mzelinka

Pinned Repositories

aprp
code and sample data to perform APRP calculations
Language:Jupyter Notebook8 2 19
AR6_figure
Create violin plot of CMIP5, CMIP6, and AR6 Feedbacks
Language:Python0 3 02
assessed-cloud-fbks
Code to compare GCM and expert-assessed cloud feedback components
Language:Jupyter Notebook8 4 06
cloud-radiative-kernels
Use cloud radiative kernels to compute cloud-induced radiation anomalies
Language:Jupyter Notebook16 2 011
cloud-regime-feedbacks
Code to compute cloud property feedbacks with a regime-based decomposition
Language:Python0 1 00
cmip56_forcing_feedback_ecs
Tables of ECS, Effective Radiative Forcing, and Radiative Feedbacks from Zelinka et al., GRL (2020).
36 5 15
greens-function
CAM5 Green's functions from Zhou et al. (2017, 2020)
4 2 01
klein2013-cloud-error-metrics
Compute four scalar measures of the fidelity of model cloud simulations described in Section 4 of Klein et al. (2013).
Language:Python2 2 02
mzelinka.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
Language:HTML0 1 00
pcmdi.github.io
repo for hosting web pages
Language:HTML0 2 00

mzelinka's Repositories

mzelinka/cmip56_forcing_feedback_ecs
Tables of ECS, Effective Radiative Forcing, and Radiative Feedbacks from Zelinka et al., GRL (2020).
36 5 15
mzelinka/cloud-radiative-kernels
Use cloud radiative kernels to compute cloud-induced radiation anomalies
Language:Jupyter Notebook16 2 011
mzelinka/aprp
code and sample data to perform APRP calculations
Language:Jupyter Notebook8 2 19
mzelinka/assessed-cloud-fbks
Code to compare GCM and expert-assessed cloud feedback components
Language:Jupyter Notebook8 4 06
mzelinka/greens-function
CAM5 Green's functions from Zhou et al. (2017, 2020)
4 2 01
mzelinka/klein2013-cloud-error-metrics
Compute four scalar measures of the fidelity of model cloud simulations described in Section 4 of Klein et al. (2013).
Language:Python2 2 02
mzelinka/AR6_figure
Create violin plot of CMIP5, CMIP6, and AR6 Feedbacks
Language:Python0 3 02
mzelinka/cloud-regime-feedbacks
Code to compute cloud property feedbacks with a regime-based decomposition
Language:Python0 1 00
mzelinka/mzelinka.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
Language:HTML0 1 00
mzelinka/pcmdi.github.io
repo for hosting web pages
Language:HTML0 2 00
mzelinka/CMIP6_CVs
Controlled Vocabularies (CVs) for use in CMIP6
Language:Python1 01
mzelinka/durolib
python generic library
Language:Python2 0
mzelinka/meteorological_cloud_radiative_kernels
Netcdf files of meteorological cloud radiative kernels developed by Scott et al. (2020) and applied in Myers et al. (2021).
1 0
mzelinka/tropopause_pressure
Compute tropopause pressure
Language:Fortran3 01
mzelinka/xcdat
An extension of xarray for climate data analysis on structured grids.
Language:Python0 0