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Regional temperature and precipitation changes under high-end (≥4°C) global warming
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 369. N° 1934. Sanderson M.G.; Hemming D.L.; Betts R.A. - The Royal Society, 2011Climate models vary widely in their projections of both global mean temperature rise and regional climate changes, but are there any systematic differences in regional changes associated with different levels of global climate sensitivity? This paper examines model projections of climate change over the twenty-first century from the Intergovernmental Panel on Climate Change Fourth Assessment Report which used the A2 scenario from the IPCC Special Report on Emissions Scenarios, assessing whether different regional responses can be seen in models categorized as ‘high-end’ (those projecting 4°C o ...
[article]
in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences > Vol. 369. N° 1934 (2011) . - p. 85-98Climate models vary widely in their projections of both global mean temperature rise and regional climate changes, but are there any systematic differences in regional changes associated with different levels of global climate sensitivity? This paper examines model projections of climate change over the twenty-first century from the Intergovernmental Panel on Climate Change Fourth Assessment Report which used the A2 scenario from the IPCC Special Report on Emissions Scenarios, assessing whether different regional responses can be seen in models categorized as ‘high-end’ (those projecting 4°C or more by the end of the twenty-first century relative to the preindustrial). It also identifies regions where the largest climate changes are projected under high-end warming. The mean spatial patterns of change, normalized against the global rate of warming, are generally similar in high-end and ‘non-high-end’ simulations. The exception is the higher latitudes, where land areas warm relatively faster in boreal summer in high-end models, but sea ice areas show varying differences in boreal winter. Many continental interiors warm approximately twice as fast as the global average, with this being particularly accentuated in boreal summer, and the winter-time Arctic Ocean temperatures rise more than three times faster than the global average. Large temperature increases and precipitation decreases are projected in some of the regions that currently experience water resource pressures, including Mediterranean fringe regions, indicating enhanced pressure on water resources in these areas.
Language(s): English
Format: Digital (Free)Tags: Climate change ; Climate ; Global warming ; Scenario ; Sea-surface temperature ; Air temperature
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Regime Behavior in the Sea Surface Temperature-Cloud Radiative Forcing Relationships over the Pacific Cold Tongue Region
Atmospheric and Oceanic Science Letters, Volume 3 Number 5. Wu Chun-Qiang; Zhou Tian-Jun; De-Zheng Xiao-Li - Science Press, 2010Previous analyses on the estimates of water vapor and cloud-related feedbacks in the tropics usually use observations over the Earth Radiation Budget Experiment (ERBE) period (1985–89). To examine the sample dependence of previous estimates, the authors extend the analysis to two additional periods: 1990–94 and 1995–99. The results confirm our hypothesis, i.e., the values of the feedbacks depend on the period of data coverage. The differences in the feedbacks from cloud radiative forcings (CRFs) estimated from the three periods are particularly significant. Two possible causes for these differ ...
[article]Regime Behavior in the Sea Surface Temperature-Cloud Radiative Forcing Relationships over the Pacific Cold Tongue Region
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Available online: http://www.iapjournals.ac.cn/aosl/ch/reader/view_abstract.aspx?file_no=AOSL10042
in Atmospheric and Oceanic Science Letters > Volume 3 Number 5 (16 September 2010) . - p.271-276Previous analyses on the estimates of water vapor and cloud-related feedbacks in the tropics usually use observations over the Earth Radiation Budget Experiment (ERBE) period (1985–89). To examine the sample dependence of previous estimates, the authors extend the analysis to two additional periods: 1990–94 and 1995–99. The results confirm our hypothesis, i.e., the values of the feedbacks depend on the period of data coverage. The differences in the feedbacks from cloud radiative forcings (CRFs) estimated from the three periods are particularly significant. Two possible causes for these differences are proposed. First, a regime behavior in the CRFs-Sea Surface Temperature Anomaly (SSTA) relationship over the cold tongue region is revealed: when SSTA is below –0.5oC, the CRFs anomalies are insensitive to the SSTA; when the SSTA is between –0.5oC and 2.0oC, the CRF anomalies are positively correlated with the SSTA; however, when the SSTA exceeds 2.0oC, the CRF anomalies decrease with the SSTA. This regime behavior is due to the regime behavior of cirrostratus and deep convective clouds. Second, the CRFs-SSTA relationship is regulated by remote forcings. Warming of the far eastern equatorial Pacific would reduce the water vapor convergence over the central Pacific by weakening the trade wind over the southeastern Pacific, thereby reducing the feeding of moisture to the convective flow. The results suggest that CRFs-SSTA relationships during ENSO events are nonlinear and strongly depend on the magnitude and the spatial distribution of the SSTA.
