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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

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

(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

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

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

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

Flash droughts Flash droughts develop rapidly and have led to severe impacts around the world in recent years, such as the droughts over central USA in 2012 which caused billions of dollars of economic losses; those in southern China in 2013 that affected 2 million hectares of crops in the Guizhou

of the event. Figure 1: A probability chart produced 18 hours ahead, showing a high probability of the six-hour rainfall exceeding 20 mm in northern England Case study 2 Another example of a high-impact forecast, where forecasters were helped by the use of ensembles, was for new year celebrations

Lying at 0900 UTC 01 8.8 1 -0.5 1 0 0 02 3.2 -0.7 1 0 0 03 0.8 2.8 0 0 04 4.4 0.1 0 0 05 9.8 1 1.5 - 0 06 9.4 1 5.0 0 0 07 0.2 2.1 0 0 08 1.1 -0.8 1 3 1 09 0.9 -0.7 1 4 1 10 0.2 -1.9 1 4 1 11 0.0 -4.1 1 2 1 12 0.0 -4.2 1 0 0 13 tr -2.9 1 0 0 14 2.8 -1.6 1 0 0 15 0.8 0.4 0 0 16 0.2 3.9 0 0 17 0.2 3.8

Customer Supplier Agreement For the provision of the UK Public Weather Service 2024-2029 Date agreement comes into effect: 1 st April 2024 Met Office Ref No: L6999 1 SECTION 2: PWS PERFORMANCE MEASURES, DELIVERABLES, SERVICES AND REPORTING FOR 2024-29 Contents SECTION 2: PWS PERFORMANCE MEASURES