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Radar & lidar observations of clouds UWERN Cloud systems and Orography meeting

Radar & lidar observations of clouds UWERN Cloud systems and Orography meeting. Robin Hogan University of Reading, UK Current and future Chilbolton capabilities Cloud physics and model evaluation work at Chilbolton

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Radar & lidar observations of clouds UWERN Cloud systems and Orography meeting

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  1. Radar & lidar observations of cloudsUWERN Cloud systems and Orography meeting Robin Hogan University of Reading, UK • Current and future Chilbolton capabilities • Cloud physics and model evaluation work at Chilbolton • Global model evaluation and cloud radiative properties from A-train data (CloudSat, Calipso and Aqua)

  2. Radars Chilbolton capabilities Lidars Radiation, surface energy budget, aerosols, models, satellite…

  3. Cloud physics and model evaluation • Field campaigns and FAAM/Chilbolton experiments • Present & proposed NERC campaigns: CSIP, CWVC, ICEPIC, APPRAISE… • Met Office campaigns: CAESAR, MICROMIX, evaluation of 1, 4 km model • New capabilities at Chilbolton and FAAM will allow more detailed study of cloud physics & aerosol (e.g. APPRAISE, POL45), Sc dynamics (NERC Sc)… • Cloud physics work comparing radar to CRM • Detailed case studies have been performed with deep convection (Brown and Swann 1997), cirrus (Marsham and Dobbie 2005) and mixed-phase cloud (Clark et al. 2005, Marsham et al. 2006) • CRM still in need of detailed evaluation! Need to test new prognostic IN scheme, drizzle formation, simulation of cloud inhomogeneities etc. • Long-term evaluation of forecast models • In Cloudnet (EU FP5) led by Chilbolton/Reading, seven operational forecast models have been evaluated over three years & three sites • First ever long-term evaluation of model cloud fraction, LWC and IWC • Substantial differences found, but continued funding is needed to test and improve the latest versions of models and new parameterizations

  4. Observations • NCAS-2 proposal Theme T2 includes • Postdoc to process the raw data to obtain cloud products for rapid evaluation of clouds in models • This would include algorithm development and support for other uses of the data: LEM studies, evaluation of satellite retrievals etc. Illingworth, Hogan, O’Connor et al. (BAMS, accepted for publication) Models

  5. Global cloud observations from the A-train: CloudSat, Calipso, MODIS and CERES First two sentences of S9 theme stress Representation of clouds in climate models, particularly cloud physics and radiation This issue should be one of the key links between NCAS Weather and NCAS Climate The A-train of satellites offers the perfect opportunity to Put Cloudnet in space: global evaluation of clouds in ECMWF and MO climate models Calculate the radiative effect of each cloud type globally and evaluate climate models in more detail than ever before NERC-funded A-train work at Reading Hogan, Illingworth, Delanoe + 2 PhDs Collaboration with Met Office and ECMWF Consortium proposal with NCAS Climate to evaluate high-res simulations of the tropics Cloudsat radar and Calipso lidar launched in April 2006 behind the Aqua satellite

  6. Molecular scattering Aerosol from China? Stratospheric aerosol Mixed-phase altocumulus 5500 km Cirrus Non-drizzling stratocumulus Drizzling stratocumulus Rain • Work is progressing to develop a variational radar/lidar/radiometer retrieval scheme; cloud products will be available to the community • UK is providing the scientific leadership for the approved 2012 ESA “EarthCARE” mission, to carry radar & lidar on same platform; it is the only Earth Explorer mission (out of 5) dealing with physical processes in the atmosphere Calipso lidar CloudSat radar Japan Eastern Russia East China Sea Sea of Japan “First light” data from Cloudsat and Calipso on 7 June 2006

  7. Liquid water content evaluation 2004, 3 sites, 7 models • Ice water content comparison Illingworth, Hogan, O’Connor et al. (accepted for publication in BAMS)

  8. Marsham et al. (QJ 2006) • LEM simulates many • aspects well but • underestimates LWP • Need to conduct experiments with prognostic ice nuclei to allow for depletion (Cotton and Brown) • Role of Hallett-Mossop demonstrated by Clark et al. (QJ 2005) Supercooled water LEM/radar mixed-phase comparisons • Radar/lidar observations of glaciating altocumulus

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