Geoskill: Air Quality Download

Download current, historical, and forecast air quality data (PM2.5, PM10, O3, NO2, SO2, CO) from Open-Meteo API without requiring an API key.

ruiduobao@ruiduobao

Install

openclaw skills install @ruiduobao/geoskill-air-quality-download

air-quality-download

Download air quality data from Open-Meteo Air Quality API. No API key required. Supports current conditions, historical data, and forecasts.

Features

Current Air Quality: Real-time pollutant concentrations
Historical Data: Up to several years of hourly data
Forecast: Up to 16 days ahead
Multiple Pollutants: PM2.5, PM10, O3, NO2, SO2, CO
Aggregation: Hourly, daily, monthly averages
CSV/JSON Output: Flexible output formats

Usage

bash

# Current air quality
python scripts\air-quality-download.py current --lat 39.9042 --lon 116.4074

# Historical data (daily aggregation)
python scripts\air-quality-download.py historical --lat 39.9042 --lon 116.4074 --start 2023-01-01 --end 2023-12-31 --aggregate daily

# 7-day forecast
python scripts\air-quality-download.py forecast --lat 39.9042 --lon 116.4074 --days 7

# Specific pollutants
python scripts\air-quality-download.py current --lat 39.9042 --lon 116.4074 --pollutants pm2_5,ozone,nitrogen_dioxide

Parameters

Parameter	Description	Default
`--lat`	Latitude (-90 to 90)	Required
`--lon`	Longitude (-180 to 180)	Required
`--start`	Start date (YYYY-MM-DD)	Required (historical)
`--end`	End date (YYYY-MM-DD)	Required (historical)
`--days`	Forecast days (1-16)	7
`--pollutants`	Comma-separated pollutant list	pm2_5,pm10
`--aggregate`	Aggregation level (hourly/daily/monthly)	hourly
`--output`	Output file path	Auto-generated

Installation

bash

pip install requests>=2.28.0 tqdm numpy scipy
# Or: pip install -r scripts/requirements.txt

Dependencies

Package	Purpose
`requests`	Open-Meteo API calls
`numpy`	Data aggregation
`tqdm`	Progress bars

Data Source

Open-Meteo Air Quality (https://open-meteo.com/) — CC BY 4.0
No API key required
Historical data from 2022 onward
European CAMS model + local station data fusion

Batch / Multi-Location Support

bash

# Loop over multiple locations
for lat_lon in "39.9 116.4" "31.2 121.5" "23.1 113.3"; do
  set -- $lat_lon
  python scripts\air-quality-download.py historical --lat $1 --lon $2 --start 2023-01-01 --end 2023-12-31 --aggregate daily --output "aq_${1}_${2}.csv"
done

Output Format Selection

CSV: Use for tabular analysis, spreadsheet import
JSON: Use for programmatic processing, API integration
Default output is CSV. Use --format json for JSON output.

Error Handling

Error	Cause	Solution
`ConnectionError`	Network issue	Check internet, retry
`HTTP 429`	Rate limit	Wait 60s, retry
`HTTP 400`	Invalid parameters	Check lat/lon range and date format
Empty output	No data for location/dates	Try different parameters
`ModuleNotFoundError`	Missing dep	Run pip install

Timezone Documentation

Open-Meteo: Returns UTC time by default. Use --timezone auto for local time.
CNEMC (if supported): Returns local China time (UTC+8).

Spatial Resolution Info

Source	Resolution
Open-Meteo	~11 km (CAMS model grid)
CNEMC station data	Station-level (point)

AQI Calculation Option

Calculate AQI from pollutant concentrations:

bash

python scripts\air-quality-download.py aqi --input pm25.csv --output aqi.csv

Supports China HJ 633-2012 AQI standard and US EPA AQI standard (--standard china or --standard us).

"All" Pollutants Option

Use --pollutants all to download all available pollutants at once:

bash

python scripts\air-quality-download.py historical --lat 39.9042 --lon 116.4074 --start 2023-01-01 --end 2023-12-31 --pollutants all

Data Quality Flags

Open-Meteo provides quality flags when available. Check the quality_flag column in CSV output:

0: Good quality
1: Moderate quality
2: Low quality (use with caution)

Data Availability Check

bash

# Check data availability for a location and date range
python scripts\air-quality-download.py check --lat 39.9042 --lon 116.4074 --start 2023-01-01 --end 2023-12-31

Out-of-Range Date Handling

Open-Meteo air quality data is available from 2022-06-01 onward. Requests for earlier dates will return an error. For historical data before 2022, consider ERA5 reanalysis or local station records.

