High resolution temporal profiles in the Emissions Database for Global Atmospheric Research

被引:384
作者
Crippa, Monica [1 ]
Solazzo, Efisio [1 ]
Huang, Ganlin [2 ]
Guizzardi, Diego [1 ]
Koffi, Ernest [1 ]
Muntean, Marilena [1 ]
Schieberle, Christian [2 ]
Friedrich, Rainer [2 ]
Janssens-Maenhout, Greet [1 ]
机构
[1] European Commiss, JRC, Ispra, Italy
[2] Univ Stuttgart, Inst Energy Econ & Rational Energy Use IER, Hessbruehlstr 49a, D-70565 Stuttgart, Germany
关键词
METHANE EMISSION; MODELING SYSTEMS; TRANSPORT MODEL; AIR-POLLUTANTS; CO2; EMISSIONS; CHINA; CH4; INVENTORY; AEROSOLS; GASES;
D O I
10.1038/s41597-020-0462-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Emissions into the atmosphere from human activities show marked temporal variations, from inter-annual to hourly levels. The consolidated practice of calculating yearly emissions follows the same temporal allocation of the underlying annual statistics. However, yearly emissions might not reflect heavy pollution episodes, seasonal trends, or any time-dependant atmospheric process. This study develops high-time resolution profiles for air pollutants and greenhouse gases co- emitted by anthropogenic sources in support of atmospheric modelling, Earth observation communities and decision makers. The key novelties of the Emissions Database for Global Atmospheric Research (EDGAR) temporal profiles are the development of (i) country/region- and sector- specific yearly profiles for all sources, (ii) time dependent yearly profiles for sources with inter-annual variability of their seasonal pattern, (iii) country- specific weekly and daily profiles to represent hourly emissions, (iv) a flexible system to compute hourly emissions including input from different users. This work creates a harmonized emission temporal distribution to be applied to any emission database as input for atmospheric models, thus promoting homogeneity in inter-comparison exercises.
引用
收藏
页数:17
相关论文
共 66 条
[1]  
Adolph D., 1997, BERECHNUNG ZEITLICH
[2]   Monthly, global emissions of carbon dioxide from fossil fuel consumption [J].
Andres, R. J. ;
Gregg, J. S. ;
Losey, L. ;
Marland, G. ;
Boden, T. A. .
TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY, 2011, 63 (03) :309-327
[3]  
Asman W. A. H, 1992, 22861008 NAT I PUBL
[4]   A global degree days database for energy-related applications [J].
Atalla, Tarek ;
Gualdi, Silvio ;
Lanza, Alessandro .
ENERGY, 2018, 143 :1048-1055
[5]   Atmospheric CH4 in the first decade of the 21st century: Inverse modeling analysis using SCIAMACHY satellite retrievals and NOAA surface measurements [J].
Bergamaschi, P. ;
Houweling, S. ;
Segers, A. ;
Krol, M. ;
Frankenberg, C. ;
Scheepmaker, R. A. ;
Dlugokencky, E. ;
Wofsy, S. C. ;
Kort, E. A. ;
Sweeney, C. ;
Schuck, T. ;
Brenninkmeijer, C. ;
Chen, H. ;
Beck, V. ;
Gerbig, C. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (13) :7350-7369
[6]   The annual cycle of fossil-fuel carbon dioxide emissions in the United States [J].
Blasing, TJ ;
Broniak, CT ;
Marland, G .
TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY, 2005, 57 (02) :107-115
[7]  
Builtjes P. J. H, 1992, R92245 TNO TNOMW
[8]  
CDS, 2017, COP CLIM CHANG C3S E
[9]  
Crippa M, 2019, HIGH RESOLUTION TEMP, DOI [10.2904/JRC_DATASET_EDGAR, DOI 10.2904/JRC_DATASET_EDGARCRIPPA]
[10]  
Crippa M, 2019, HIGH RESOLUTION TEMP, DOI [10.6084/m9.figshare.c.4780547, DOI 10.6084/M9.FIGSHARE.C.4780547]