Use of CALIPSO lidar observations to evaluate the cloudiness simulated by a climate model

By H. Chepfer, Sandrine Bony, D. Winker, M. Chiriaco, J. Dufresne, Genviève Sèze. 2008

230 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/b2ae0033a5efd2fea36e8a817f92a451a7fcfa6d

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Citations in the corpus

Ubiquitous low‐level liquid‐containing Arctic clouds: New observations and climate model constraints from CALIPSO‐GOCCP (2012, methodology): “Briefly, this lidar simulator includes three modules: a subgridding module [ Klein and Jakob , 1999], an attenuation module [ Chepfer et al. , 2008], and a phase diagnosis module that implements the same retrieval on model lidar backscatter profiles as was implemented on observed lidar backscatter…”
Revealing differences in GCM representations of low clouds (2011, background): “ Bony et al. 2004; Bony and Dufresne 2005; Wyant et al. 2006a, 2009; Medeiros et al. 2008; Su et al. 2008).”
Evaluation of the cloud thermodynamic phase in a climate model using CALIPSO‐GOCCP (2013, methodology): “It generates stochastically 50 subgrid columns from each model gridbox and includes modules to simulate several satellite instruments: CALIPSO [Chepfer et al., 2008], CloudSat [Marchand et al., 2009], ISCCP [Klein and Jakob, 1999; Webb et al., 2001], MODIS [Pincus et al., 2012], and Multiple…”
Impacts of cloud microphysics on trade wind cumulus: which cloud microphysics processes contribute to the diversity in a large eddy simulation? (2015, background): “…grid spacing, shallow clouds are usually expressed by parameterizations (e.g., Tiedtke 1993; Considine et al. 1997; Kain 2004), but these parameterizations have not been able to effectively simulate the shallow cloud cover observed from satellites (e.g., Chepfer et al. 2008; Naud et al. 2010).”
The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution (2019, background): “2 algorithms (Chepfer et al., 2008) for the years 2006–2017.”
Process-evaluation of tropospheric humidity simulated by general circulation models using water vapor isotopologues: 1. Comparison between models and observations (2012, methodology): “This could be achieved, for instance, by taking advantage of the CALIPSO cloud data set [Winker et al., 2007], which can allow collocating with TES, and whose observations can be emulated by the model [Chepfer et al., 2008].”
The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6. (2016, methodology): “– CALIPSO (Chepfer et al., 2008; Cesana and Chepfer, 2013): forward model for the lidar scattering ratio as a function of height and cloud-phase retrieval.”
Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis (2013, methodology): “…2009] and combined with CALIPSO [Deng et al., 2010, 2013; Delanoë and Hogan, 2008, 2010] provides new means for global cloud mass evaluation [e.g., Chepfer et al., 2008; Li et al., 2012; Waliser et al., 2009; Chen et al., 2011; Jiang et al., 2012; Gettelman et al., 2010; Klein and Jakob, 1999;…”
The GCM‐Oriented CALIPSO Cloud Product (CALIPSO‐GOCCP) (2010, unknown): “…in particular an International Satellite Cloud Climatology Project (ISCCP) simulator [ Klein and Jakob , 1999; Webb et al. , 2001], a CloudSat simulator [ Haynes et al. , 2007], and a Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) simulator [ Chepfer et al. , 2008].”
Origins of differences in climate sensitivity, forcing and feedback in climate models (2013, methodology): “The ISCCP simulator, as well as new simulators for CloudSat (Bodas-Salcedo et al. 2008) and CALIPSO (Chepfer et al. 2008) will be applied to the CMIP5 models as part of a programme of activities coordinated under the Cloud Feedback Model Intercomparison Project (CFMIP) using the CFMIP Observation…”
The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations (2017, methodology): “…from CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations; Chepfer et al., 2010;Winker et al., 2010) and from the models using the CFMIP (Cloud Feedback Model Intercomparison Project) Observational Simulator Package (COSP; Bodas-Salcedo et al., 2011; Chepfer et al., 2008).”
The ‘too few, too bright’ tropical low‐cloud problem in CMIP5 models (2012, methodology): “This study analyzes CMIP5 outputs from the CALIPSO [Chepfer et al., 2008] and PARASOL (D. Konsta, personal communication, 2012) simulators embedded in COSP.”
Simulation of Present-Day and Twenty-First-Century Energy Budgets of the Southern Oceans (2010, background): “…used and therefore differences are large between ISCCP and High Resolution Infrared Radiation Sounder (HIRS) (Wylie et al. 2005), while new observations from CloudSat and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) (Chepfer et al. 2008) reveal other sources of bias.”