NASA POWER - Global Climate Data

Overview

Field	Value
Institution	NASA / LaRC
Website	power.larc.nasa.gov
agrobr access	REST API (JSON), no authentication
Replaces	INMET (API down since Jan/2026)

Data Origin

Source

• URL: https://power.larc.nasa.gov/api/temporal/daily/point
• Format: JSON
• Access: Public, no authentication restrictions
• Coverage: Global, 0.5 degree grid, since 1981
• Community: AG (Agroclimatology)

Available Parameters

NASA parameter	agrobr name	Unit	Description
T2M	temp_media	C	Mean temperature at 2m
T2M_MAX	temp_max	C	Maximum temperature at 2m
T2M_MIN	temp_min	C	Minimum temperature at 2m
PRECTOTCORR	precip_mm	mm/day	Corrected precipitation
RH2M	umidade_rel	%	Relative humidity at 2m
ALLSKY_SFC_SW_DWN	radiacao_mj	MJ/m2/day	Incident solar radiation
WS2M	vento_ms	m/s	Wind speed at 2m

Usage

Point data (lat/lon)

import asyncio
from agrobr import nasa_power

async def main():
    # Daily data for Sorriso-MT
    df = await nasa_power.clima_ponto(
        lat=-12.6, lon=-56.1,
        inicio="2024-01-01", fim="2024-01-31"
    )
    print(df)

    # Monthly aggregation
    df = await nasa_power.clima_ponto(
        lat=-12.6, lon=-56.1,
        inicio="2024-01-01", fim="2024-12-31",
        agregacao="mensal"
    )

    # With metadata
    df, meta = await nasa_power.clima_ponto(
        lat=-12.6, lon=-56.1,
        inicio="2024-01-01", fim="2024-01-31",
        return_meta=True
    )

asyncio.run(main())

Data by state

Uses the state's central coordinates as a representative point.

# Monthly climate for MT in 2024
df = await nasa_power.clima_uf("MT", ano=2024)

# Daily
df = await nasa_power.clima_uf("MT", ano=2024, agregacao="diario")

# With metadata
df, meta = await nasa_power.clima_uf("MT", ano=2024, return_meta=True)

Schema - Daily

Column	Type	Description
data	datetime	Observation date
lat	float	Point latitude
lon	float	Point longitude
uf	str	State abbreviation (when using clima_uf)
temp_media	float	Mean temperature (C)
temp_max	float	Maximum temperature (C)
temp_min	float	Minimum temperature (C)
precip_mm	float	Precipitation (mm/day)
umidade_rel	float	Relative humidity (%)
radiacao_mj	float	Solar radiation (MJ/m2/day)
vento_ms	float	Wind speed (m/s)

Schema - Monthly

Column	Type	Description
mes	datetime	First day of the month
uf	str	State abbreviation
precip_acum_mm	float	Accumulated precipitation (mm)
temp_media	float	Mean temperature (C)
temp_max_media	float	Mean of the maximums (C)
temp_min_media	float	Mean of the minimums (C)
umidade_media	float	Mean relative humidity (%)
radiacao_media_mj	float	Mean radiation (MJ/m2/day)
vento_medio_ms	float	Mean wind (m/s)
lat	float	Point latitude
lon	float	Point longitude

Available States

All 27 Brazilian states have central coordinates mapped. For precise analyses, use clima_ponto() with exact coordinates.

Note on Spatial Resolution

NASA POWER provides data on a 0.5 degree grid (~55km). For large states like MT or PA, the central point may not represent the whole climatic variability of the state well. For detailed regional analyses, query multiple points with clima_ponto().

Cache

Aspect	Value
TTL	24 hours
Maximum stale	30 days
Policy	Fixed TTL

Updating

Aspect	Value
Frequency	Data with ~2 days lag
History	Since 1981
Resolution	Daily