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• 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

• indian_heatwave_2022pdf

  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-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-2022pdf

  (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

• 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

• 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

• 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-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

• met-office_classroom-presentation_forecastingfactbusters_secondary_final.pdf

  Forecasting fact-busters Age range: 11-14 How can we make and communicate predictions about weather? www.metoffice.gov.uk | 2 © Crown Copyright 2019, Met Office Case study: To name or not to name a storm? This weekend was forecast to be wet and windy and the Met Office issued yellow wind and rain

• africa-climate-outlook---march-2024.pdf

  * Normal* Normal* Ghana Hot Mixed (2) Mixed (2) Normal Normal Normal Nigeria Hot Hot (3) Mixed (2) Normal Normal Normal Cameroon Hot Hot Normal 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