The Weather and Climate Science for Service Partnership India is a collaborative science initiative between the UK and India.
What is the Weather and Climate Science for Service Partnership India?
The Weather and Climate Science for Service Partnership India (WCSSP India) is a research project building and harnessing strong, sustainable science and innovation partnerships between the UK and India.
It is advancing scientific understanding and modelling capabilities that can be translated into services, to protect lives and livelihoods around the world. The WCSSP India project is part of our Weather and Climate Science for Services Partnership (WCSSP) programme, supported by the UK Government’s Newton Fund.
Who is involved in the project?
WCSSP India is a collaborative initiative between the Met Office, UK academic partners and the India Meteorological Department. It also includes other MoES institutes such as the , the , the and the (MoES). It builds on existing partnerships between the Met Office and MoES institutes including the and
UK academic partners include the Centre for Ecology and Hydrology, the Health and Safety Executive, HR Wallingford, National Centre for Atmospheric Science, National Oceanography Centre, University of Birmingham, University of Leeds, and the University of Reading.
UK research institutes can find out about research calls and how to get involved in the project on our fund management page.
Why is this research important?
Every year, the Indian summer monsoon generally occurs between June and September and brings heavy rainfall to the region. Around 80% of the annual rainfall in India falls during the monsoon season and many industries such as agriculture rely on this water. Heavy summer monsoons can also cause flooding making it an important weather event to understand.
Around the world, severe weather and climate events such as fog, lightning and tropical cyclones can have significant impacts on the agriculture, energy and transport sectors. WCSSP India is developing the science needed to build improved predictions of weather and climate hazards to support resilient economic development and social welfare around the world.
Current research areas
Building and developing new prediction capabilities
WCSSP India is developing cutting-edge computer modelling systems that will contain a more detailed and comprehensive representation of the natural environment. These will provide a foundation for improved predictions of high impact weather. The project has already developed a new tool to help anticipate future periods of flooding and dry spells. The WCSSP programme is exploring the use of this tool to benefit other regions around the world such as Southeast Asia and Brazil.
Evaluating and improving predictions
The project is utilising observations to enhance our understanding of monsoon processes and to evaluate and improve the cutting-edge modelling systems. A range of high impact weather hazards are of interest including tropical cyclones, fog, lightning, heatwaves, droughts and flash floods.
High-impact weather and risk-based forecasting
To deliver improved forecasts, early warning and communication of high impact weather and seasonal events, the project is using new and multi-disciplinary approaches to develop impact-based forecasting methods. This builds on existing tools and infrastructure already in place in India and the UK.
Recent project research publications
The project has produced several collaborative peer reviewed studies by scientists from research institutes in the UK and India.
- Titley et al., Key factors influencing the severity of fluvial flood hazard from tropical cyclones, Journal of Hydrometeorology
- Keane et al., Biases in Indian summer monsoon precipitation forecasts in the Unified Model and their relationship with BSISO index, Geophysical Research Letters
- Martin et al., Overview of Rainfall Metrics for the Assessment of Model Simulations of the Monsoons: Current Status and Future Perspectives, GEWEX Quarterly
- Levine et al., Roles of air–sea coupling and horizontal resolution in the climate model simulation of Indian monsoon low pressure systems, Climate Dynamics
- Kabir et al., A deep convolutional neural network model for rapid prediction of fluvial flood inundation, Journal of Hydrology
- Tsushima et al., Investigating physical constraints on climate feedbacks using a perturbed parameter ensemble, Climate Dynamics
- Jain et al., Current chance of unprecedented monsoon rainfall over India using dynamical ensemble simulations, Environmental Research Letters
- Hunt et al., The 2018 Kerala floods: a climate change perspective, Climate Dynamics
- Titley et al., A global evaluation of multi-model ensemble tropical cyclone track probability forecasts, Quarterly Journal of the Royal Meteorological Society
- Keane et al., Fast biases in monsoon rainfall over southern and central India in the MetUM, Journal of Climate
- Neal et al., Deriving optimal weather pattern definitions for the representation of precipitation variability over India, International Journal of Climatology
Research grants awarded
WCSSP India research grants awarded in 2020:
- Developing metrics and diagnostics for assessing ocean dynamics, National Oceanography Centre
- Using satellites for impact and vulnerability assessments, HR Wallingford
- Novel assimilation methods for coupled atmosphere-ocean prediction, University of Reading
WCSSP India research grants awarded in 2019:
- Convective scale regional coupled environmental prediction model evaluation and development University of Reading and National Centre for Atmospheric Science
- Fog – Land, Boundary Layer & Aerosol processes, University of Leeds
- Orographic precipitation, University of Reading and National Centre for Atmospheric Science
- Coupled Prediction of the Indian Monsoon, University of Reading and National Centre for Atmospheric Science
- Research on statistical post processing techniques for heavy rainfall forecasts in India, University of Birmingham
- Collecting data on socio-economic impacts of severe weather events in India, Health and Safety Executive
- Impact scenario modelling for risk-based flood warning in India, Centre for Ecology and Hydrology