Regional scale analysis of climate extremes in an SRM geoengineering simulation, Part 2: temperature extremes.

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Title: Regional scale analysis of climate extremes in an SRM geoengineering simulation, Part 2: temperature extremes.
Authors: Bala, Govindasamy1, Nalam, Aditya1, Muthyala, Rohi1,2
Source: Current Science (00113891). 3/10/2018, Vol. 114 Issue 5, p1036-1045. 10p.
Subjects: Environmental engineering, Environmental engineering software, Solar radiation, Solar radiation simulation, Measurement of solar radiation
Abstract: In this study, we examine the statistics of temperature extremes in a model simulation of solar radiation management (SRM) geoengineering. We consider both intensity and frequency-based extreme indices for temperature. The analysis is performed over both large-scale domains as well as regional scales (22 Giorgi land regions). We find that temperature extremes are substantially reduced in geoengineering simulation: the magnitude of change is much smaller than that occur in a simulation with elevated atmospheric CO2 alone. Large increase (~10-20 K) in the lower tails (0.1 percentile) of Tmin and Tmax in the northern hemisphere extra-tropics that are simulated under doubling of CO2 are reduced in geoengineering simulation, but significant increase (~4-7 K) persist over high-latitude land regions. Frequency of temperature extremes is largely offset over land regions in geoengineered climate. We infer that SRM schemes are likely to reduce temperature extremes and the associated impacts on a global scale. However, we note that a comprehensive assessment of moral, social, ethical, legal, technological, economic, political and governance issues is required for using SRM methods to counter the impacts of climate change. [ABSTRACT FROM AUTHOR]
Copyright of Current Science (00113891) is the property of Indian Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="JN" term="%22Current+Science+%2800113891%29%22">Current Science (00113891)</searchLink>. 3/10/2018, Vol. 114 Issue 5, p1036-1045. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Environmental+engineering%22">Environmental engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+engineering+software%22">Environmental engineering software</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+radiation%22">Solar radiation</searchLink><br /><searchLink fieldCode="DE" term="%22Solar+radiation+simulation%22">Solar radiation simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement+of+solar+radiation%22">Measurement of solar radiation</searchLink>
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  Data: In this study, we examine the statistics of temperature extremes in a model simulation of solar radiation management (SRM) geoengineering. We consider both intensity and frequency-based extreme indices for temperature. The analysis is performed over both large-scale domains as well as regional scales (22 Giorgi land regions). We find that temperature extremes are substantially reduced in geoengineering simulation: the magnitude of change is much smaller than that occur in a simulation with elevated atmospheric CO2 alone. Large increase (~10-20 K) in the lower tails (0.1 percentile) of Tmin and Tmax in the northern hemisphere extra-tropics that are simulated under doubling of CO2 are reduced in geoengineering simulation, but significant increase (~4-7 K) persist over high-latitude land regions. Frequency of temperature extremes is largely offset over land regions in geoengineered climate. We infer that SRM schemes are likely to reduce temperature extremes and the associated impacts on a global scale. However, we note that a comprehensive assessment of moral, social, ethical, legal, technological, economic, political and governance issues is required for using SRM methods to counter the impacts of climate change. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Current Science (00113891) is the property of Indian Academy of Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.18520/cs/v114/i05/1036-1045
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        Text: English
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      – SubjectFull: Environmental engineering
        Type: general
      – SubjectFull: Environmental engineering software
        Type: general
      – SubjectFull: Solar radiation
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      – SubjectFull: Solar radiation simulation
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      – SubjectFull: Measurement of solar radiation
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              Text: 3/10/2018
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              Y: 2018
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