The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning

被引:1185
|
作者
Wiedinmyer, C. [1 ]
Akagi, S. K. [2 ]
Yokelson, R. J. [2 ]
Emmons, L. K. [1 ]
Al-Saadi, J. A. [3 ]
Orlando, J. J. [1 ]
Soja, A. J. [4 ]
机构
[1] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[2] Univ Montana, Dept Chem, Missoula, MT 59812 USA
[3] NASA Headquarters, Washington, DC USA
[4] NASA Langley Res Ctr, Natl Inst Aerosp, Hampton, VA USA
基金
美国国家科学基金会;
关键词
INTERANNUAL VARIABILITY; BURNED-AREA; AIR-QUALITY; CO SOURCES; PART; BIOMASS; MODIS; GASES; AEROSOLS; FORMALDEHYDE;
D O I
10.5194/gmd-4-625-2011
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The Fire INventory from NCAR version 1.0 (FINNv1) provides daily, 1 km resolution, global estimates of the trace gas and particle emissions from open burning of biomass, which includes wildfire, agricultural fires, and prescribed burning and does not include biofuel use and trash burning. Emission factors used in the calculations have been updated with recent data, particularly for the non-methane organic compounds (NMOC). The resulting global annual NMOC emission estimates are as much as a factor of 5 greater than some prior estimates. Chemical speciation profiles, necessary to allocate the total NMOC emission estimates to lumped species for use by chemical transport models, are provided for three widely used chemical mechanisms: SAPRC99, GEOS-CHEM, and MOZART-4. Using these profiles, FINNv1 also provides global estimates of key organic compounds, including formaldehyde and methanol. Uncertainties in the emissions estimates arise from several of the method steps. The use of fire hot spots, assumed area burned, land cover maps, biomass consumption estimates, and emission factors all introduce error into the model estimates. The uncertainty in the FINNv1 emission estimates are about a factor of two; but, the global estimates agree reasonably well with other global inventories of biomass burning emissions for CO, CO2, and other species with less variable emission factors. FINNv1 emission estimates have been developed specifically for modeling atmospheric chemistry and air quality in a consistent framework at scales from local to global. The product is unique because of the high temporal and spatial resolution, global coverage, and the number of species estimated. FINNv1 can be used for both hindcast and forecast or near-real time model applications and the results are being critically evaluated with models and observations whenever possible.
引用
收藏
页码:625 / 641
页数:17
相关论文
共 50 条
  • [21] Emission inventory of crop residue open burning and its high-resolution spatial distribution in 2014 for Shandong province, China
    Gao, Rong
    Jiang, Wei
    Gao, Weidong
    Sun, Shida
    ATMOSPHERIC POLLUTION RESEARCH, 2017, 8 (03) : 545 - 554
  • [22] Global burned area and biomass burning emissions from small fires
    Randerson, J. T.
    Chen, Y.
    van der Werf, G. R.
    Rogers, B. M.
    Morton, D. C.
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2012, 117
  • [23] Crop residue open field burning in Pakistan; multi-year high spatial resolution emission inventory for 2000-2014
    Azhar, Ramisha
    Zeeshan, Muhammad
    Fatima, Khunsa
    ATMOSPHERIC ENVIRONMENT, 2019, 208 (20-33) : 20 - 33
  • [24] Air pollutant emissions from straw open burning: A case study in Tianjin
    Guan, Yanan
    Chen, Guanyi
    Cheng, Zhanjun
    Yan, Beibei
    Hou, Li'an
    ATMOSPHERIC ENVIRONMENT, 2017, 171 : 155 - 164
  • [25] Modeling of emissions from open biomass burning in Asia using the BlueSky framework
    Choi K.-C.
    Woo J.-H.
    Kim H.K.
    Choi J.
    Eum J.-H.
    Baek B.H.
    Asian Journal of Atmospheric Environment, 2013, 7 (1) : 25 - 37
  • [26] Near-real-time global biomass burning emissions product from geostationary satellite constellation
    Zhang, Xiaoyang
    Kondragunta, Shobha
    Ram, Jessica
    Schmidt, Christopher
    Huang, Ho-Chun
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
  • [27] Variations in FINN Emissions of Particulate Matters and Associated Carbonaceous Aerosols from Remote Sensing of Open Biomass Burning over Northeast China during 2002-2016
    Ma, Guoxu
    Zhao, Tianliang
    Kong, Shaofei
    Bao, Yansong
    Chen, Chao
    Gong, Sunling
    Guo, Jianping
    Yu, Chao
    Wu, Ming
    Chang, Jiacheng
    You, Yingchang
    SUSTAINABILITY, 2018, 10 (09)
  • [28] High-resolution inventory of atmospheric emissions from transport, industrial, energy, mining and residential activities in Chile
    Alamos, Nicolas
    Huneeus, Nicolas
    Opazo, Mariel
    Osses, Mauricio
    Puja, Sebastian
    Pantoja, Nicolas
    Denier van der Gon, Hugo
    Schueftan, Alejandra
    Reyes, Rene
    Calvo, Ruben
    EARTH SYSTEM SCIENCE DATA, 2022, 14 (01) : 361 - 379
  • [29] Estimation of emissions from biomass burning in China (2003-2017) based on MODIS fire radiative energy data
    Yin, Lifei
    Du, Pin
    Zhang, Minsi
    Liu, Mingxu
    Xu, Tingting
    Song, Yu
    BIOGEOSCIENCES, 2019, 16 (07) : 1629 - 1640
  • [30] A high-resolution and multi-year emissions inventory for biomass burning in Southeast Asia during 2001-2010
    Shi, Yusheng
    Yamaguchi, Yasushi
    ATMOSPHERIC ENVIRONMENT, 2014, 98 : 8 - 16