Data · dataset · 2026
A District-Level CAMS Forecast–ERA5 Reanalysis PM-Based Air-Quality Index Proxy and Meteorological Dataset for Khulna Division, Bangladesh (July 2015–December 2025)
Listed in Teesside University Research Data Repository
This dataset provides a district-level PM-based Air-Quality Index proxy and meteorological record for Khulna Division, Bangladesh, covering July 2015 to December 2025.
Description
It was developed for the ten districts of Khulna Division: Bagerhat, Chuadanga, Jashore, Jhenaidah, Khulna, Kushtia, Magura, Meherpur, Narail, and Satkhira. The dataset combines CAMS global atmospheric composition forecast data with ERA5 reanalysis meteorological data.
CAMS surface PM2.5 and PM10 fields were used to derive particulate-matter-based air-quality proxy indicators, while ERA5 supplied supporting meteorological variables including temperature, dew point, relative humidity, wind speed, wind direction, and U/V wind components. Gridded model outputs were aggregated to district level using area-weighted intersections with geoBoundaries ADM2 district polygons. The final release contains 920,880 hourly district records and 38,380 Bangladesh local-date daily records.
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Each district has 92,088 hourly timestamps. The dataset includes hourly PM2.5 and PM10 concentrations, rolling 24-hour PM-based index proxies, strict completeness companion indices, NowCast-based PM proxy indices, daily summaries, meteorological variables, quality flags, source provenance, and reproducibility materials. Known CAMS early-period lead-zero PM placeholder gaps were carefully handled.
Validated previous-day CAMS forecast step-24 records were integrated only when exact valid-time source data were available and spatial coverage requirements were satisfied. This process recovered 7,469 district-hour records per pollutant. After recovery, 721 PM2.5 and 721 PM10 concentration cells remain blank.
These remaining blanks represent unavailable source data and were not interpolated, estimated, or zero-filled. The air-quality values in this dataset should be interpreted as model-derived PM-based proxy indicators, not as official regulatory AQI, ground-monitor observations, or population-weighted exposure estimates. The dataset is intended to support transparent research on long-term particulate air-quality patterns, district-level meteorological conditions, environmental exposure screening, and regional air-quality studies in Khulna Division.
Provenance files, quality-control outputs, data dictionaries, boundary files, reproducible code, and checksum records are included to support verification and reuse.
Links
Where it is published
- DOI doi.org/10.17632/kh5sy694hp.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/kh5sy694hp.1 | 17 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |