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a clean air future for everyone! What could you do? What action(s) could you take? Make a clean air promise! www.metoffice.gov.uk | 32 © Crown Copyright 2024, Met Office My clean air future school and clean air communications Working independently, in pairs or small groups, use the worksheets to help you

of receipt of your submission will be sent to all applicants whose application is received before the deadline. Indicative Timetable: Activity Date(s) Application documents issued 2 July 2025 Application submission deadline 8 August 2025 (11am UTC) Met Office evaluation process. w/c 11 and 18 August 2025

January 2021 <https://news.un.org/en/story/2020/09/1073052> 3. NBSC (2018). Annual data by province. National Bureau of Statistics of China, accessed 7 December 2020, http:// www.stats.gov.cn/ english/. 4. Huang, J. and Rozelle, S. (2009). Agricultural Development and Nutrition: the Policies behind

), but not distributed externally. Internal data volumes are difficult to estimate but are in excess of 100's Terabytes/day.  Challenges impacting the release of data  Data Volumes  Data volumes will continue to grow rapidly, typically doubling every 18 months as the resolution of weather models increases

for International Development, has provided one of the funding streams to ENACTS-Tanzania. 3 Thomson, M., A. Owusu, S. Thawer (forthcoming, 2019). ‘Developing climate services for malaria surveillance and control in Tanzania’ in WISER co-production manual. 4 Thomson, M. et al (forthcoming, 2019). 5 http

://docs.scipy.org/doc/scipy/ reference/generated/scipy.stats.gaussian_kde.html. The standard normal density function is assumed for the kernel, and the bandwidth is specified using Scott’s Rule, which for univariate data is specified by sn -1/5 , where s is the sample deviation of the sample data

version falls within the stated 95% confidence limits of the old version much more than 95% of the time. 26. Why do the data differ from those released by CRU? Station data to be released by CRU are for the latitude zone 30°N to 40°S and relate to a version of the data as of January 2009. Corrections to the CRUTEM3 station dataset were made by the Met Office in January 2010 (in conjunction with CRU) and were reported at the time.

Output Results were checked by comparison with existing 1961-1990 averages calculated using similar methods in the 1990’s. This was done for stations averages, and for areal averages based on the gridded datasets. These comparisons showed a good general agreement in the values, with a very small

4 4 Wind gusts (wsgmax10m) m/s 4 hourly 3- hourly Wind speed (sfcWind) m/s 4 4 4 hourly 3- hourly 4 Wind speed eastwards/ northwards (uas/vas) m/s 4 4 4 4 Soil moisture stress factor (beta) 4 (Global domain only) 4† (European domain only) Water evaporation flux (evspsbl) mm/ day 4 (Global domain

References Corazza, M., P. Bergamaschi, A. T. Vermeulen, T. Aalto, L. Haszpra, F. Meinhardt, S. O'Doherty, R. Thompson, J. Moncrieff, E. Popa, M. Steinbacher, A. Jordan, E. J. Dlugokencky, C. Brühl, M. Krol, and F. Dentener, Inverse modelling of European N 2 O emissions: Assimilating observations from