Citation

bibtex

@misc{openmeteo2024air,
  title={Open-Meteo Air Quality API},
  author={{Open-Meteo}},
  year={2024},
  url={https://open-meteo.com/en/docs/air-quality-api},
  note={CC BY 4.0}
}

Visualization Guidance

python

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv("air_quality.csv")
fig, axes = plt.subplots(3, 1, figsize=(12, 8), sharex=True)
for ax, pollutant in zip(axes, ["pm2_5", "pm10", "ozone"]):
    ax.plot(df["time"], df[pollutant], linewidth=0.8)
    ax.set_ylabel(f"{pollutant} (µg/m³)")
    ax.grid(True, alpha=0.3)
plt.xticks(rotation=45)
plt.tight_layout()
plt.savefig("air_quality_timeseries.png", dpi=150)

Pollutants

Key	Name	Unit
pm2_5	PM2.5	µg/m³
pm10	PM10	µg/m³
ozone	Ozone (O3)	µg/m³
nitrogen_dioxide	NO2	µg/m³
sulphur_dioxide	SO2	µg/m³
carbon_monoxide	CO	µg/m³

Troubleshooting

Error	Cause	Solution
`ConnectionError`	Network issue	Check internet, retry
`HTTP 429`	Rate limit	Wait 60s, retry
`ValueError`	Invalid input	Check parameter format
Empty output	No data	Try different parameters
`ModuleNotFoundError`	Missing dep	Run pip install

Advanced Usage

Batch Multi-City Download

bash

for city in "北京" "上海" "广州"; do
  python scripts\air-quality-download.py download     --city "$city" --pollutant PM2.5     --start 2023-01-01 --end 2023-12-31     --output aqi_${city}_2023.csv
  sleep 1
done

CI/CD Integration (GitHub Actions)

yaml

# .github/workflows/update-aqi.yml
name: Air Quality Monitor
on:
  schedule:
    - cron: '0 8 * * *'  # Daily at 08:00 Beijing time
jobs:
  download:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.11'
      - run: pip install requests
      - run: |
          python scripts\air-quality-download.py download \
            --city 北京 --pollutant PM2.5 \
            --start $(date -d '7 days ago' +%Y-%m-%d) \
            --end $(date +%Y-%m-%d) \
            --output data/beijing_pm25.csv

PostgreSQL Import

bash

python scripts\air-quality-download.py download   --city 北京 --pollutant PM2.5   --start 2023-01-01 --end 2023-12-31   --output aqi.csv

psql -d gis_db -c "\COPY air_quality(city, date, pm25, pm10, o3, no2, so2, co) FROM 'aqi.csv' CSV HEADER"

Performance Tips

Use --aggregate daily to reduce file size (default is hourly)
Add sleep 1 between city queries to respect rate limits
--pollutant ALL downloads all 6 pollutants in one request

中文说明

从 Open-Meteo 空气质量 API 下载 PM2.5、PM10、O3、NO2、SO2、CO 数据。无需 API key，支持实时、历史、预报三种模式。

安装

bash

pip install requests>=2.28.0 tqdm numpy scipy
# 或: pip install -r scripts/requirements.txt

依赖

包	用途
`requests`	Open-Meteo API 调用
`numpy`	数据聚合
`tqdm`	进度条

批量/多位置支持

bash

# Shell 循环处理多个位置
for lat_lon in "39.9 116.4" "31.2 121.5" "23.1 113.3"; do
  set -- $lat_lon
  python scripts\air-quality-download.py historical --lat $1 --lon $2 --start 2023-01-01 --end 2023-12-31 --aggregate daily --output "aq_${1}_${2}.csv"
done

输出格式选择

CSV：用于表格分析、电子表格导入
JSON：用于程序化处理、API 集成
默认输出为 CSV。使用 --format json 获取 JSON 格式。

错误处理

错误	原因	解决方案
`ConnectionError`	网络问题	检查网络，重试
`HTTP 429`	速率限制	等待 60 秒后重试
`HTTP 400`	无效参数	检查经纬度范围和日期格式
空输出	无数据	尝试不同参数
`ModuleNotFoundError`	缺少依赖	运行 pip install

