<div dir="ltr"><div><div>Dear Mike,<br><br></div>apologies, the Africlim resolution is not 1 arc-second but 30 arc-seconds (approx. 926 meters at equator). Still the most high-resolution climate projections dataset available for Africa. For more info, apart from the excellent website see also: Platts PJ, Omeny PA, Marchant R (2015). AFRICLIM: high-resolution 
climate projections for ecological applications in Africa. African 
Journal of Ecology 53, 103-108<br><br></div><div>For rainfall datasets, I also recommend CHIRPS (Climate Hazards Group InfraRed Precipitation with Station data). It is a 30+ year quasi-global rainfall dataset.Spanning 50°S - 50°N (and all longitudes), starting in 1981 to 
near-present, CHIRPS incorporates 0.05° resolution satellite imagery 
with in-situ station data to create gridded rainfall time series for 
trend analysis and seasonal drought monitoring. <br><br>CHIRPS homepage<br>   <a href="http://chg.geog.ucsb.edu/data/chirps">http://chg.geog.ucsb.edu/data/chirps</a><br>   <br>   CHIRPS data<br>   <a href="ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/">ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CHIRPS-2.0/</a><br><br>   CHIRPS FAQ <br>   <a href="http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ">http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ</a><br><br>   CHIRPS paper<br>   <a href="http://pubs.usgs.gov/ds/832/">http://pubs.usgs.gov/ds/832/</a><br><br></div><div>Then, of course, the old reliable WORLDCLIM datasets for temperature data and much more, global grids with resolution of 30 arc-seconds also. Current conditions include data from 1950s to 2000.<br><br>Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005.
 Very high resolution interpolated climate surfaces for global land 
areas. International Journal of Climatology 25: 1965-1978.<br><br><a href="http://www.worldclim.org/current">http://www.worldclim.org/current</a><br><a href="http://www.worldclim.org/methods">http://www.worldclim.org/methods</a><br><a href="http://www.worldclim.org/formats">http://www.worldclim.org/formats</a><br></div><div><br></div><div>BR <br><br></div>Pekka<br><div><br><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Oct 22, 2015 at 11:51 PM, Mike Shand via TZGISUG <span dir="ltr"><<a href="mailto:tzgisug@lists.habari.co.tz" target="_blank">tzgisug@lists.habari.co.tz</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
  
    
  
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    <div>Dear Pekka and Edwin,<br>
      <br>
      Ashante sana, positive leads, exactly what this list is good at.<br>
      <br>
      We have a large interdisciplinary research project at the
      University of Glasgow (<a href="http://livestocklivelihoodsandhealth.org/" target="_blank">Livestock,
        Livelihoods and Health</a>) studying Zoonoses in Northern
      Tanzania and one of our researchers wishes to create some GIS
      tools for predictive disease risk mapping.<br>
      <br>
      We will certainly check out the Africlim data, especially the
      original sources for the raw data.  I reckon 1 arc second is
      around 30m at the equator which is a compatible resolution to the
      Land Cover and DTM data we propose to use.  Having access to raw
      times series climate data from TMA would allow us to undertake
      some modelling for our risk mapping proposals in combination with
      the zoonoses data we are collecting through our extensive
      fieldwork programme.<br>
      <br>
      Regards,<br>
      Mike<span class=""><br>
      <div>On 22/10/2015 21:15, Edwin Mugerezi
        wrote:<br>
      </div>
      </span><blockquote type="cite">
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              <td valign="top"><span class="">Dear Mike,
                <div>My
                  office is on same building with TMA. I will forward
                  your request to the authority.</div>
                </span><div><span class="">Edwin
                  Mugerezi, Info Bridge.<br>
                  <br>
                  <p><a href="https://overview.mail.yahoo.com/mobile/?.src=Android" target="_blank">Sent
                      from Yahoo Mail on Android</a></p>
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                          <div style="font-family:Roboto,sans-serif;color:rgb(126,125,128)"><b>From</b>:"Pekka
                            Hurskainen via TZGISUG"
                            <a href="mailto:tzgisug@lists.habari.co.tz" target="_blank"><tzgisug@lists.habari.co.tz></a><br>
                            <b>Date</b>:Thu, 22 Oct, 2015 at 22:33<br>
                            <b>Subject</b>:Re: [TZGISUG] Tanzania
                            Climate Data for GIS<br>
                            <br>
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                          </span><div><div class="h5"><div dir="ltr">
                            <div>Dear Mike,<br clear="none">
                              <br clear="none">
                            </div>
                            <div>For raster datasets, have you looked at
                              Africlim dataset by University of York? It
                              covers the whole Africa at 1 arc-second
                              resolution.<br clear="none">
                            </div>
                            <div>It includes monthly grids of
                              temperature and rainfall, and derived
                              bioclimatic summary variables such as
                              moisture indices and dry season length.
                              There are both baseline grids (current
                              conditions) and projected grids for future
                              conditions under different climate
                              scenarios (RCPs). <br clear="none">
                              <br clear="none">
                            </div>
                            <div>See <a rel="nofollow" shape="rect" href="https://www.york.ac.uk/environment/research/kite/resources/#tab-1" target="_blank">https://www.york.ac.uk/environment/research/kite/resources/#tab-1</a><br clear="none">
                              <br clear="none">
                            </div>
                            <div>BR<br clear="none">
                              <br clear="none">
                            </div>
                            <div>Pekka Hurskainen<br clear="none">
                            </div>
                            <div>University of Helsinki<br clear="none">
                            </div>
                            <div class="gmail_extra"><br clear="none">
                              <div class="gmail_quote">On Thu, Oct 22,
                                2015 at 9:45 PM, Mike Shand via TZGISUG
                                <span dir="ltr"><<a rel="nofollow" shape="rect"></a><a href="mailto:tzgisug@lists.habari.co.tz" target="_blank">tzgisug@lists.habari.co.tz</a>></span>
                                wrote:<br clear="none">
                                <blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">Dear
                                  All,<br clear="none">
                                  <br clear="none">
                                  Does anyone in this group have
                                  experience accessing or using raw
                                  climate datasets from the Tanzania
                                  Meteorological Agency (TMA). ?<br clear="none">
                                  <br clear="none">
                                  I know from published reports that the
                                  TMA have collected climate data daily
                                  over the last 25 years.<br clear="none">
                                  <br clear="none">
                                  In particular can anyone supply
                                  information on the following:<br clear="none">
                                  1. Name and GPS Location of all
                                  stations collecting climate data daily
                                  or monthly ?<br clear="none">
                                  2. Availability of GIS readable
                                  spreadsheets containing rainfall and
                                  temperature data over the past 25
                                  years.<br clear="none">
                                  3. Availability of recent vector
                                  isolines in shapefile or gdb format
                                  for rainfall and temperature.<br clear="none">
                                  4. Raster data at resolutions better
                                  than 1km pixels for rainfall and
                                  temperature (TMA shows 4km pixels on
                                  their MapRoom website).<br clear="none">
                                  <br clear="none">
                                  Regards,<br clear="none">
                                  Mike Shand<br clear="none">
                                  University of Glasgow<br clear="none">
_______________________________________<br clear="none">
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