Peter Kuma

ICON LES contribution to the COMBLE-MIP project

Django admin plugin for attaching files to model instances with multiple file selection support

Code for the manuscript “EURO-CORDEX-CMIP6 ensemble generated by HCLIM43-ALADIN”

The source of the website peterkuma.net.

Command-line application for visualizing data from CloudSat and CALIPSO satellites

Convert Metek MRR-2 micro rain radar data files to NetCDF

Convert Vaisala CL51, CL31, and CT25K ceilometer dat files to NetCDF

ds-format is an open source program, a Python package and a storage format which provides an interface for reading and writing NetCDF files, as well as its own optional data file format.

Web application for browsing data from the CALIPSO and CloudSat satellites.

Command-line program for converting radiosonde measurement data to NetCDF and calculation of derived physical quantities, supporting InterMet Systems (iMet) and Windsond radiosondes, as well as calculating derived quantities from model profiles.

This is a forked repository in order to submit model output data to the COMBLE MIP

wstcp is a node.js client and server implementation of TCP forwarding over WebSocket

Code for the manuscript "Ship and ground-based lidar and radiosonde evaluation of Southern Ocean clouds in the storm-resolving general circulation model ICON and the ERA5 and MERRA-2 reanalyses"

This repository contains the source of the manuscript "Ship-based lidar evaluation of Southern Ocean low clouds in the storm-resolving general circulation model ICON and the ERA5 and MERRA-2 reanalyses"

fileshack allows you to create your own hosted web file storage, easy

Convert Sigma Space Micro Pulse Lidar (MPL) data files to NetCDF

Automatic Lidar and Ceilometer Processing Framework (ALCF) - fork with features for a manuscript

WebSocket persistent TCP port forwarding command-line server

No description provided.

Scientific time library for Python (in development)

Plain Structured Text (PST)

Artificial neural network for detecting precipitation in lidar data for use with the ALCF

An open-source, comprehensive and user-friendly Python toolbox for detecting and tracking cyclones

Code and data for the paper "An analysis of the cloud environment over the Ross Sea and Ross Ice Shelf using CloudSat/CALIPSO satellites: The importance of Synoptic Forcing"

Code for the paper "Machine learning of cloud types in satellite observations and climate models".

Combining emergent constraints produced by the FORCeS project using the Bretherton and Caldwell (2020) method.

Code and data accompanying the paper Revell et al. (2021), “Direct radiative effects of airborne microplastics”.

This repository contains code to accompanying the manuscript "Climate model code genealogy and its relation to climate feedbacks and sensitivity".

Visualising Data from CloudSat and CALIPSO Satellites

A talking cow!