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sdat2 / seager19

Replication of Seager et al. (2019) Nat. Clim. Chan. They used a simple-as-possible coupled model to explain the bias in the nino3.4 trend in climate models (CMIP5). This repository replicates/reproduces their work, shows that it also applies to CMIP6, and varies some of the parameters.
https://seager19.readthedocs.io/
MIT License
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Add method for calculating ENSO indices from data. #1

Closed sdat2 closed 3 years ago

sdat2 commented 3 years ago

https://rabernat.github.io/research_computing_2018/assignment-8-xarray-for-enso.html

sdat2 commented 3 years ago

Here will will calculate the NINO 3.4 index of El Nino variabillity and use it to analyze datasets.

First read this page from NOAA. It tells you the following.

The Nino 3.4 region is defined as the region between +/- 5 deg. lat, 170 W - 120 W lon. Warm or cold phases of the Oceanic Nino Index are defined by a five consecutive 3-month running mean of sea surface temperature (SST) anomalies in the Niño 3.4 region that is above (below) the threshold of +0.5°C (-0.5°C). This is known as the Oceanic Niño Index (ONI). (Note that "anomaly" means that the seasonal cycle is removed.)

sdat2 commented 3 years ago

https://ncar.github.io/PySpark4Climate/tutorials/Oceanic-Ni%C3%B1o-Index/