Logo image
Spatiotemporal analysis of temperature and precipitation extremes over Bangladesh using a novel gridded observational dataset
Journal article   Open access   Peer reviewed

Spatiotemporal analysis of temperature and precipitation extremes over Bangladesh using a novel gridded observational dataset

H. M. Imran, Jatin Kala, Shahab Uddin, A. K. M. Saiful Islam and Nachiketa Acharya
Weather and climate extremes, Vol.39, 100544
2023
pdf
Published8.30 MBDownloadView
Published (Version of Record)CC BY-NC-ND V4.0 Open Access

Abstract

Extreme climate indices Extreme temperature Extreme precipitation Trend analysis Bangladesh
This study explores spatial changes in trends of 29 climate extremes indices between 1981 and 2020 in Bangladesh, a country that frequently experiences the impacts of extreme events. This is the first study to examine trends in extreme climate over Bangladesh using a high resolution (0.05° × 0.05°) gridded daily temperature and precipitation data rather than individual stations. Trends in mean daily maximum and minimum temperatures were +0.38 °C and +0.25 °C per decade, respectively, for the last 40 years. The maximum increases in both warm days and nights were 12.75 days per decade with the fastest rate of warming in the eastern part of the country, whereas the maximum decreases in both cold days and nights were 7 days per decade with the western part experiencing the greatest increase in extreme cold. Significant reductions in total precipitation (225 mm per decade) were observed in the major parts of the country. However, the number of very heavy precipitation days (R20mm) showed a statistically significant increase (2.25 days per decade) in the southern coastal areas, with the tendency of more extreme wet days (R30 mm). The maximum decrease in annual total precipitation was 225 mm per decade while the consecutive dry days increased by 12.5 days per decade. While previous studies reported a faster rise in minimum temperature than maximum temperature, this study shows a faster increase in maximum temperature instead of minimum temperature in the study area. Extreme temperature changes were statistically more significant than changes in extreme precipitation. This study also shows statistically significant and consistent spatial trends of extreme temperature and precipitation when using high-resolution gridded observational datasets instead of station data.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#6 Clean Water and Sanitation
#13 Climate Action
#14 Life Below Water

Source: InCites

Metrics

259 File views/ downloads
91 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Citation topics
8 Earth Sciences
8.19 Oceanography, Meteorology & Atmospheric Sciences
8.19.7 Hydroclimatic Modeling
Web Of Science research areas
Meteorology & Atmospheric Sciences
ESI research areas
Geosciences
Logo image