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Comparisons between GERB and the Met Office NWP model. Richard Allan, Tony Slingo Environmental Systems Science Centre, University of Reading Sean Milton, Malcolm Brooks Met Office, Exeter. Thanks to the GERB International Science Team. GERB Model.
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Comparisons between GERB and the Met Office NWP model Richard Allan, Tony Slingo Environmental Systems Science Centre, University of Reading Sean Milton, Malcolm Brooks Met Office, Exeter Thanks to the GERB International Science Team
GERB Model Sinergee project: www.nerc-essc.ac.uk/~rpa/GERB/gerb.html Harries et al. (2005) BAMS; Allan et al. (2005) JGR
Objectives • Improve experience with satellite datasets including GERB • Timely Model Evaluation • using geostationary data independent of the assimilation system • Understanding of physical processes
All-sky Clear-sky Mean model bias: 2006 Shortwave Longwave Allan et al. (2007) QJRMS
All-sky Clear-sky Radiative biases in the Met Office global model Convective outflow Shortwave Longwave Surface albedo Convective cloud Marine stratocumulus
All-sky Clear-sky Mineral dust aerosol Shortwave Longwave
Dust impact on longwave radiation Model minus GERB OLR: July 2006, 12-18 UTC • Large perturbation to Met Office model OLR during summer over west Sahara • Consistent with high mineral dust aerosol optical depth (see also Haywood et al. 2005, JGR) • Used in planning of GERBILS All-sky Clear-sky dust aerosol
Model-GERB OLR difference time series 15oW-5oE, 15-30oN 1800 1200 1200 CLEAR 2003 2004 2005 2006 2007
Dust impact on longwave radiation Model minus GERB OLR: 12-18 UTC June 18-28 2007 July 2006 All-sky Clear-sky dust aerosol
19 June 2007 1800 1500 1200
21 June 2007 1800 1500 1200
Conclusions • Model evaluation • Satellite data independent of assimilation system • Good feedback for modellers and satellite team • Identified biases relating to cloud and surface • Mineral dust aerosol over Sahara • Monthly longwave radiative effect up to 50 Wm-2 • Large effect of single events (Slingo et al. 2006, GRL) • June 18-28 2007: smaller dust events than previous years but detectable OLR bias
Curious banding structure • Transition across model levels (see Lock et al. 2001, MWR) • Cloud reflectivity bias • Model low-altitude stratiform clouds are too reflective
Cloud liquid water path Bias: model minus GERB; SSM/I; SEVIRI Albedo Liquid Water Path Cloud Reduction in model bias from June to July 2006 - relates to cloud liquid water …but see also Horvath and Davies (2007) JGR
Convective cloud 5th June 2006
Convective Decay Time-scale • Unrealistically low levels of convective cloud • On-off; common problem in models • Simple fix…
Increased convective cloud cover • But is the physics any better? • Future work: Comparisons with CloudSat