ACADEMIC
2020-02-21 19:24:09.0 [sritz] update Definition (Millersville University is one of eight institutions participating in a recently funded National Science Foundation - Large Information Technology Research (ITR) Collaborative project called Linked Environments for Atmospheric Discovery (LEAD). This $11.25M, 5-year initiative also includes scientists and engineers from the University of Oklahoma, Colorado State University, University of Alabama-Huntsville, University of Illinois Urbana-Champaign, Indiana University, Howard University, and the University Corporation for Atmospheric Research - Unidata. LEADs mission is to enable an integrated, scalable framework for use in accessing, preparing, assimilating, predicting, managing, mining/analyzing, and displaying a broad array of meteorological and related information, independent of format and physical location. In practical terms, this project will dramatically impact the capability to provide timely warnings of severe weather events by developing the dynamics computing and networking infrastructure required for on-demand detection, simulation and prediction of high impact local weather such as thunderstorms, squall lines, lake-effect snows, and other mesoscale events. A transforming element of LEAD is the dynamic workflow orchestration, which will allow the use of analysis tools, forecast models, and data repositories not in fixed configurations or as static recipients of data, as is now the case, but rather as dynamically adaptive, on-demand systems that can a) change configuration rapidly and automatically in response to the weather; b) continually be steered by new data; c) respond to decision-driven inputs from users; d) initiate other processes automatically; and e) steer remote observing technologies to optimize data collection for the problem at hand. Website: https://www.millersville.edu/esci/meteorology [Summary provided by Millersville University]); update Definition (https://www.millersville.edu/esci/meteorology); update Resource (provider); update Resource (https://www.millersville.edu/esci/meteorology);
Millersville University is one of eight institutions participating in a recently funded National Science Foundation - Large Information Technology Research (ITR) Collaborative project called Linked Environments for Atmospheric Discovery (LEAD). This $11.25M, 5-year initiative also includes scientists and engineers from the University of Oklahoma, Colorado State University, University of Alabama-Huntsville, University of Illinois Urbana-Champaign, Indiana University, Howard University, and the University Corporation for Atmospheric Research - Unidata. LEADs mission is to enable an integrated, scalable framework for use in accessing, preparing, assimilating, predicting, managing, mining/analyzing, and displaying a broad array of meteorological and related information, independent of format and physical location. In practical terms, this project will dramatically impact the capability to provide timely warnings of severe weather events by developing the dynamics computing and networking infrastructure required for on-demand detection, simulation and prediction of high impact local weather such as thunderstorms, squall lines, lake-effect snows, and other mesoscale events. A transforming element of LEAD is the dynamic workflow orchestration, which will allow the use of analysis tools, forecast models, and data repositories not in fixed configurations or as static recipients of data, as is now the case, but rather as dynamically adaptive, on-demand systems that can a) change configuration rapidly and automatically in response to the weather; b) continually be steered by new data; c) respond to decision-driven inputs from users; d) initiate other processes automatically; and e) steer remote observing technologies to optimize data collection for the problem at hand. Website: https://www.millersville.edu/esci/meteorology [Summary provided by Millersville University]
MILLERSV/METEO