INDECIS has created or supports different software suites for climate data quality control and homogenisation, indices calculation, datasets inter-comparison and climate indices visualization.
INDECIS QC software (INQC), created by C3/URV
INQC is designed to quality control European Climate Assessment and Dataset (ECA&D) daily data of maximum, minimum and average temperature, precipitation, sea level pressure, relative humidity, wind speed, snow depth, cloud coverage and sunshine duration. INQC is in beta version (inqc_beta.R) available from GitHub.
QC software for tall towers wind data (QCSS4TT), created by BSC
A tall tower or met mast consists of a high vertical structure (often reaching heights up to 100 meters above ground) with several booms distributed along the vertical mast. Those booms are instrumented with meteorological sensors that record wind speed, wind direction and other parameters at multiple heights above ground level. The special nature of this observational sites allows to perfrom some non-standard quality control techniques.
Original QC functions converted from ProClimDB into R software (called MetQC) form the basis of the presented software in order to be better usable by various users and applicable stand-alone.
The main script (MetQC_frame.R) uses three main steps of the data processing, and is divided into functions accordingly: getting information about data, finding neighbours for subsequent data quality control, and data quality control itself.
MetQC software link, designed by Global Change Research Institute of the Czech Academy of Sciences (GCRI)
INDECIS Software Suite for Indices Calculation, created by CSIC
Open-source software, stand-alone and designed in R with capabilities to compute the 136 indices defined in the INDECIS project. Each index corresponds to a single function with options to be calculated on different time scales: annual, monthly and seasonal. Some of the indices only show an annual functionality, but most of them can be calculated at the three different time scales. The functions can be adapted to any format of data inputs and they can be adapted to calculate iteratively the climate indices from large datasets (e.g. gridded netcdf files). The software has been tested by using gridded climate data from ECA&D and ERA5.
INDECIS software for intercomparison of reanalysis datasets (INTERDECIS), created by MeteoRo
Interdecis is an open-source software, stand-alone and designed in R with capabilities to analyse the various climatic datasets performance using as reference E-OBS gridded dataset and ERA5 reanalysis product. The functions can be applied to any NetCDF files, as long as they are regularly spaced in the lat/lon grid format. Accuracy measures can be computed from the values extracted from the cells (grids) of the reference (E-OBS/ERA5) and analysed datasets, in which a given coordinates (points) fall. The development version of the interdecis can be installed in R environment from the GitHub repository, with sample data available on interdecisdata R package.
fireDanger: R package for calculation of fire danger indices Santander Meteorology Group (UC-CSIC)
Firedanger:R package for the calculation of fire danger indices, including INDECIS set of forest fire indices: Fire Weather Index, Finnish Forest Fire Danger Index, Keetch-Byram Drought Index, McArthur Forest Fire Danger Index, Modified Nesterov Index
The software consists of three R scripts that cut the netCDF files containing the climate indices defined in WP4, from all over Europe, and from the entire time period into smaller files for each of the European regions (NUTS) and for each of the indices, years and accumulations that are chosen. Thus, the resulting files are easier to manage and user-friendly due to their greater specificity and their smaller size.
The package have been developed by AEMET team and can be found here.
This R package allows you to download the data and calculate the INDECIS Sun and Beach Index (INSBIN) for specific coordinates. It has been done within the INDECIS project and WP7 works. From the workshops held with local agents of sun and beach tourism, the variables and their values have been defined, allowing to calculation the index.
INSBIN software link