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Deployment of
low-cost, accurate weather station and other observation instruments

3D-PAWS (3D-Printed Automatic Weather Station) is an initiative to provide low-cost, reliable, and sustainable environmental observation platform solutions to primarily data sparse regions of the world. 3D-PAWS also provides educational and outreach opportunities to build and deploy observation platforms for training purposes. Currently, 3D-PAWS sensors currently measure pressure, temperature, relative, humidity, wind speed, wind direction, precipitation, and visible/infrared/UV light. Future measurements will include soil, stream, and air quality monitoring solutions.

Impact-based forecasting in decision support systems

Our impact-based forecasting initiative is an effort to develop decision support systems at national meteorological and hydrometeorological services that will provide information about the impact of a hydrometeorological hazard, or multi-hazards, to an individual or community at risk. In the case of both weather forecasts and warnings, the focus on what the weather will be will evolve to what the weather will do and how it will impact a community.

Implementation of emergency communication and satellite receiving stations

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Implementation of inexpensive cloud-based forecasting systems

Cloud computing offers significant opportunity to rapidly deploy early warning hazard prediction capabilities to least-developed nations at a modest cost and in ways that can be tailored specifically for the unique needs of the diverse communities throughout the region. This initiative has focused on using cloud computing services to implement a regional forecasting solution (e.g., Weather Research and Forecasting: WRF) as an adaptable, on-demand, reliable forecast system for early warning and decision support system applications. The cloud-based forecast system is ideal for stakeholders looking for low-cost solutions without maintaining a high-performance computing system.