<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SIOD |</title><link>https://yu-cheng.co/tags/siod/</link><atom:link href="https://yu-cheng.co/tags/siod/index.xml" rel="self" type="application/rss+xml"/><description>SIOD</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 04 Jul 2016 17:07:00 +0000</lastBuildDate><image><url>https://yu-cheng.co/media/icon_hu_87a968e0c4fc153c.png</url><title>SIOD</title><link>https://yu-cheng.co/tags/siod/</link></image><item><title>Agulhas Group meeting notes, 2016-06-29</title><link>https://yu-cheng.co/blog/meeting_note_0629/</link><pubDate>Mon, 04 Jul 2016 17:07:00 +0000</pubDate><guid>https://yu-cheng.co/blog/meeting_note_0629/</guid><description>&lt;p&gt;
&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What scientific questions are the authors addressing?&lt;/strong&gt;&lt;br&gt;
How the phase of the SIOD and therefore the SST anomaly expression of the Indian Ocean, modulates the Southern Africa precipitation response to ENSO?&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What methods do the authors use to address the questions?&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;SA Land area bound by the region 15S-35S; 12.5E-42.5E&lt;/li&gt;
&lt;li&gt;Observation: Global Precipitation Climatology Project version 2.2 (GPCP) 1979 to 2014, 2.5 x 2.5 deg resolution. Hadley-NOAA Optimum Interpolation dataset (OISST) 1.0x1.0 deg&lt;/li&gt;
&lt;li&gt;Three SST modes and their indices: ENSO (Nino3.4 &amp;gt;0.5K, table 2), IOD, Subtropical-IOD (Fig. 1)&lt;/li&gt;
&lt;li&gt;Two experiments: (1) Forced by observed global SST (2) Forced by the leading pattern of glabal time-varying monthly SST anomaly added to the monthly climatology, to isolate the atmospheric response to ENSO. (EOF1, Fig. 4)&lt;/li&gt;
&lt;li&gt;Each experiment has two sets of ensembles from two different models:(1) 30 members of ECHAM5.4, 50 members of GFS2, on 1x1 deg horizonal grid.&lt;/li&gt;
&lt;li&gt;Test whether the SIOD modifies the relationship between SA precipitation and ENSO through an examination of SA precipitation as a function of SIOD phase in two forced simulations.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What are the authors&amp;rsquo; main conclusions?&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;El Niño is associated with reduced precipitation in the Southern Africa, and La Niña tends to occur with abundant precipitation in the area. Both are further enhanced by out-of-phase SIOD, and disrupted by in-phase SIOD.&lt;/li&gt;
&lt;li&gt;For the in-phase SIOD and ENSO during December-March, SA precipitation is associated with an SST anomaly over the &lt;em&gt;Agulhas Current region.&lt;/em&gt;&lt;/li&gt;
&lt;li&gt;ENSO is related to an equivalent barotropic Rossby wave over Southern Africa, that modifies the regional mid-tropospheric vertical motions and precipitation.&lt;/li&gt;
&lt;li&gt;The EOF1 forced case, either phase of SIOD does not modulate the SA precipitation response to ENSO (indistinguishable Fig. 10 and 11)&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;What are the implications of the results?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;ENSO has been an important parameter for rainy season SA precipitation prediction, as SST playing a critical role in the regional climate. The modulation relationship between SIOD and ENSO presented here can help to make more informed forecasts.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why did you choose this paper?&lt;/strong&gt;
looking into papers about South African precipitation variability.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Who read this paper?&lt;/strong&gt;
Yu Cheng&lt;/p&gt;</description></item></channel></rss>