Comment on egusphere-2023-1650 DOI Creative Commons
Yinbao Jin, Yiming Liu, Xiao Lu

и другие.

Опубликована: Окт. 13, 2023

Abstract. Despite significant advancements in improving the dataset for biomass burning (BB) emissions over past few decades, uncertainties persist BB aerosol emissions, impeding accurate assessment of simulated optical properties (AOPs) and direct radiative forcing (DRF) during wildfire events global regional models. This study assessed AOPs (including depth (AOD), absorption (AAOD), extinction coefficients (AEC)) DRF using eight independent emission inventories applied to WRF-Chem model period (March 2019) Peninsular Southeast Asia (PSEA), where were Global Fire Emissions Database version 4.1s (GFED), INventory from NCAR 1.5 (FINN1.5), Inventory 2.5 MOS (MODIS fire detections, FINN2.5 MOS), MOSVIS (MODIS+VIIRS MOSVIS), Assimilation System 1.2s (GFAS), Energetics Research 1.0 (FEER), Quick Dataset release 1 (QFED), Integrated Monitoring Modelling Wildland FIRES Project 2.0 (IS4FIRES), respectively. The results show that PSEA region, organic carbon (OC) differ by a factor about 9 (0.295–2.533 Tg/M), with 1.09 ± 0.83 Tg/M coefficient variation (CV) 76 %. High-concentration OC occurred primarily savanna agricultural fires. GFED GFAS are significantly lower than other inventories. VISMOS approximately twice as high those FINN1.5. Sensitivity analysis AOD different datasets indicated FINN scenarios (v1.5 2.5) overestimate compared observation (VIIRS), while underestimate (HAOD, AOD>1) regions range 97–110° E, 15–22.5° N. Among schemes, IS4FIRES FINN1.5 performed better terms simulation consistency bias HAOD region when AERONET sites. AAOD was satellite observations (TROPOMI) data, it found schemes did not perform well AOD. overestimation 2.5), FEER, largest MOSVIS. representing at sites within region. always best correlation observations. AEC all trends consistent CALIPSO vertical direction (0.5 km 4 km), demonstrating efficacy smoke plume rise used simulate heights. However, overestimated AEC, underestimated it. In aerosols exhibited daytime shortwave -32.60±24.50 W/m2 surface, positive (1.70±1.40 W/m2) atmosphere, negative (-30.89±23.6 top atmosphere. Based on analysis, recommended accurately assessing impact air quality climate

Язык: Английский

Relationship between aerosol and cloud characteristics over Delhi in North India during the dry and wet season DOI

Pradeep Kumar Verma,

A. K. Srivastava, Sheo Prasad Shukla

и другие.

Journal of Atmospheric and Solar-Terrestrial Physics, Год журнала: 2024, Номер 258, С. 106233 - 106233

Опубликована: Апрель 9, 2024

Язык: Английский

Процитировано

0
Evaluation and comparison of MODIS and MISR aerosol products with ground-based monitoring stations in the Amazon Basin DOI
Vanúcia Schumacher, Alberto Setzer, Vitor S. Martins

и другие.

Atmospheric Environment, Год журнала: 2024, Номер 331, С. 120597 - 120597

Опубликована: Май 21, 2024

Язык: Английский

Процитировано

0
Trends and classification of aerosol observed from MODIS sensor over Northern Europe and the Arctic DOI
Kyung Man Han,

Chang Hoon Jung,

Chul H. Song

и другие.

Atmospheric Pollution Research, Год журнала: 2024, Номер unknown, С. 102329 - 102329

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

0
Comment on egusphere-2023-1650 DOI Creative Commons
Yinbao Jin, Yiming Liu, Xiao Lu

и другие.

