Abstract submission deadline for the AOGS 2024 fast approaching

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Shrestha, Durga Lal (Environment, Clayton)

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Dec 5, 2023, 9:14:38 PM12/5/23
to he...@googlegroups.com, Robertson, David (Environment, Clayton), sanj...@iiserb.ac.in, Jonghun Kam(POSTECH), 李文韬

Apologies for any cross-postings

 

Dear HEPEX-ers

 

As a friendly reminder, the abstract submission deadline for the AOGS 2024 is fast approaching. Submissions are due by 2 January 2024.

 

On behalf of the co-conveners, we cordially invite you to submit abstracts for the session

HS10 : Advances in Ensemble Hydro-meteorological Forecasting: Methods and Applications

that we are organising at the 21st Asia Ocean Geosciences Society (AOGS) Annual Meeting. The meeting will take place in Pyeongchang, Gangwon-do, South Korea from 23 to 28 June 2024.

 

This session aims to explore the methodologies for the next-generation hydro-meteorological forecasting systems and address emerging challenges in the application of forecasts for real-world water resources planning and management. The session has a broad scope of hydro-meteorological forecasts and seeks to grasp attention of researchers and practitioners working together on hydro-meteorological forecasting across a diverse range of areas, but not limited to:

               Real time flood and high flow forecasting techniques

               Challenges in sub-seasonal to seasonal hydro-meteorological forecasts

               Evaluation of advantages in ensemble hydro-meteorological forecasts

               Techniques for pre-processing atmospheric predictions for hydrological applications including spatio-temporal downscaling

               Improving the forecast accuracy for the location, timing, and intensity of extreme rainfall events

               Methods for estimating and reducing hydrologic predictive uncertainty including multi-model combination, data assimilation and post-processing

               Integration of multi-scale forecasts into streamflow forecasting systems

               Impacts-based forecasting and advanced warning methodologies

               Application of forecast information in water resources management including development and optimisation of simulation and modelling system

               Quantification of predictive uncertainty and the development of risk-based decision support systems for emergence management

               Data-driven and machine learning techniques for hydro-metrological forecasting and the quantification of uncertainty

               Application of remote sensing techniques for hydro-metrological forecasting

This session has been endorsed by HEPEX (https://hepex.irstea.fr/).

Details of the session (HS10) are available here AOGS2024 (asiaoceania.org), or contact Durgalal...@csiro.au for further information. 

 

DEADLINE for Receipt of Abstracts: nd January 2024

 

We look forward to your contribution.

 

Kind regards

Durga Lal Shrestha on behalf of

Dr Sanjeev Kumar Jha (Indian Institute of Science Education and Research Bhopal)

Prof Jonghun Kam (Pohang University of Science and Technology)

Dr Wentao Li (Hohai University)

Dr David Robertson (Commonwealth Scientific and Industrial Research Organisation, Australia)

 

 

Durga Lal Shrestha

Senior Research Scientist | Hydro-climate Modeller

Environment  |  CSIRO 

durgalal...@csiro.au  |  03 9545 2461  |  043 168 5380

Private Bag 10, Clayton South VIC 3169, Australia

 

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Shrestha, Durga Lal (Environment, Clayton)

unread,
Dec 13, 2023, 4:49:29 PM12/13/23
to he...@googlegroups.com

Apologies for any cross-postings

 

Dear HEPEX-ers

 

As a friendly reminder, the abstract submission deadline for the AOGS 2024 is fast approaching. Submissions are due by 2 January 2024.

 

On behalf of the co-conveners, we cordially invite you to submit abstracts for the session

HS10 : Advances in Ensemble Hydro-meteorological Forecasting: Methods and Applications

that we are organising at the 21st Asia Ocean Geosciences Society (AOGS) Annual Meeting. The meeting will take place in Pyeongchang, Gangwon-do, South Korea from 23 to 28 June 2024.

 

This session aims to explore the methodologies for the next-generation hydro-meteorological forecasting systems and address emerging challenges in the application of forecasts for real-world water resources planning and management. The session has a broad scope of hydro-meteorological forecasts and seeks to grasp attention of researchers and practitioners working together on hydro-meteorological forecasting across a diverse range of areas, but not limited to:

               Real time flood and high flow forecasting techniques

               Challenges in sub-seasonal to seasonal hydro-meteorological forecasts

               Evaluation of advantages in ensemble hydro-meteorological forecasts

               Techniques for pre-processing atmospheric predictions for hydrological applications including spatio-temporal downscaling

               Improving the forecast accuracy for the location, timing, and intensity of extreme rainfall events

               Methods for estimating and reducing hydrologic predictive uncertainty including multi-model combination, data assimilation and post-processing

               Integration of multi-scale forecasts into streamflow forecasting systems

               Impacts-based forecasting and advanced warning methodologies

               Application of forecast information in water resources management including development and optimisation of simulation and modelling system

               Quantification of predictive uncertainty and the development of risk-based decision support systems for emergence management

               Data-driven and machine learning techniques for hydro-metrological forecasting and the quantification of uncertainty

               Application of remote sensing techniques for hydro-metrological forecasting

This session has been endorsed by HEPEX (https://hepex.org.au/).

Details of the session (HS10) are available here AOGS2024 (asiaoceania.org), or contact Durgalal...@csiro.au for further information. 

 

DEADLINE for Receipt of Abstracts: nd January 2024

 

We look forward to your contribution.

 

Kind regards

Durga Lal Shrestha on behalf of

Dr Sanjeev Kumar Jha (Indian Institute of Science Education and Research Bhopal)

Prof Jonghun Kam (Pohang University of Science and Technology)

Dr Wentao Li (Hohai University)

Dr David Robertson (Commonwealth Scientific and Industrial Research Organisation, Australia)

 

 

 

With kind regards, Durga.

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