5-A Panorama of Scientific Data Management in Water and Climate Modelling.

Abstract

Improvements in the mathematical model performance of weather and climate have been complemented by the development of supercomputing infrastructure and technological advancement in scientific data management, data processing and data visualizations. This has enabled meteorological community to make significant progress in the areas of operational weather forecasting as well as in research and development activities. The new era in Atmospheric Sciences viz. ensembling of parameters obtained from the model output for quantitative weather and climate predictions and research; of high resolution downscaling of the atmosphere for the prediction of socio-economic impacts on various spatial and temporal scales; long term integration of mathematical models for climate change predictions and their possible impacts on the atmosphere of next decades, require huge computational resources as well as effective scientific data management. This paper provides a panorama of some of the recent developments in the scientific data management for weather and climate modeling. The paper discusses the key requirements for scientific data management weather community and proposes a distributed multicomponent environment for inter-disciplinary scientific data management (C-DME).