Advanced remote sensing instruments provide the vital component of global observing systems for planet Earth. New and emerging methods for atmospheric remote sensing, including clouds, precipitation, aerosol, pollutants, trace gases, greenhouse gases, atmospheric winds, etc., that combine different types of observations spanning over a huge range of the electromagnetic spectrum are now beginning to emerge with the maturation of global observing systems. Towards this, there are emerging developments taking place in the areas of atmospheric chemistry instruments involving advanced spectroscopy, high spectral resolution atmospheric sounders, cloud profiling and precipitation radars, as well as advanced optical and microwave imagers and earth radiation budget radiometers. Developments of such instrumentations bring challenging applications, not only in developing newer techniques to analyze them but new approaches to integrate the observations from the different sensors.
This conference will focus on the current accomplishments and future advancements of the remote sensing techniques and instrumentations to optimize the use of new and upcoming satellite data aimed at advancing our understanding of processes important for understanding on global environmental change. Community members are invited to bring to the meeting their interests in elements such as instrumentation, technology, modeling, algorithm, processing, information distribution, application, and the synergy among them. With individual and invited expert presentations and hallway informal discussions, this meeting will foster international, institutional, and personal collaboration and interaction to advance remote sensing knowledge and skill to meet increasing demands for understanding and management of our environment. Papers are solicited in the following and related topics:
- cloud, precipitation, and aerosol remote sensing and retrieval techniques including profiling approaches
- trace, greenhouse, and pollutant species remote sensing
- remote sensing of snowfall, tropical cyclones, convective storms, tornadoes, hail, graupel, lightning, and other extreme weather events
- recent advances on intra-seasonal variability and monsoon systems
- atmospheric sounding methods including next-generation sounders and GNSS methods
- orbital, suborbital, and ground-based atmospheric remote sensing instruments, including characteristics, calibration, algorithm development, data processing, and applications
- recent advances in radiative transfer modeling, especially for cloud and aerosol simulations
- data assimilation and data fusion methods, especially as applied to 'non-traditional' atmospheric data
- multi-sensor methods particularly emphasizing combined active and passive remote sensing techniques
- novel sensor and sensor data processing and compression techniques
- new intelligent sensors, intelligent/smart sensing methods, and emerging machine learning-based information processing technologies
- validation field campaign, in-situ data analysis
- recent advances in Arctic (Antarctic) research and strategy
- current and future operational and research remote sensing systems and missions, such as FY-4B, FY-3E, GPM, TROPICS, PACE, EWS-G, GISAT-1, MTG-FCI, JPSS-2, EarthCARE, Metop-SG, OceanSat3, WSF-M, TEMPO, PREFIRE, MAIA, INCUS, JPSS-3, FORMOSAT-7/COSMIC-2, and TRITON.
- new and proposed observing systems and mission concepts, such as AOS and PBL
- emerging techniques and technologies on distributed satellite constellations for atmospheric remote sensing, especially those utilizing low-cost, miniaturized instruments on smallsat/cubesat platforms
- studies of meteorological impacts on spread of infectious diseases such as COVID-19
- recent advances on machine learning-based research and applications: detection and forecast of unique weather phenomena such as severe storms and lightning; numerical weather prediction modeling systems (data assimilation and parameterization etc.).