Cloudsat Calipso heating rates
Collection of scripts and figures for cloud-radiative heating rates derived from satellite observations.
To download the CloudSat/Calipso heating rates of 2B-FLXHR-LIDAR via sftp, first follow the instructions at https://www.cloudsat.cira.colostate.edu/order/sftp-access to upload your ssh key and the IP address of the machine that you use for download. I found that to download the data using IMG Jet, I need to use SRVX1 as a jump server (maybe because of some UNIVIE-IMG firewall?):
sftp -r -i ~/.ssh/id_rsa_cloudsat -J avoigt@srvx1.img.univie.ac.at aiko.voigtATunivie.ac.at@www.cloudsat.cira.colostate.edu:Data/2B-FLXHR-LIDAR.P2_R05/* .
~/.ssh/id_rsa_cloudsat
is the private key that I generated on SRVX1 and made available on both SRVX1 and Jet (this implies that I do not need to provide my password for SRVX1 but the passphrase of the key). Note that I submitted both the SRVX1 and the Jet ssh-keys and IP addresses
to the Cloudsat website, though I tend to think that only the IP address of SRVX1 is needed.
Information on the dataset is available at https://www.cloudsat.cira.colostate.edu/data-products/2b-flxhr-lidar.
To read in and work with the HDF4 files, it is helpful to create a dedicated python environment. On Jet, this can be done using micromamba. See the directory pythonenv
.
Directory structure
- ethz: plots of cloud-radiative heating for a tropical cyclone
- pythonenv: create dedicated python environment