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Explore the latest findings and advancements in climate research using the HiGEM model. Discover insights into tropical cyclones, precipitation intensity, and more with increasing resolution. Dive deep into the impact of varying resolutions on climate phenomena such as El Niño and ocean-atmosphere coupling. Uncover the mysteries of sea surface temperature improvements and the future implications of climate change scenarios. Join us on a journey through the HiGEM model's treasure trove of climate data!
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UJCC-HiGEM: what is in the treasure chest ? P.L. Vidale*, M. Roberts+, L. Shaffrey*, W. Norton and J. Slingo * A. Clayton, M.-E. Demory, J. Donners, I. Stevens, D. Stevens *NCAS-Climate, Walker Institute, University of Reading, UK +UKMO Hadley Centre
Atmosphere-only integrations: the role of resolution • Matrix of AMIP2-SST forced integrations with increasing resolution: • 25 yrs current climate, completed, climatologies at BADC: • Tropical cyclones (PLV) • Precipitation intensity and frequency, runoff (M-E Demory) • + Land surface processes (PLV+MED) • Mid-latitude storm tracks (Jen Catto, L. Shaffrey) • Blocking (MJR, J. Catto) • Dust and radiation (@1.2, M.W.) • 25 yrs Delta-SST (+4K, -2K), completed, climatologies at BADC • Tropical cyclones (PLV) • In course: 25-yrs HiGEM-SST -> forcing N216 and N96 • Planned in late 2008: Reynolds SSTs (0.25 deg., daily) -> forcing N216 and N96 • Main results: • TCs more intense at higher resolution • Upper quantiles of precipitation appear at high resolution • Quality of runoff improves with resolution • Better Atlantic storm tracks at high-res. • Blocking at high-resolution ? • Changes in TC impacts in warmer world ? ∆x = 135 km ∆x = 90 km ∆x = 60 km Flux coupler Completed in 2007 1o - 1/3o ocean model 1/3o ocean model
Had-Hi-NUGAM, MIROC, ECHAM: 100 most intense Tropical Cyclones in 25 yrs Hurricane Mitch 200hPa 200hPa 200hPa 500hPa 500hPa 500hPa 850hPa 850hPa 850hPa 135km resolution 60km HadGAM-HiGAM-NUGAM tangential wind
Matrix of coupled models, with increasing resolution (1.1 and 1.2 formulation): • Data: • Science • TIWs in tropical Pacific: MJR (long-term impacts on climate), J.H. (nature of phenomenon) • El Niño: MJR (process and teleconnections in ocean); E-T response to ENSO (UEA) • SST bias improvement and its temporal evolution (D. Stevens) • TCs (only recently started) • MJO (in course) • Mid-latitude storms (J.C. + L.S) • Coastal upwelling (J.D.) • Ocean-atmosphere coupling (D.S. + A.W. + MJR) • Agulhas (S.S.) Coupled simulations in current climate ∆x = 135 km ∆x = 90 km ∆x = 60 km Flux coupler Completed in 2007 1o - 1/3o ocean model 1/3o ocean model
Main results from coupled work • El Niño works in HiGEM ! (MJR draft paper) • Frequency characteristics, termination mechanism • Wind stress curl - ocean mixing (DS + A. Dawson, MJR) • Origination mechanism ? • TIWs (MJR, JH papers) • move heat meridionally • Ocean-Atmosphere interaction (JH, LS’s main paper) • Pacific SSTs improved overall (why ?) • Atmospheric variability: improved storm tracks in the Atlantic • Wind stress curl and coastal upwelling (JD, DS) • Improvements in Agulhas retroflection (SS, HC)
Tropical instability waves • Resolved in HiGEM, poorly resolved in HadGEM; • Responsible for meridional heat transport in the tropical Pacific • Invoked for explaining improved mean state in that region of the ocean, important for El Niño • See papers by M. Roberts and J. Harle
Niño3 monthly anomaly spectra: dependence on resolution The low-resolution GCM shows max. power at the wrong frequency. Why ?
Coupled HiGEM simulations with +2% CO2/year • Data: • HiGEM1.1 transient currently reached 4xCO2 (~70yrs) • Stabilised and run for 30 years at 2 and 4x CO2 (starting now) • Science: • Ocean heat uptake • What do tropical cyclones look like at 2-4x CO2 *** ? • ENSO • Sea-ice • Precipitation extremes *** • What happens in the upwelling regions ? Suppressed upwelling -> nutrient limitations -> biological deserts ? *** Require ensemble High and dry. The least biologically productive regions of the ocean -the subtropical gyres (darkest blue)- are getting bigger. Jeffrey Polovina of the U.S. National Marine Fisheries Service in Honolulu, GRL, 2008 Climate change ∆x = 135 km ∆x = 90 km ∆x = 60 km Flux coupler Completed in 2007 1o - 1/3o ocean model 1/3o ocean model
Submitted proposals regarding HiGEM • VOCALS (T. Toniazzo) • Polar lows (K. Hodges) • Decadal variability (Rowan Sutton’s NERC post-doc) • NCEO: HiGEM-NUGEM model-to-satellite simulators (ISCCP-Calypso-CloudSat-EarthCARE), under the aegis of CFMIP-II; • Exploring a consortium to study weather and climate extremes (with Edinburgh, Oxford)
Gaps in science • WWBs -> ENSO • Ocean heat uptake • mixed layer • overturning and heat transport • Sea ice • Precipitation excess, latent heat, radiation • MJO • Initialisation (ocean and sea-ice) • Vertical mixing in the ocean (1.1 vs. 1.2) • Regionalisation of impacts
Other activities • Nature and impacts of tropical cyclones: • Multi-scale model intercomparison with Japanese groups (PLV, JS) • Development of TC proxies for low-res GCMs (JS, PLV) • Willis cat modelling (J. Strachan) • Ocean Physics developments (Ian Stevens) • 1%/yr CO2 transient simulation ? • SSTs and Indian monsoon teleconnections in N216 AMIP (G. Martin) • NAO in HiGEM_1.1 (A. Scaife, S. Keeley) • Seasonal prediction (S. Keeley) • Coupling of tropical convection and precip (G. Yang) • MJO (P. Inness)
Outlook for HiGEM1-NUGEM • Priority areas: • Ocean-atmosphere (e.g. TC-ocean interaction) • Climate change • Ensembles • Regionalisation of impacts • We will need to base decisions on: • UJCC+HiGEM science • HadGEM3 configuration • Practice in other climate modelling groups • HECToR / Earth Simulator 2 / Reading BG resources Building HiGEM2
Progression of UK Climate Models UKMO NWP resolution until end of 2006 J. Slingo/PLV Atmospheric component resolution costs: physics costs not included ∆x = 270 km ∆x = 135 km ∆x = 90 km ∆x = 60 km Model built for Earth Simulator work 1000s years Runs on a PC 10s years Requires major supercomputer Resolution increase = more CPU / shorter simulation