maesters-clim 0.0.4

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

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

Institution	Source	DataType	DataName	FetchData
IRI	IRI	forecast	ENSO Probability	Climate_Maester(['enso'], 'iri').forecast(pred_at=date)
IRI	CPC	forecast	ENSO Probability	Climate_Maester(['enso'], 'cpc').forecast(pred_at=date)
JAMSTEC	JAMSTEC	forecast	Dipole Mode Index	Climate_Maester(['dmi'], 'jamstec').forecast()
PSL/NCEI	PSL/NCEI	history	Nina 34 Anomaly	Climate_Maester(['nina34a'], 'ncei').history()
PSL/NCEI	PSL/NCEI	history	Nina 3 Anomaly	Climate_Maester(['nina3'], 'ncei').history()
PSL/NCEI	PSL/NCEI	history	Nina 4 Anomaly	Climate_Maester(['nina4'], 'ncei').history()
PSL	PSL	history	Nina 1 Anomaly	Climate_Maester(['nina1a'], 'psl').history()
NCEI	NCEI	history	Nina 1.2 Anomaly	Climate_Maester(['nina12a'], 'ncei').history()
NCEI	NCEI	history	Nina 1.2 SST	Climate_Maester(['nina12'], 'ncei').history()
NCEI	NCEI	history	Nina 3 SST	Climate_Maester(['nina3'], 'ncei').history()
NCEI	NCEI	history	Nina 3.4 SST	Climate_Maester(['nina34'], 'ncei').history()
NCEI	NCEI	history	Nina 4 SST	Climate_Maester(['nina4'], 'ncei').history()
NCEI	NCEI	history	Indian Ocean Dipole	Climate_Maester(['iod'], 'ncei').history()
PSL	PSL	history	Southern Oscillation Index	Climate_Maester(['soi'], 'psl').history()
PSL	PSL	history	Oceanic Nino index	Climate_Maester(['oni'], 'psl').history()
PSL	PSL	history	Trans Nino index	Climate_Maester(['tni'], 'psl').history()
PSL	PSL	history	Arctic Oscillation	Climate_Maester(['ao'], 'psl').history()
PSL	PSL	history	Bivariate ENSO from nina3.4 & soi	Climate_Maester(['censo'], 'psl').history()
PSL	PSL	history	Western Pacific Index	Climate_Maester(['wp'], 'psl').history()
PSL	PSL	history	AMO smoothed	Climate_Maester(['amo_sm'], 'psl').history()
PSL	PSL	history	Dipole Mode Index	Climate_Maester(['dmi'], 'psl').history()
PSL	PSL	history	Dipole Mode Index West	Climate_Maester(['dmiwest'], 'psl').history()
PSL	PSL	history	Dipole Mode Index East	Climate_Maester(['dmieast'], 'psl').history()
PSL	PSL	history	North Atlantic Oscillation	Climate_Maester(['nao'], 'psl').history()
PSL	PSL	history	North Pacific Index	Climate_Maester(['np'], 'psl').history()
PSL	PSL	history	Trans Polar Index	Climate_Maester(['tpi'], 'psl').history()
PSL	PSL	history	Global Average Temperature Anomaly from Station	Climate_Maester(['glbts'], 'psl').history()
PSL	PSL	history	Global Average Temperature Anomaly from Station and SST	Climate_Maester(['glbtssst'], 'psl').history()
PSL/NCEI	PSL/NCEI	history	AMO unsmoothed	Climate_Maester(['amo'], 'ncei').history()
PSL/NCEI	PSL/NCEI	history	Pacific Decadal Oscillation	Climate_Maester(['pdo'], 'ncei').history()

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