MOGREPS developments and TIGGE Richard Swinbank GIFS-TIGGE meeting March 2014 © Crown copyright Met Office.
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MOGREPS developments and TIGGE Richard Swinbank GIFS-TIGGE meeting March 2014 © Crown copyright Met Office MOGREPS domains 2013 2.2km grid Up to 36hr 6-hourly update Regional ensemble now stopped 33km grid Up to 72hr 6-hourly update © Crown copyright Met Office MOGREPS – The Met Office ensemble • The Met Office Global and Regional Ensemble Prediction System (MOGREPS) is designed to quantify the risks associated with high-impact weather and uncertainties in details of forecasts. • 12-member ensemble designed for short-range forecasting • Global ensemble run to T+72 at 00, 06, 12 and18 UTC. (N400 ~33 km grid, 70 levels) • UK ensemble run to T+36 at 03, 09, 15 and 21 UTC (2.2km, 70 levels ~40km lid) • Many probabilistic forecast products are based on a lagged pair of ensemble runs (24 members) • 24-member medium-range ensemble – MOGREPS-15 • Global ensemble run to T+360 at 00 and 12 UTC, (N216 ~60km grid, 85 levels) • Archived in TIGGE dataset Global Ensemble strategy • Met Office strategy is to focus on producing forecasts for week 1 with our own MetUM NWP system, and.. • Use ECMWF as primary source of forecasts at week 2-4, in combination with GloSea (our coupled seasonal prediction system) and using multi-model ensemble techniques. • MOGREPS-G will be extended and MOGREPS-15 will be retired. • (It was decided not to implement the earlier proposal to merge MOGREPS-15 and GloSea.) Changes affecting TIGGE • At parallel suite 34 (implementation approx. June 2014): • MOGREPS-G and MOGREPS-15 will switch to use improved ENDGAME dynamical core. • Extend MOGREPS-G (N400 / 33km) to 7+days (T+174) • MOGREPS-G will supply TIGGE archive • (NB. We may not be able to produce the full set of current fields, since the method to produce the GRIB2 data feed will change.) • In about a year MOGREPS-15 will be retired • Once post-processing has been switched to use MOGREPS-G, ECMWF ENS, etc. Thank-you any questions…? © Crown copyright Met Office