How the WMO WIS 2.0 Global Cache from NOAA, the Met Office, Synoptic Data PBC, & Amazon can Facilitate Efficient Exchange of Data and Visualize Earth Observations to Improve Global Weather Forecasts

The WMO’s WIS 2.0 is the data sharing framework for the 21st century. WMO is building it to support the new WMO Unified Data Policy, establishing the Global Basic Observing Network and implementing Early Warnings for All.

WMO is partnering with the private sector to ensure the implementation of WIS 2.0 is built on robust infrastructure and with established industrial best practices. Amazon and Synoptic Data PBC, in partnership with NOAA and the Met Office, have implemented a Global Cache that will allow the exchange of data products that include earth observations, ocean data, upper-air, and model data, among others, between countries and users to effectively monitor and forecast global weather and study weather patterns.

WIS 2.0 is made by a Global Infrastructure serving the WMO community with several WIS 2.0 nodes making national, regional, or thematic data available to the Global Infrastructure for worldwide access. The WIS 2.0 Global Infrastructure provides unrestricted real-time access to observations, predictions, warnings, and climate or environmental information. It is critical to build a resilient Global Infrastructure that can provide real-time access without any interruption in the support of National Meteorological and Hydrological Services operations. Therefore, the components of the Global Infrastructure, namely the Global Broker and Global Cache, must provide a high degree of resilience. The Global Broker is a notification service informing subscribers when new data are ready to be downloaded from the Global Cache. In the Global Infrastructure, several Global Caches and Global Brokers are implemented for redundancy, and Amazon and Synoptic have implemented a Global Cache leveraging highly reliable and flexible AWS Cloud services in collaboration with NOAA and the Met Office.

The global weather enterprise and programs like the Earth Prediction Innovation Center, whose mission is to improve weather forecasting systems, can leverage the available global data to mitigate against devastating impacts of hazardous weather and environmental events on life, property, and both national and international economies. In this presentation we will present how global data sets, including model data, can be shared and how to help develop new innovative tools.