scholarly journals Surface air temperature variability over the Arabian Peninsula and its links to circulation patterns

2018 ◽  
Vol 39 (1) ◽  
pp. 445-464 ◽  
Author(s):  
Raju Attada ◽  
Hari Prasad Dasari ◽  
Jasti S. Chowdary ◽  
Ramesh Kumar Yadav ◽  
Omar Knio ◽  
...  
2018 ◽  
Vol 19 (11) ◽  
pp. e860 ◽  
Author(s):  
Raju Attada ◽  
Ramesh Kumar Yadav ◽  
Ravi Kumar Kunchala ◽  
Hari Prasad Dasari ◽  
Omar Knio ◽  
...  

2008 ◽  
Vol 9 (4) ◽  
pp. 804-815 ◽  
Author(s):  
Sarith P. P. Mahanama ◽  
Randal D. Koster ◽  
Rolf H. Reichle ◽  
Max J. Suarez

Abstract Anomalous atmospheric conditions can lead to surface temperature anomalies, which in turn can lead to temperature anomalies in the subsurface soil. The subsurface soil temperature (and the associated ground heat content) has significant memory—the dissipation of a temperature anomaly may take weeks to months—and thus subsurface soil temperature may contribute to the low-frequency variability of energy and water variables elsewhere in the system. The memory may even provide some skill to subseasonal and seasonal forecasts. This study uses three long-term AGCM experiments to isolate the contribution of subsurface soil temperature variability to variability elsewhere in the climate system. The first experiment consists of a standard ensemble of Atmospheric Model Intercomparison Project (AMIP)-type simulations in which the subsurface soil temperature variable is allowed to interact with the rest of the system. In the second experiment, the coupling of the subsurface soil temperature to the rest of the climate system is disabled; that is, at each grid cell, the local climatological seasonal cycle of subsurface soil temperature (as determined from the first experiment) is prescribed. Finally, a climatological seasonal cycle of sea surface temperature (SST) is prescribed in the third experiment. Together, the three experiments allow the isolation of the contributions of variable SSTs, interactive subsurface soil temperature, and chaotic atmospheric dynamics to meteorological variability. The results show that allowing an interactive subsurface soil temperature does, indeed, significantly increase surface air temperature variability and memory in most regions. In many regions, however, the impact is negligible, particularly during boreal summer.


Geology ◽  
2018 ◽  
Vol 46 (12) ◽  
pp. 1071-1074 ◽  
Author(s):  
Dan J. Charman ◽  
Matthew J. Amesbury ◽  
Thomas P. Roland ◽  
Jessica Royles ◽  
Dominic A. Hodgson ◽  
...  

2016 ◽  
Vol 43 (2) ◽  
pp. 902-909 ◽  
Author(s):  
Nikola Jajcay ◽  
Jaroslav Hlinka ◽  
Sergey Kravtsov ◽  
Anastasios A. Tsonis ◽  
Milan Paluš

2009 ◽  
Vol 114 (A10) ◽  
pp. n/a-n/a ◽  
Author(s):  
A. Seppälä ◽  
C. E. Randall ◽  
M. A. Clilverd ◽  
E. Rozanov ◽  
C. J. Rodger

2017 ◽  
Vol 13 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Alexey A. Ekaykin ◽  
Diana O. Vladimirova ◽  
Vladimir Y. Lipenkov ◽  
Valérie Masson-Delmotte

Abstract. We use isotopic composition (δD) data from six sites in Princess Elizabeth Land (PEL) in order to reconstruct air temperature variability in this sector of East Antarctica over the last 350 years. First, we use the present-day instrumental mean annual surface air temperature data to demonstrate that the studied region (between Russia's Progress, Vostok and Mirny research stations) is characterized by uniform temperature variability. We thus construct a stacked record of the temperature anomaly for the whole sector for the period of 1958–2015. A comparison of this series with the Southern Hemisphere climatic indices shows that the short-term inter-annual temperature variability is primarily governed by the Antarctic Oscillation (AAO) and Interdecadal Pacific Oscillation (IPO) modes of atmospheric variability. However, the low-frequency temperature variability (with period  >  27 years) is mainly related to the anomalies of the Indian Ocean Dipole (IOD) mode. We then construct a stacked record of δD for the PEL for the period of 1654–2009 from individual normalized and filtered isotopic records obtained at six different sites (PEL2016 stacked record). We use a linear regression of this record and the stacked PEL temperature record (with an apparent slope of 9 ± 5.4 ‰ °C−1) to convert PEL2016 into a temperature scale. Analysis of PEL2016 shows a 1 ± 0.6 °C warming in this region over the last 3 centuries, with a particularly cold period from the mid-18th to the mid-19th century. A peak of cooling occurred in the 1840s – a feature previously observed in other Antarctic records. We reveal that PEL2016 correlates with a low-frequency component of IOD and suggest that the IOD mode influences the Antarctic climate by modulating the activity of cyclones that bring heat and moisture to Antarctica. We also compare PEL2016 with other Antarctic stacked isotopic records. This work is a contribution to the PAGES (Past Global Changes) and IPICS (International Partnerships in Ice Core Sciences) Antarctica 2k projects.


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