CEDAR email: Call for abstracts for 2019 AOGS ST-14 (Space Weather Forecasts: Methods, Issues and Future Development)

Tzu-Wei Fang - NOAA Affiliate tzu-wei.fang at noaa.gov
Wed Jan 16 18:35:32 MST 2019

Dear Colleagues, 

We would like to invite you to submit abstracts to ST-14 session of the 2019 Asia Oceania Geosciences Society (AOGS) in Singapore during July 28 - Aug 2, 2019. The abstract submission is due on Feb 12, 2019. 
ST14 Space Weather Forecasts: Methods, Issues and Future Development
Prediction of space weather such as the state of the ionosphere, thermosphere, magnetosphere, solar wind and solar radiation over time scales from seconds to days or months in the solar system, especially in near-Earth geospace, is crucial for safe operation of space-based facilities and human space travel. Much progress has been made over the past decade in forecast methods, such as physics based, empirical and assimilation modeling as well as machine learning. Ensemble modeling, which has been in use for terrestrial weather and climate modeling, is beginning to be applied to space weather predictions. Each method has its advantages and disadvantages. One persistent obstacle to our ability to predict is that we are unable to forecast the magnitude and direction of the solar wind magnetic field before it arrives at L1 where we have sensors. We also note that forcing from the stratosphere and troposphere also creates thermospheric and ionospheric ‘space weather’. With a significant increase in the number of measurements and improvement in modeling, it is the time to review our progress and address issues (such as the maximum predicable time scales) in space weather forecasting. What instruments do we need? What new measurement, modeling and analysis techniques can we use? We need to determine the future direction for our community’s efforts in predicting space weather.  We welcome your contribution to this very broad topic.

Larry Paxton (Johns Hopkins University/APL)
Yongliang Zhang (Johns Hopkins University/APL)
Tzu-Wei Fang (CU-Boulder/NOAA-SWPC)
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