Abstract
State-of-the-art Numerical Weather Prediction (NWP) models can provide useful weather information in the medium-range timescales (3 to 10 days ahead) which can be applied for decision-making in different sectors like agriculture, power distribution, disaster management and water resource management. Forecasting of monsoon weather system and associated rainfall is one of the most difficult areas in NWP due to complexities in land–ocean–atmosphere interactions and due to interactions between convective systems of cloud scale, mesoscale and synoptic and planetary scales. However, significant improvements can be noticed, in recent years. Some of the chief contributors to the improvement are improved data assimilation methods, enhanced satellite coverage, high-performance computers (HPCs) and high-resolution NWP models. This chapter documents current activities at NCMRWF involving the Unified Model and its Data Assimilation used for summer monsoon forecast in the medium-range timescales. Additionally, the research efforts made for testing and implementation of ensemble models and coupled models are also discussed.
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Rajagopal, E.N. et al. (2019). Current and Future Activities in Unified Modelling and Data Assimilation at NCMRWF. In: Randall, D., Srinivasan, J., Nanjundiah, R., Mukhopadhyay, . (eds) Current Trends in the Representation of Physical Processes in Weather and Climate Models. Springer Atmospheric Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-13-3396-5_13
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