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and predicted for 2023 relative to the preceding year, vs. 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

: Richardson, K., Doherty, A., Osborne, R., Mayhew, L., Lewis, K., Jobbins, G., Fox, C., Griffith, H. and El Taraboulsi-McCarthy, S. (2021) Climate Risk Report for the Middle East and North Africa region: Supplementary Document: Appendices, Met Office, ODI, FCDO. age 0 of 22 Appendix A: Methods

Experiments 4.3.2.1 Model validation 7 Before using RCM models to investigate the future climate scenario, it is necessary to evaluate how well models represent the present climate. There are different options to validate the appropriateness of a model (s) to simulate local climate. In this research two

Ocean (Figure 3). Figure 3. Annual CO2 growth rate for years 1960 to 2023 and predicted for 2024 relative to the preceding year, vs. 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

, coproduced and accessible weather and climate services to inform regional, national, sub-national and community level policy, planning and decisionmaking in Africa 12 plans and policies where weather and climate information is better used 875,000 HH using new or improved climate services s 22

Workshop takes place, but s a result of COVID-19 restrictions, these were moved to virtual events since March 2020. Using Microsoft Teams, the UM Users virtual workshop consisted of live plenary sessions and breakouts groups spread over four half days covering key areas of the UM Partnership, namely

@metoffice.gov.uk This report should be cited as: Kendon, M., McCarthy, M., Jevrejeva, S. and Legg, T. (2017): State of the UK Climate 2016, Met Office, Exeter, UK. This work was supported by the Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme (GA01101). 4 Executive Summary Land

be cited as: Carter, S., Steynor, A., Vincent, K., Visman, E., and Waagsaether, K. (2019) ‘Co-production of African weather and climate services’. Second edition. Manual, Cape Town: Future Climate for Africa and Weather and Climate Information Services for Africa (https://futureclimateafrica.org

. 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

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