نتایج جستجو برای: global forcing set

تعداد نتایج: 1089002  

2005
T. R. KNUTSON T. L. DELWORTH K. W. DIXON M. D. SCHWARZKOPF G. STENCHIKOV R. J. STOUFFER

Historical climate simulations of the period 1861–2000 using two new Geophysical Fluid Dynamics Laboratory (GFDL) global climate models (CM2.0 and CM2.1) are compared with observed surface temperatures. All-forcing runs include the effects of changes in well-mixed greenhouse gases, ozone, sulfates, black and organic carbon, volcanic aerosols, solar flux, and land cover. Indirect effects of trop...

2006
Mark G. Flanner Charles S. Zender James T. Randerson Philip J. Rasch

[1] We apply our Snow, Ice, and Aerosol Radiative (SNICAR) model, coupled to a general circulation model with prognostic carbon aerosol transport, to improve understanding of climate forcing and response from black carbon (BC) in snow. Building on two previous studies, we account for interannually varying biomass burning BC emissions, snow aging, and aerosol scavenging by snow meltwater. We ass...

Journal: :Environmental science & technology 2010
Stig B Dalsøren Magnus S Eide Gunnar Myhre Oyvind Endresen Ivar S A Isaksen Jan S Fuglestvedt

The increase in civil world fleet ship emissions during the period 2000-2007 and the effects on key tropospheric oxidants are quantified using a global Chemical Transport Model (CTM). We estimate a substantial increase of 33% in global ship emissions over this period. The impact of ship emissions on tropospheric oxidants is mainly caused by the relatively large fraction of NOx in ship exhaust. ...

Journal: :European Journal of Operational Research 2006
Fu-Hsing Wang Yue-Li Wang Jou-Ming Chang

A vertex set D in graph G is called a geodetic set if all vertices of G are lying on some shortest u–v path of G, where u, v 2 D. The geodetic number of a graph G is the minimum cardinality among all geodetic sets. A subset S of a geodetic set D is called a forcing subset of D if D is the unique geodetic set containing S. The forcing geodetic number of D is the minimum cardinality of a forcing ...

2014
Drew T. Shindell

Understanding climate sensitivity is critical to projecting climate change in response to a given forcing scenario. Recent analyses1–3 have suggested that transient climate sensitivity is at the low end of the present model range taking into account the reduced warming rates during the past 10–15 years during which forcing has increased markedly4. In contrast, comparisons of modelled feedback p...

Journal: :Journal of the Air & Waste Management Association 2004
Stephen E Schwartz

The continuing increase in atmospheric carbon dioxide (CO2) makes it essential that climate sensitivity, the equilibrium change in global mean surface temperature that would result from a given radiative forcing, be quantified with known uncertainty. Present estimates are quite uncertain, 3 +/- 1.5 K for doubling of CO2. Model studies examining climate response to forcing by greenhouse gases an...

2015
BEN KRAVITZ DOUGLAS G. MACMARTIN PHILIP J. RASCH ANDREW J. JARVIS

The authors describe a newmethod of comparing different climate forcing agents (e.g., CO2 concentration, CH4 concentration, and total solar irradiance) in climate models that circumvents many of the difficulties associated with explicit calculations of efficacy. This is achieved by introducing an explicit feedback loop external to a climate model that adjusts one forcing agent to balance anothe...

Journal: :Discussiones Mathematicae Graph Theory 2011
A. P. Santhakumaran P. Titus

For any vertex x in a connected graph G of order p ≥ 2, a set S of vertices of V is an x-detour set of G if each vertex v in G lies on an x-y detour for some element y in S. A connected x-detour set of G is an x-detour set S such that the subgraph G[S] induced by S is connected. The minimum cardinality of a connected x-detour set of G is the connected x-detour number of G and is denoted by cdx(...

Journal: :Australasian J. Combinatorics 2007
Damir Vukicevic Tomislav Doslic

1998
F. Baer J. Mao R. G. Ellingson

Long wave radiation (LWR) forcing is determined in atmospheric global climate models (AGCMs) by a heating algorithm embedded in the model. These algorithms compute vertical heating rate (HR) profiles from profiles of temperature (T), moisture (Q), clouds, and minor atmospheric constituents; thus the HRs depend on the vertical structure of the input variables plus internal physics. The sensitivi...

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