Abstract
As a developing agricultural country, Bangladesh is vulnerable to the effects of climate change, so accurate precipitation prediction is of great value to Bangladesh in achieving sustainable development. Traditional climate simulation models and prediction tools find it challenging to meet the growing needs on high spatial resolution. In this paper, we developed a XGBoost-based spatio-temporal precipitation prediction model and then generated high-resolution precipitation distribution maps in Bangladesh from 2025 to 2035, where the spatial resolution can reach 0.1° latitude and longitude. Finally, the EOF analysis reveals three leading modes in high-resolution precipitation evolution during 2025–2035.
| Original language | English |
|---|---|
| Pages (from-to) | 223-234 |
| Number of pages | 12 |
| Journal | International Journal of Global Warming |
| Volume | 33 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 28 Jun 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- Climate projections
- Ecology and Quality of the Environment
- Environment
- Land and Soil
- Protection and Management
- climate change
- climate change education
- Bangladesh
- precipitation prediction
- XGBoost model
ASJC Scopus subject areas
- Global and Planetary Change
- Atmospheric Science
- Management, Monitoring, Policy and Law
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