Related Experiment Video
Updated: Sep 2, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
Published on: September 26, 2017
Developing a high-resolution gridded rainfall product for Bangladesh during 1901-2018
Ashraf Dewan1, Shamsuddin Shahid2, Md Hanif Bhuian3
1Spatial Sciences discipline, Curtin University, Bentley 6102, Perth, Western Australia.
A new high-resolution gridded rainfall dataset for Bangladesh (1901-2018) was created using historical observations. This Bangladesh Gridded Rainfall (BDGR) product accurately captures rainfall patterns, aiding hydrometeorological studies.
Area of Science:
- Climatology
- Hydrology
- Data Science
Background:
- Accurate rainfall data is crucial for understanding climate variability and impacts in Bangladesh, a region prone to extreme weather events.
- Existing rainfall datasets may lack the spatial and temporal resolution required for detailed hydrometeorological analysis.
Purpose of the Study:
- To develop a high-resolution (1 km x 1 km) monthly gridded rainfall data product for Bangladesh spanning 1901-2018.
- To validate the accuracy and reliability of the developed gridded rainfall product using in-situ observations.
Main Methods:
- Development of the Bangladesh Gridded Rainfall (BDGR) product using diverse in-situ rainfall observations.
- Application of leave-one-out cross-validation to assess spatial and temporal accuracy.
- Statistical evaluation using Percentage Bias (PBIAS), Normalized Root Mean Square Error (NRMSE), and Correlation Coefficient (R²).
Main Results:
- The BDGR product demonstrated high spatial accuracy with PBIAS between -2% and 2%, NRMSE <20%, and R² >0.88.
- Temporal validation showed strong performance with mean PBIAS from -4.5% to 4.3%, NRMSE between 9% and 19%, and R² from 0.87 to 0.95.
- The BDGR product accurately replicated historical rainfall patterns and trends.
Conclusions:
- The developed Bangladesh Gridded Rainfall (BDGR) product provides a reliable resource for hydrometeorological research in Bangladesh.
- This dataset can support studies on floods, droughts, and groundwater recharge in this climate-sensitive region.
- The BDGR product enhances the understanding of climate variability and its impacts in Bangladesh.
More Related Videos
12:26Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
Published on: October 11, 2016
07:13Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
Published on: February 25, 2021
Related Concept Videos
Precipitation Gravimetry
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
Precipitation and Co-precipitation
Precipitation Processes
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Responses to Drought and Flooding
Light Acquisition