FUME 2.0 – Flexible Universal processor for Modeling Emissions
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00585895" target="_blank" >RIV/67985807:_____/24:00585895 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/24:10489285
Result on the web
<a href="https://doi.org/10.5194/gmd-17-3867-2024" target="_blank" >https://doi.org/10.5194/gmd-17-3867-2024</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/gmd-17-3867-2024" target="_blank" >10.5194/gmd-17-3867-2024</a>
Alternative languages
Result language
angličtina
Original language name
FUME 2.0 – Flexible Universal processor for Modeling Emissions
Original language description
This paper introduces FUME 2.0, an open-source emission processor for air quality modeling, and documents the software structure, capabilities, and sample usage. FUME provides a customizable framework for emission preparation tailored to user needs. It is designed to work with heterogeneous emission inventory data, unify them into a common structure, and generate model-ready emissions for various chemical transport models (CTMs). Key features include flexibility in input data formats, support for spatial and temporal disaggregation, chemical speciation, and integration of external models like MEGAN. FUME employs a modular Python interface and PostgreSQL/PostGIS backend for efficient data handling. The workflow comprises data import, geographical transformation, chemical and temporal disaggregation, and output generation steps. Outputs for mesoscale CTMs CMAQ, CAMx, and WRF-Chem and the large-eddy-simulation model PALM are implemented along with a generic NetCDF format. Benchmark runs are discussed on a typical configuration with cascading domains, with import and preprocessing times scaling near-linearly with grid size. FUME facilitates air quality modeling from continental to regional and urban scales by enabling effective processing of diverse inventory datasets.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Geoscientific Model Development
ISSN
1991-959X
e-ISSN
1991-9603
Volume of the periodical
17
Issue of the periodical within the volume
9
Country of publishing house
DE - GERMANY
Number of pages
12
Pages from-to
3867-3878
UT code for WoS article
001222533900001
EID of the result in the Scopus database
2-s2.0-85193542888