CALMet XV 2023
主题目录
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-Encouraging Creative Ways of Learning and Working Together-
In today's ever-evolving landscape of meteorology and education, the CALMet Conference continues to be a beacon of excellence. We are delighted to announce that the CALMet XV Conference is hosted by the German Weather Service this year, and we have adapted to the dynamic times by transitioning to a fully virtual platform.
This year, we extend a warm invitation to join us as we explore the latest trends and practices that are shaping the field of meteorological training and professional development. Our conference's focus revolves around a variety of timely and relevant themes:
Supporting Satellite Meteorology Training: Discover the latest in satellite meteorology training and how it impacts weather forecasting and climate monitoring.
Inspiration for Training Sessions: Gain insight into how to invigorate training sessions and inspire the meteorological experts of tomorrow.
Fostering Collaboration with Communities: Learn the art of engaging with communities and stakeholders to create more effective training programs.
Supporting Training for Meteorological Professionals: Delve into the tools and strategies that drive the continuous improvement of meteorological professionals.
Supporting the Training for Other Professionals and the Public: Explore how meteorological knowledge can be effectively disseminated to professionals outside the field and the broader public.
Educational Tools: Experiences, Best Practices, and Lessons Learned: Discover the latest educational tools, best practices, and the invaluable lessons learned in the world of meteorological education.
Artificial Intelligence (AI) in Training and Professional Development: Uncover the potential of AI in enhancing meteorological training and professional development.
Join us for CALMet XV as we embrace the forefront of meteorological education, share knowledge, and build a sense of community. Together, we are charting the course for the future of meteorological training and professional development.
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Here you can find all the recordings of the two Sessions Supporting Training for Meteorological Professionals
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During our teaching experience in courses on Waves in the Atmosphere at the University of Buenos Aires, we have identified some difficulties in explaining —for teachers—, and assimilating —for students— the concept of Rossby waves dispersion.
We have developed a simple numerical model for teaching Rossby waves. This model not only helps teachers in explaining dispersion of these atmospheric waves, but also students have an interactive tool to help them understand the physics of these waves.
We will show a presentation with the LVRossby —and their different versions. The presentation will show the visualizing of the model, how students interact with it, and some of the results they obtain from the model that will be analyzed later. Also we will show some of our interpretations of results as professors.
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Welcome! Today, we're going to explore a technology called AWS NICE DCV and how it can enhance the learning experience for educators and students.
We will present why training in the cloud is useful in training and have 2 short labs in the cloud. The 1st is a short introduction to the AWS environment. The 2nd is a LINUX System Administration Lab in which you will make changes to a virtual LINUX computer.
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I will show you a successful experience in an aeronautical meteorology course where students visited the forecast office at Jorge Newbery Airport in Buenos Aires, Argentina. This course was in the first semester of 2022. I was the lab professor and the students learned about airplane characteristics and atmospheric phenomena that affect aviation such as fog, ice formation, and turbulence, among others.
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This contribution is a self-paced eLearning module delivered on the Bureau of Meteorology's Moodle-based LMS. The module was built using the Rise 360 authoring tool within the Articulate 360 suite.
This module, Synoptic Scale Systems, is one of a series of ten online modules within the Bureau of Meteorology's Introduction to Meteorology course. This course is offered to all Bureau staff, including non-technical staff, to enhance their weather knowledge as well as to provide an understanding of the Bureau's role in providing weather services in Australia. Our Graduate Diploma and BIP-M course participants are required to complete the course when they commence with us to ensure they have a common baseline understanding of our products and services. The course is also available to fee-paying customers with a professional or general interest in meteorology.
You can access the eLearning module here: Introduction to Meteorology - Synoptic Scale Systems
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This contribution is a self-paced module delivered on the Bureau of Meteorology's Moodle-based LMS. The course is a demonstration of the use of Articulate 360 authoring tools along with core Moodle resources and activities.
This course introduces the basic concepts, structure and scientific basis behind Numerical Weather Prediction models, and how their output is used in the forecast process. It covers the broad WMO Basic Instruction Package-Meteorology (BIP-M) learning outcomes required in the field of numerical weather prediction.
The course includes two novel interactive exercises, (1) an on-screen drawing tool, and (2) a Jupyter Notebook coding activity. Your feedback and suggested improvements to these activities are most welcome.
You can access the course here: Numerical Model Fundamentals
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I will introduce a 3-month online training program. In the training program for participants who graduated from non-meteorological majors,without meteorological knowledge, the teaching management team used information technology to carry out some creative work to help optimize the online training activities that lasted for 3 months and enhance the interactivity of online training.
The use of information technology has improved our work efficiency, strengthened network teaching monitoring and immediate support services, solidly promoted network teaching organization and management, optimized and formed a network training model of "pre-training survey + autonomous learning + live Q & A + interactive lectures + live video review + whole-process teaching support services + post-training evaluation", and also improved the quality and effectiveness of network.
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The paradigm shift proposed by impact-based forecasts is a communication challenge in itself, both for meteorological services and users. In order to carry it out, it is necessary to build capacities in the subject. This presentation describes briefly the training process on the subject implemented in the National Meteorological Service (NMS).
We go through a series of activities and actions that are part of the training plan to lay the foundations that enable a possible implementation of alerts based on impact in the future. The importance of collaborative and interdisciplinary work is highlighted, both nationally and internationally, as well as the development of a training plan sustained over time. It is expected that the experience can become a replicable precedent through the Regional Training Centers to build capacities in forecasts based on impacts in other countries of the region.
Do you have any other impact-based-forecast training experience or course to share? See you in the session and forum :-)
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We present the Agrometeorologist Training Course, which is a product of the collaboration and linkages developed among Philippine government agencies, including the Department of Science and Technology - PAGASA and the Department of Agriculture and the academe, particularly with the University of the Philippines – Los Baños, Laguna.
To provide you with a first-hand experience of the actual course, we prepared a virtual tour of our agency and some of the activities and output we have produced. Interact with us. Do share your own experiences and thoughts about our virtual tour presentation.
Lastly, we will present our insights on the opportunities and results of this course and how working together helped achieve the objectives of this training, during the live sessions.