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The ozone monitoring instrument
TLDR
The Ozone Monitoring Instrument is a ultraviolet/visible nadir solar backscatter spectrometer, which provides nearly global coverage in one day with a spatial resolution of 13 km/spl times/24 km and will enable detection of air pollution on urban scale resolution.
A fast method for retrieval of cloud parameters using oxygen A band measurements from the Global Ozone Monitoring Experiment
The Global Ozone Monitoring Experiment (GOME) on board the ERS-2 is designed to measure trace gas column densities in the Earth's atmosphere. Such retrievals are hindered by the presence of clouds.
An improved tropospheric NO 2 column retrieval algorithm for the Ozone Monitoring Instrument
Abstract. We present an improved tropospheric nitrogen dioxide column retrieval algorithm (DOMINO v2.0) for OMI based on better air mass factors (AMFs) and a correction for across-track stripes
Refinement of a Database of Spectral Surface Reflectivity in the Range 335-772 nm Derived from 5.5 Years of GOME Observations
[1] A global database of Lambert-equivalent reflectivity (LER) of the Earth's surface has been constructed by analyzing observations of the reflectivity at the top of the atmosphere made by the
Near-real time retrieval of tropospheric NO 2 from OMI
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
FRESCO+: an improved O 2 A-band cloud retrieval algorithm for tropospheric trace gas retrievals
The FRESCO (Fast Retrieval Scheme for Clouds from the Oxygen A-band) algorithm has been used to retrieve cloud information from measurements of the O 2 A-band around 760 nm by GOME, SCIAMACHY and
Cloud pressure retrieval using the O2‐O2 absorption band at 477 nm
[1] We present an operational method for cloud pressure retrieval from the Earth's reflectance spectrum in the visible, using the O2-O2 absorption band at 477 nm. The algorithm is simple and robust.
Cloud property retrievals for climate monitoring: Implications of differences between Spinning Enhanced Visible and Infrared Imager (SEVIRI) on METEOSAT‐8 and Advanced Very High Resolution Radiometer
[1] In the framework of the Satellite Application Facility on Climate Monitoring (CM-SAF) an algorithm was developed to retrieve Cloud Physical Properties (CPP) from the Spinning Enhanced Visible and
Surface reflectivity climatologies from UV to NIR determined from Earth observations by GOME‐2 and SCIAMACHY
The primary goal of this paper is to introduce two new surface reflectivity climatologies. The two databases contain the Lambertian-equivalent reflectivity (LER) of the Earth's surface, and they are
Retrieving tropospheric nitrogen dioxide from the Ozone Monitoring Instrument: effects of aerosols, surface reflectance anisotropy, and vertical profile of nitrogen dioxide
Retrievals of tropospheric nitrogen dioxide (NO2) from the Ozone Monitoring Instrument (OMI) are subject to errors in the treatments of aerosols, surface reflectance anisotropy, and vertical profile
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