Testing mean air temperature trends in southern Greece: a Bayesian approach

2021 ◽  
Author(s):  
Georgios Tsiotas ◽  
Anna Mamara ◽  
Athanassios Argiriou ◽  
Aikaterini (Katerina) Tsoukala
Keyword(s):  
Air Temperature ◽  
Bayesian Approach ◽  
Temperature Trends ◽  
Southern Greece

scholarly journals An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST

2021 ◽  
Vol 56 (1-2) ◽  
pp. 635-650 ◽  
Author(s):  
Qingxiang Li ◽  
Wenbin Sun ◽  
Xiang Yun ◽  
Boyin Huang ◽  
Wenjie Dong ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface ◽  
Surface Air Temperature ◽  
Temperature Trends ◽  
Global Mean

Spatial patterns of multi–centennial surface air temperature trends in Antarctica over 1–1000 CE: Insights from ice core records and modeling

2021 ◽  
Vol 271 ◽  
pp. 107205
Author(s):  
Zhiqiang Lyu ◽  
Hugues Goosse ◽  
Quentin Dalaiden ◽  
François Klein ◽  
Feng Shi ◽  
...  
Keyword(s):  
Spatial Patterns ◽  
Air Temperature ◽  
Ice Core ◽  
Surface Air Temperature ◽  
Temperature Trends ◽  
Ice Core Records

scholarly journals Contribution of SST change to multidecadal global and continental surface air temperature trends between 1910 and 2013

2019 ◽  
Vol 54 (3-4) ◽  
pp. 1295-1313
Author(s):  
Yidan Xu ◽  
Jianping Li ◽  
Cheng Sun ◽  
Xiaopei Lin ◽  
Hailong Liu ◽  
...  
Keyword(s):  
Air Temperature ◽  
North Atlantic ◽  
Surface Air Temperature ◽  
Western Pacific ◽  
Multidecadal Variability ◽  
The North ◽  
Temperature Trends ◽  
Community Atmosphere Model ◽  
Community Earth System Model ◽  
Goddard Institute

AbstractThe global mean surface air temperature (GMST) shows multidecadal variability over the period of 1910–2013, with an increasing trend. This study quantifies the contribution of hemispheric surface air temperature (SAT) variations and individual ocean sea surface temperature (SST) changes to the GMST multidecadal variability for 1910–2013. At the hemispheric scale, both the Goddard Institute for Space Studies (GISS) observations and the Community Earth System Model (CESM) Community Atmosphere Model 5.3 (CAM5.3) simulation indicate that the Northern Hemisphere (NH) favors the GMST multidecadal trend during periods of accelerated warming (1910–1945, 1975–1998) and cooling (1940–1975, 2001–2013), whereas the Southern Hemisphere (SH) slows the intensity of both warming and cooling processes. The contribution of the NH SAT variation to the GMST multidecadal trend is higher than that of the SH. We conduct six experiments with different ocean SST forcing, and find that all the oceans make positive contributions to the GMST multidecadal trend during rapid warming periods. However, only the Indian, North Atlantic, and western Pacific oceans make positive contributions to the GMST multidecadal trend between 1940 and 1975, whereas only the tropical Pacific and the North Pacific SSTs contribute to the GMST multidecadal trend between 2001 and 2013. The North Atlantic and western Pacific oceans have important impacts on modulating the GMST multidecadal trend across the entire 20th century. Each ocean makes different contributions to the SAT multidecadal trend of different continents during different periods.

Air temperature trends related to changes in atmospheric circulation in the wider area of Greece

2011 ◽  
Vol 32 (3) ◽  
pp. 737-750 ◽  
Author(s):  
P. T. Nastos ◽  
C. M. Philandras ◽  
D. Founda ◽  
C. S. Zerefos
Keyword(s):  
Atmospheric Circulation ◽  
Air Temperature ◽  
Temperature Trends ◽  
Of Greece

Identifying Rogue Air Temperature Stations Using Cluster Analysis of Percentile Trends

2005 ◽  
Vol 18 (8) ◽  
pp. 1275-1287 ◽  
Author(s):  
Scott M. Robeson ◽  
Jeffrey A. Doty
Keyword(s):  
Cluster Analysis ◽  
Air Temperature ◽  
Large Body ◽  
Large Temperature ◽  
Daily Maximum ◽  
Climatic Data ◽  
Single Linkage ◽  
Frequency Distributions ◽  
Temperature Trends ◽  
Average Linkage

Abstract A new and efficient method for identifying “rogue” air temperature stations—locations with unusually large air temperature trends—is presented. Instrumentation problems and spatially unrepresentative local climates are sometimes more apparent in air temperature extremes, yet can have more subtle impacts on variations in mean air temperature. As a result, using data from over 1300 stations in North America, the tails of daily air temperature frequency distributions were examined for unusual trends. In particular, linear trends in the 5th percentile of daily minimum air temperature during the winter months and the 95th percentile of daily maximum air temperature during the summer were analyzed. Cluster analysis then was used to identify stations that were distinct from other locations. Both single- and average linkage clustering were evaluated. By identifying individual stations along the entire periphery of the percentile trend space, single-linkage clustering appears to produce better results than that of average linkage. Average linkage clustering tends to group together several stations with large trends; however, only a handful of these stations appear distinctly different from the large body of trends toward the center of the percentile trend space. Maps of the rogue stations show that most are in close proximity to numerous other stations that were not grouped into the rogue cluster, making it unlikely that the unusually large temperature trends were due to regional climatic variations. As with all approaches for evaluating data quality, time series plots and station history information also must be inspected to more fully understand inhomogeneous variations in historical climatic data.

Assessing air temperature trends in Mesoamerica and their implications for the future of horticulture

2016 ◽  
Vol 81 (2) ◽  
pp. 63-77 ◽  
Author(s):  
J.D.H. Keatinge ◽  
◽  
P. Imbach ◽  
D.R. Ledesma ◽  
J.d'A. Hughes ◽  
...  
Keyword(s):  
Air Temperature ◽  
Temperature Trends ◽  
The Future

scholarly journals Upper air temperature trends above Switzerland 1959-2011

2013 ◽  
Vol 118 (10) ◽  
pp. 4303-4317 ◽  
Author(s):  
E. Brocard ◽  
P. Jeannet ◽  
M. Begert ◽  
G. Levrat ◽  
R. Philipona ◽  
...  
Keyword(s):  
Air Temperature ◽  
Temperature Trends

Urban and peri-urban precipitation and air temperature trends in mega cities of the world using multiple trend analysis methods

2017 ◽  
Vol 132 (1-2) ◽  
pp. 403-418 ◽  
Author(s):  
Aws A. Ajaaj ◽  
Ashok K. Mishra ◽  
Abdul A. Khan
Keyword(s):  
Trend Analysis ◽  
Air Temperature ◽  
Temperature Trends ◽  
Analysis Methods ◽  
The World ◽  
Mega Cities

scholarly journals Monthly air temperature trends in Switzerland 1901–2000 and 1975–2004

2007 ◽  
Vol 91 (1-4) ◽  
pp. 27-34 ◽  
Author(s):  
M. Rebetez ◽  
M. Reinhard
Keyword(s):  
Air Temperature ◽  
Temperature Trends
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