Periodic and quantitative assessment of research activities in a given area is an essential step to ensure identification of priority and niche areas. White-space, a term borrowed from spectrum analysis, in this context refers to areas of research (frequency bands) that are less explored. Thus white-space mapping or analysis identifies relative strength of research, and enables us to uncover opportunities that are not obvious or less explored. (Scientific Correspondence)

Advance and accurate forecasts of rainfall can aid many sectors, from agriculture to disaster mitigation. However, given the tremendous spatial variability of rainfall, only forecasts at high resolution can serve users’ needs. The skill of a dynamical forecast model depends on the resolution and varies from region to region. While such non-uniqueness poses challenges, they also provide avenues for improving skill; in particular, calibration and customization can improve

Recognizing the need for mathematical modelling-enabled, forecast-centred research in dynamical long-range forecasting in India, the CSIR Centre for Mathematical Modelling and Computer Simulation

Extreme rainfall events today pose a serious threat to many populated and urbanized areas worldwide. An accurate estimate of frequency and distribution of these events can significantly aid in policy planning and observation system design. We report here a highresolution (10 km) analysis of heavy rainfall episodes (defined as 24-h rainfall exceeding 250 mm) over the Indian region.

One of the biggest challenges in climate research is to arrive at reliable future projections.