Atmospheric Remote Sensing
A section of Remote Sensing (ISSN 2072-4292).
Background and Aim
The atmosphere and atmospheric processes play a crucial role in life on our planet. Important atmospheric parameters include temperature, pressure, wind, precipitable water, and atmospheric components including clouds, aerosols, and trace gases such as carbon dioxide, methane, ozone, nitrogen dioxide, sulphur dioxide, ammonia, and volatile organic compounds. All atmospheric components interact with each other, as well as with the solar radiation, surface, and biosphere, and play various roles in atmospheric chemistry, climate and climate change, air quality, and many other aspects. Their concentrations often vary on time scales from seconds to days, spatial scales from local to global, and with the seasons. Knowledge on atmospheric aerosol, clouds, and trace gases is of importance for many branches of modern science and technology. In particular, this information is of crucial importance for understanding the water, carbon, and nitrogen cycles, socioeconomic impacts such as renewable energy, degradation of materials and cultural heritage, health issues, food production, land, road, and ship traffic and air quality management, the development of adaptation strategies for climate change, etc. Atmospheric composition data are available from ground-based in situ and airborne measurements, including remote sensing, sometimes with a high degree of sophistication and temporal resolution, but with limited representativeness in a spatial sense. Satellite remote sensing can provide the spatial variation of atmospheric variables, using the same sensor and technique to retrieve the desired information, over the whole planet, but with less detail. The application of ground-based, airborne, and satellite-based remote sensing requires the development of sophisticated instruments, fit-for-purpose, retrieval algorithms, big-data processing, and tools for presentation, analysis, and interpretation. These include radiative transfer and chemical transport models.
The aim of Atmospheric Remote Sensing is to offer a platform to discuss the use of remote sensing to improve our knowledge and understanding of the atmosphere and atmospheric processes in the widest sense. Atmospheric Remote Sensing solicits research papers presenting the development of remote sensing instruments, techniques, and retrieval algorithms, their validation and evaluation, and in particular, the application of remote sensing data and techniques in studies leading to a better understanding of atmospheric processes.
Sensor and technological development:
- Development and application of instruments for atmospheric remote sensing: satellite, airborne, and ground-based.
- Active/passive sensors: lidar, radar/radiometers, and spectrometers.
- Hyperspectral remote sensing.
- Retrieval algorithms, radiative transfer models; sensor synergy.
- New techniques and applications.
- Validation and evaluation.
- Image processing.
- Data processing, presentation, distribution, interpretation.
- Machine learning.
- Big data.
Applications and process studies:
- Solar and terrestrial radiation: Earth radiation budget, UV radiation levels, chemical processes, visibility, scattering and absorption.
- Climate and climate change: time series, data assimilation, forecasting.
- Air quality studies: aerosols, trace gases, and their interactions; new particle formation; atmospheric pollution transport and large-scale circulation.
- Spatial variations: sources, sinks; top-down emission estimates.
- Meteorological parameters: temperature, wind, boundary layer height, precipitation, lightning, etc.
- Cloud properties.
- Ozone measurements and interpretation; ozone holes.
- Applications to atmosphere/biosphere/land/ocean/lakes/ interactions.
- Hydrological cycle, aerosol–cloud–radiation interaction, precipitation.
- Volcanic eruptions and their effect on atmospheric composition.
- Long time series and their temporal variation: time series analysis.
- Applications: renewable energy, food production, effects on cultural heritage and material degradation, adaptation and planning.
- Urban pollution and adaptation.
