kfuku52 / averagers

Estimating average temperatures from historical daily extremes

Overview

averagers is a python package for estimating daily mean temperature using daily min/max temperatures.

Dependency

• python 3
• numpy
• pandas
• PyEphem

Installation

# Installation with pip
pip install git+https://github.com/kfuku52/averagers

Example

See data/cross_validation.ipynb

Citation

This program was reported in:

Fukushima et al. 2021. A discordance of seasonally covarying cues uncovers misregulated phenotypes in the heterophyllous pitcher plant Cephalotus follicularis. Proceedings of the Royal Society B 288(1943): 20202568. https://royalsocietypublishing.org/doi/10.1098/rspb.2020.2568

Also, this program implements the method reported in the following paper.

Dall'Amico and Hornsteiner. 2006. A simple method for estimating daily and monthly mean temperatures from daily minima and maxima. International Journal of Climatology 26: 1929-1936. https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.1363

Licensing

averagers is BSD-licensed (3 clause). See LICENSE for details.