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Python Practical Application On Climate Variability Studies ⭐ 75

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of par

An R Interface to the Daymet Web Services

Mohid_python_tools ⭐ 5

Repository of post and pre-processing tools for MOHID written using python

Pyconform ⭐ 5

A tool for converting CESM time-series output into CMIP6 standard time-series.

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