2021
DOI: 10.5194/amt-2021-196
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The FORUM End-to-End Simulator project: architecture and results

Abstract: Abstract. FORUM (Far-infrared Outgoing Radiation Understanding and Monitoring) will flight as the 9th ESA’s Earth Explorer mission, and an End-to-End Simulator (E2ES) has been developed as a support tool for the mission selection process and the subsequent development phases. The current status of the FORUM E2ES project is presented, together with the characterization of the capabilities of a full physics retrieval code applied to FORUM data. We show how the instrument characteristics and5the observed scene co… Show more

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Cited by 3 publications
(4 citation statements)
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“…We use the retrieval framework developed specifically for the FORUM End‐to‐End Simulator (Sgheri et al., 2021), which has, at its heart, an optimal estimation approach. The a‐priori information for the retrievals are the closest temperature and humidity profiles in space and time taken from the UM global forecast model.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We use the retrieval framework developed specifically for the FORUM End‐to‐End Simulator (Sgheri et al., 2021), which has, at its heart, an optimal estimation approach. The a‐priori information for the retrievals are the closest temperature and humidity profiles in space and time taken from the UM global forecast model.…”
Section: Discussionmentioning
confidence: 99%
“…The retrievals were performed using the L2M_I (Level 2 Module – Inversion) code, which was written for the FORUM End‐to‐End simulator ESA project (Sgheri et al., 2021). This is a standalone software for the solution of the inverse radiative transfer problem in clear or cloudy sky conditions and can perform estimates of selected geophysical parameters including surface temperature and emissivity, and vertical profiles of atmospheric temperature and volume mixing ratios of several gaseous species.…”
Section: Retrieval Methodology and Evaluation Metricsmentioning
confidence: 99%
“…forward and retrieval models (Sgheri et al, 2021;Ridolfi et al, 2020;Del Bianco et al, 2013;Bianchini et al, 2008;Carli et al, 2007) to derive geophysical products (L2). Only spectra acquired from the instrument channel one were used since the second 245 channel occasionally showed a degradation that could have a negative impact on the results.…”
Section: Level 2 Data Analysis (Retrieval)mentioning
confidence: 99%
“…Recent studies have investigated the use of high spectral resolution far‐IR radiances for cloud phase classification (i.e., Cossich et al., 2021; Maestri, Arosio, et al., 2019; Maestri, Cossich, & Sbrolli, 2019; Sgheri et al., 2021) based on observed downwelling radiances and synthetic satellite observations. These studies utilize numerous spectral channels across the far‐IR and mid‐IR for the radiance inputs to a principal component analysis‐based machine learning algorithm for cloud identification.…”
Section: Introductionmentioning
confidence: 99%