Operational forecasting is transitioning towards impact-based forecast and warning services (IBFWS) following the guidelines developed by the World Meteorological Organization (WMO). In partnership with National Weather Service (NWS), COMET has extended the NWS Weather Ready Nation impact-based program to support National Meteorological and Hydrological Services in adapting IBFWS technology and training for their countries. COMET is contributing to this effort through a variety of initiatives.

COMET develops custom training for international hydrometeorological personnel using locally-relevant weather data tools. COMET is also exploring cloud computing systems for National Meteorological and Hydrological Services to establish their own regional forecast system or for quick response configuration to support pre- or post- forecasts for pre-planning or post-recovery of high impact hydrometeorological events.

The 3D-Printed Automatic Weather Station (3D-PAWS) is a low-cost, low-maintenance surface weather station that measures temperature, pressure, relative humidity, wind speed, wind direction, precipitation, and visible/infrared/UV light. A 3D-PAWS can be manufactured in about a week using locally sourced materials, microsensor technology, low-cost single board computers, and a 3D printer.

Based on the needs of our learners, COMET designers use a diverse collection of learning techniques. This includes, scenario-based learning, adaptive learning, gamification, blended learning, micro-learning, direct instruction, peer instruction and mixed reality. We also offer our users just-in-time feedback to accelerate learner growth.

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Low-cost, low-maintenance observation networks.

Low-cost,

low-maintenance observation networks