CFODD diagnostics code
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README.md

README.md

CFODD: Cloud Microphysical Process Metrics

CFODD (Contoured Frequency by Optical Depth Diagram) is a model diagnostic metric that evaluates warm rain formation microphysical processes against satellite observations. The methodology combines satellite cloud observables (e.g. radar reflectivity, cloud optical depth and cloud-top effective particle radius) to construct a particular statistics that "fingerprint" signatures of the warm rain formation process in the form of a contoured frequency diagram of radar reflectivity by in-cloud optical depth. The statistics are typically classified according to different ranges of the cloud-top particle size to depict how vertical microphysical structures tend to transition from non-precipitating clouds to precipitating clouds as a fairly monotonic function of the cloud-top particle size. The corresponding statistics are constructed from output of a given model for comparisons with the satellite-based statistics to expose how the model realistically represents the warm rain formation process in a statistical sense. The methodology is applicable to both global climate models and cloud-resolving models.

Usage

Fortran 90 codes for constructing the metric are available at the directory "code/fortran" in this repository. There are two codes: one for satellite-based statistics using CloudSat and MODIS data product and the other for model-based statistics using GFDL-CM3 sample output. The satellite and model data required to run the codes are available upon request to Kentaroh Suzuki at ksuzuki@aori.u-tokyo.ac.jp. The data will be shared through Google Drive, to which the user will be given a permission to access. The sample results obtained from the code and data comparing the satellite-based and model-derived statistics are included in the directory "images".

Related publications (selected)

Suzuki, K., G. Stephens, A. Bodas-Salcedo, M. Wang, J.-C. Golaz, T. Yokohata, and T. Koshiro, 2015: Evaluation of the warm rain formation process in global models with satellite observations. J. Atmos. Sci., 72, 3996-4014, doi:10.1175/JAS-D-14-0265.1.

Suzuki, K., J.-C. Golaz, and G. L. Stephens, 2013: Evaluating cloud tuning in a climate model with satellite observations. Geophys. Res. Lett., 40, 4464-4468, doi:10.1002/grl.50874.

Suzuki, K., G. L. Stephens, S. C. van den Heever, and T. Y. Nakajima, 2011: Diagnosis of the warm rain process in cloud-resolving models using joint CloudSat and MODIS observations. J. Atmos. Sci., 68, 484-503, doi:10.1175/JAS-D-10-05026.1.

Input

Frequency Duration Variables Dimension CMOR labels Unit File Format
6 hourly 3 months Cloud Optical Thickness (liquid) 2D tau Unitless nc
Cloud-top Effective Droplet Radius 2D reffclwtop m nc
Stratiform In-Cloud Optical Depth 3D dtaus Unitless nc
Radar Reflectivity 3D+Subcolumn N/A dBZ nc
Fracout 3D+Subcolumn N/A Unitless nc

*CMOR labels denoted "N/A" indicate that the variable is not available in current archive of CMIP.

*Radar Reflectivity is CloudSat radar reflectivity, which is computed and named "cfad_ze" in COSP.

*Fracout is the integer denoting the subcolumn scene type defined in COSP as "frac_out": =0 (Clr), =1 (St) and =2 (Cu)

Output

The output is the occurrence frequency of radar reflectivity normalized at each in-cloud optical depth in the form of the contoured frequency by optical depth diagram. The sample results obtained from GFDL CM3 model output and satellite observations are provided as "cfodd_gfdl_sg_std_jan_4class.txt" and "cfodd_r21_5class_djf.txt" in the "code/fortran" directory. These are visualized to be displayed as "cfodd_sat_gfdl.png" in the "image" directory.

Program

The diagnostic code:

code/fortran/analysis_cfodd_gfdl.f90 (Model: GFDL CM3)

code/fortran/analysis_cfodd_sat.f90 (Satellite)

The visualization script:

code/fortran/draw_cfodd.exe for Gnuplot

Data availability

The sample data from satellite and model required to create this diagnostic are available upon request to Kentaroh Suzuki at ksuzuki@aori.u-tokyo.ac.jp.