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El interés nacional como premisa de la política exterior

In document Política exterior y estabilidad estatal (página 147-157)

2. Agotamiento de modelo y crisis de poder

4.2 El interés nacional como premisa de la política exterior

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Just as the detection of terrestrial responses to solar activity initially signified the relevance of

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solar radiative forcing for understanding climate change, in lieu of direct observations of the

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forcing itself, so too does ongoing analyses of ever-lengthening terrestrial observations and

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newly extracted, high fidelity paleoclimate records continue to strengthen and expand the

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evidence. Using indicators such as sunspots and cosmogenic isotopes to identify times of high

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and low solar activity during the 11-, 80- and 210-year cycles, solar-related changes are

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identified in diverse climate parameters that range from low latitude drought and rainfall (e.g.,

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Verschuren et al., 2000; Neff et al., 2001; Haug et al., 2003; Antico & Torres, 2015), associated

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with Intertropical Convergence Zone displacement (Novello et al., 2016) and a La-Nina type

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response in the tropical Pacific (Mann et al., 2005), to mid-and high latitude ‘centers of action’

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(Christoforou & Hameed, 1997), storm tracks and winter intensity (e.g., Barriopedro et a., 2008;

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Mann et al., 2009; Lockwood et al., 2010), associated with the North Atlantic Oscillation and

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the circumpolar vortex.

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On global scales, climate signals related to the 11-year solar cycle were detected first in basin‐

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wide ocean temperatures (White et al., 1997) then in global lower tropospheric temperature

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(Michaels & Knappenberger, 2000). Observational temperature and ozone databases are now

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sufficiently long that statistical analyses readily isolate in them solar responses, both globally

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and regionally, from other concurrent influences (Douglass & Clader, 2002; Lean and Rind,

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2008; Foster & Rahmstorf, 2011). Figure 8.3 shows the solar cycle component, thus extracted,

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of <0.1oC in global surface temperature and <3 DU (1%) in total ozone compared with natural

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(volcanic, ENSO, QBO) and anthropogenic (greenhouse gases and ozone depleting substances)

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components and Figure 8.4 shows the corresponding geographical response patterns. These

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estimates of climate’s response to solar forcing are attained by linearly regressing indices of the

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simultaneous natural and anthropogenic influences against (de-seasonalized) monthly mean surface

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temperature (Figure 8.3a) and total ozone (Figure 8.3b) observations from 1979 to 2017 (Lean,

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2017, 2018b). 3242

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Time dependent simulations of climate’s response to solar radiative forcing on climatological

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time scales became possible with the reconstruction of historical solar irradiance. Simulations

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using energy balance models initially suggested that the global surface temperature response to

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reconstructed solar irradiance cycles since 1874 (Foukal & Lean, 1990) was likely undetectable,

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the transient response of 0.03°C being notably smaller than the equilibrium response because of

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attenuation (~80%) by the thermal inertia of the ocean (Wigley & Raper, 1990). But subsequent

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analysis of historical surface temperature observations did detect a solar cycle response of

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0.06°C by statistically extracting the modelled spatial pattern of the response to the forcing

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(Stevens & North, 1996).

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The first general circulation model simulations of climate’s response to time-dependent solar

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radiative forcing found a global surface temperature increase of ~0.5°C since the Maunder

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Minimum (Cubacsh et al., 1997; Rind et al., 1999). Decreased solar irradiance during the

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Spörer, Maunder and Dalton solar activity minima (Eddy, 1976) and enhanced volcanic activity

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are posited causes of anomalously cold surface temperatures from ~1300 to 1850, during the

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Little Ice Age (e.g., Mann et al., 2005, 2009). Even though the simulations input a factor of five

(Wang et al., 2005), they nevertheless identified that water vapor feedbacks, cloud cover

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changes and land-sea contrasts contribute to the surface response to solar radiative forcing, with

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enhanced warming in sub-tropical regions similar to that forced by increasing greenhouse gas

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concentrations. The simulations further established that variations in solar irradiance were

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unlikely to be the primary cause of global warming in the postindustrial period, as some

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statistical correlations between solar cycle length and northern hemisphere temperature had

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suggested (Friis-Christensen & Lassen, 1991).

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State-of-the-art general circulation models now include couplings between the land, ocean and

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atmosphere, functional middle atmospheres with ozone chemistry, and the ability to input

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realistic solar spectral irradiance changes. Analyses of ensembles of simulations made with

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various such models, designed to isolate responses of different terrestrial regimes to solar

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radiative forcing, demonstrate both a direct response of the land and ocean, dependent in part on

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the regional distribution of clouds, and an indirect response facilitated by stratospheric ozone

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and temperature changes (Rind et al., 2008; Meehl et al., 2009). Convective and dynamical

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processes disperse the forcing geographically and altitudinally, altering extant dynamical

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patterns such as the Hadley and Walker circulations and impacting, in particular, the

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hydrological cycle. IPCC’s AR5 climate assessment included simulations made with 13 models

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that resolve the stratosphere (Mitchell et al., 2015), 6 of which include interactive ozone

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chemistry (Hood et al., 2015). Modeled responses to solar cycle irradiance changes are evident

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at the surface, in the ocean (Misios et al., 2015) and in the troposphere, stratosphere and ozone

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layer (Hood et al., 2015). While the simulated responses are generally of smaller magnitude

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than in observations (e.g., global mean surface warming of 0.07oC), the processes and patterns

are qualitatively similar, including changes in precipitation and water vapor leading to weaker

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Walker circulation (Misios et al., 2015) and a stratosphere-related North Atlantic surface

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response (Mitchell et al., 2015).

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Figure 8.4 compares statistically-extracted geographical patterns of the terrestrial response to

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solar radiative forcing with estimates made by a physical climate model (Rind et al., 2008).

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Differences between the physical and statistical model patterns suggest that deficiencies remain

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in one or both. Uncertainties in the hundreds of parameterizations that seek to account for the

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multiple integrated processes that heat the land and ocean, and redistribute this heat regionally

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and vertically, compromise physical model simulations. Statistical models suffer from

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uncertainties in the predictors and covariance among them (such as between solar and

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anthropogenic indices), including distinguishing whether covariance is physically based or

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random. The limited duration of the most reliable observations and indices exacerbate such

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uncertainties. Articulating and reconciling differences between the statistical and physical

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models is expected to improve understanding of process that facilitate terrestrial responses to

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solar radiative forcing, and may help improve physical model parameterizations of these

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processes. It is increasingly apparent that solar radiative forcing initiates a continuous spectrum

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of coupled interactions throughout Earth’s land, ocean and atmosphere on multiple time scales

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with different and interrelated regional dependencies. Differential heating of the land and

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oceans, equator and poles, and surface and atmosphere drive these responses; the processes

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involved are those by which climate responds to other radiative forcings, including by

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increasing greenhouse gas concentrations, albeit with different, magnitude, timing and regional

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detail.

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In document Política exterior y estabilidad estatal (página 147-157)