Abstract
Many efforts have been made by the scientific community to produce gridded datasets with high spatial resolution because they are essential for climate change assessment, impact studies, decision-making, etc. This study fits into this context and describes the methods used to prepare a 5-km gridded product of precipitation and minimum and maximum temperatures by merging observed data from meteorological stations, from 1981 to 2016, of Bangladesh, Nepal, and Pakistan with ERA5 reanalysis. The step-by-step methods for station data quality control and the development of the 5-km gridded data are presented. Additionally, we use the 5-km dataset to show the main climate features of the three countries, which facilitate comparison with other data sources in the literature.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 292-302 |
| Number of pages | 11 |
| Journal | Geoscience Data Journal |
| Volume | 11 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Jul 2024 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- climate change
- climate variability
- gridded data
- high-resolution
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