Related publication of the exploration presented in the Jupyter notebook
Quantifying Causal Pathways of Teleconnections
Contains outputs, (figures), generated in the Jupyter notebook of Concatenating a gridded rainfall reanalysis dataset into a time series
Contains input of the Jupyter Notebook - Concatenating a gridded rainfall reanalysis dataset into a time series used in the Jupyter notebook of Concatenating a gridded rainfall reanalysis dataset into a time series
Input of the Jupyter Notebook - Concatenating a gridded rainfall reanalysis dataset into a time series
Rendered version of the Jupyter Notebook hosted by the Environmental Data Science Book
Online rendered version of the Jupyter notebook
Lock conda file for osx-64 OS of the Jupyter notebook hosted by the Environmental Data Science Book
Pip requirements file containing libraries to install after conda lock
Pip requirements for lock conda environments
Conda environment when user want to have the same libraries installed without concerns of package versions
Jupyter Notebook hosted by the Environmental Data Science Book
The research object refers to the Concatenating a gridded rainfall reanalysis dataset into a time series notebook published in the Environmental Data Science book.
Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book - snapshot
Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book
Timothy Lam, Marlene Kretschmer, Samantha Adams, Rachel Prudden, Elena Saggioro, Nick Homer, and Alejandro Coca-Castro. "Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book." ROHub. Jul 24 ,2022. https://doi.org/10.24424/1vw8-6519.
Image showing interactive plot of global monthly precipitation mean computed from NCEP/NCAR reanalysis dataset
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Concatenating a gridded rainfall reanalysis dataset into a time series (Jupyter Notebook) published in the Environmental Data Science book.