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influencing methane profiles in the free troposphere many days and 100’s of km away from the intrusion (b) orographic and other processes associated with complex flow not captured in the transport model (c) errors or biases in the background field and (d) transient emissions not captured in the estimated

://seftonmaps.sefton.gov.uk/NewSeftonMaps/ Sheffield City Council Solihull Borough Council St Helens Borough Council Stockport Borough Council Sunderland City Council Tameside Borough Council Trafford Borough Council Wakefield City Council Walsall Borough Council Wigan Borough Council Wirral Borough Council

1.5 5.5 0.8 33.7 50 119.4 130 20.4 5.6 5.3 -3.7 England & Wales 8.9 1.2 4.4 2.8 6.6 2.0 41.9 55 119.4 162 19.4 7.8 2.7 -6.9 England N 7.5 0.4 3.4 2.3 5.4 1.4 36.2 48 103.9 134 18.5 6.6 4.0 -6.5 England S 9.8 1.6 5.0 3.2 7.4 2.4 46.6 59 117.1 196 19.1 8.4 1.7 -7.3 Scotland N 5.6 -0.1 0.7 0.6 3.2 0.3

. (2014, 2015) CHIRPS v2 is a quasi-global (50°S - 50°N) gridded dataset derived from: (i) the monthly precipitation climatology product CHPClim (based on satellite and gauge data); (ii) quasiglobal geostationary thermal infrared satellite observations from the Climate Prediction Center (CPC, Janowiak et

that they are going to have a go at interpreting some climate model outputs from a climate model like the one used to create the future forecast in the video. These outputs come from the UK Climate Projections. They will examine some maps of how our climate might change by the end of the 21 st century. These maps

of Change Step 1. Analyse the context & discuss the need(s) your project aims to address Following these steps will show how your project ‘unfolds’ to create the changes and impact it wants to support. By the end of these steps, you will have developed a ToC map and narrative (as shown in this 'How

and distributed by aviso, with support from cnes. http://www.aviso.altimetry.fr/duacs/, 2014. M. J. Best, M. Pryor, D. B. Clark, G. G. Rooney, R .L. H. Essery, C. B. Ménard, J. M. Edwards, M. A. Hendry, A. Porson, N. Gedney, L. M. Mercado, S. Sitch, E. Blyth, O. Boucher, P. M. Cox, C. S. B. Grimmond, and R. J

/wiser The views expressed in this publication are the sole responsibility of the author(s) and do not necessarily reflect the views of FCDO or the Met Office, UK. Images: I-stock; Robert Powell, Paul Watkiss. Citation. Watkiss, P. and Cimato, F. (2022). How to Note 1: Commissioning Socioeconomic Benefit

. These changes are calculated from the population data in the 'middle of the road' socio-economic scenario (SSP2), used throughout the poster. References Dankers, R., Arnell, N. W., Clark, D. B., Falloon, P. D., Fekete, B. M., Gosling, S. N., Heinke, J., Kim, H., Masaki, Y., Satoh, Y., Stacke, T., Wada, Y

resolution data source or human intervention. It was suggested that the Met Office could use or link to other National Met Service (NMS)’s local data or forecasts where that was more accurate than the global site product, but it was recognised that this approach introduced inconsistencies across countries