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before application for climate monitoring. In addition time series of near-coast sea-surface temperature and sea-level rise are also presented. This report should be cited as: Kendon, M., McCarthy, M., and S. Jevrejeva (2015): State of the UK Climate 2014, Met Office, Exeter, UK. This work was supported

. Contributing authors: Harris, G., Brown, S., Lowe, J., McCarthy, M., Jevrejeva, S., Watts, G., Johns, D. and Bell, M. Report prepared for the Adaptation Sub-Committee of the Committee on Climate Change, London Use and interpretation of ‘extreme’ and ‘worst case’ climate scenarios in the UK 34

....................................................................................................................39 © Crown copyright 2021 Met Office Page 2 of 100 OFFICIAL 5.5 Limitation(s)………..............................................................................................................40 5.6 Recommendations

, -4.147 Automatic Church Lawford England 52.358, -1.33 Automatic Cippenham S Wks England 51.506, -0.641 Automatic Cirencester England 51.708, -1.994 Manual Coleshill England 52.48, -1.689 Automatic Coningsby England 53.094, -0.171 Automatic Copley England 54.624, -1.869 Manual Coton-in-the-elms

break 10:30-11:00) - Site visits to SAWS HQ, Bolepi House and SAA Technical (AMDAR Ground Receiving Station/s, NMHS, NWP, Aviation Forecasting, SAA Flight Operations units) o Demonstration of AMDAR-related systems and products in SAWS (SAWS Experts) o Demonstration of SAWS and SAA collaborations

, and it was provisionally the second sunniest February in the UK in a series from 1929, with only 2008 having been sunnier. The UK monthly extremes were as follows: A maximum temperature of 14.2 °C was recorded at Cardiff Bute Park (S Glamorgan) on the 19th. A minimum temperature of -11.7 °C was recorded at South

. the Niño3.4 index for April of the preceding year to March of the current year. The Niño3.4 index is the sea surface temperature (SST) anomaly in region 5°N to 5°S and 170°W to 120°W in the Pacific Ocean, de-trended to remove the effect of long-term warming.   For short periods such as individual years

to learn from the successes and challenges of each project that is implemented. Albert Mwanyasi interviews an elderly female pastoralist. Source: Diana Njeru 2019 ENDNOTES Carter, S., Steynor, A., Vincent, K., Visman, E. and Waagsaether, K. (2019) ‘Co-production in African weather and climate services

index for April of the preceding year to March of the current year. The Niño3.4 index is the sea surface temperature (SST) anomaly in region 5°N to 5°S and 170°W to 120°W in the Pacific Ocean, de-trended to remove the effect of longterm warming. This shows that for short periods such as individual

challenges presented by the use of the automatic code generation required by the DSL(s) and also the data workflow challenges presented by the ensemble system and cycling data assimilation. • An optimal strategy for the coupling of the component models together that minimises the data dependencies