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<p class="MsoNormal" style="text-align:right" align="right"><b><span style="font-size:14.0pt"> </span></b></p>
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<p class="MsoNormal" style="text-align:center" align="center"><b><span style="font-size:36.0pt;font-family:"Cambria","serif";color:#6c3fb5">JCSDA
Seminar</span></b></p>
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<p class="MsoNormal" style="text-align:right" align="right"><b><span style="font-size:14.0pt">Title</span></b></p>
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<p class="MsoNormal"><b><span style="font-size:18.0pt">Ensemble-Based Variational Assimilation Method to Incorporate
Microwave Imager Data into a Cloud-Resolving Model </span></b><b><span style="font-size:18.0pt"></span></b></p>
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<p class="MsoNormal" style="text-align:right" align="right"><b><span style="font-size:14.0pt">Speaker</span></b></p>
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<p class="MsoNormal"><b><span style="font-size:16.0pt">Kazumasa Aonashi</span></b><b><span style="font-size:16.0pt"> <br>
</span></b><b><span style="font-size:16.0pt">Meteorological Research Institute<br>
Japan</span></b><b><span style="font-size:16.0pt">
Meteorological Agency</span></b></p>
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<p class="MsoNormal" style="text-align:right" align="right"><b><span style="font-size:14.0pt">Date, Time & Place</span></b></p>
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<p class="MsoNormal"><b><span style="font-size:16.0pt">Wednesday, January
18, 2012<br>
</span><span style="color:red">2:00 – 3:00 PM, </span></b><span style="font-size:11.0pt">World Weather Building, <b><span style="color:red">Room 707</span></b>, 5200 Auth Road, Camp
Springs, MD 20746</span></p>
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<p class="MsoNormal" style="text-align:right" align="right"><b><span style="font-size:14.0pt">Abstract</span></b></p>
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<p class="MsoNormal" style="margin-left:.1pt"><span style="font-size:10.5pt;font-family:"Arial","sans-serif"">The goal of the
present study is to develop a method to assimilate Microwave Imager (MWI)
brightness temperatures (TBs) into Cloud-Resolving Models (CRMs). To address
the non-linear relationship of TBs to the state variables of CRM and the
flow-dependency of the CRM forecast error covariance, we adopted an Ensemble-based
variational data assimilation method (EnVA). In this presentation, I will
report our recent studies on the following problems in EnVA: </span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial","sans-serif"">1)
<span> </span>Large-scale displacement errors of
rainy areas between the observations and the CRM forecasts;</span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial","sans-serif"">2)
<span> </span>Serious sampling errors of
cloud-physical variables because they were confined to rainy areas.</span></p>
<p class="MsoNormal"><span style="font-size:10.5pt;font-family:"Arial","sans-serif"">In
order to solve the displacement error problem, we developed the EnVA that used
Ensemble forecasts with displacement error correction. In order to alleviate
the sampling error, we are introducing the following ideas to the EnVA:</span></p>
<p class="MsoNormal" style="margin-left:.25in"><span style="font-size:10.5pt;font-family:"Arial","sans-serif""><span>1)<span style="font:7.0pt "Times New Roman"">
</span></span></span><span style="font-size:10.5pt;font-family:"Arial","sans-serif"">Use of ensemble forecasts at neighboring grid points; </span><span style="font-size:10.0pt;font-family:"Arial","sans-serif""></span></p>
<p class="MsoNormal" style="margin-left:.25in;text-autospace:none"><span style="font-size:10.5pt"><span>2)<span style="font:7.0pt "Times New Roman""> </span></span></span><span style="font-size:10.5pt;font-family:"Arial","sans-serif"">Classification of CRM variables and assumption of zero
cross correlation between different classes.</span><span style="font-size:10.0pt"></span></p>
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<p class="MsoNormal" style="text-align:right" align="right"><b><span style="font-size:14.0pt">Remote Access</span></b></p>
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<p class="MsoNormal"><b><span style="font-size:11.0pt;font-family:"Arial","sans-serif"">Video:</span></b><span style="font-size:11.0pt;font-family:"Arial","sans-serif""> 1.</span> <span style="font-size:11.0pt;font-family:"Arial","sans-serif"">Go to </span><a href="https://star-nesdis-noaa.webex.com/mw0305l/mywebex/default.do?siteurl=star-nesdis-noaa" target="_blank"><span style="font-size:11.0pt;font-family:"Arial","sans-serif"">JCSDA Seminar</span></a> and click on
the seminar title<span style="font-size:10.0pt;font-family:"Arial","sans-serif""><br>
</span><span style="font-size:11.0pt;font-family:"Arial","sans-serif"">2. Enter your
name and email address. <br>
3. Enter the meeting password: JCSDAseminars707<br>
4. Click "Join Now". <br>
5. Follow the instructions that appear on your screen. <br>
<b>Audio: </b>USA
participants: <a href="tel:1-866-715-2479" value="+18667152479" target="_blank">1-866-715-2479</a>, Passcode: 9457557<br>
International:
<a href="tel:1-517-345-5260" value="+15173455260" target="_blank">1-517-345-5260</a></span><span style="font-family:"Arial","sans-serif""></span></p>
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<p class="MsoNormal" style="text-align:right" align="right"><b><span style="font-size:14.0pt">Contact</span></b></p>
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<p class="MsoNormal">If you would like to
present a seminar contact <a href="mailto:George.Ohring@noaa.gov" target="_blank">George.Ohring@noaa.gov</a></p>
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<p class="MsoNormal" style="text-align:right" align="right"><b><span style="font-size:14.0pt">Seminar Files</span></b></p>
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<p class="MsoNormal">Slides available the day
before and audio recording the day after the presentation at <a href="http://www.jcsda.noaa.gov/JCSDASeminars.php" target="_blank">http://www.jcsda.noaa.gov/JCSDASeminars.php</a>
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