Topical Advisory Panel
Following special issues within this section are currently open for submissions:
- Advances in Atmospheric Chemistry and Transportation of Aerosol by Remote Sensing and Modeling (Deadline: 15 October 2023)
- Analysis of Satellite Cloud Images via Deep Learning Techniques (Deadline: 20 October 2023)
- New Insights in GNSS Remote Sensing for Ionosphere Monitoring and Modeling (Deadline: 30 October 2023)
- Advances in Remote Sensing and Atmospheric Optics (Deadline: 31 October 2023)
- Advances in Satellite and Ground-Based Polarimetric Remote Sensing and Applications in Atmosphere, Ocean and Land Surface Detections (Deadline: 31 October 2023)
- Remote Sensing Observations to Improve Knowledge of Lithosphere–Atmosphere–Ionosphere Coupling during the Preparatory Phase of Earthquakes (Deadline: 31 October 2023)
- Remote Sensing for Cloud, Aerosol, Radiation, and Precipitation Interactions (Deadline: 31 October 2023)
- Beidou/GNSS Precise Positioning and Atmospheric Modeling II (Deadline: 31 October 2023)
- Aerosol and Cloud Properties Retrieval Using Satellite Sensors II: Focusing on Radiative Effects (Deadline: 31 October 2023)
- Advance of Radar Meteorology and Hydrology II (Deadline: 1 November 2023)
- Severe Weather Observations and Meteorology Modeling Development Using Remote Sensing (Deadline: 1 November 2023)
- Remote Sensing of Aerosol, Cloud and Their Interactions (Deadline: 1 November 2023)
- Advancement of Remote Sensing in Regional Climate Modeling: Observations, Mechanisms, and Projections (Deadline: 10 November 2023)
- Earth Radiation Budget and Earth Energy Imbalance (Deadline: 15 November 2023)
- Advances in Infrared Observation of Earth’s Atmosphere II (Deadline: 15 November 2023)
- Understanding the Roles of Aerosols and Clouds in Environment, Meteorology and Climate with Advanced Lidar Remote Sensing Techniques (Deadline: 30 November 2023)
- Applications of Remote Sensing in Monitoring Ionospheric and Atmospheric Physics (Deadline: 1 December 2023)
- New Challenges in Solar Radiation, Modeling and Remote Sensing II (Deadline: 15 December 2023)
- Advances in Remote Sensing of Pulsating Aurora from Space and Earth (Deadline: 15 December 2023)
- Climate and Environmental Changes Monitored by Satellite Remote Sensing III (Deadline: 15 December 2023)
- Prediction of Extreme Weather Events II (Deadline: 15 December 2023)
- Aerosol and Atmospheric Correction (Deadline: 31 December 2023)
- Feature Papers of Section Atmospheric Remote Sensing II (Deadline: 31 December 2023)
- Multi-Scale Variability of Stratospheric and Tropospheric Ozone and Related Processes (Deadline: 31 December 2023)
- Atmospheric Rivers from Modeling and Remote Sensing (Deadline: 31 December 2023)
- Remote Sensing of Atmospheric Aerosols over Asia: Methods and Applications II (Deadline: 31 December 2023)
- Space Weather: Observations and Modeling of the Near Earth Environment II (Deadline: 31 December 2023)
- Land-Atmosphere Interactions and Effects on the Climate of the Tibetan Plateau and Surrounding Regions III (Deadline: 31 December 2023)
- "Atmospheric Environmental Remote Sensing Society (AERSS)": Celebrating the Establishment (Deadline: 31 December 2023)
- Recent Advances in Observation and Simulation of the Lithosphere-Atmosphere-Space Coupling (Deadline: 15 January 2024)
- Remotely Sensed Data of Space Weather: New Observations, Approaches and Methods (Deadline: 15 January 2024)
- Application of Remote Sensing in Solar Physics and Space Weather Studies (Deadline: 15 January 2024)
- Remote Sensing Applications for Synoptic and Mesoscale Dynamics and Forecast (Deadline: 15 January 2024)
- Remote Sensing of Particulate Matter, Its Components and Air Pollution Assessment (Deadline: 19 January 2024)
- Editorial Board Members’ Collection Series: Recent Progress in Atmospheric Remote Sensing (Deadline: 31 January 2024)
- Multi-Source Remote Sensing Observations of Aerosol Properties and Air Quality (Deadline: 31 January 2024)
- Observation of Atmospheric Boundary-Layer Based on Remote Sensing (Deadline: 31 January 2024)
- Analyzing Aerosol–Cloud–Climate Interactions through Remotely Sensed Data (Deadline: 31 January 2024)
- Radio Occultations for Numerical Weather Prediction, Ionosphere, and Space Weather II (Deadline: 1 February 2024)
- Remote Sensing of Aerosols, Planetary Boundary Layer, and Clouds (Deadline: 15 February 2024)
- Remote Sensing Data Application, Data Reanalysis and Advances for Mesoscale Numerical Weather Models (Deadline: 25 February 2024)
- Advanced Satellite Remote Sensing Techniques for Meteorological, Climate and Hydroscience Studies (Deadline: 29 February 2024)
- Remote Sensing and Modeling of Greenhouse and Chemically Active Gases in the Atmosphere (Deadline: 29 February 2024)
- Advances in Instrumentation and Algorithms for Atmospheric Electricity Applications (Deadline: 29 February 2024)
- Stereoscopic Remote Sensing of Atmospheric Ozone and Its Precursors and Its Applications (Deadline: 10 March 2024)
- Remote Sensing for High Impact Weather and Extremes (Deadline: 25 March 2024)
- Advances in Near-Earth Space and Atmospheric Physics from Ground-Based and Satellite Observations (Deadline: 29 March 2024)
- Cloud Remote Sensing: Current Status and Perspective (Deadline: 29 March 2024)
- Recent Developments in Remote Sensing Instruments, Technologies, and Results for Aerosol and Cloud Measurements (Deadline: 31 March 2024)
- Remote Sensing Calibration and Validation in Sounding Atmosphere and Ionosphere (Deadline: 31 August 2024)