concentrations. The standard 15 NASA product uses NO2 vertical profile shape factors from a 1.25° × 1° (~110 × 110 km) resolution Global Model Initiative (GMI) model simulation to calculate air mass factors, a critical ...
متن کاملGround-level nitrogen dioxide concentrations inferred from the satellite-borne Ozone Monitoring Instrument
[1] We present an approach to infer ground-level nitrogen dioxide (NO2) concentrations by applying local scaling factors from a global three-dimensional model (GEOS-Chem) to tropospheric NO2 columns retrieved from the Ozone Monitoring Instrument (OMI) onboard the Aura satellite. Seasonal mean OMI surface NO2 derived from the standard tropospheric NO2 data product (Version 1.0.5, Collection 3) v...
متن کاملEvaluation of a regional air quality forecast model for tropospheric NO2 columns using the OMI/Aura satellite tropospheric NO2 product
Results from a regional air quality forecast model, AIRPACT-3, are compared to OMI tropospheric NO2 integrated column densities for an 18 month period over the Pacific Northwest. AIRPACT column densities are well correlated (r = 0.75) to cloud-free (<35%) retrievals of tropospheric NO2 for monthly averages without wildfires, but are poorly correlated (r = 0.21) with significant model overpredic...
متن کامل