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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

– Fit Functions • Fit function for correlation coefficient ρ HV takes the form: with x = 1 - ρ HV . • Fit function of differential phase Φ DP takes the form: f x = a ⋅ s ⋅ x μ ⋅ e −λ with x = Φ DP - max Φ DP + 10° , where max Φ DP denotes distribution’s maximum, a is an amplitude factor, s a stretch

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

in the projected loss of ice from the Antarctic ice sheet (Figure 2a). These revised projections show good agreement with independent work carried out at the Met Office for UKCP18 5 . 1 Daangendorf, S. et al (2019), Nature Climate Change: Persistent acceleration in global sea-level rise since

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

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

., 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

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 3.80 3.60 3.40 3.20 3.00 2.80 Northern

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

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 3.80