Language(s): English
Format: Digital (Free), Hard copyTags: Ocean-atmosphere interaction ; Cloud ; Observations ; Sea-surface temperature ; Pacific Ocean ; Region V - South-West Pacific
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56 - November 2008 - Estimation of the Future Distribution of Sea Surface Temperature and Sea Ice Using the CMIP3 Multi-model Ensemble Mean
is an issue of 気象研究所技術報告. Mizuta Ryo; Adachi Yukimasa; Yukimoto Seiji; et al. - Meteorological Research Institute, 2008
[number or issue]56 - November 2008 - Estimation of the Future Distribution of Sea Surface Temperature and Sea Ice Using the CMIP3 Multi-model Ensemble Mean
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Available online: http://www.mri-jma.go.jp/Publish/Technical/DATA/VOL_56/56_en.html
Ryo Mizuta ; Yukimasa Adachi ; Seiji Yukimoto ; Shoji Kusunoki
Language(s): English, Japanese
Format: Digital (Free), Hard copyTags: Oceans ; Ocean model ; Sea ice ; Sea-surface temperature ; Modelling
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Advances in Microwave Remote Sensing: Ocean Wind Speed and Direction
This Webcast covers the ocean surface wind retrieval process, the basics of microwave polarization as it relates to wind retrievals, and several operational examples. Information on the development of microwave sensors used to retrieve ocean surface wind speed and the ocean surface wind vector (speed and direction) is also included.
Available online: https://www.meted.ucar.edu/training_module.php?id=184
Published by: The University Corporation for Atmospheric Research ; 2005
This Webcast covers the ocean surface wind retrieval process, the basics of microwave polarization as it relates to wind retrievals, and several operational examples. Information on the development of microwave sensors used to retrieve ocean surface wind speed and the ocean surface wind vector (speed and direction) is also included.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Weather forecasting ; Numerical weather prediction ; Marine meteorology ; Sea-surface temperature ; Lesson/ Tutorial ; Marine Weather Forecasters ; NWP Skills and Knowledge for Operational Meteorologists ; Satellite Skills and Knowledge for Operational Meteorologists
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Remote Sensing of Land, Oceans, and Atmosphere with MODIS
This Webcast is based on presentations given by Dr. W. Paul Menzel at several conferences. It is approximately 60 minutes in length and introduces the MODIS instrument on the Terra satellite. Dr. Menzel begins by providing background on MODIS channel selection and instrument calibration. He continues with a variety of examples that include both climatological and meteorological applications, including high-resolution data and derived-product imagery. The examples are divided into land, ocean, and atmosphere applications. Dr. Menzel concludes with a discussion of the new direct-broadcast capabi ...
Available online: https://www.meted.ucar.edu/training_module.php?id=92
Published by: The University Corporation for Atmospheric Research ; 2002
This Webcast is based on presentations given by Dr. W. Paul Menzel at several conferences. It is approximately 60 minutes in length and introduces the MODIS instrument on the Terra satellite. Dr. Menzel begins by providing background on MODIS channel selection and instrument calibration. He continues with a variety of examples that include both climatological and meteorological applications, including high-resolution data and derived-product imagery. The examples are divided into land, ocean, and atmosphere applications. Dr. Menzel concludes with a discussion of the new direct-broadcast capability of the Terra satellite that allows users all over the world to receive MODIS data.
Disclaimer regarding 3rd party resources: WMO endeavours to ensure, but cannot and does not guarantee the accuracy, accessibility, integrity and timeliness of the information available on its website. WMO may make changes to the content of this website at any time without notice.
The responsibility for opinions expressed in articles, publications, studies and other contributions rests solely with their authors, and their posting on this website does not constitute an endorsement by WMO of the opinion expressed therein.
WMO shall not be liable for any damages incurred as a result of the use of its website. Please do not misuse our website.Language(s): English
Format: Digital (Standard Copyright)Tags: Weather forecasting ; Sea-surface temperature ; Fog ; Lesson/ Tutorial ; Satellite Skills and Knowledge for Operational Meteorologists
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GCOS, 55. Report of the fifth session of the GCOS/WCRP Atmospheric Observation Panel for Climate (AOPC)
World Meteorological Organization (WMO) ; United Nations Environment Programme (UNEP); International Council for Science (ICSU); et al. - WMO, 1999
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GCOS, 57. Report of the OOPC/AOPC Workshop on Global Sea Surface Temperature Data Sets
World Meteorological Organization (WMO) ; United Nations Environment Programme (UNEP); International Council for Science (ICSU); et al. - WMO, 1999 (WMO/TD-No. 978)
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GCOS, 24. Joint GCOS-GOOS-WCRP Ocean Observations Panel for Climate (OOPC), first session
Intergovernmental Oceanographic Commission (IOC); World Meteorological Organization (WMO) ; International Council for Science (ICSU); et al. - WMO, 1996 (WMO/TD-No. 768)
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WCP, 110. Report of the COSPAR International Workshop on Satellite-derived Sea Surface Temperatures for Global Climate Applications
McClain E.Paul; Njoku E.G.; IOC/SCOR Committee on Climatic Changes and the Ocean ; et al. - WMO, 1986 (WMO/TD-No. 93)
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GARP Publications Series, 27. Scientific results of the Alpine Experiment (ALPEX): scientific papers presented at the Conference - Volume I
International Council for Science (ICSU); World Meteorological Organization (WMO) - WMO, 1986 (WMO/TD-No. 108)
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GARP Publications Series, 27. Scientific results of the Alpine Experiment (ALPEX): report of the workshop - Volume II
International Council for Science (ICSU); World Meteorological Organization (WMO) - WMO, 1986 (WMO/TD-No. 108)
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MMROA Report, 13. User's guide to the data and summaries of the Historical Sea Surface Temperature Data Project
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WCP, 92. Report of the TOGA Workshop on Sea Surface Temperature and Net Surface Radiation
World Meteorological Organization (WMO) ; Intergovernmental Oceanographic Commission (IOC) - WMO, 1984 (WMO/TD-No. 29)
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