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<p>My recommendation is to use actual recorded weather data whenever
possible. Even if the recorded data is not at the desired site,
that would be preferred to reanalysis data if the recorded data
are within 1 degree latitude and longitude. Why? Because
reanalysis data, which is what Weather Analytics provides (or used
to provide, as the case may be), are computer generated weather
data running a Climate Forecasting Model in retrospective mode*
that has a 1/2 degree grid. In other words, leaving aside the
question how well do reanalysis data match measured data (and the
samples I've seen can be all over the map...), even if the match
is perfect there's still the uncertainty of a grid value versus a
site-specific value.</p>
<p>Looking through the measured weather data available to me, there
is a station in Tororo (UGA_TORORO_636840) located 43 kilometers
directly south of Mbale that has 10 years of recorded data
(2005-2012, 2016-17 ). Data in some of the years are shaky, but
there's enough to make a decent "typical year" weather file.
Since I now also have satellite-derived solar for all of Africa
Feb. 2004 to date, that eliminates solar radiation as the biggest
technical concern about weather files. This means the resultant
weather file for Tororo will be quite reliable, with no need to
interpolate from other stations or rely on reanalysis data. <br>
</p>
<p>Please e-mail me for more details.</p>
<p>Joe<br>
</p>
<pre class="moz-signature" cols="90">Joe Huang
White Box Technologies, Inc.
346 Rheem Blvd., Suite 205A
Moraga CA 94556
<a class="moz-txt-link-abbreviated" href="mailto:yjhuang@whiteboxtechnologies.com">yjhuang@whiteboxtechnologies.com</a>
<a class="moz-txt-link-freetext" href="http://weather.whiteboxtechnologies.com">http://weather.whiteboxtechnologies.com</a> for simulation-ready weather data
(o) (925)388-0265
(c) (510)928-2683
"building energy simulations at your fingertips"
</pre>
<div class="moz-cite-prefix">On 4/9/2018 12:55 PM, Mili Kyropoulou
via Bldg-sim wrote:<br>
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<div>Hi Everyone,</div>
<div><br>
</div>
<div>I am trying to find a weather file for Mbale Uganda <span><span>and
was wondering what the best approach would be. </span></span></div>
<div><br>
</div>
<div>I know that Meteonorm can provide me with a weather file
that will be an interpolation of 6 locations. Specifically, <font
face="Calibri" color="#000000"><font
face="verdana,sans-serif"><font
face="arial,helvetica,sans-serif"><em>"Meteonorm
interpolates radiation with help of satellite
data (DWD CMSAF for this region) and temperature and
other parameters with help
of ground measurements. In case of Mbale it uses :
KISUMU (145 km), Eldoret <font face="Calibri"
color="#000000">(137 km), NAKURU (260 km), Meru (402
km), Nairobi/Jomo
Kenyatt (404 km), Garissa (630 km)"</font></em></font></font></font></div>
<div><em><font face="Calibri" color="#000000"><br>
</font></em></div>
<div style="margin:0in 0in 0pt"><font
face="arial,helvetica,sans-serif" color="#000000">I also
see that IES, that uses Weather Analytics, can provide data
for virtually any location, but they are not saying - or I
didn't find - how they calculate them.</font></div>
<div style="margin:0in 0in 0pt"><font color="#000000"><br>
</font></div>
<p style="margin:0in 0in 0pt"><font color="#000000">What would
you recommend as the best approach to that? </font></p>
<p style="margin:0in 0in 0pt"><font face="Calibri"
color="#000000"><br>
</font></p>
<p style="margin:0in 0in 0pt"><font
face="arial,helvetica,sans-serif" color="#000000">I
appreciate your input</font></p>
<p style="margin:0in 0in 0pt"><font
face="arial,helvetica,sans-serif" color="#000000"><br>
</font></p>
<p style="margin:0in 0in 0pt"><font
face="arial,helvetica,sans-serif" color="#000000">thanks </font></p>
<p style="margin:0in 0in 0pt"><font
face="arial,helvetica,sans-serif" color="#000000">Mili
Kyropoulou</font></p>
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