<div dir="ltr"><br><div class="gmail_quote"><br><div dir="ltr"><div style="font-size:12.8px"><b>This is a Joint Colloquium between the Computational Science Research Center and the Department of Mathematics and Statistics.</b></div><b style="font-size:12.8px"><div><b style="font-size:12.8px"><br></b></div>DATE</b><span style="font-size:12.8px">: Friday, March 18th, 2016</span><b style="font-size:12.8px"><br><br></b><div style="font-size:12.8px"><b style="font-size:12.8px">TITLE</b><span style="font-size:12.8px">: </span> <span style="font-size:12.8px">Observation and Modelling of Cloud, Convection, and Radiation using Remote Sensing and In Situ Observations for Coupled Climate System</span></div><div style="font-size:12.8px"><br style="font-size:12.8px"><b style="font-size:12.8px">TIME</b><span style="font-size:12.8px">: </span><span style="font-size:12.8px">3:30 PM</span><br style="font-size:12.8px"><br style="font-size:12.8px"><b style="font-size:12.8px">LOCATION</b><span style="font-size:12.8px">: GMCS 214</span><br style="font-size:12.8px"><br style="font-size:12.8px"><b style="font-size:12.8px">SPEAKER</b><span style="font-size:12.8px">: Dr. Jui-Lin (Frank) Li. </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">Jet Propulsion Laboratory, California Institute of Technology,</span></div><div style="font-size:12.8px"><br style="font-size:12.8px"><b style="font-size:12.8px">ABSTRACT</b><span style="font-size:12.8px">: </span><font face="arial, helvetica, sans-serif">Representing clouds, convection and radiation and their complicated interactions in </font><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">global weather forecast and climate models remains a pressing challenge in reducing and </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">quantifying uncertainties in the simulations of coupled climate system (atmosphere-land-ocean-</span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">sea ice-land ice). This task is crucial for improving future climate projection (e.g. under global </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">warming). </span></div><div style="font-size:12.8px"><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif"><br></span></div><div style="font-size:12.8px"><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">In this talk, we will first present the uncertainties using some examples of </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">observationally-based model evaluation including model simulated surface air temperature </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">(SAT) from recent Intergovernmental Panel on Climate Change (IPCC) climate model </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">simulations and satellite-observed cloud water, radiation, water vapor, sea ice, land surface </span><span style="font-family:arial,helvetica,sans-serif;font-size:12.8px">temperature from various NASA satellite missions (e.g., CloudSat-CALIPSO/MODIS, </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">CERES/CloudSat-CALIPSO, AIRS/SSMI, and SSM/I). We will then discuss the gaps between </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">available observations and model representations and the biases on the coupled Earth climate </span><span style="font-size:12.8px;font-family:arial,helvetica,sans-serif">system and conclude the talk with suggested future work.</span></div><div style="font-size:12.8px"><span style="font-size:12.8px"><br></span></div><div style="font-size:12.8px"><b style="font-size:12.8px">HOST</b><span style="font-size:12.8px">: Dr. Bo-Wen Shen.</span></div></div>
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