Deliverable No. 7.4 Training Plan

This training plan describes the components of and the plans for education activities included in WP7 of APPLICATE. To optimize the efforts the training plan has been prepared at the beginning of the project, outlining not only the activities itself, but plans for their implementation as well as the...

Full description

Bibliographic Details
Main Author: Fugmann, Gerlis
Format: Text
Language:English
Published: Zenodo 2017
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3569325
https://zenodo.org/record/3569325
Description
Summary:This training plan describes the components of and the plans for education activities included in WP7 of APPLICATE. To optimize the efforts the training plan has been prepared at the beginning of the project, outlining not only the activities itself, but plans for their implementation as well as the expected risks and interdependencies. The major training activities planned include (1) a webinar series on the APPLICATE project and on impact of Arctic changes on the weather and climate of the Northern hemisphere, (2) a summer school planned for 2018 on polar prediction with instruction in both modeling and observational methods, (3) an online course entitled „Advancing predictive capacity of Northern Hemisphere weather and climate.“ This document provides details on both the planned activities themselves and the approach by which they will be accomplished. The webinar series will be run in fall 2017 and will serve as an introduction for the APPLICATE project to the early career polar science community. The summer school will be based on a previously-run school organized by the Year of Polar Prediction. It will take place at Abisko Station, Sweden in April of 2018. The school will be organized by a project manager based at UiT, with help from APPLICATE members, other partners and APECS volunteers. Finally, the online course will be run in the winter to spring of 2019 to train early career researchers and prepare them for careers in Northern Hemisphere prediction science.