时区说明

Open-Meteo：默认返回 UTC 时间。使用 --timezone auto 获取本地时间。
CNEMC（如支持）：返回中国本地时间（UTC+8）。

空间分辨率

数据源	分辨率
Open-Meteo	~11 km（CAMS 模型网格）
CNEMC 站点数据	站点级（点数据）

AQI 计算选项

从污染物浓度计算 AQI：

bash

python scripts\air-quality-download.py aqi --input pm25.csv --output aqi.csv

支持中国 HJ 633-2012 AQI 标准和美国 EPA AQI 标准（--standard china 或 --standard us）。

"全部"污染物选项

使用 --pollutants all 一次下载所有可用污染物：

bash

python scripts\air-quality-download.py historical --lat 39.9042 --lon 116.4074 --start 2023-01-01 --end 2023-12-31 --pollutants all

数据质量标记

Open-Meteo 在可用时提供质量标记。检查 CSV 输出中的 quality_flag 列：

0：质量好
1：质量中等
2：质量低（谨慎使用）

数据可用性检查

bash

# 检查某位置和日期范围的数据可用性
python scripts\air-quality-download.py check --lat 39.9042 --lon 116.4074 --start 2023-01-01 --end 2023-12-31

超出范围日期处理

Open-Meteo 空气质量数据从 2022-06-01 起可用。请求更早日期将返回错误。2022 年之前的历史数据请考虑 ERA5 再分析或本地站点记录。

引用格式

bibtex

@misc{openmeteo2024air,
  title={Open-Meteo Air Quality API},
  author={{Open-Meteo}},
  year={2024},
  url={https://open-meteo.com/en/docs/air-quality-api},
  note={CC BY 4.0}
}

可视化指南

python

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv("air_quality.csv")
fig, axes = plt.subplots(3, 1, figsize=(12, 8), sharex=True)
for ax, pollutant in zip(axes, ["pm2_5", "pm10", "ozone"]):
    ax.plot(df["time"], df[pollutant], linewidth=0.8)
    ax.set_ylabel(f"{pollutant} (µg/m³)")
    ax.grid(True, alpha=0.3)
plt.xticks(rotation=45)
plt.tight_layout()
plt.savefig("air_quality_timeseries.png", dpi=150)

故障排除

错误	原因	解决方案
`ConnectionError`	网络问题	检查网络，重试
`HTTP 429`	速率限制	等待 60 秒后重试
`ValueError`	无效输入	检查参数格式
空输出	无数据	尝试不同参数
`ModuleNotFoundError`	缺少依赖	运行 pip install

从 Open-Meteo 空气质量 API 下载 PM2.5、PM10、O3、NO2、SO2、CO 数据。无需 API key，支持实时、历史、预报三种模式。

功能特性

实时空气质量：当前污染物浓度
历史数据：多年小时级数据回溯
预报数据：最长 16 天预报
多种污染物：PM2.5、PM10、O3、NO2、SO2、CO
数据聚合：小时/日/月平均
CSV/JSON 输出：灵活输出格式

使用方法

bash

# 实时空气质量
python scripts\air-quality-download.py current --lat 39.9042 --lon 116.4074

# 历史数据（日聚合）
python scripts\air-quality-download.py historical --lat 39.9042 --lon 116.4074 --start 2023-01-01 --end 2023-12-31 --aggregate daily

# 7 天预报
python scripts\air-quality-download.py forecast --lat 39.9042 --lon 116.4074 --days 7

# 指定污染物
python scripts\air-quality-download.py current --lat 39.9042 --lon 116.4074 --pollutants pm2_5,ozone,nitrogen_dioxide

数据来源

Open-Meteo 空气质量 (https://open-meteo.com/) — CC BY 4.0
无需 API key
历史数据从 2022 年起
欧洲 CAMS 模型 + 地面站融合数据

污染物列表

参数	名称	单位
pm2_5	PM2.5	µg/m³
pm10	PM10	µg/m³
ozone	臭氧 (O3)	µg/m³
nitrogen_dioxide	二氧化氮 (NO2)	µg/m³
sulphur_dioxide	二氧化硫 (SO2)	µg/m³
carbon_monoxide	一氧化碳 (CO)	µg/m³