Maesters-of-Clim

Maesters-of-Clim tempt to help retriving climate data (climate index, reanalysis) from the main-stream climate insitution (like IRI, PSL, NCEI, RDA).

The following support

Install

pip install maesters-clim

Usage

from maesters_of_clim import Climate_Maester
from datetime import datetime

# retrive history climate index from nina
c = Climate_Maester(
    indexes=['nina34a', 'pdo', 'soi'],
    source='psl'
)
df = c.history()

# retrive half-year ENSO forecast probability
c = Climate_Maester(
    indexes='enso',
    source='iri'
)
iridf = c.forecast(pred_at=datetime(2022, 10, 1))

c = Climate_Maester(
    indexes='enso',
    source='cpc'
)
cpcdf = c.forecast(pred_at=datetime(2022, 10, 1))

# calculate ENSO event from nina34a/nina3a/soi ...
from maesters_of_clim.analysis import enso_event
df['enso_event'] = enso_event(df, column='nina34a', temp=0.5, months=6)
df[~df['enso_event'].isna()]

TODO

The following support is on the way. 🚀🚀🚀

1. Data

• ERA5 reanalysis from RDA and AWS

2. Basic Computation

• Compiste Analysis