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Remote Sensing of the Earth from Space

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 2515

Special Issue Editor


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Guest Editor
LATMOS, CNRS, Université de Versailles Saint-Quentin-en-Yvelines, Université Paris-Saclay, Sorbonne Université (SU), 11 Boulevard d’Alembert, 78280 Guyancourt, France
Interests: climate physics; Earth radiation budget; impact of solar variability on the middle atmosphere and coupling mechanisms; monitoring solar variability; stratospheric ozone; temperature vertical profile; land and ice evolution

Special Issue Information

Dear Colleagues,

It is our great pleasure to organize a Special Issue on the topic of "Remote Sensing of the Earth from Space". Sensing the atmosphere and surface of Earth from orbiting satellites is a growing field for scientists in environmental applications. Scientific teams around the world are working on the study of the physical and chemical processes that control atmospheric chemical composition and dynamics. More generally, remote sensing of the Earth from space gives researchers a powerful vantage point to study our planet. New opportunities could emerge from possible formation flights for the small satellite constellations, e.g., formations to maximize the spatial coverage at given times, trailing formations (multiple satellites orbiting on the same path separated by a specific time) to view the same scene at different local times, or cluster formations (satellites in close proximity) for high-resolution imaging.

This Special Issue will report on new results, advances, and directions for the application of remote sensing of the Earth from space using satellites and constellations.

Topics include, but are not limited to, the following:

- Earth radiation budget with its applications (global climate studies, general circulation models for IPCC, impact studies at a regional scale, etc.);

- Temperature vertical profile with its applications (climate studies (trends and variability), numerical weather prediction (data assimilation in NWP models), atmospheric wave analysis (tides, gravity, and planetary waves), the impact of the stratosphere on climate changes, atmospheric re-entry and hypersonic flights (atmospheric gradients), etc.);

- Airglow with its applications (upper atmosphere climatology, atmospheric dynamics (gravity waves, temperature evolution), tentative detection of extreme events (tsunamis and other extreme meteorological events), space weather (link with auroras), nocturnal vision, etc.);

- Stratospheric aerosols and composition with its applications (climate studies (radiative and photochemical impact of stratospheric aerosols), survey of volcanic and fire plumes (aircraft safety, transport studies), geo-engineering studies, mapping and evolution of mesospheric clouds, etc.);

- Solar variation with its applications (better understanding of stratospheric evolution, impact on climate at a regional scale, anticipating potential future solar extremes impacting Earth’s climate, etc.);

- Land and ice evolution with its applications (land use, Albedo, effective radiative temperature, etc.).

Contributions to the Special Issue entitled “Remote Sensing of the Earth from Space” may cover a broad range of approaches, ranging from research and application-oriented papers to more theoretical studies discussing recommendations for more effective solutions to these challenges now and in the future using satellite constellations.

Dr. Mustapha Meftah
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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Keywords

  • satellites
  • constellation
  • climate physics
  • earth radiation budget
  • stratospheric ozone
  • temperature vertical profile
  • airglow
  • stratospheric aerosols and composition
  • solar variation
  • land and ice evolution

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Published Papers (1 paper)

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Research

14 pages, 3861 KiB  
Article
Testing Variational Bias Correction of Satellite Radiance Data in the ACCESS-C: Australian Convective-Scale NWP System
by Nahidul Hoque Samrat, Fiona Smith, Jin Lee and Andrew Smith
Sensors 2022, 22(23), 9504; https://doi.org/10.3390/s22239504 - 5 Dec 2022
Viewed by 1930
Abstract
Radiance observations are typically affected by biases that come mainly from instrument error (scanning or calibration) and inaccuracies of the radiative transfer model. These biases need to be removed for successful assimilation, so a bias correction scheme is crucial in the Numerical Weather [...] Read more.
Radiance observations are typically affected by biases that come mainly from instrument error (scanning or calibration) and inaccuracies of the radiative transfer model. These biases need to be removed for successful assimilation, so a bias correction scheme is crucial in the Numerical Weather Prediction (NWP) system. Today, most NWP centres, including the Bureau of Meteorology (hereafter, “the Bureau”), correct the biases through variational bias correction (VarBC) schemes, which were originally developed for global models. However, there are difficulties in estimating the biases in a limited-area model (LAM) domain. As a result, the Bureau’s regional NWP system, ACCESS-C (Australian Community Climate and Earth System Simulator-City), uses variational bias coefficients obtained directly from its global NWP system ACCESS-G (Global). This study investigates independent radiance bias correction in the data assimilation system for ACCESS-C. We assessed the impact of using independent bias correction for the LAM compared with the operational bias coefficients derived in ACCESS-G between February and April 2020. The results from our experiment show no significant difference between the control and test, suggesting a neutral impact on the forecast. Our findings point out that the VarBC-LAM strategy should be further explored with different settings of predictors and adaptivity for a more extended period and over additional domains. Full article
(This article belongs to the Special Issue Remote Sensing of the Earth from Space)
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