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region (5˚S to 5˚N; 120˚W to 170˚W) often used to monitor El Niño/La Niña development), and predominantly cool anomalies in the Main Development Region (shown boxed – 10˚N to 20˚N; 20˚W to 60˚W) in the tropical North Atlantic. The GloSea-predicted temporal evolution of tropical Pacific SST anomalies

in the tropical Pacific Niño3.4 region (5°S–5°N, 120°W–170°W). Predicted positive anomalies in the Niño.3.4 region indicated the development of El Niño type conditions, and this was supported by international consensus, co-ordinated by the World Meteorological Organisation (WMO). El Niño conditions and below

., Streit, A., Theis, F. and Götz, M., 2023. Reporting electricity consumption is essential for sustainable AI. Nature Machine Intelligence, 5(11), pp.1176-1178.     Elsworth, C., Huang, K., Patterson, D., Schneider, I., Sedivy, R., Goodman, S., Townsend, B., Ranganathan, P., Dean, J., Vahdat, A. and Gomes

in the grid box (e.g. at the top of the BL). Achieves good performance without the need for EACF. Diagnostic cloud fraction. • Prognostic cloud, prognostic condensate (PC2) – developed in the late 90’s/early 00’s. Cloud fraction is a prognostic which allows increments to be made to it from other schemes

”. Organisation classification - The final selection is Organisation Classification section, although the list can change depending what the procuring organisation(s) have chosen to ask for. This is a mandatory section which must be populated. This is the section where the supplier can indicate

has been using data over Europe from thousands of aircraft each day to improve weather forecasts. This data, known as Mode-S EHS, includes information such as wind speed, temperature, and aircraft position, which is collected during flights. Originally used for air traffic control, this data has

throughout the process. The key monitoring mechanism developed was the County Meteorological Office (CMO)’s monthly reporting template. Reflexive learning was supported through project partner review meetings, to which key stakeholder organisations were invited. Iterative, looped learning was supported

: azimuthal averaged rainfall rate 3. Large scale environment Fig. 1: 850 hPa wind vectors (m/s) and vorticity (1/sec) (shaded) from the ERA5 reanalyses at 20 UTC on 18 January 2024 4. TC-Kirrily: Intensity and track forecasts The large-scale flow was typical of the Australasian monsoon. On 18 January

of exposure with no shelter. Price - “the cost of access” ‣ Costs of access are not just £’s but can be fear of exposure and lack of shelter, lack of equipment, lack of time, lack of confidence. Product - “activities within green spaces” ‣ Structured activities that increase confidence were

the 1850-1900 global average, according to the HadCRUT5 temperature series, collated by the Met Office, the University of East Anglia and the National Centre for Atmospheric Science. 2024 is therefore the warmest year on record and is likely the first calendar year exceeding 1.5°C. 2023’s value of 1.46°C