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: 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

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

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

, the Met Office 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

. 145. https://doi.org/10.1002/qj.3501 [2] Adams SV, Ford RW, Hambley M, Hobson JM, Kavčič I, Maynard CM, Melvin T, Müller EH, Mullerworth S, Porter AR, Rezny M, Shipway BJ and Wong R  (2019): LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models. Journal

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

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

of Physics, University of Oxford, Oxford, United Kingdom; F. E. L. Otto—Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom; S. Wilson and R. G. Jones—Met Office Hadley Centre, Exeter, United Kingdom; M. R. Allen—Atmospheric, Oceanic

be received no later than Friday 30 th September 2022 11am BST. OFFICIAL 4 OFFICIAL The following table sets out the two-stage application timeline in more detail. Activity Date(s) Stage 1: Concept Call launch 5 th September 2022 Concept Call Deadline Friday 30 th September 2022 Evaluation of Concepts