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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: 2.95 m/s Root Mean Square Error
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: 2.92 m/s Root Mean Square
(ubar DJF) Changes in standard deviation (1.5mT DJF) Changes in standard deviation (MSLP DJF) Comparison of change in mean bias (MSLP DJF mean) If we had more years by running an ensemble, how big should it be? Change in DJF zm u telecon to SPV (m/s per m/s) Conclusions from variance/teleconnection
2021 (0900UTC 18th to 0900UTC 21st). The table below lists rainfall totals at selected stations from storm Christoph. Station Rainfall total 18 to 20 January (mm) January 1981- 2010 long-term average (mm) % of average Derwent Bridge, County Durham 86.6 75.3 115 Worleston S Wks, Cheshire 61.2 54.2
Notes Number Title Author Year 110 Requirements for regional climate projections for the UK marine sector R. Renshaw, Y. Artioli, B. Berx, L. Bricheno, J. Graham, J. Robson, L.A. Rutterford, D.N. Schmidt, S. Wakelin 2025 109 Comparison between climate change projections from the UKCP land scenarios
and customer requirements, aimed at mitigating against disruptive weather events. Emma was promoted again in 2017, becoming Met Office NATS Operations manager. External recognition Emma obtained a Qualification and Credit Framework (QCF) Level 5 Diploma in Meteorological Forecasting in 2012. She also holds the World Meteorological Organization (WMO)’s Aeronautical Meteorological Forecasters (AMF) accreditation.
McSweeney et al. (2015). Maps show monsoon circulation in 850 hPa flow for JJA for observations from ERA40 and a selection of CMIP5 models. Categories from the assessment are given in brackets for the CMIP5 models: IP – implausible, SB – significant biases, B – biases, S – satisfactory They find
. The only factors affecting ET O are weather parameters i.e., temperature, wind speed, relative humidity and sunshine hours. The FAO Penman- Monteith equation is suggested as the single method for determining ET O . ET o 900 0.408��R n � G� � � U 2 ( e mm / day� � T � 273 � � � (1 � 0.34U ) � 2 s � e
://doi.org/10.1007/s00382-022- 06403-0 Hollis, D, McCarthy, MP, Kendon, M, Legg, T, Simpson, I. HadUK-Grid—A new UK dataset of gridded climate observations. Geosci Data J. 2019; 6: 151– 159. https://doi.org/10.1002/gdj3.78 Kendon, M., McCarthy, M., Jevrejeva, S., Matthews, A., Williams, J., Sparks, T
, D, McCarthy, MP, Kendon, M, Legg, T, Simpson, I. HadUK-Grid—A new UK dataset of gridded climate observations. Geosci Data J. 2019; 6: 151– 159. https://doi.org/10.1002/gdj3.78 Kendon, M., McCarthy, M., Jevrejeva, S., Matthews, A., Williams, J., Sparks, T., & West, F. (2023). State of the UK Climate
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