The effects of aircraft on climate and pollution. Part I: Numerical methods for treating the subgrid evolution of discrete size- and composition-resolved contrails from all commercial flights worldwide

被引:28
作者
Jacobson, M. Z. [1 ]
Wilkerson, J. T. [1 ]
Naiman, A. D. [2 ]
Lele, S. K. [2 ]
机构
[1] Stanford Univ, Dept Civil & Environm Engn, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Aeronaut & Astronaut, Stanford, CA 94305 USA
关键词
Aerosol microphysical algorithms; Numerical methods; 3-D computer models; Aerosol composition; Aerosol-cloud interactions; COALESCENCE EFFICIENCIES; ARCTIC HAZE; MODEL; CIRRUS; ICE; DISTRIBUTIONS; CLOUD; PARAMETERIZATION; SIMULATIONS; NUCLEATION;
D O I
10.1016/j.jcp.2011.03.031
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper provides and evaluates mass conservative, positive-definite, unconditionally-stable, and non-iterative numerical techniques for simulating the evolution of discrete, size- and composition-resolved aerosol and contrail particles in individual aircraft exhaust plumes in a global or regional 3-D atmospheric model and coupling the subgrid exhaust plume information to the grid scale. Such treatment represents a new method of simulating the effects of aircraft on climate, contrails, and atmospheric composition. Microphysical processes solved within each plume include size-resolved coagulation among and between aerosol and contrail particles and their inclusions, aerosol-to-hydrometeor particle ice and liquid nucleation, deposition/sublimation, and condensation/evaporation. Each plume has its own emission and supersaturation, and the spreading and shearing of each plume's cross-section are calculated as a function of time. Aerosol- and contrail-particle core compositions are tracked for each size and affect optical properties in each plume. When line contrails sublimate/evaporate, their size- and composition-resolved aerosol cores and water vapor are added to the grid scale where they affect large-scale clouds. Algorithm properties are analyzed, and the end-result model is evaluated against in situ and satellite data. (C) 2011 Elsevier Inc. All rights reserved.
引用
收藏
页码:5115 / 5132
页数:18
相关论文
共 54 条
[1]  
[Anonymous], 1998, Microphysics of clouds and precipitation
[2]   Contrails to cirrus - Morphology, microphysics, and radiative properties [J].
Atlas, D ;
Wang, Z ;
Duda, DP .
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2006, 45 (01) :5-19
[3]   COLLECTION AND COALESCENCE EFFICIENCIES FOR ACCRETION [J].
BEARD, KV ;
OCHS, HT .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1984, 89 (ND5) :7165-7169
[4]   Process-based simulation of contrail cirrus in a global climate model [J].
Burkhardt, Ulrike ;
Kaercher, Bernd .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2009, 114
[5]  
DEMOTT PJ, 1990, J APPL METEOROL, V29, P1072, DOI 10.1175/1520-0450(1990)029<1072:AESOIN>2.0.CO
[6]  
2
[7]   Relating observations of contrail persistence to numerical weather analysis output [J].
Duda, D. P. ;
Palikonda, R. ;
Minnis, P. .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2009, 9 (04) :1357-1364
[8]   Estimated contrail frequency and coverage over the contiguous United States from numerical weather prediction analyses and flight track data [J].
Duda, DP ;
Minnis, P ;
Palikonda, R .
METEOROLOGISCHE ZEITSCHRIFT, 2005, 14 (04) :537-548
[9]  
Duda DP, 2004, J ATMOS SCI, V61, P1132, DOI 10.1175/1520-0469(2004)061<1132:ACSOTD>2.0.CO
[10]  
2