Data · dataset · 2024
Brazilian Atmospheric Inventories - BRAIN version 2: air quality dataset in Brazil - 2020
Listed in ScienceDB
Description
We coupled emissions inventories, the Weather Research and Forecasting (WRF) model, and the Community Multiscale Air Quality Modeling System (CMAQ) to produce the BRAIN air quality dataset for Brazil. CMAQ version 5.3.2 was set up using the third version of the Carbon Bond 6 chemical mechanism (cb6r3_ae7_aq) with AERO7 treatment of Secondary Organic Aerosol for standard cloud chemistry. Other model configurations used in this work can be found in SM5 and github.com/leohoinaski/CMAQrunner.
The pollutant list in CMAQ outputs containing multiple species.The CMAQ standard profile of boundary conditions is used in the larger domain (d01), which provides the boundary conditions for the smaller one (d02). The simulations have 24 hours length and time step interval of 1 hour. The last hour of the previous simulation has been set up as the initial condition of the next one.
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We used the standard profile for the first hour of the first simulation (00:00:00 01-01-2019). Domain details can be observed in SM1.In this dataset, we provide hourly data with 20x20km of spatial resolution (d01) covering the Brazilian territory. Files are in netCDF format and divided by day from 2020.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.14564 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Climate change science 70% · Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.14564 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3702 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |