Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively

Figure 2. Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively. The grey curve shows the sum of the three variables. GISSTEMP is in black and 20C reanalysis in dark g...

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Main Author: Benestad, Rasmus E
Format: Still Image
Language:unknown
Published: IOP Publishing 2013
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.1011927
https://iop.figshare.com/articles/figure/_Estimated_global_contributions_to_the_global_mean_temperature_based_on_the_product_between_the_spat/1011927
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spelling ftdatacite:10.6084/m9.figshare.1011927 2023-05-15T17:34:55+02:00 Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively Benestad, Rasmus E 2013 https://dx.doi.org/10.6084/m9.figshare.1011927 https://iop.figshare.com/articles/figure/_Estimated_global_contributions_to_the_global_mean_temperature_based_on_the_product_between_the_spat/1011927 unknown IOP Publishing Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Environmental Science Image Figure graphic ImageObject 2013 ftdatacite https://doi.org/10.6084/m9.figshare.1011927 2021-11-05T12:55:41Z Figure 2. Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively. The grey curve shows the sum of the three variables. GISSTEMP is in black and 20C reanalysis in dark grey. Abstract Variations in the annual mean of the galactic cosmic ray flux (GCR) are compared with annual variations in the most common meteorological variables: temperature, mean sea-level barometric pressure, and precipitation statistics. A multiple regression analysis was used to explore the potential for a GCR response on timescales longer than a year and to identify 'fingerprint' patterns in time and space associated with GCR as well as greenhouse gas (GHG) concentrations and the El Niño–Southern Oscillation (ENSO). The response pattern associated with GCR consisted of a negative temperature anomaly that was limited to parts of eastern Europe, and a weak anomaly in the sea-level pressure (SLP), but coincided with higher pressure over the Norwegian Sea. It had a similarity to the North Atlantic Oscillation (NAO) in the northern hemisphere and a wave train in the southern hemisphere. A set of Monte Carlo simulations nevertheless indicated that the weak amplitude of the global mean temperature response associated with GCR could easily be due to chance ( p -value = 0.6), and there has been no trend in the GCR. Hence, there is little empirical evidence that links GCR to the recent global warming. Still Image North Atlantic North Atlantic oscillation Norwegian Sea DataCite Metadata Store (German National Library of Science and Technology) Norwegian Sea
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Environmental Science
spellingShingle Environmental Science
Benestad, Rasmus E
Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively
topic_facet Environmental Science
description Figure 2. Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively. The grey curve shows the sum of the three variables. GISSTEMP is in black and 20C reanalysis in dark grey. Abstract Variations in the annual mean of the galactic cosmic ray flux (GCR) are compared with annual variations in the most common meteorological variables: temperature, mean sea-level barometric pressure, and precipitation statistics. A multiple regression analysis was used to explore the potential for a GCR response on timescales longer than a year and to identify 'fingerprint' patterns in time and space associated with GCR as well as greenhouse gas (GHG) concentrations and the El Niño–Southern Oscillation (ENSO). The response pattern associated with GCR consisted of a negative temperature anomaly that was limited to parts of eastern Europe, and a weak anomaly in the sea-level pressure (SLP), but coincided with higher pressure over the Norwegian Sea. It had a similarity to the North Atlantic Oscillation (NAO) in the northern hemisphere and a wave train in the southern hemisphere. A set of Monte Carlo simulations nevertheless indicated that the weak amplitude of the global mean temperature response associated with GCR could easily be due to chance ( p -value = 0.6), and there has been no trend in the GCR. Hence, there is little empirical evidence that links GCR to the recent global warming.
format Still Image
author Benestad, Rasmus E
author_facet Benestad, Rasmus E
author_sort Benestad, Rasmus E
title Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively
title_short Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively
title_full Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively
title_fullStr Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively
title_full_unstemmed Estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for ENSO, GHGs, and GCR respectively
title_sort estimated global contributions to the global mean temperature based on the product between the spatial patterns shown in figure 1 and the time series for enso, ghgs, and gcr respectively
publisher IOP Publishing
publishDate 2013
url https://dx.doi.org/10.6084/m9.figshare.1011927
https://iop.figshare.com/articles/figure/_Estimated_global_contributions_to_the_global_mean_temperature_based_on_the_product_between_the_spat/1011927
geographic Norwegian Sea
geographic_facet Norwegian Sea
genre North Atlantic
North Atlantic oscillation
Norwegian Sea
genre_facet North Atlantic
North Atlantic oscillation
Norwegian Sea
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.1011927
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