Proliferation of atmospheric datasets can hinder policy making: a data blending technique offers a solution.

The proliferation of atmospheric datasets is a key outcome from the continued development and advancement of our collective scientific understanding. Yet often datasets describing ostensibly identical processes or atmospheric variables provide widely varying results. As an example, we analyze several datasets representing rainfall over Nepal.

Tropical cyclone simulations over Bangladesh at convection permitting 4.4 km & 1.5 km resolution.

High resolution simulations at 4.4 km and 1.5 km resolution have been performed for 12 historical tropical cyclones impacting Bangladesh.