tim-carlsen

Pinned Repositories

mc2-nird-toolkit
MC2 jupyterhub toolkit
Language:Dockerfile0 4 02
mc2-nird-toolkit
Mixed-phase Clouds and Climate
Language:Dockerfile0 4 13
book
ORCESTRA documentation
Language:Python8 3 6442
book
ORCESTRA documentation
Language:Python00
satellite-ecs-so
Here I provide some python code used for the analysis of satellite (CloudSat + CALIPSO) data to compute monthly mean LWC, IWC, and temperature profiles over the Southern Ocean.
Language:Jupyter Notebook4 1 00
tstar-inp-satellite
Here we provide some python code used for the analysis of satellite (CloudSat + CALIPSO) data to compute frequency of occurence (binned by cloud top temperature) of liquid-only, mixed-phase, liquid-top mixed-phase, and ice-only clouds over the Arctic and Southern Ocean. The resulting histograms are then used to compute T*, a metric that we describe in Carlsen and David (2022, Geophysical Research Letters). In addition, we provide the scripts to produce the figures within this paper.
Language:Python20

tim-carlsen's Repositories

tim-carlsen/satellite-ecs-so
Here I provide some python code used for the analysis of satellite (CloudSat + CALIPSO) data to compute monthly mean LWC, IWC, and temperature profiles over the Southern Ocean.
Language:Jupyter Notebook4 1 00
tim-carlsen/tstar-inp-satellite
Here we provide some python code used for the analysis of satellite (CloudSat + CALIPSO) data to compute frequency of occurence (binned by cloud top temperature) of liquid-only, mixed-phase, liquid-top mixed-phase, and ice-only clouds over the Arctic and Southern Ocean. The resulting histograms are then used to compute T*, a metric that we describe in Carlsen and David (2022, Geophysical Research Letters). In addition, we provide the scripts to produce the figures within this paper.
Language:Python20
tim-carlsen/book
ORCESTRA documentation
Language:Python00