IRI Data Library (Ingrid) — the portal you started from

IRI / Lamont-Doherty, Columbia University

Specification

Code: AL17
Reliability: B Usable
Variables delivered: Climate + some ocean fields · strong for SST, precipitation, ENSO indices · ocean-colour holdings are limited
Resolution: varies by dataset
Cadence: Daily / pentad / monthly
Coverage: varies (some back to 1850s) → present
Cost: FREE
Login required: NONE
Latency: varies
CSV direct?: YES — plain URL → .csv, no login

Applicability by site

Chakaria HDSS PARTIAL Rural COASTAL

MEDIUM — excellent for SST, rainfall and climate indices · NOT a primary chlorophyll source

Matlab HDSS PARTIAL Rural riverine

MEDIUM — same

Dhaka City PARTIAL Urban inland

MEDIUM — same

Access

Route: URL-driven Ingrid subsetting — emits .csv / .nc / .json directly
Endpoint / asset ID: iridl.ldeo.columbia.edu/SOURCES/ ... /X/<lon0>/<lon1>/RANGEEDGES/Y/<lat0>/<lat1>/RANGEEDGES/T/<t0>/<t1>/RANGEEDGES/data.csv
Pipeline step: 2 Download
Documentation: https://iridl.ldeo.columbia.edu/

Command

cd 01_Scripts
python 07_algae_api_download.py --sources iri

What to watch for

VALIDATION STATUS

Long-established academic service, widely cited

KNOWN LIMITATION

IRI is NOT a strong ocean-colour archive. Its NASA/PO-DAAC/oceancolor branch is sparse. Use IRI for SST/precipitation/ENSO and get chlorophyll from ERDDAP, CMEMS or GEE instead.