Microproduct Data GuideIntermediate

NASA POWER Daily Meteorology and Solar Data

Global gridded daily meteorology and solar estimates for building renewable energy, agriculture, climate, and infrastructure planning tools.

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At a Glance

Difficulty
Intermediate — some data preparation helps
Size
Small · ≤0.1 GB
Formats
JSON, CSV, NetCDF
Access
API or Download
API Key
Not Required
Provider
NASA Langley Research Center
Updates
Near Real Time
Last Verified
Sep 27, 2026
Source Type
Government Source
Data Terms
NASA Earth science data and information policy
  • Python Syntax Checked

From Source to Product Signal

Test a Product Idea in Four Steps

POWER serves analysis-ready solar and meteorological estimates for selected coordinates. Start with one point, two parameters, and one month. Values represent model or satellite grid cells rather than a site sensor, latency differs by parameter, and recent meteorology is later quality-replaced.

1

Check the Setup

  • Python 3.10 or newer
  • A notebook environment such as Jupyter or Google Colab
  • A longitude and latitude for the location being tested
2

Access the Data

  1. 1.Use the parameter dictionary to confirm names, units, source, and temporal availability.
  2. 2.Request one point, no more than two parameters, and a one-month daily period.
  3. 3.Record coordinate, time standard, spatial resolution, and retrieval date with the response.
Open Official Source
3

Run the Python Example

Install the packages, then run the notebook cell.

python -m pip install pandas requests

import pandas as pd
import requests

response = requests.get(
    "https://power.larc.nasa.gov/api/temporal/daily/point",
    params={
        "parameters": "T2M,ALLSKY_SFC_SW_DWN",
        "community": "RE",
        "longitude": -112.074,
        "latitude": 33.4484,
        "start": "20250701",
        "end": "20250731",
        "format": "JSON",
        "time-standard": "UTC",
    },
    timeout=30,
)
response.raise_for_status()
daily = pd.DataFrame(response.json()["properties"]["parameter"])
daily.index = pd.to_datetime(daily.index)
print(daily.head())
4

Test a Useful Signal

Profile Daily Solar Resource at One Location

Compare daily solar radiation and temperature for Phoenix during July 2025.

  1. 01Confirm parameter units and retrieve one month for a single coordinate in UTC.
  2. 02Plot daily solar radiation and temperature and flag missing values.
  3. 03Explain how grid resolution, modeled values, latency, and later quality replacement limit site decisions.

Related Datasets

Dataset Details

NASA Langley Research Center is a government source. Last verified 2026-09-27. Temporal coverage: 1981-present for daily meteorology with parameter-specific coverage.

Geography

Global

Provider

NASA Langley Research Center

Data Terms

NASA Earth science data and information policy

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