Blended Learning Makes Customizable Learning a Reality

There is no single best, one-size-fits-all blended learning model for every organization or every employee when developing soft skills in the workplace. Instead, a ‘mass customization’ approach that honours the uniqueness of different organizations, learning cultures, and learners can create highly personalized learning paths that enable each and every employee to learn. In this way, blended learning strategies can be used to maximize personal and collective learning in the workplace.York's Knowledge Mobilization Unit provides services and funding for faculty, graduate students, and community organizations seeking to maximize the impact of academic research and expertise on public policy, social programming, and professional practice. It is supported by SSHRC and CIHR grants, and by the Office of the Vice-President Research & Innovation. [email protected] www.researchimpact.c

Nocturnal convective initiation during PECAN 2015

Nocturnal convection initiation (NCI) is more difficult to anticipate and forecast than daytime convection initiation (CI). A major component of the Plains Elevated Convection at Night (PECAN) field campaign in the U.S. Great Plains was to intensively sample NCI and its near environment. In this article, we summarize NCI types observed during PECAN: 1 June–16 July 2015. These NCI types, classified using PECAN radar composites, are associated with 1) frontal overrunning, 2) the low-level jet (LLJ), 3) a preexisting mesoscale convective system (MCS), 4) a bore or density current, and 5) a nocturnal atmosphere lacking a clearly observed forcing mechanism (pristine). An example and description of each of these different types of PECAN NCI events are presented. The University of Oklahoma real-time 4-km Weather Research and Forecasting (WRF) Model ensemble forecast runs illustrate that the above categories having larger-scale organization (e.g., NCI associated with frontal overrunning and NCI near a preexisting MCS) were better forecasted than pristine. Based on current knowledge and data from PECAN, conceptual models summarizing key environmental features are presented and physical processes underlying the development of each of these different types of NCI events are discussed.This article is published as Weckwerth, Tammy M., John Hanesiak, James W. Wilson, Stanley B. Trier, Samuel K. Degelia, William A. Gallus Jr, Rita D. Roberts, and Xuguang Wang. "Nocturnal convection initiation during PECAN 2015." Bulletin of the American Meteorological Society 100, no. 11 (2019): 2223-2239. DOI: 10.1175/BAMS-D-18-0299.1. </p