Results 51 to 60 of about 1,908 (162)
Abstract This study focuses on the period from June 26 to 29, 2023, when record‐breaking Canadian wildfires severely impacted air quality in the Midwest United States. Using the Weather Research and Forecasting Model with Chemistry (WRF‐Chem) and four biomass‐burning data sets (Fire Inventory from NCAR version 1, Fire Inventory from NCAR version 2.5 ...
Sicheng Wu +6 more
wiley +1 more source
Modelling Saharan dust transport into the Mediterranean basin with CMAQ [PDF]
The need for a better quantification of the influence of Saharan dust transport processes on the air quality modelling in the Mediterranean basin led to the formulation of a dust emission module (DEM) integrated into the Air Quality Risk Assessment System for the Iberian Peninsula (SERCA).
Vedrenne, Michel +10 more
openaire +3 more sources
Improving Machine Learning Based PM2.5 Prediction by Segregating Biomass Emission Factor from Chemical Transport Model [PDF]
Located in the heart of Mainland Southeast Asia, Thailand is associated with high biomass burning (BB) activities from local and neighbouring countries.
Sukprasert Supitcha +7 more
doaj +1 more source
Abstract Due to the COVID‐19 pandemic and changes in technology and energy consumption, recent years saw substantial variations in air pollution emissions, highlighting the importance of timely emission updates. In the United States, the level of surface ozone in many regions is close to the National Ambient Air Quality Standard, making it important to
Siqi Ma +8 more
wiley +1 more source
A regional carbon data assimilation system and its preliminary evaluation in East Asia [PDF]
In order to optimize surface CO2 fluxes at grid scales, a regional surface CO2 flux inversion system (Carbon Flux Inversion system and Community Multi-scale Air Quality, CFI-CMAQ) has been developed by applying the ensemble Kalman filter (EnKF) to ...
Z. Peng +4 more
doaj +1 more source
Abstract High spatiotemporal resolution air quality modeling is essential for air quality impact assessments and decision‐making for prescribed burns. Accurate representation of the heterogeneous distribution of fuels and the structure of smoke plumes requires high‐resolution modeling frameworks.
Zongrun Li +10 more
wiley +1 more source
Simulation of GOES-R ABI aerosol radiances using WRF-CMAQ: a case study approach [PDF]
In anticipation of the upcoming GOES-R launch we simulate visible and near-infrared reflectances of the Advanced Baseline Imager (ABI) for cases of high aerosol loading containing regional haze and smoke over the eastern United States.
S. A. Christopher
doaj +1 more source
Abstract Ecological community data are used to infer levels of environmental stressors; for example, epiphytic lichen communities can be used to estimate levels of air pollutants. If stressors are so severe that the community of interest disappears altogether, then “empty” plots are recorded.
Adrienne Kovasi +2 more
wiley +1 more source
A study on the aerosol optical properties over East Asia using a combination of CMAQ-simulated aerosol optical properties and remote-sensing data via a data assimilation technique [PDF]
To more accurately estimate direct radiative forcing (DRF) by aerosols, and better investigate particulate pollution over East Asia, precise calculations of the optical properties of aerosols, such as aerosol optical depth (AOD), single scattering albedo
R. S. Park +6 more
doaj +1 more source
WRFtailor: A Toolkit for Tailoring the WRF Model Input Data
Specialized toolkit for the WRF input data. User‐friendly, with simple installation process. Providing 5 distinct approaches to tailor the WRF input data. ABSTRACT WRFtailor is an open‐source toolkit offering a set of distinct functionalities to customise and tailor the Weather Research and Forecasting (WRF) model input data, such as WPS geographical ...
Amirhossein Nikfal
wiley +1 more source

