Joint ECMWF-University meeting on Joint ECMWF-University meeting on interpreting data from spaceborne interpreting data from spaceborne radar and lidar: AGENDA radar and lidar: AGENDA 09:30 Introduction University of Reading activities • 09:35 Robin Hogan - Overview of CloudSat/CALIPSO/EarthCARE work at University • 09:50 Julien Delanoe - Ice cloud retrievals from CloudSat, CALIPSO & MODIS • 10:05 Lee Smith - Retrieval of liquid water content from CloudSat and CALIPSO 10:20-10:35 Coffee ECMWF Activities • 10:35 Marta Janiskova - Overview of CloudSat/CALIPSO activities at ECMWF • 10:50 Olaf Stiller - Estimating representativity errors • 11:05 Richard Forbes - ECMWF model cloud verification • 11:20 Maike Ahlgrimm - Lidar derived cloud fraction for model comparison 11:35-12:30 Discussion • Retrievals, forward models and error characteristics • Verification of models • Possibilities for collaboration 12:30 Lunch in the canteen
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Joint ECMWF-University meeting on Joint ECMWF-University meeting on interpreting data from spaceborne radar interpreting data from spaceborne radar
and lidar: AGENDAand lidar: AGENDA09:30 Introduction
University of Reading activities• 09:35 Robin Hogan - Overview of CloudSat/CALIPSO/EarthCARE work at University• 09:50 Julien Delanoe - Ice cloud retrievals from CloudSat, CALIPSO & MODIS• 10:05 Lee Smith - Retrieval of liquid water content from CloudSat and CALIPSO
10:20-10:35 Coffee
ECMWF Activities• 10:35 Marta Janiskova - Overview of CloudSat/CALIPSO activities at ECMWF• 10:50 Olaf Stiller - Estimating representativity errors• 11:05 Richard Forbes - ECMWF model cloud verification• 11:20 Maike Ahlgrimm - Lidar derived cloud fraction for model comparison
11:35-12:30 Discussion• Retrievals, forward models and error characteristics• Verification of models• Possibilities for collaboration
related work at University of related work at University of ReadingReading• Forward models and model evaluation
– Lidar forward modelling to evaluate the ECMWF model from IceSAT
– Multiple scattering model for spaceborne radar and lidar (Hogan)
• Retrievals and model evaluation– LITE lidar estimates of supercooled water occurrence– Radar retrievals of liquid clouds (Lee Smith, Anthony Illingworth)– Variational radar-lidar-radiometer retrieval of ice clouds (Delanoe)
• ESA “CASPER” project (Clouds and Aerosol Synergy Products from EarthCARE Retrievals)– Defined the required cloud, aerosol and precipitation products– Developed variational ice cloud retrieval for EarthCARE that uses
the cloud radar, the “High Spectral Resolution Lidar” (HSRL; the same technology as ADM) and the infrared channels of the multispectral imager
Ongoing/future workOngoing/future work• Forward models and model evaluation
– Use the CloudSat simulator to evaluate the 90-km resolution HiGEM version of the Met Office climate model (Margaret Woodage)
– Use the CloudSat simulator to evaluate 1-km large-domain simulations of tropical clouds in “CASCADE” (Thorwald Stein)
• Retrievals and model evaluation– Ongoing comparisons with MO and ECMWF models (Smith & Delanoe)– Use of retrievals to evaluate the CASCADE model (Thorwald Stein)
• CloudSat, CALIPSO and EarthCARE algorithm development– Develop a “unified” retrieval algorithm for clouds, precipitation and
aerosols simultaneously using radar, lidar, infrared radiances and possibly microwave radiances (Nicola Pounder, Hogan, Delanoe)
• Science questions– What is the radiative impact of errors in model clouds? Use retrievals,
CERES observations and radiative transfer calcs. (Nicky Chalmers)– What is the distribution of supercooled water in the atmosphere and
why is it so difficult to model? (Andrew Barrett)
ECMWF clouds vs IceSAT using a lidar forward model
• Cloud observations from IceSAT 0.5-micron lidar (first data Feb 2004)
• Global coverage but lidar attenuated by thick clouds: direct model comparison difficult
Optically thick liquid cloud obscures view of any clouds beneath
• Solution: forward-model the measurements (including attenuation) using the ECMWF variables
Lidar apparent backscatter coefficient (m-1 sr-1)
Latitude
Wilkinson, Hogan, Illingworth and Benedetti (Monthly Weather Review 2008)
Simulate lidar backscatter:– Create subcolumns with max-rand