Skip to content
cropped-WE-ACT-logo-hor-1.png
  • Home
  • What We Do
  • Who We Are
    • Synergy Center
  • News
  • Media Center
  • Resources
  • Events
  • Get in touch
  • Home
  • What We Do
  • Who We Are
    • Synergy Center
  • News
  • Media Center
  • Resources
  • Events
  • Get in touch
  • Русский

Tag: Central Asia

The Application of Transformers and Hybrid Deep Learning Models for Streamflow Forecasting

Ashaf Ahmed and Antoifi Abdoulhalik Brunel University, Civil Engineering, Uxbridge, United Kingdom of Great Britain – England, Scotland, Wales (ashraf.ahmed@brunel.ac.uk) Abstract Hybrid machine learning (ML) models have exhibited great forecasting […]

Future projection of extreme precipitation and temperature indices in Central Asia using CORDEX-CORE

Praveen Rai1, Freddy Bangelesa1, Daniel Abel1, Katrin Ziegler1, Jingshui Huang2, Timo Schaffhauser2, Markus Disse2, and Heiko Paeth1 1Institute of Geography and Geology , Institute of Geography and Geology, University of Wuerzburg, Germany (praveen-kumar.rai@uni-wuerzburg.de) 2Chair of Hydrology and […]

Dynamic spatiotemporal migration of cross-sectoral cascading drought events across climate zones

Lu Tian, Jingshui Huang, and Markus Disse Technical University of Munich, Civil, Geo and Environmental Engineering, Chair of Hydrology and River Basin Management, München, Germany (lu.tian@tum.de) Abstract Anthropogenic global warming is exacerbating […]

A Central Asian pro-glacial discharge database for improving hydrological models

Eric Pohl 1, Mukhammed uulu Esenaman 2, Ardamehr Halimov 3, Dominik Amschwand 1, Tomas Saks 1, and Jingheng Huang 1 1 University of Fribourg, Department of Geosciences, Fribourg, Switzerland (eric.pohl@unifr.ch) […]

Extreme precipitation and temperature indices under future climate change in central Asia based on CORDEX-CORE

Praveen Rai 1, Freddy Bangelesa 1,3, Daniel Abel 1, Katrin Ziegler 1, Jingshui Huang 2, Timo Schaffhauser 2, Felix Pollinger 1, Markus Disse 2 and Heiko Paeth 1 1 Institute of […]

A Comparative Analysis of Advanced Machine Learning Techniques for River Streamflow Time-Series Forecasting

Antoifi Abdoulhalik* and Ashraf A. Ahmed Department of Civil and Environmental Engineering, Brunel University London, Kingston Lane, Uxbridge UB8 3PH, UK Abstract This study examines the contribution of rainfall data […]

Summary Handbook on Water Allocation in a Transboundary Context

This Summary Handbook is based on the publication Handbook on Water Allocation in a Transboundary Context (UNECE 2021), which was prepared within the framework of the Water Convention under the […]

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

Project Coordination

Dr Jingshui Huang

jingshui.huang@tum.de

M.Sc. Timo Schaffhauser

t.schaffhauser@tum.de

Chair of Hydrology and River Basin Management (Prof. Disse) and Technical University of Munich (TUM)

Arcisstrasse 21

München, Germany

Project Communication

Milica Velimirovic

velimirovic@inosens.rs

INOSENS DOO (INO)
Sonje Marinković 18

Novi Sad, Serbia

Follow us
Facebook-f Twitter Youtube Telegram

Copyright @ WE-ACT 2023. All Rights Reserved.

Imprint

Terms of Use

Privacy Policy