Intro

ICCLIM (Indice Calculation CLIMate) is a Python library for computing a number of climate indices.

Its documentation is available at http://icclim.readthedocs.org.

Currently, the 49 climate indices as defined by European Climate Assessment & Dataset based on air temperature and precipitation variables are included:

• 11 cold indices (GD4, CFD, FD, HD17, ID, CSDI, TG10p, TN10p, TX10p, TXn, TNn)
• 1 drought indice (CDD)
• 9 heat indices (SU, TR, WSDI, TG90p, TN90p, TX90p, TXx, TNx, CSU)
• 14 rain indices (RR, RR1, SDII, CWD, R10mm, R20mm, RX1day, RX5day, R75p, R75pTOT, R95p, R95pTOT, R99p, R99pTOT)
• 4 snow indices (SD, SD1, SD5cm, SD50cm)
• 6 temperature indices (TG, TN, TX, DTR, ETR, vDTR)
• 4 compound indices (CD, CW, WD, WW)

Detailed description of each indice is available at http://eca.knmi.nl/documents/atbd.pdf.

Initialy ICCLIM was designed for online computing of climate indices through the climate4impact portal. In spite of existence of other packages able to compute climate indices (CDO, R package ), it was decided to develop a new software in Python. Python language was first of all choosen to interface with PyWPS: Python implementation of Web Proccessing Service (WPS) Standard. Another reason was to interface eventially with the OpenClimateGIS.

The ICCLIM developer repository can be found here: https://github.com/tatarinova/icclim