Climatology and Climate Change in Athena Simulations Project Athena Team ECMWF, June 7, 2010.

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Presentation transcript:

Climatology and Climate Change in Athena Simulations Project Athena Team ECMWF, June 7, 2010

Qualitative to Quantitative: Beyond Animations Athena Catalog – 8 NICAM (7 km) Boreal summer cases – 9 IFS T2047 (10 km) Boreal summer cases – 20 IFS T month hindcasts – 48 IFS 13-month hindcasts at T1279 (16 km), T511 (40 km), T159 (128 km) – 47 year IFS AMIP runs at T1279, T159 – 47 year IFS timeslice runs at T1279, T159 – Multiple ensemble members for select seasons at T1279, T511, T159 Sufficient data for quantitative, climatological analysis

10km: IFS T2047 JJA Mean Rainfall at native resolution (8 seasons)

7km: NICAM JJA Mean Rainfall at native resolution (8 seasons)

40 km: Chen et al. 0.5 degree JJA Mean Rainfall (8 seasons)

25 km: TRMM JJA Mean Rainfall (8 seasons)

128 km: IFS T159 JJA Mean Rainfall native resolution (8 seasons)

LARGE BIASES REMAIN

Diurnal Cycle of Precipitation Large variations between models Standard GCM is locked to the sun SP-CCSM captures some aspects of DC. Hi-res IFS gets N. Plains right for wrong reason, locks to sun over SE US. NICAM is noisy, but does best job of capturing diurnal cycle structure.

Low Level Jet Low-level jet is a critical component of Great Plains maximum All higher resolution models are reasonably accurate Dynamics do not explain differences in phase and amplitude Suggests representation of convection is responsible

Atmosphere-Ocean Interactions Modest improvement with resolution All data at T159

Clear improvement in representing interannual variability

AMIP and Timelice Experiments AMIP Experiment – , observed boundary conditions Timeslice Experiment – SST/Sea ice anomaly added to AMIP boundary conditions – Anomaly taken from CCSM3.0 2xCO 2 IPCC integration – Same length of integration, ‘ ’ – Annual means analyzed here Large seasonal variations in forcing anomaly New ice-free regions during DJF

Annual Mean Time Slice Forcing (CMIP3 CCSM3 2xCO2 - Control

Annual Mean Time Slice Forcing (CMIP3 CCSM3 2xCO2 - Control

Annual Mean Time Slice Forcing (CMIP3 CCSM3 2xCO2 - Control

Annual Mean Time Slice Forcing (CMIP3 CCSM3 2xCO2 - Control

Summary – Unique data set and analysis opportunities Small fraction at COLA Full catalog in archive at NICS Data to become available to the community – Impact of Resolution Orographic features clearly improved Diurnal cycle can be well-represented – Plateau in benefit of resolution with parameterized convection? – Some improvements seen with non-parameterized convection Large tropical biases remain – More than increased resolution needed

Summary (cont’d) – Impact of Resolution on Large Scales Improved blocking and synoptic statistics Atlantic air-sea coupling – Climate Change Increased warming seen over Europe with higher resolution Dramatically improved representation of orographic precipitation, snow depth Sensitivity to choice of forcing anomaly?