Icehouse Effect: A Selective Arctic Cooling Trend Current Models are Missing

The icehouse effect is a hypothesized climate feedback mechanism which could result in human-caused surface cooling trends in polar regions. Once understood in detail, it becomes apparent that these trends, which are discernable in the literature, but have been largely dismissed, do not conflict wit...

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Main Authors: Wetzel, Peter J., Starr, David OC.
Format: Other/Unknown Material
Language:unknown
Published: 2001
Subjects:
Online Access:http://hdl.handle.net/2060/20010083083
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spelling ftnasantrs:oai:casi.ntrs.nasa.gov:20010083083 2023-05-15T14:52:25+02:00 Icehouse Effect: A Selective Arctic Cooling Trend Current Models are Missing Wetzel, Peter J. Starr, David OC. Unclassified, Unlimited, Publicly available [2001] application/pdf http://hdl.handle.net/2060/20010083083 unknown Document ID: 20010083083 http://hdl.handle.net/2060/20010083083 No Copyright CASI Environment Pollution 1st International Conference on Global Warming; 19-24 Aug. 2001; Halifax; Canada 2001 ftnasantrs 2019-07-21T02:44:40Z The icehouse effect is a hypothesized climate feedback mechanism which could result in human-caused surface cooling trends in polar regions. Once understood in detail, it becomes apparent that these trends, which are discernable in the literature, but have been largely dismissed, do not conflict with the consensus assessment of the evidence, which infers century-scale Arctic warming. In fact, confirmation of the hypothesis would substantially strengthen the argument that there is a detectable human influence on today's climate. This apparent enigma is resolved only through careful attention to the detail of the hypothesis and the data supporting it. The posited surface cooling is entirely dependent on the existence of climate warming in layers capping the stable boundary layer. Also, the cooling is not pandemic, but is selective. It is readily revealed in properly sorted data by making use of the principles of micrometeorological similarity. Specifically, the cooling is manifest under a range of favorable turbulence conditions which can develop and disappear locally on time scales of minutes to hours because of the intrinsically intermittent nature of stable boundary layer turbulence. Because of the fine-scale nature of the processes which produce the cooling, modeling it is a difficult proposition. Vertical resolution on the order of 1 meter is required. Adequate models of intermittent surface fluxes coupled with radiation exchange do not currently exist, not as parameterizations for aggregated systems, nor in large eddy simulation (LES) models. This presentation will introduce the theory. An important testable null hypothesis emerges: the icehouse effect produces a unique signature or "fingerprint" which could not be produced by any other known process. The presence of this signature will be demonstrated using nearly all available Arctic temperature observations. Its aggregate effect is clearly found in Arctic monthly surface temperature trends when sorted by climatological stability. Using all available Arctic rawinsonde ascents - about 1.1 million profiles, "frozen moments" of the icehouse processes are captured in various states. Because turbulent time scales are so short in the stable boundary layer. each of these snapshots can be treated as independent -- their chronology is irrelevant. Micrometeorological similarity is invoked to reassemble the soundings into bins of similar stability and it is in a wide, coherent range of these stability bins where the cooling effect is revealed. Other/Unknown Material Arctic NASA Technical Reports Server (NTRS) Arctic
institution Open Polar
collection NASA Technical Reports Server (NTRS)
op_collection_id ftnasantrs
language unknown
topic Environment Pollution
spellingShingle Environment Pollution
Wetzel, Peter J.
Starr, David OC.
Icehouse Effect: A Selective Arctic Cooling Trend Current Models are Missing
topic_facet Environment Pollution
description The icehouse effect is a hypothesized climate feedback mechanism which could result in human-caused surface cooling trends in polar regions. Once understood in detail, it becomes apparent that these trends, which are discernable in the literature, but have been largely dismissed, do not conflict with the consensus assessment of the evidence, which infers century-scale Arctic warming. In fact, confirmation of the hypothesis would substantially strengthen the argument that there is a detectable human influence on today's climate. This apparent enigma is resolved only through careful attention to the detail of the hypothesis and the data supporting it. The posited surface cooling is entirely dependent on the existence of climate warming in layers capping the stable boundary layer. Also, the cooling is not pandemic, but is selective. It is readily revealed in properly sorted data by making use of the principles of micrometeorological similarity. Specifically, the cooling is manifest under a range of favorable turbulence conditions which can develop and disappear locally on time scales of minutes to hours because of the intrinsically intermittent nature of stable boundary layer turbulence. Because of the fine-scale nature of the processes which produce the cooling, modeling it is a difficult proposition. Vertical resolution on the order of 1 meter is required. Adequate models of intermittent surface fluxes coupled with radiation exchange do not currently exist, not as parameterizations for aggregated systems, nor in large eddy simulation (LES) models. This presentation will introduce the theory. An important testable null hypothesis emerges: the icehouse effect produces a unique signature or "fingerprint" which could not be produced by any other known process. The presence of this signature will be demonstrated using nearly all available Arctic temperature observations. Its aggregate effect is clearly found in Arctic monthly surface temperature trends when sorted by climatological stability. Using all available Arctic rawinsonde ascents - about 1.1 million profiles, "frozen moments" of the icehouse processes are captured in various states. Because turbulent time scales are so short in the stable boundary layer. each of these snapshots can be treated as independent -- their chronology is irrelevant. Micrometeorological similarity is invoked to reassemble the soundings into bins of similar stability and it is in a wide, coherent range of these stability bins where the cooling effect is revealed.
format Other/Unknown Material
author Wetzel, Peter J.
Starr, David OC.
author_facet Wetzel, Peter J.
Starr, David OC.
author_sort Wetzel, Peter J.
title Icehouse Effect: A Selective Arctic Cooling Trend Current Models are Missing
title_short Icehouse Effect: A Selective Arctic Cooling Trend Current Models are Missing
title_full Icehouse Effect: A Selective Arctic Cooling Trend Current Models are Missing
title_fullStr Icehouse Effect: A Selective Arctic Cooling Trend Current Models are Missing
title_full_unstemmed Icehouse Effect: A Selective Arctic Cooling Trend Current Models are Missing
title_sort icehouse effect: a selective arctic cooling trend current models are missing
publishDate 2001
url http://hdl.handle.net/2060/20010083083
op_coverage Unclassified, Unlimited, Publicly available
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source CASI
op_relation Document ID: 20010083083
http://hdl.handle.net/2060/20010083083
op_rights No Copyright
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