[IGSMAIL-8302] Session AG06 "Assimilation of Space- and Ground-based Water Vapor Observations for Weather Forecasting and GNSS Applications" at AOGS 2023, 30 July - 04 August 2023 in Singapore

[Zhizhao Liu]

Dear Colleagues,

Happy New Year Greetings!

We would like to draw your attention to the Session AG06 "Assimilation of
Space- and Ground-based Water Vapor Observations for Weather Forecasting
and GNSS Applications" at the Asia Oceania Geosciences Society (AOGS)
conference 2023, to be held
during 30 July - 04 August 2023 in Singapore.

Atmospheric water vapor, as one of the Essential Climate Variable (ECV), is
the most abundant greenhouse gas. However it is under-sampled in
meteorological and climate observing systems. Thus observation of water
vapor is one of the priorities in the Global Climate Observing System
(GCOS). Obtaining and exploiting additional high-quality humidity
observations from GNSS and other remote sensing techniques is essential to
improve weather forecasting and climate monitoring.

Sensing of atmospheric water vapor with space-based and ground-based
techniques is now a well-established field of research and application. In
addition to the ever-growing availability of ground-based GNSS networks and
GNSS radio occultation satellite missions, the quantity and quality of
atmospheric water vapor data from various remote sensing and meteorological
satellites are increasing rapidly. The provision of abundant atmospheric
water vapor data from different sources gives an excellent opportunity for
researchers in the meteorological community to assimilate data into
numerical weather prediction (NWP) models. On the other hand, the modelled
water vapor data from NWP also provide geodetic community an excellent
source of data to improve the precision of geodetic research and
applications such as GNSS and InSAR.

This session welcomes abstract contributions on the following and other
related topics:
• New algorithms to estimate water vapor from ground-based and space-based
techniques such as ground-based GNSS, space-based RO, InSAR,
visible/near-infrared/infrared/microwave sensors, and other sensors;
• Retrieval and inter-comparison of water vapor among multiple instruments
• Assimilation and analysis of water vapor products from ground-based GNSS,
space-based RO, InSAR, and various remote sensing/meteorological satellites
for nowcasting and weather forecasting;
• Use of NWP modeling outputs as atmospheric corrections for GNSS, InSAR,
VLBI, and other geodetic observation techniques;
• Estimation of atmospheric parameters from crowdsourcing equipment;
• Atmospheric products for climate, hydrology, natural disasters, and
others.

The submission deadline has been set as 14 February 2023. You can submit
your abstract(s) via
https://www.asiaoceania.org/aogs2023/public.asp?page=submit_abstracts.asp

For more information about the session, please visit
https://www.asiaoceania.org/aogs2023/public.asp?page=sessions_and_conveners.asp
and select AS06 (Atmospheric Sciences AS06)

For more information about the AOGS 2023 conference, please visit
https://www.asiaoceania.org/aogs2023/public.asp?page=home.asp

Your contributions are very much appreciated and we look forward to seeing
you at the AOGS 2023.

Sincerely yours,


Session Conveners:
Prof George Zhizhao Liu (The Hong Kong Polytechnic University, Hong Kong,
China)
Dr Jonathan Jones (Met Office, UK)
Prof Jens Wickert (GFZ German Research Centre for Geosciences and Technical
University of Berlin, Germany)
Prof Kefei Zhang (Royal Melbourne Institute of Technology University,
Australia)


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Dr. George LIU, Zhizhao, FHKMetS, FHKIES
Professor & Associate Head (Partnership)
Director, Hydrographic Surveying Laboratory
Department of Land Surveying & Geo-Informatics (LSGI)
Faculty of Construction and Environment (FCE)
The Hong Kong Polytechnic University (PolyU)
181 Chatham Road South, Hung Hom, Kowloon, Hong Kong
P.R. China
Tel:  (852)2766 5961 (Office), 2766 4655 (Lab), 5178 3176 (Cell)
Fax: (852)2330 2994
E-mail: lszzliu at polyu.edu.hk (biz) zzliu2 at gmail.com (h)
http://www.lsgi.polyu.edu.hk
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