HErZ Symposium: Future of weather prediction: Developments and Challenges across scales
Тезисы до: 23.07.2018
Даты: 08.10.18 — 12.10.18
Область наук: Географические;
Е-мейл Оргкомитета: email@example.com
Организаторы: Hans-Ertel Centre for Weather Research
Fundamental research addressing the challenges of weather forecasting is required in order to steadily improve the quality of weather forecasts and climate monitoring. Challenges are manifold and cut across several fields, as different as atmospheric, computer and communication related sciences. The potential for such research to be translated into advances relevant for society is increased significantly if carried out in collaboration with national meteorological and hydrometeorological services. With this purpose the Hans-Ertel Centre for Weather Research (HErZ; www.dwd.de/ertel-zentrum) has been investing resources in fundamental research activities since 2011, covering a broad range of the meteorological aspects: Atmospheric physics and dynamics, Predictability, Data assimilation, Climate monitoring and diagnostics, Optimal use of information from weather forecasting and climate monitoring for the benefit of society.
The Hans-Ertel Centre for Weather Research invite contributions to a symposium dedicated to the Future of weather prediction. The goal of the symposium is to discuss cutting edge development related to weather forecasts, from basic research on atmospheric processes, new modeling and new observational strategies, to communication to society. Presentations will be complemented by keynote presentations reflecting on the future of weather forecasts. Submission of ongoing research work that help addressing the following questions is encouraged:
How will a numerical weather forecast look like in 20 years (session 1)?
New observing networks: How will future observing networks look like (session 2)?
The race to high resolution: How to quantify and reduce uncertainties in the representation of processes in numerical models relevant to the improvement of predictive skill (session 3)?
How to combine and include information from novel and numerous observing systems with numerical weather forecast models and reanalyze systems? From satellites to car sensors, dense and coarse information (session 4).
How can risk information (uncertainty and potential impacts) support decision making for diverse users, from emergency services, to public or private enterprises (session 5)?
The number of participants is limited; a selection will be made, if necessary, based on abstracts.