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
  • [41] High temperature sensitivity of monoterpene emissions from global vegetation
    Bourtsoukidis, Efstratios
    Pozzer, Andrea
    Williams, Jonathan
    Makowski, David
    Penuelas, Josep
    Matthaios, Vasileios N.
    Lazoglou, Georgia
    Yanez-Serrano, Ana Maria
    Lelieveld, Jos
    Ciais, Philippe
    Vrekoussis, Mihalis
    Daskalakis, Nikos
    Sciare, Jean
    COMMUNICATIONS EARTH & ENVIRONMENT, 2024, 5 (01):
  • [42] MODIS-Derived Fire Characteristics and Greenhouse Gas Emissions from Cropland Residue Burning in Central India
    Ray, Tapas
    Khan, Mohammed Latif
    Qureshi, Asif
    Verma, Satyam
    SUSTAINABILITY, 2022, 14 (24)
  • [43] Origins of black carbon from anthropogenic emissions and open biomass burning transported to Xishuangbanna, Southwest China
    Liu, Xuyan
    Wang, Siwen
    Zhang, Qianqian
    Jiang, Chunlai
    Liang, Linlin
    Tang, Shihao
    Zhang, Xingying
    Han, Xiuzhen
    Zhu, Lin
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2023, 125 : 277 - 289
  • [44] Model comparisons for estimating carbon emissions from North American wildland fire
    French, Nancy H. F.
    de Groot, William J.
    Jenkins, Liza K.
    Rogers, Brendan M.
    Alvarado, Ernesto
    Amiro, Brian
    de Jong, Bernardus
    Goetz, Scott
    Hoy, Elizabeth
    Hyer, Edward
    Keane, Robert
    Law, B. E.
    McKenzie, Donald
    McNulty, Steven G.
    Ottmar, Roger
    Perez-Salicrup, Diego R.
    Randerson, James
    Robertson, Kevin M.
    Turetsky, Merritt
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2011, 116
  • [45] Anthropogenic impacts on global storage and emissions of mercury from terrestrial soils: Insights from a new global model
    Smith-Downey, Nicole V.
    Sunderland, Elsie M.
    Jacob, Daniel J.
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2010, 115
  • [46] Development and Assessment of a High-Resolution Biogenic Emission Inventory from Urban Green Spaces in China
    Ma, Mingchen
    Gao, Yang
    Ding, Aijun
    Su, Hang
    Liao, Hong
    Wang, Shuxiao
    Wang, Xuemei
    Zhao, Bin
    Zhang, Shaoqing
    Fu, Pingqing
    Guenther, Alex B.
    Wang, Minghuai
    Li, Shenshen
    Chu, Biwu
    Yao, Xiaohong
    Gao, Huiwang
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2022, 56 (01) : 175 - 184
  • [47] Emissions from residential combustion sector: how to build a high spatially resolved inventory
    Silveira, Carlos
    Ferreira, Joana
    Monteiro, Alexandra
    Miranda, Ana Isabel
    Borrego, Carlos
    AIR QUALITY ATMOSPHERE AND HEALTH, 2018, 11 (03): : 259 - 270
  • [48] A high-resolution emission inventory of air pollutants from primary crop residue burning over Northern India based on VIIRS thermal anomalies
    Singh, Tanbir
    Biswal, Akash
    Mor, Sahil
    Ravindra, Khaiwal
    Singh, Vikas
    Mor, Suman
    ENVIRONMENTAL POLLUTION, 2020, 266
  • [49] Spatial and temporal variations of open straw burning based on fire spots in northeast China from 2013 to 2017
    Cui, Song
    Song, Zihan
    Zhang, Leiming
    Shen, Zhenxing
    Hough, Rupert
    Zhang, Zulin
    An, Lihui
    Fu, Qiang
    Zhao, Yanchao
    Jia, Zhaoyang
    ATMOSPHERIC ENVIRONMENT, 2021, 244
  • [50] Estimating the open biomass burning emissions in central and eastern China from 2003 to 2015 based on satellite observation
    Wu, Jian
    Kong, Shaofei
    Wu, Fangqi
    Cheng, Yi
    Zheng, Shurui
    Yan, Qin
    Zheng, Huang
    Yang, Guowei
    Zheng, Mingming
    Liu, Dantong
    Zhao, Delong
    Qi, Shihua
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (16) : 11623 - 11646