scholarly journals Summer air temperature variability and trends within Oltenia Plain

2013 ◽  
Vol 63 (3) ◽  
pp. 371-381
Author(s):  
Alina Vlăduţ ◽  
Irina Onţel
Keyword(s):  
Air Temperature ◽  
Temperature Variability

scholarly journals Impact of Subsurface Temperature Variability on Surface Air Temperature Variability: An AGCM Study

2008 ◽  
Vol 9 (4) ◽  
pp. 804-815 ◽  
Author(s):  
Sarith P. P. Mahanama ◽  
Randal D. Koster ◽  
Rolf H. Reichle ◽  
Max J. Suarez
Keyword(s):  
Surface Temperature ◽  
Soil Temperature ◽  
Air Temperature ◽  
Seasonal Cycle ◽  
Surface Air Temperature ◽  
Temperature Variability ◽  
Climate System ◽  
Boreal Summer ◽  
Temperature Anomalies ◽  
Subsurface Soil

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.

Spatial and temporal air temperature variability in Berlin, Germany, during the years 2001–2010

Urban Climate ◽  
2014 ◽  
Vol 10 ◽  
pp. 308-331 ◽  
Author(s):  
Daniel Fenner ◽  
Fred Meier ◽  
Dieter Scherer ◽  
Albert Polze
Keyword(s):  
Air Temperature ◽  
Temperature Variability

scholarly journals The changes of precipitation in Podgorica for period 1951-2010

2011 ◽  
Vol 91 (2) ◽  
pp. 51-70
Author(s):  
Vladan Ducic ◽  
Dragan Buric ◽  
Jelena Lukovic ◽  
Gorica Stanojevic
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Air Temperature ◽  
Temperature Variability ◽  
Interannual Variations ◽  
Temperature And Precipitation ◽  
Precipitation Changes ◽  
Climatic Elements

The global warming and climate change are the actual and challenging topics. Recently there is one question, frequently asked: whether today's climate is changing? The studies of this issues are mainly related to the two the most important climatic elements - air temperature and precipitation amounts. We have done research about temperature variability for Montenegro and the main aim of this paper is analysis precipitation changes for station Podgorica (Montenegro) in the period of sistematic observation - are there changes, to what extent and whether they are significant. According to the results, acumulated precipitation do not show significant changes for annual and seasonal values in the period 1951-2010. The interannual variations of the precipitation (which are characterictic for this climate element) do not show increases in recent times. The component trend shows some changes, but statisticaly insignigficant. The previous results for precipitation conditions in Podgorica are not in accordance with the concept of Intergovermental Panel on Climate Change (IPCC) which predicted a general decerease in precipitation and increase variability on this area.

scholarly journals Including variability in air temperature warming scenarios in a lake simulation model highlights uncertainty in predictions of cyanobacteria

2019 ◽  
Author(s):  
Arianna I. Krinos ◽  
Kaitlin J. Farrell ◽  
Vahid Daneshmand ◽  
Kensworth C. Subratie ◽  
Renato J. Figueiredo ◽  
...  
Keyword(s):  
Air Temperature ◽  
Temperature Variability ◽  
Cyanobacterial Blooms ◽  
Climate Scenarios ◽  
Nitrogen Fixing ◽  
Lake Mendota ◽  
Modeling Studies ◽  
Air Temperatures ◽  
The One ◽  
Cyanobacterial Biomass

AbstractDespite growing evidence that climate change will increase temperature variability and the frequency of temperature extremes, many modeling studies that analyze the effects of warming scenarios on cyanobacteria in lakes examine uniform warming temperature scenarios without including any variability. Here, we used the one-dimensional hydrodynamic General Lake Model coupled to Aquatic EcoDynamics modules (GLM-AED) to simulate 11 years of nitrogen-fixing and non-nitrogen-fixing cyanobacterial biomass in Lake Mendota (Madison, WI, USA). We developed climate scenarios with either uniform (constant) warming or variable warming based on random sampling of daily air temperatures from either a normal or Poisson probability distribution. We found that while the median cyanobacterial biomass among repeated simulations for each of the years was similar regardless of whether or not air temperature variability was included in the climate scenarios, the randomly-sampled air temperature distribution scenarios exhibited much greater variability in the year-to-year cyanobacterial biomass estimates. Our results suggest that including temperature variability in climate scenarios may substantially change our understanding of how climate warming may alter cyanobacterial blooms over yearly to decadal time scales. To more effectively predict the range of possible future cyanobacterial dynamics, both the magnitude and variability of warming must be considered when developing climate scenarios for lake modeling studies.

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