recent climate change trend analysis and future prediction at

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IOP Conference Series: Earth and Environmental Science OPEN ACCESS Recent climate change trend analysis and future prediction at Satkhira District, Bangladesh To cite this article: Ruksana Haque Rimi et al 2009 IOP Conf. Ser.: Earth Environ. Sci. 6 472014 View the article online for updates and enhancements. You may also like Dengue transmission risk in a changing climate: Bangladesh is likely to experience a longer dengue fever season in the future Kishor K Paul, Ian Macadam, Donna Green et al. - Climate change-induced challenges to sustainable development in Bangladesh M A Mojid - Determining Land Use and Land Cover Changes and Predicting the Growth of Dhaka, Bangladesh Using Remote Sensing and GIS Techniques - This content was downloaded from IP address 200.75.212.181 on 06/11/2021 at 22:44

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IOP Conference Series Earth and Environmental Science

OPEN ACCESS

Recent climate change trend analysis and futureprediction at Satkhira District BangladeshTo cite this article Ruksana Haque Rimi et al 2009 IOP Conf Ser Earth Environ Sci 6 472014

View the article online for updates and enhancements

You may also likeDengue transmission risk in a changingclimate Bangladesh is likely to experiencea longer dengue fever season in the futureKishor K Paul Ian Macadam DonnaGreen et al

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Climate change-induced challenges tosustainable development in BangladeshM A Mojid

-

Determining Land Use and Land CoverChanges and Predicting the Growth ofDhaka Bangladesh Using RemoteSensing and GIS Techniques

-

This content was downloaded from IP address 20075212181 on 06112021 at 2244

P4707 Recent climate change trend analysis and future prediction at Satkhira District Bangladesh Ruksana Haque Rimi(1) SH Rahman(2) MZ Abedin(3) (1) Mowlana Bhasani Science and Technology Department of Environmental Science amp Resource Management Dhaka Bangladesh (2) Jahangirnagar University Dhakar Bangladesh (3) ACF (Action Contre la Faim) Bangladesh This study aimed at statistical analysis of the recent observed trend of climate change and prediction of future scenarios with Global Climate Models (GCMs) The statistical trend analysis of climate change could reveal that during 1970-2000 average annual minimum and maximum temperature exhibited a decreasing trend otherwise there was an increasing trend throughout the period of 1950-2006 The trend analysis of annual rainfall revealed that there was an increasing trend throughout the period 1950-2006 with the exception of a decreasing trend during the period of 1950-1980 The trend analysis of seasonal rainfall for the period 1981-2006 could reveal that from the last two decades the seasonal normal rainfall pattern has been altered Rainfall in pre-monsoon and winter season had a decreasing trend whereas it had an increasing trend during monsoon and post-monsoon seasons The inter-annual variation for winter season rainfall was little In case of the future climate change prediction GFDL-TR predicted delta values ranging from 13 to 15bdquoaC for 2050 while it varied from 18 to 21bdquoaC for 2070 Whereas UKTR suggested mean temperature increase was 17 to 20bdquoaC in 2050 and 17 to 22bdquoaC in 2070 According to HadCM2 generated delta values temperature would increase 18 to 21bdquoaC in 2050 and 25 to 29bdquoaC in 2070 It could be seen that different GCMs predicted different sets of values for rainfall increase (or decrease) Among the three GCMs GFDL-TR predicted milder changes while HadCM2 suggested severe changes and the values increased with time In case of rainfall GFDL-TR and UKTR both predicted a decreasing tendency in future during winter season (DJF) Nevertheless HadCM2 suggested that there would be higher precipitation during the winter season (DJF) which will be beneficial for agriculture Key words GCMs GFDL-TR HadCM2 UKTR

Climate Change Global Risks Challenges and Decisions IOP PublishingIOP Conf Series Earth and Environmental Science 6 (2009) 472014 doi1010881755-130767472014

ccopy 2009 IOP Publishing Ltd 1

P4707 Recent climate change trend analysis and future prediction at Satkhira District Bangladesh Ruksana Haque Rimi(1) SH Rahman(2) MZ Abedin(3) (1) Mowlana Bhasani Science and Technology Department of Environmental Science amp Resource Management Dhaka Bangladesh (2) Jahangirnagar University Dhakar Bangladesh (3) ACF (Action Contre la Faim) Bangladesh This study aimed at statistical analysis of the recent observed trend of climate change and prediction of future scenarios with Global Climate Models (GCMs) The statistical trend analysis of climate change could reveal that during 1970-2000 average annual minimum and maximum temperature exhibited a decreasing trend otherwise there was an increasing trend throughout the period of 1950-2006 The trend analysis of annual rainfall revealed that there was an increasing trend throughout the period 1950-2006 with the exception of a decreasing trend during the period of 1950-1980 The trend analysis of seasonal rainfall for the period 1981-2006 could reveal that from the last two decades the seasonal normal rainfall pattern has been altered Rainfall in pre-monsoon and winter season had a decreasing trend whereas it had an increasing trend during monsoon and post-monsoon seasons The inter-annual variation for winter season rainfall was little In case of the future climate change prediction GFDL-TR predicted delta values ranging from 13 to 15bdquoaC for 2050 while it varied from 18 to 21bdquoaC for 2070 Whereas UKTR suggested mean temperature increase was 17 to 20bdquoaC in 2050 and 17 to 22bdquoaC in 2070 According to HadCM2 generated delta values temperature would increase 18 to 21bdquoaC in 2050 and 25 to 29bdquoaC in 2070 It could be seen that different GCMs predicted different sets of values for rainfall increase (or decrease) Among the three GCMs GFDL-TR predicted milder changes while HadCM2 suggested severe changes and the values increased with time In case of rainfall GFDL-TR and UKTR both predicted a decreasing tendency in future during winter season (DJF) Nevertheless HadCM2 suggested that there would be higher precipitation during the winter season (DJF) which will be beneficial for agriculture Key words GCMs GFDL-TR HadCM2 UKTR

Climate Change Global Risks Challenges and Decisions IOP PublishingIOP Conf Series Earth and Environmental Science 6 (2009) 472014 doi1010881755-130767472014

ccopy 2009 IOP Publishing Ltd 1