首页|Data Assimilation Enhances WRF-Chem Performance in Modeling Volcanic Ash Clouds from Hunga Tonga-Hunga Ha'apai Eruption

Data Assimilation Enhances WRF-Chem Performance in Modeling Volcanic Ash Clouds from Hunga Tonga-Hunga Ha'apai Eruption

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Data Assimilation Enhances WRF-Chem Performance in Modeling Volcanic Ash Clouds from Hunga Tonga-Hunga Ha'apai Eruption
Volcanic eruptions release large amounts of ash clouds and gas aerosols into the atmosphere,which can be simu-lated by air quality prediction models.However,the performance of these models remains unsatisfactory,even though both relevant physics and chemistry are considered.Hence,exploring the approaches for improvement such as inclusion of data assimilation is significative.In this study,we depict the modeling of the volcanic ash dispersion from the Hunga Tonga-Hunga Ha'apai underwater volcano,which erupted in a series of large explosions in late December 2021 and early January 2022.On 15 January 2022,a particularly significant explosion sent a massive ash cloud high into the atmosphere.We used the inline Weather Research and Forecasting model coupled with chemistry(WRF-Chem)and incorporated meteorological data assimilation within the Flux Adjusting Surface Data Assimila-tion System(FASDAS).We compared three forecast scenarios:one with only meteorology and no chemistry(OMET),one with gas and aerosol chemistry and no assimilation(NODA),and one with both chemistry and assimil-ation(FASDAS).We found that FASDAS resulted in lower planetary boundary layer height(PBLH),downward sur-face shortwave flux,and 2-m temperature by up to 800 m,200 W m-2,and 6℃ on the land portion,respectively,while the opposite was observed near the eruption site.We validated the model against the observations and the res-ults showed that FASDAS significantly enhanced the model performance in retrieving meteorological variables.However,the simulations also revealed significant biases in the concentration of volcanic ash around the ash clouds.Data from the Copernicus TROPOspheric Monitoring Instrument Sentinel-5 Precursor(TROPOMI-S5P)showed a westward trend of the total SO2 emissions.This work demonstrates the significant contribution of data assimilation to the results of operational air quality predictions during violent volcanic eruption events.

Hunga Tonga-Hunga Ha'apai volcanoWRF-ChemFlux Adjusting Surface Data Assimilation System(FASDAS)data assimilationSO2TROPOspheric Monitoring Instrument Sentinel-5 Precursor(TRO-POMI-S5P)

Hosni SNOUN、Mohammad Mosaed ALAHMADI、Amirhossein NIKFAL、Abderrazak ARIF、William HATHEWAY、Meznah A.ALAMRO、Alaeddine MIHOUB、Moez KRICHEN

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Numthaja Co.,Ltd.,Jeddah 23345,Saudi Arabia

Jülich Supercomputing Centre(JSC),Forschungszentrum Jülich,Jülich 52428,Germany

Institut National de la Météorologie,Tunis Carthage 2035,Tunisia

Free Researcher,Austin 78666,Texas,USA

Department of Information Technology,College of Computer & Information Science,Princess Nourah Bint Abdul Rahman University,Riyadh 11564,Saudi Arabia

Department of Management Information Systems and Production Management,College of Business and Economics,Qassim University,Buraidah 51452,Saudi Arabia

Faculty of Computer Science and Information Technology(FCSIT),Al-Baha University,Al-Baha 65528,Saudi Arabia

ReDCAD Laboratory,University of Sfax,Sfax 3038,Tunisia

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Hunga Tonga-Hunga Ha'apai volcano WRF-Chem Flux Adjusting Surface Data Assimilation System(FASDAS) data assimilation SO2 TROPOspheric Monitoring Instrument Sentinel-5 Precursor(TRO-POMI-S5P)

2024

10.1007/s13351-024-4029-6

气象学报(英文版)
中国气象学会

气象学报(英文版)

CSTPCD
影响因子：0.57
ISSN：0894-0525
年,卷(期)：2024.38(6)