Windows on the greenhouse

Brook, E.

doi:10.1038/453291a

Cited by 18 publications

(9 citation statements)

References 13 publications

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“…Petroleum, coal and natural gas are the primary supplies of energy, while at the same time they are the principle sources of CO 2 emissions into the atmosphere [9,11]. Normally, electrons and protons are required to make renewable fuels and they can be obtained from oxidation of water, which is the one and only truly plentiful and attractive candidate to be used as a raw material for the production of hydrogen and oxygen from catalytic water splitting utilizing abundant solar energy [12e14].…”

Section: Introductionmentioning

confidence: 99%

Biomimetic molecular water splitting catalysts for hydrogen generation

Joya

Groot

2012

International Journal of Hydrogen Energy

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Section: Introductionmentioning

confidence: 99%

Biomimetic molecular water splitting catalysts for hydrogen generation

Joya

Groot

2012

International Journal of Hydrogen Energy

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“…Temporal variation. Temperature data reconstructions over one or more glacial cycles typically show relatively sharp gradients which are superimposed by small-scale fluctuations [4]. Note that, in this context, "sharp" has to be interpreted in relation to the considered time ranges of several hundred thousands of years.…”

Section: Albedomentioning

confidence: 99%

A micro/macro parallel-in-time (parareal) algorithm applied to a climate model with discontinuous non-monotone coefficients and oscillatory forcing

Samaey¹,

Slawig²

2018

Preprint

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We present the application of a micro/macro parareal algorithm for a 1-D energy balance climate model with discontinuous and non-monotone coefficients and forcing terms. The micro/macro parareal method uses a coarse propagator, based on a (macroscopic) 0-D approximation of the underlying (microscopic) 1-D model. We compare the performance of the method using different versions of the macro model, as well as different numerical schemes for the micro propagator, namely an explicit Euler method with constant stepsize and an adaptive library routine. We study convergence of the method and the theoretical gain in computational time in a realization on parallel processors. We show that, in this example and for all settings, the micro/macro parareal method converges in fewer iterations than the number of used parareal subintervals, and that a theoretical gain in performance of up to 10 is possible.

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“…Similar data plots are found in Chemistry in Context from data for the past 400 000 years and the ACS Climate Science Toolkit from data for the past 650 000 years. However, results from the European Project for Ice Coring in the Antarctic (EPICA) at its Dome C location in the East Antarctic now allow access to ice-core data that span approximately the last 800 000 years . The additional data allow for the confirmation of previous trends noted from the less complete data sets, and the establishment of new ones that were not found for the shorter time spans.…”

Section: Keeping Current and Adding Ice-core Data Sourcesmentioning

confidence: 99%