Call for Papers

International Conference on Hydrological Data Assimilation and Forecasting(ICHDAF-27) invites researchers, academicians, and professionals to submit original research, case studies, and review papers. Submissions may address a wide range of topics relevant to the conference themes, including but not limited to the following areas:

International Conference on Hydrological Data Assimilation and Forecasting(ICHDAF-27) 诚邀研究人员、学者及专业人士提交原创论文、案例研究及综述文章。投稿内容涵盖多个研究领域，包括但不限于以下方向：

Data assimilation techniques in hydrology

Forecasting hydrological extremes and variability

Remote sensing applications in hydrological data

Integrating observational data into models

Real-time data assimilation for forecasting

Hydrological data quality and uncertainty

Advancements in hydrological forecasting methods

Machine learning in hydrological data assimilation

Hydrological modeling with sparse data

Collaborative data sharing for hydrology

Impact of climate data on forecasting accuracy

Hydrological forecasts for water resource management

Statistical methods in hydrological forecasting

Hydrological data assimilation in urban areas

Innovative sensors for hydrological monitoring

Hydrological data assimilation in arid regions

Forecasting water quality using hydrological models

Hydrology and big data analytics

Evaluating forecasting models in hydrology

Future directions in hydrological data assimilation

All papers will undergo peer review, and accepted papers may be presented and considered for publication.

所有投稿将经过同行评审，录用论文可进行会议展示，并有机会发表。