dc.contributor.author | Nurzahziani | |
dc.contributor.author | Surussavadee, Chinnawat | |
dc.contributor.author | Noosook, Thanchanok | |
dc.date.accessioned | 2020-05-28T15:53:30Z | |
dc.date.available | 2020-05-28T15:53:30Z | |
dc.date.issued | 2020-01-12 | |
dc.date.submitted | 2019-11 | |
dc.identifier.issn | 2073-4433 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/125554 | |
dc.description.abstract | This study evaluates the performance of the Weather Research and Forecasting Model with Chemistry (WRF-Chem) for simulating biomass burning aerosol transport at high resolution in the tropics using two different biomass burning emission inventories. Hourly, daily, and monthly average PM10 dry mass concentrations at 5 km resolution—simulated separately using the Brazilian Biomass Burning Emission Model (WRF-3BEM) and the Fire Inventory from NCAR (WRF-FINN) and their averages (WRF-AVG) for 3 months from February to April—are evaluated, using measurements from ground stations distributed in northern Thailand for 2014 and 2015. Results show that WRF-3BEM agrees well with observations and performs much better than WRF-FINN and WRF-AVG. WRF-3BEM simulations are almost unbiased, while those of WRF-FINN and WRF-AVG are significantly overestimated due to significant overestimates of FINN emissions. WRF-3BEM and the measured monthly average PM10 concentrations for all stations and both years are 89.22 and 87.20 μg m−3, respectively. The root mean squared error of WRF-3BEM simulated monthly average PM10 concentrations is 72.00 and 47.01% less than those of WRF-FINN and WRF-AVG, respectively. The correlation coefficient of WRF-3BEM simulated monthly PM10 concentrations and measurements is 0.89. WRF-3BEM can provide useful biomass burning aerosol transport simulations for the northern region of Thailand. Keywords: air quality modeling; biomass burning emissions; biomass burning aerosol transport simulation; northern region of Thailand; PM10 concentration; smoke haze episode | en_US |
dc.publisher | Multidisciplinary Digital Publishing Institute | en_US |
dc.relation.isversionof | 10.3390/atmos11010091 | en_US |
dc.rights | Creative Commons Attribution | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | Multidisciplinary Digital Publishing Institute | en_US |
dc.title | High-resolution biomass burning aerosol transport simulations in the tropics | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Nurzahziani, Chinnawat Surussavadee, and Thanchanok Noosook, "High-resolution biomass burning aerosol transport simulations in the tropics." Atmosphere 11, 1 (Jan. 2020): no. 91 doi 10.3390/atmos11010091 ©2020 Author(s) | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Research Laboratory of Electronics | en_US |
dc.relation.journal | Atmosphere | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-03-02T13:01:25Z | |
dspace.date.submission | 2020-03-02T13:01:25Z | |
mit.journal.volume | 11 | en_US |
mit.journal.issue | 1 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Complete | |