Author(s)

Xiaoxia Chen¹, Min Wei^1,2, Jing Sun¹

¹National Meteorological Information Center, China Meteorological Administration, Beijing, China.
²Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, and Joint Center for Global Change Studies (JCGCS), Tsinghua University, Beijing, China.

In this paper, we present a set of best practices for workflow design and implementation for numerical weather prediction models and meteorological data service, which have been in operation in China Meteorological Administration (CMA) for years and have been proven effective in reliably managing the complexities of large-scale meteorological related workflows. Based on the previous work on the platforms, we argue that a minimum set of guidelines including workflow scheme, module design, implementation standards and maintenance consideration during the whole establishment of the platform are highly recommended, serving to reduce the need for future maintenance and adjustment. A significant gain in performance can be achieved through the workflow-based projects. We believe that a good workflow system plays an important role in the weather forecast service, providing a useful tool for monitoring the whole process, fixing the errors, repairing a workflow, or redesigning an equivalent workflow pattern with new components.

Workflow, SMS, ecFlow, S2S, Numerical Model, Meteorological Data Service

Chen, X. , Wei, M. and Sun, J. (2017) Workflow-Based Platform Design and Implementation for Numerical Weather Prediction Models and Meteorological Data Service. Atmospheric and Climate Sciences, 7, 337-351. doi: 10.4236/acs.2017.73025.