The NOAA Earth Information System (NEIS) is a framework of layered services designed to help the discovery, access, understanding, and visualization of data from the past, present, and future. The goal is to ingest "big data" and convert that information into efficient formats for real-time visualization, providing a tool for everything NOAA does and the people NOAA affects.
The High Impact Weather Prediction Project (HIWPP) is looking to improve the United States' operational global numerical weather prediction systems. In the next two years we seek to improve our hydrostatic-scale global modeling systems and demonstrate their skill. In parallel, we will accelerate the development and evaluation of higher-resolution, cloud-resolving (non-hydrostatic) global modeling systems that could make a quantum leap forward in our nation’s forecast skill, targeting 2020 and beyond.
Sensing Hazards with Operational Unmanned Technology (SHOUT) is a project to quantify the influence of UAS environmental data to high impact weather prediction and assess the operational effectiveness of UAS to help mitigate the risk of satellite observing gaps. Through a partnership with NASA, NOAA will conduct missions using advanced UAS for prototype data collection. These targeted observations from aircraft in oceanic regions can significantly improve how well weather models forecast significant meteorological events such as tropical storms, winter storms and major floods.