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air-quality-openaq

Downloads OpenAQ pollutant measurements and computes AQI-style indicators and kriging-based spatial estimates.

33|6|Updated Mar 17, 2026
Search Tags:#kriging#air quality#environmental health#exposure assessment#openaq#aqi#spatial interpolation
One-click install
npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill air-quality-openaq
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: air-quality-openaq
Source: https://github.com/xjtulyc/awesome-rosetta-skills/tree/main/skills/04-earth-science/air-quality-openaq
Command: npx skills add https://github.com/xjtulyc/awesome-rosetta-skills --skill air-quality-openaq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Air quality researchers and analysts need a repeatable way to pull air pollution measurements, quantify exposure risk, and compare cities using consistent methods instead of manual, fragmented analysis.

Core Features & Use Cases

  • OpenAQ ingestion for pollutant time series: Download measurements like PM2.5/PM10/O3/NO2 by location using the OpenAQ API and prepare them for analysis.
  • Health exposure and guideline benchmarking: Convert concentrations into AQI-style indicators and assess exceedances against WHO and health thresholds.
  • Spatial interpolation with kriging: Use ordinary kriging to interpolate sparse station observations onto a grid and visualize both estimates and uncertainty.
  • Multi-city comparison: Compare annual means across cities and relate air quality to population-scaled exposure.

Quick Start

Use this skill to download OpenAQ PM2.5 data for a specified city and date range, then compute AQI-based daily summaries and compare the results to WHO guideline thresholds.

Frequently Asked Questions about air-quality-openaq

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I download OpenAQ air quality measurements for a specific city?▼

To download OpenAQ air quality measurements, you query the OpenAQ API for PM2.5, PM10, O3, and NO2 time-series data by specifying your target city and date range. You can optionally use an OPENAQ_API_KEY for access.

Can I compare air pollution levels against WHO guideline thresholds?▼

Yes, you can compare air pollution levels against WHO guideline thresholds by converting raw pollutant concentrations into AQI-style indicators. This process assesses health exposure exceedances for your time-series data.

How does spatial interpolation with kriging handle sparse monitoring stations?▼

Spatial interpolation with kriging handles sparse monitoring stations by applying ordinary kriging with variogram modeling to estimate pollutant levels across a grid. This visualizes both spatial estimates and their uncertainty.

What is the best way to analyze seasonal pollution patterns across multiple cities?▼

The best way to analyze seasonal pollution patterns across multiple cities is to ingest OpenAQ time-series data, compute daily AQI-based summaries, and compare annual means alongside population-scaled exposure metrics.

Do I need an API key to process PM2.5 time-series data?▼

You do not strictly need an API key to process PM2.5 time-series data, as OpenAQ API access is available optionally. However, providing an OPENAQ_API_KEY is supported for reliable downloads.

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