Far-Infrared Outgoing Radiation Understanding and Monitoring (FORUM) – System Overview and Key Technology Developments of ESA's 9<sup>th</sup> Earth Explorer

Agócs, Tibor; Vanin, F.M.; Laberinti, Paolo; Oetjen, H.; Serlenga, Damiano; Sole, Montserrat Pinol; Salenc, Cedric; Lamarre, Daniel; Kaspers, Martin; Rodrigues, Gonçalo; Carou, Asier Martinez; Strotmann, Simon; Copano, Miguel; Lippa, M.; Morini, Carlotta

doi:10.1109/igarss46834.2022.9883892

Cited by 4 publications

(2 citation statements)

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“…The mid- and far-infrared radiance observations of the. M-AERI are also relevant to inform the NASA Polar Radiant Energy in the Far Infrared Experiment (PREFIRE) [ 26 ] and the ESA Far-infrared Outgoing Radiation Understanding and Monitoring (FORUM) [ 27 ] missions, which will be launched in the coming years to better understand the Earth’s energy budget in the polar regions.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral Infrared Observations of Arctic Snow, Sea Ice, and Non-Frozen Ocean from the RV Polarstern during the MOSAiC Expedition October 2019 to September 2020

Nikolla

Knuteson

Gero

2023

Sensors

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This study highlights hyperspectral infrared observations from the Marine-Atmospheric Emitted Radiance Interferometer (M-AERI) collected as part of the Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) deployment on the icebreaker RV Polarstern during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The ARM M-AERI directly measures the infrared radiance emission spectrum between 520 cm−1 and 3000 cm−1 (19.2–3.3 μm) at 0.5 cm−1 spectral resolution. These ship-based observations provide a valuable set of radiance data for the modeling of snow/ice infrared emission as well as validation data for the assessment of satellite soundings. Remote sensing using hyperspectral infrared observations provides valuable information on sea surface properties (skin temperature and infrared emissivity), near-surface air temperature, and temperature lapse rate in the lowest kilometer. Comparison of the M-AERI observations with those from the DOE ARM meteorological tower and downlooking infrared thermometer are generally in good agreement with some notable differences. Operational satellite soundings from the NOAA-20 satellite were also assessed using ARM radiosondes launched from the RV Polarstern and measurements of the infrared snow surface emission from the M-AERI showing reasonable agreement.

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Section: Introductionmentioning

confidence: 99%

Hyperspectral Infrared Observations of Arctic Snow, Sea Ice, and Non-Frozen Ocean from the RV Polarstern during the MOSAiC Expedition October 2019 to September 2020

Nikolla

Knuteson

Gero

2023

Sensors

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“…FORUM will be the ninth Earth Explorer mission of the European Space Agency (Oetjen, 2019;Palchetti et al, 2020;Carnicero et al, 2020;Pachot et al, 2020;Di Natale et al, 2020;Ben-Yami et al, 2022;Di Natale and Palchetti, 2022;Sgheri et al, 2022;Agócs et al, 2022); its launch is scheduled in 2027 on a polar-orbiting satellite. FORUM will fly in loose formation with the MetOp-SG-1A satellite, which will host IASI-NG (Clerbaux and Crevoisier, 2013;Bermudo et al, 2014;Crevoisier et al, 2014;Andrey-Andrés et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements

et al. 2022

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Abstract. In the frame of Earth observation remote-sensing data analysis, synergistic retrieval (SR) and complete data fusion (CDF) are techniques used to exploit the complementarity of the information carried by different measurements sounding the same air mass and/or ground pixel. While more difficult to implement due to the required simultaneous access to measurements originating from different instruments, the SR method is sometimes preferred over the CDF method as the latter relies on a linear approximation of the retrieved states as functions of the true atmospheric and/or surface state. In this work, we study the performance of the SR and CDF techniques when applied to simulated measurements of the Far-infrared Outgoing Radiation Understanding and Monitoring (FORUM) and the Infrared Atmospheric Sounding Interferometer – New Generation (IASI-NG) missions that will be operational in a few years, from two polar-orbiting satellites. The study is based on synthetic measurements generated for the two missions in clear-sky atmospheres. The target parameters of the inversion are the vertical profiles of temperature, water vapor and ozone mixing ratios, surface temperature, and spectral emissivity. We find that for exact matching of the measurements, the results of the SR and CDF techniques differ by less than 1/10 of their errors estimated through the propagation of measurement noise. For measurements with a realistic mismatch in space and time, the two methods provide more different results. Still in this case, however, the differences between the results are within the error bars due to measurement noise. We conclude that, when applied to FORUM and IASI-NG missions, the two methods are equivalent from an accuracy point of view.

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Satellite image classification using deep learning approach

Yadav,

Kapoor,

Yadav

et al. 2024

Earth Sci Inform

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Far-Infrared Outgoing Radiation Understanding and Monitoring (FORUM) – System Overview and Key Technology Developments of ESA's 9^th Earth Explorer

Cited by 4 publications

References 4 publications

Hyperspectral Infrared Observations of Arctic Snow, Sea Ice, and Non-Frozen Ocean from the RV Polarstern during the MOSAiC Expedition October 2019 to September 2020

Hyperspectral Infrared Observations of Arctic Snow, Sea Ice, and Non-Frozen Ocean from the RV Polarstern during the MOSAiC Expedition October 2019 to September 2020

Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements

Satellite image classification using deep learning approach

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Far-Infrared Outgoing Radiation Understanding and Monitoring (FORUM) – System Overview and Key Technology Developments of ESA's 9th Earth Explorer

Cited by 4 publications

References 4 publications

Hyperspectral Infrared Observations of Arctic Snow, Sea Ice, and Non-Frozen Ocean from the RV Polarstern during the MOSAiC Expedition October 2019 to September 2020

Hyperspectral Infrared Observations of Arctic Snow, Sea Ice, and Non-Frozen Ocean from the RV Polarstern during the MOSAiC Expedition October 2019 to September 2020

Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements

Satellite image classification using deep learning approach

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Far-Infrared Outgoing Radiation Understanding and Monitoring (FORUM) – System Overview and Key Technology Developments of ESA's 9^th Earth Explorer