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for the global latitude-longitude grid used in Numerical Weather Prediction [Buckeridge & Scheichl, 2010]. The key idea is to use conditional coarsening in the N-S direction while increasing the mesh spacing uniformly in the E-W direction.  The Figure below shows an example of a semi-coarsened mesh. Using

the WISER brand, please email us. Current WISER Opportunities The Met Office is currently seeking consultancy support for the scoping phase of the WISER programme. WISER MEL Consultant The Met Office is seeking to appoint a Consultant(s) with necessary international development and MEL experience

://www.metoffice.gov.uk/pub/data/weather/uk/ukcp18/science-reports/UKCP18- Derived-Projections-of-Future-Climate-over-the-UK.pdf Lowe JA, Bernie D, Bett PE, Bricheno L, Brown S, Calvert D, Clark RT, Eagle KE, Edwards T, Fosser G, Fung F, Gohar L, Good P, Gregory J, Harris GR, Howard T, Kaye N, Kendon EJ

Representation of uncertainty P r o c e s s e s Marine processes Earth system processes Verification Data Curation Component models Systems Data workflow Use case work packages 1. Component models Component models 2. System co-design 3. System integration Systems Data workflow Separation of Concerns Co

equates to FL340), over the Northern Hemisphere (90N-20N). The graphs below display the accuracy of these two forecasts, with the smaller the error being a better value forecast to airline operators. Performance measure: ≤ 2.85m/s for Wind and ≤ 0.56K for Temperature (based on 12-month mean values

the Northern Hemisphere (90N-20N). The graphs below display the accuracy of these two forecasts, with the smaller the error being a better value forecast to airline operators. Performance measure: ≤ 2.85m/s for Wind and ≤ 0.56K for Temperature (based on 12-month mean values) Root Mean Square Vector

., Morton, D., Giglio, L., Chen, Y., van der Werf, G., Kasibhatla, P., DeFries, R., Collatz, G., Hantson, S., Kloster, S., Bachelet, D., Forrest, M., Lasslop, G., Li, F., Mangeon, S., Melton, J., Yue, C., Randerson, J. (2017): A human-driven decline in global burned area, Science, 356, 1356-1361

the Northern Hemisphere (90N-20N). The graphs below display the accuracy of these two forecasts, with the smaller the error being a better value forecast to airline operators. Performance measure: ≤ 2.85m/s for Wind and ≤ 0.56K for Temperature (based on 12-month mean values) Root Mean Square Vector Error 4.00

), over the Northern Hemisphere (90N-20N). The graphs below display the accuracy of these two forecasts, with the smaller the error being a better value forecast to airline operators. Performance measure: ≤ 2.85m/s for Wind and ≤ 0.56K for Temperature (based on 12-month mean values) Root Mean Square

value forecast to airline operators. Performance measure: ≤ 2.85m/s for Wind and ≤ 0.56K for Temperature (based on 12-month mean values) Root Mean Square Vector Error 4.00 3.80 3.60 3.40 3.20 3.00 2.80 Northern Hemisphere T+24 Wind (m/s) at 250hPa Monthly Rolling 12-month mean Target Latest value