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TRAINING ON
Climate Services Initiative
Dhaka, Bangladesh
07 March 2022 to 11 March 2022
We are organizing a five-day training for relevant professionals in Bangladesh on the spatial and temporal analysis of climate change using CORDEX regional climate models over Bangladesh. Supported by the UK Aid-funded Asia Regional Resilience to a Changing Climate (ARRCC) programme, this training will introduce climate change science and focus on bias calculation and selection of a few representative models for a defined area of interest. We are collaborating with the following for the training: the Met Office; the World Climate Research Programme (WCRP)/COordinated Regional Climate Downscaling EXperiment (CORDEX); the Swedish Meteorological and Hydrological Institute (SMHI); the Bangladesh Meteorological Department (BMD); and the Centre for Climate Change Research (CCCR) at the Indian Institute of Tropical Meteorology (IITM) – Pune.
This training aims to build knowledge and skills of professionals in Bangladesh in analysing climate change projections using CORDEX regional climate model simulations.
The training will help participants better understand climate model projections using 17 regional climate simulations, selecting representative models which best replicate historical climate cycles and assessing spatial and temporal variability of present and future climate change over a defined area of interest.
In addition to gaining an overall understanding of climate modelling and downscaling, the participants will be able to:
In its current iteration, this training is being offered to the BMD and relevant research organizations in Bangladesh. The training is planned to be held in person, subject to the COVID-19 situation. Alternatively, the training may have to be organized virtually.
Participation list
ICIMOD: Saurav Pradhananga, Kabi Raj Khatiwada, Mandira Singh Shrestha
Met Office: Joseph Daron
CORDEX: Iréne Lake
CCCR, IITM – Pune: J Sanjay
BUET: Md Saiful Islam
ICIMOD
Regional climate models can inform detailed impact assessments and planning in vulnerable regions such as South Asia. As part of efforts to build institutional capacities regarding climate change analysis in the region, we got together with partners, including the UK’s Met Office, to organise a training on ‘Spatial and temporal analysis of climate change using CORDEX regional climate models for Bangladesh’. Download
In October 2020, ICIMOD and the Met Office, which is the UK’s national meteorological agency, partnered with the WCRP/CORDEX, SMHI, and IITM – Pune to organize a training on Regional climate change projections: Climate change analysis using CORDEX regional climate models over South Asia. Organized under the UK Aid-supported ARRCC programme, the training was part of the ARRCC’s institutional capacity-building approach to strengthen the knowledge and capabilities of staff working at key national and regional institutions, delivering climate services to provide information needs for informed climate change responses in South Asia.
As a follow-on activity to the 2020 training, country-focused trainings are being organized for professionals from different national meteorological and hydrological services (NMHSs) in ARRCC focal countries – Afghanistan, Bangladesh, Nepal, and Pakistan – under ICIMOD’s Climate Services Initiative. In 2021, we held two trainings on using CORDEX regional climate models to carry out spatial and temporal analysis of climate change over South Asia for the Department of Hydrology and Meteorology of Nepal in June and for Bangladesh University for Engineering and Technology (BUET) and other academic institutions in December.
This training planned for March 2022 will introduce climate change science and will focus on bias calculation and selection of few representative models for a defined area of interest for the BMD. The training will delve deeper into how R-based tools can be used to analyse and visualize climate change projections spatially at different time scales over the whole of Bangladesh.
The knowledge and capabilities of staff working at key national and regional institutions delivering climate services need to be strengthened to provide information needs for informed climate change responses in South Asia. The ARRCC programme has adopted an institutional capacity-building approach on regional climate projections to help meet this need. The approach targets NMHSs and other organizations in ARRCC focal countries working to provide climate services to government/non-government organizations, communities, and industrial sectors vulnerable to climate change impacts.
A series of training activities will take place between 2020 and 2022 to build the capacities of individuals at targeted institutions in analysing climate projections and producing information products for use in different sectoral applications. Trainings will be jointly developed and delivered by ICIMOD and the Met Office, with support from other relevant organizations, including the WCRP/CORDEX, SMHI, and IITM – Pune, where appropriate.
Timings are in Bangladesh Standard Time (UTC+06:00).
Pre-assessment survey
Troubleshooting with the installation of the required software – R programme and required packages/Climate Data Operator
Opening session
Welcome remarks – TBC, BMD
Opening remarks – Joseph Daron, Met Office
Climate services in the HKH region and objectives of the training – Mandira Singh Shrestha, ICIMOD
Introductions and expectations – Participants
Climate change and its impact on the HKH region – Mandira Singh Shrestha, ICIMOD
Climate modelling and approaches to regional and local downscaling – Joseph Daron and Cathryn Fox, Met Office
Application of future climate projections in Bangladesh – Md Saiful Islam, BUET
Extracting CORDEX datasets (precipitation and temperatures)
Clipping datasets for an area of interest (Bangladesh)
Preparing datasets for visualization
Annual climate patterns of all 17 CORDEX simulations
Discussions about climatic patterns
Understanding the present climatology (precipitation and temperature) using APHRODITE data (1976–2005)
Hands-on session on participants’ area of interest
Comparison of CORDEX datasets with reference datasets – APHRODITE
Calculate seasonal bias (step 1)
Calculate annual bias (step 2)
Narrow down the model to 4 RCMs (RCP4.5) and 4 RCMs (RCP8.5)
Ensemble mean of the selected four models
Calculation of future scenarios of precipitation and temperature at both scenarios
Calculation of the annual and seasonal change for the season
Preparation of the maps
Q&A followed by discussion
Overview of CORDEX
Irene Lake, CORDEX
Saurav Pradhananga, Kabi Raj Khatiwada, ICIMOD
Calculation of the scatter plot with min-max error bars
Understanding of the uncertainty among the models
Troubleshooting
Discussion on the results
Way forward
Group work on selected areas by participants
Presentation by participants
Remarks by BMD
Remarks by Met Office
Remarks by ICIMOD
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