South Korea and China are the geographic focus of this dataset, which contains daily PM10 concentration data and derived cosine similarity metrics for large-scale atmospheric patterns during high-pollution events. The data includes 5,113 daily PM10 concentration records and 2,873 daily similarity records for variables like geopotential height and temperature. It was contributed by the organization AMD_KOPRI and last updated on December 31, 2019.
Use Cases
- Correlating high PM10 events in South Korea with specific atmospheric conditions based on geopotential height and temperature similarity metrics.
- Analyzing regional air quality trends between South Korea and China using the country-based daily PM10 concentration data.
- Studying the characteristic anomalous large-scale patterns associated with historical pollution cases in East Asia.
- Investigating the relationship between surface-level PM10 and variables like relative humidity and wind speed at different pressure levels.
Strengths
- Contains 5,113 daily records of PM10 concentration data.
- Includes 2,873 daily records of derived cosine similarity metrics for multiple atmospheric variables.
- Focuses on high PM10 events defined by a specific threshold (> 80 ug/m3).
Limitations
- Last updated 2019-12-31 23:59:59.999000; freshness should be verified.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count for the full dataset is unknown, which may limit suitability assessment.
Provenance
- Source
- nasa_earthdata
- Collection Method
- Likely derived from satellite or atmospheric model data, given the platform and description of projecting anomalous large-scale patterns.
- Freshness
- Last updated 2019-12-31 23:59:59.999000
- Geography
- South Korea and China, with atmospheric pattern analysis over 20-80N, 30-180E.