Опубликована: Окт. 12, 2023

Abstract. Despite significant advancements in improving the dataset for biomass burning (BB) emissions over past few decades, uncertainties persist BB aerosol emissions, impeding accurate assessment of simulated optical properties (AOPs) and direct radiative forcing (DRF) during wildfire events global regional models. This study assessed AOPs (including depth (AOD), absorption (AAOD), extinction coefficients (AEC)) DRF using eight independent emission inventories applied to WRF-Chem model period (March 2019) Peninsular Southeast Asia (PSEA), where were Global Fire Emissions Database version 4.1s (GFED), INventory from NCAR 1.5 (FINN1.5), Inventory 2.5 MOS (MODIS fire detections, FINN2.5 MOS), MOSVIS (MODIS+VIIRS MOSVIS), Assimilation System 1.2s (GFAS), Energetics Research 1.0 (FEER), Quick Dataset release 1 (QFED), Integrated Monitoring Modelling Wildland FIRES Project 2.0 (IS4FIRES), respectively. The results show that PSEA region, organic carbon (OC) differ by a factor about 9 (0.295–2.533 Tg/M), with 1.09 ± 0.83 Tg/M coefficient variation (CV) 76 %. High-concentration OC occurred primarily savanna agricultural fires. GFED GFAS are significantly lower than other inventories. VISMOS approximately twice as high those FINN1.5. Sensitivity analysis AOD different datasets indicated FINN scenarios (v1.5 2.5) overestimate compared observation (VIIRS), while underestimate (HAOD, AOD>1) regions range 97–110° E, 15–22.5° N. Among schemes, IS4FIRES FINN1.5 performed better terms simulation consistency bias HAOD region when AERONET sites. AAOD was satellite observations (TROPOMI) data, it found schemes did not perform well AOD. overestimation 2.5), FEER, largest MOSVIS. representing at sites within region. always best correlation observations. AEC all trends consistent CALIPSO vertical direction (0.5 km 4 km), demonstrating efficacy smoke plume rise used simulate heights. However, overestimated AEC, underestimated it. In aerosols exhibited daytime shortwave -32.60±24.50 W/m2 surface, positive (1.70±1.40 W/m2) atmosphere, negative (-30.89±23.6 top atmosphere. Based on analysis, recommended accurately assessing impact air quality climate

Язык: Английский

Процитировано

0
Comment on egusphere-2023-1650 DOI Creative Commons
Yinbao Jin, Yiming Liu, Xiao Lu

и другие.

Опубликована: Окт. 13, 2023

Abstract. Despite significant advancements in improving the dataset for biomass burning (BB) emissions over past few decades, uncertainties persist BB aerosol emissions, impeding accurate assessment of simulated optical properties (AOPs) and direct radiative forcing (DRF) during wildfire events global regional models. This study assessed AOPs (including depth (AOD), absorption (AAOD), extinction coefficients (AEC)) DRF using eight independent emission inventories applied to WRF-Chem model period (March 2019) Peninsular Southeast Asia (PSEA), where were Global Fire Emissions Database version 4.1s (GFED), INventory from NCAR 1.5 (FINN1.5), Inventory 2.5 MOS (MODIS fire detections, FINN2.5 MOS), MOSVIS (MODIS+VIIRS MOSVIS), Assimilation System 1.2s (GFAS), Energetics Research 1.0 (FEER), Quick Dataset release 1 (QFED), Integrated Monitoring Modelling Wildland FIRES Project 2.0 (IS4FIRES), respectively. The results show that PSEA region, organic carbon (OC) differ by a factor about 9 (0.295–2.533 Tg/M), with 1.09 ± 0.83 Tg/M coefficient variation (CV) 76 %. High-concentration OC occurred primarily savanna agricultural fires. GFED GFAS are significantly lower than other inventories. VISMOS approximately twice as high those FINN1.5. Sensitivity analysis AOD different datasets indicated FINN scenarios (v1.5 2.5) overestimate compared observation (VIIRS), while underestimate (HAOD, AOD>1) regions range 97–110° E, 15–22.5° N. Among schemes, IS4FIRES FINN1.5 performed better terms simulation consistency bias HAOD region when AERONET sites. AAOD was satellite observations (TROPOMI) data, it found schemes did not perform well AOD. overestimation 2.5), FEER, largest MOSVIS. representing at sites within region. always best correlation observations. AEC all trends consistent CALIPSO vertical direction (0.5 km 4 km), demonstrating efficacy smoke plume rise used simulate heights. However, overestimated AEC, underestimated it. In aerosols exhibited daytime shortwave -32.60±24.50 W/m2 surface, positive (1.70±1.40 W/m2) atmosphere, negative (-30.89±23.6 top atmosphere. Based on analysis, recommended accurately assessing impact air quality climate

Язык: Английский

Процитировано

0