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<p class="MsoNormal"><span style="color:#4472C4">Dear Colleagues<o:p></o:p></span></p>
<p class="MsoNormal"><span style="color:#4472C4"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;color:black">AOGS ST14 in Singapore will focus on a very exciting topic:<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#333333;background:white">Space Weather Forecasts: Methods, Issues and Future Development</span><span style="font-size:22.0pt"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;color:black">Abstracts are due February 12, 2019<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:13.5pt;color:black">The session is described and links to the relevant AOGS pages are provided at the bottom of this announcement.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="color:black">* Dr Larry Paxton (The Johns Hopkins University Applied Physics Laboratory, United States)<span class="apple-converted-space"> </span><a href="mailto:larry.paxton@jhuapl.edu"><span style="color:#954F72">larry.paxton@jhuapl.edu</span></a><br>
Dr Tzu-Wei Fang (University of Colorado at Boulder, United States)<span class="apple-converted-space"> </span><a href="mailto:tzu-wei.fang@noaa.gov"><span style="color:#954F72">tzu-wei.fang@noaa.gov</span></a><br>
Dr Yongliang Zhang (The Johns Hopkins University Applied Physics Laboratory, United States)<span class="apple-converted-space"> </span><a href="mailto:yongliang.zhang@jhuapl.edu"><span style="color:#954F72">yongliang.zhang@jhuapl.edu</span></a></span><o:p></o:p></p>
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<p class="MsoNormal"><span style="color:black">“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. With a significant increase in the number of measurements and improvement in modeling, it is the time to review our progress and 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.”</span><o:p></o:p></p>
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<span style="font-size:13.5pt;color:black">The AOGS website is:<o:p></o:p></span></p>
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<span style="font-size:13.5pt;color:black"><a href="http://www.asiaoceania.org/aogs2019/public.asp?page=home.htm"><span style="color:black">http://www.asiaoceania.org/aogs2019/public.asp?page=home.htm</span></a><o:p></o:p></span></p>
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<span style="font-size:13.5pt;color:black">abstract submission is<span class="apple-converted-space"> </span><o:p></o:p></span></p>
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<span style="font-size:13.5pt;color:black"><a href="http://www.asiaoceania.org/aogs2019/public.asp?page=abstract.htm"><span style="color:black">http://www.asiaoceania.org/aogs2019/public.asp?page=abstract.htm</span></a><o:p></o:p></span></p>
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<span style="font-size:13.5pt;color:black">The abstracts are due soon… Feb 12.<o:p></o:p></span></p>
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