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Scientific challenges of convective-scale numerical weather prediction

Yano, J.-I., et al. Scientific challenges of convective-scale numerical weather prediction. Bulletin of The American Meteorological Society - (BAMS) (2018).doi:10.1175/BAMS-D-17-0125.1

REDDA: Reduced subspace in big data treatment: A new paradigm for efficient geophysical Data Assimilation

Big Data methods in geosciences

Environmental science has been a primary challenge test-ground for Data Assimilation. The huge dimension of the numerical models of the climate system, the vast amount of Earth observational data at our disposal, and the pressure to deliver timely accurate forecasts, have motivated an extraordinary research activity that has led to enormous advances which have subsequently spread out to other domains of science.

Project Details
Funding Agency: 
Research Council of Norway
Coordinating Institute: 
Nansen Environmental and Remote Sensing Center
Project Status: 
Completed
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