Abstract submission deadline for the AOGS 2025 fast approaching

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Shrestha, Durga Lal (Environment, Clayton)

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Feb 6, 2025, 9:22:19 PMFeb 6
to he...@googlegroups.com, sanj...@iiserb.ac.in, 李文韬, Robertson, David (Environment, Clayton)

Apologies for any cross-postings

 

Dear HEPEX-ers

 

This is a friendly reminder that the abstract submission deadline for AOGS 2025 is fast approaching. Submissions are due by 18 February 2025.

 

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

HS14 : Advances in Ensemble Hydro-meteorological Forecasting: Methods and Applications at the 22nd Asia Oceania Geosciences Society (AOGS) Annual Meeting, which will be held in Singapore from 27 July to 1 August 2025.

 

This session aims to explore methodologies for next-generation hydro-meteorological forecasting systems and address emerging challenges in applying these forecasts for real-world water resources planning and management. The session welcomes a broad range of topics related to hydro-meteorological forecasts and seeks to attract both researchers and practitioners working on various aspects of this field. Topics of interest include, but are not limited to:

•             Real time flood and high flow forecasting techniques

•             Challenges in sub-seasonal to seasonal hydro-meteorological forecasts

•             Methods and evaluation of ensemble hydro-meteorological forecasts

•             Pre-processing techniques for 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 forcing 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

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

•             Application of remote sensing techniques for hydro-metrological forecasting

 

The session has been endorsed by HEPEX (https://hepex.org.au/), a platform for interaction and collaboration within the global hydrological ensemble prediction community.

 

For more details about the session (HS14), please visit https://www.asiaoceania.org/aogs2025, or contact Durgalal...@csiro.au for further information. 

 

Deadline for Abstract Submission: 18 February 2025

 

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)

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)

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Feb 19, 2025, 5:28:29 PMFeb 19
to he...@googlegroups.com, sanj...@iiserb.ac.in, 李文韬, Robertson, David (Environment, Clayton)

Dear HEPEX-ers

 

As you may have noticed, the abstract submission deadline for AOGS 2025 has been extended by 10 days until February 28. If you haven't submitted your abstract yet, this is your chance to do so for our HEPEX session.

 

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

HS14 : Advances in Ensemble Hydro-meteorological Forecasting: Methods and Applications at the 22nd Asia Oceania Geosciences Society (AOGS) Annual Meeting, which will be held in Singapore from 27 July to 1 August 2025.

 

This session aims to explore methodologies for next-generation hydro-meteorological forecasting systems and address emerging challenges in applying these forecasts for real-world water resources planning and management. The session welcomes a broad range of topics related to hydro-meteorological forecasts and seeks to attract both researchers and practitioners working on various aspects of this field. Topics of interest include, but are not limited to:

•             Real time flood and high flow forecasting techniques

•             Challenges in sub-seasonal to seasonal hydro-meteorological forecasts

•             Methods and evaluation of ensemble hydro-meteorological forecasts

•             Pre-processing techniques for 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 forcing 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

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

•             Application of remote sensing techniques for hydro-metrological forecasting

 

The session has been endorsed by HEPEX (https://hepex.org.au/), a platform for interaction and collaboration within the global hydrological ensemble prediction community.

 

For more details about the session (HS14), please visit https://www.asiaoceania.org/aogs2025, or contact Durgalal...@csiro.au for further information. 

 

Deadline for Abstract Submission: 18 February 2025 28 February 2025

 

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)

Dr Wentao Li (Hohai University)

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

 

 

 

With kind regards, Durga.

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