Version 1
: Received: 10 January 2023 / Approved: 12 January 2023 / Online: 12 January 2023 (13:49:09 CET)
How to cite:
Campalani, P.; Crespi, A. Climdex-Kit: An Open Software for Climate Index Calculation, Sharing and Analysis Towards Tailored Climate Services. Preprints2023, 2023010228. https://doi.org/10.20944/preprints202301.0228.v1
Campalani, P.; Crespi, A. Climdex-Kit: An Open Software for Climate Index Calculation, Sharing and Analysis Towards Tailored Climate Services. Preprints 2023, 2023010228. https://doi.org/10.20944/preprints202301.0228.v1
Campalani, P.; Crespi, A. Climdex-Kit: An Open Software for Climate Index Calculation, Sharing and Analysis Towards Tailored Climate Services. Preprints2023, 2023010228. https://doi.org/10.20944/preprints202301.0228.v1
APA Style
Campalani, P., & Crespi, A. (2023). <strong></strong>Climdex-Kit: An Open Software for Climate Index Calculation, Sharing and Analysis Towards Tailored Climate Services. Preprints. https://doi.org/10.20944/preprints202301.0228.v1
Chicago/Turabian Style
Campalani, P. and Alice Crespi. 2023 "<strong></strong>Climdex-Kit: An Open Software for Climate Index Calculation, Sharing and Analysis Towards Tailored Climate Services" Preprints. https://doi.org/10.20944/preprints202301.0228.v1
Abstract
The paper presents the open source tool climdex-kit which includes utilities to compute, analyze and visualize climate indices based on the input data, target domain and temporal extent defined by the user. It is intended to support researchers as well as practitioners and decision makers to derive, handle and interpret meaningful information for climate change studies and sectoral applications. It currently includes the computation of 30 indices based on temperature and precipitation, describing both mean and extreme climate conditions, and it is designed to work with climate model projections. The tool is written in Python and integrates utilities from the well-established Climate Data Operators (CDO) and NetCDF Operators (NCO) libraries. The specific utilities for selecting, aggregating and visualizing data are thought to help users to produce tailored results improving understanding and communication of future climate change. In order to show the functionalities of the package as well as its potential integration in regional climate services, climdex-kit was applied to an ensemble of downscaled climate model projections up to 2100 for the region Trentino – South Tyrol (north-eastern Italian Alps). The projections for a selection of indices accounting for extreme temperature and precipitation conditions were derived and different visualization choices discussed. The package climdex-kit is developed in a way that allows users to implement additional routines for calculating other indices as well as for easily adapting the routines to handle with different data types and spatio-temporal targets defined by the specific application. Effective climate services can in fact be developed only if flexible tools and customizable climate information are integrated with a clear understanding of data features and limitations.
Keywords
open source; climate indices; emissions scenarios; climate projections
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
