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• africa-climate-outlook---july-2024pdf

  (1) Hot Normal (2) Very Dry Mixed Cameroon Hot Hot Hot Normal Very Dry Normal Notes: The table gives an assessment of whether temperature and rainfall across each country have been above normal, normal or below normal over the past three months, using data from the NOAA Climate Prediction Center

• PowerPoint Presentation

  in the west, normal elsewhere (2) Note: Very wet in north, normal in south (3) Note: Very wet in north, very dry in parts of the south. (4) Note: Wet in the northeast, dry in the southwest (5) Note: Very wet in far north, normal elsewhere (6) Note: Normal in the west, wet or very wet in the east (7

• PowerPoint Presentation

  September Sierra Leone Hot Hot Hot Very Wet Wet Normal Liberia Hot Hot Hot Normal Normal Normal Mali Hot Hot Hot Wet Wet Normal Ghana Hot Hot Hot Normal Wet Mixed (2) Nigeria Hot Hot Hot Mixed (1) Very Wet Mixed (3) Cameroon Hot Hot Hot Dry Normal Mixed (3) Notes: The table gives an assessment

• PowerPoint Presentation

  Africa: June to March Current Status 9 Current Status – Western Africa Current Status: Temperature Current Status: Rainfall June July August June July August Sierra Leone Hot Hot Hot Very Dry Normal Normal Liberia Warm Hot Hot Dry Normal Normal Mali Normal Normal (1) Hot Mixed (2) Mixed (4) Mixed (4

• wiser0192_tanzania_cx_cafe190719.pdf

  the gap between Tanzania Meteorological Agency (TMA) and end users of weather and climate information were discussed. At the end, participants learnt a lot about the importance of weather and climate information as an important planning tool. Figure: Participants during the climate cafe 2 2. 0

• indian_heatwave_2022.pdf

  temperature anomaly (relative to 1901-1930) in the reference region (62-86E; 23-31N) computed with observational data from CRUTEM5 (black line) and the CMIP6 ALL (red lines) and NAT (green lines) simulations. The models were evaluated against the observations (Fig. 2) by applying a number

• uk-2022-attribution.pdf

  (relative to 1901-1930) in the UK computed with observational data from HadUK-Grid (black line) and the CMIP6 ALL (red lines) and NAT (green lines) simulations. The models were evaluated against the observations (Fig. 2) by applying a number of evaluation tests commonly employed in event attribution

• wiser103_aspire_digitisation_qgisv3.4.pdf

  Earth (ne_50m_admin_countries.shp), available from https://www.naturalearthdata.com/downloads/50m-cultural-vectors/50madmin-0-countries-2/). Supported by: Fund Manager: Part 1: Georeferencer 1. Start a new project. 2. Go to Raster -> Georeferencer…. A new window should open. 3. File -> Open Raster

• uk-2022-attributionpdf

  (relative to 1901-1930) in the UK computed with observational data from HadUK-Grid (black line) and the CMIP6 ALL (red lines) and NAT (green lines) simulations. The models were evaluated against the observations (Fig. 2) by applying a number of evaluation tests commonly employed in event attribution

• an-attribution-study-of-the-uk-mean-temperature-in-year-2022.pdf

  (relative to 1901-1930) in the UK computed with observational data from HadUK-Grid (black line) and the CMIP6 ALL (red lines) and NAT (green lines) simulations. The models were evaluated against the observations (Fig. 2) by applying a number of evaluation tests commonly employed in event attribution