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.
INQC software link, designed by Center for Climate Change(C3)/University Rovira i VirgiliA 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.
INDECIS-QCSS4TT software link, designed by Barcelona Supercomputing Center (BSC)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)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.
Software Suite for Indices Calculation link, designed by Instituto Pirenaico de Ecologia / Consejo Superior de Investigaciones Cientificas (CSIC)Open-source software, stand-alone and designed in R with capabilities to compute standard large-scale circulation indices. This package is integrated in the climate4R suite of climate analysis
Software Suite of Atmospheric Circulation Indices Calculation link, designed by Santander Meteorology Group (UC-CSIC)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.
INTERDECIS software link, designed by National Meteorological Administration (MeteoRo)Functions used for the homogenization of the daily ECA&D series.
Homogeneization Suite:, designed by AEMET - Illes Balears ,