The Role of Auxiliary Variables in Deterministic and Deterministic-Stochastic Spatial Models of Air Temperature in Poland

2017 ◽  
pp. 137-163
Author(s):  
Mariusz Szymanowski ◽  
Maciej Kryza
Keyword(s):  
Air Temperature ◽  
Spatial Models ◽  
Auxiliary Variables ◽  
Stochastic Spatial Models

scholarly journals Recent changes of relative humidity: regional connection with land and ocean processes

2017 ◽  
Author(s):  
Sergio M. Vicente-Serrano ◽  
Raquel Nieto ◽  
Luis Gimeno ◽  
Cesar Azorin-Molina ◽  
Anita Drumond ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Interannual Variability ◽  
Air Temperature ◽  
Spatial Scales ◽  
Global Scale ◽  
Sea Surface ◽  
Positive Trend ◽  
Source Regions ◽  
Strong Agreement

Abstract. We analyzed changes in surface relative humidity (RH) at the global scale from 1979 to 2014 using both observations and ERA-Interim dataset. We compared the variability and trends of RH with those of land evapotranspiration and ocean evaporation in moisture source areas across a range of selected regions worldwide. The sources of moisture for each particular region were identified by integrating different observational data and model outputs into a lagrangian approach. The aim was to account for the possible role of changes in air temperature over land, in comparison to sea surface temperature (SST), on RH variability. Results demonstrate a strong agreement between the interannual variability of RH and the interannual variability of precipitation and land evapotranspiration in regions with continentally-originated humidity. In contrast, albeit with the dominant positive trend of air temperature/SST ratio in the majority of the analyzed regions, the interannual variability of RH in the target regions did not show any significant correlation with this ratio over the source regions. Also, we did not find any significant association between the interannual variability of oceanic evaporation in the oceanic humidity source regions and RH in the target regions. Our findings stress the need for further investigation of the role of both dynamic and radiative factors in the evolution of RH over continental regions at different spatial scales.

scholarly journals Unravelling ecological analysis

2006 ◽  
Vol 2006 ◽  
pp. 1-18 ◽  
Author(s):  
D. G. Steel ◽  
M. Tranmer ◽  
D. Holt
Keyword(s):  
Linear Regression Analysis ◽  
Aggregate Data ◽  
Auxiliary Variables ◽  
Ecological Analysis ◽  
Individual Level ◽  
Ecological Regression ◽  
Australian Census ◽  
Using Data ◽  
The Individual

Ecological analysis involves analysing aggregate data for groups of individuals to make inferences about relationships at the individual level. Often the results of such analyses give badly biased estimates. This paper will consider the sources of bias in linear regression analysis using aggregate data. The role of variation of the individual level relationships between groups and the consequent within-group correlations and how these are related to auxiliary variables that characterise the differences between groups is considered. A method of adjusting ecological regression for the effects of auxiliary variables is described and evaluated using data from the 1991 Australian Census.

Spatial Prediction of Soil Temperature in China

2014 ◽  
Vol 955-959 ◽  
pp. 3718-3723
Author(s):  
Hui Zhi Zhang ◽  
Xue Zheng Shi
Keyword(s):  
Soil Temperature ◽  
Spatial Patterns ◽  
Air Temperature ◽  
Ordinary Kriging ◽  
Spatial Prediction ◽  
Regression Kriging ◽  
Auxiliary Variables ◽  
Geostatistical Methods ◽  
The Mean ◽  
Mean Annual Air Temperature

Temperature affects many soil biochemical and geochemical processes. The growth of plants, seed germination, circulations of carbon and nitrogen are all significantly influenced by soil temperature, thus it is important to estimate the spatial pattern of soil temperature. This paper shows the results of spatial patterns of mean annual soil temperature interpolated from the measurements of 698 meteorological stations in China. Four geostatistical methods, ordinary kriging (OK), regression kriging with mean annual air temperature (RK-1), regression kriging with latitude, longitude and elevation (RK-2) and regression kriging with multi-auxiliary predictors (RK-3), were compared. Ordinary kriging (OK) directly interpolated the mean annual soil temperature data extracted from meteorological stations to obtain the spatial patterns of the mean annual soil temperature. For the three regression kriging methods, intensive auxiliary variables (mean annual air temperature, elevation, latitude and longitude), which were correlated with mean annual soil temperature, were used to increase the accuracy of estimation. The results suggested that RK-3 preformed best, followed by RK-1 and RK-2. The intensive data of auxiliary variables used in the regression kriging significantly improved the accuracy of interpolation results.

scholarly journals Influence of building orientation on internal temperature in saharan climates, building located in Ghardaïa region (Algeria)

2013 ◽  
Vol 17 (2) ◽  
pp. 349-364 ◽  
Author(s):  
Sidi Bekkouche ◽  
Tayeb Benouaz ◽  
Mohamed Cherier ◽  
Maamar Hamdani ◽  
Mohamed Yaiche ◽  
...  
Keyword(s):  
Thermal Comfort ◽  
Thermal Insulation ◽  
Air Temperature ◽  
Thermal Inertia ◽  
Numerical Data ◽  
Internal Temperature ◽  
And Control ◽  
The Mathematical Model ◽  
Do So

In desert regions, the orientation of buildings has an important influence in the inside air temperature. In the present work, we carry out a study on the influence of the buildings orientation as well as the thermal insulation on the internal temperature. To do so, we have considered the case where only the exposed walls are isolated. The main objective of the current work is to determine the temperatures of the building in question with and without thermal insulation. This study aims at assessing also the geographic parameter enhancing or damping the role of thermal inertia, providing a variety of results. As result, this work proves that stones play a contradictory role on thermal comfort. We have verified that thermal insulation is specified to reduce heat transfer through the building. Concerning the orientation, results indicates that the variation in orientation does not influence significantly the internal air temperature of a well thermally insulated building. Moreover, in hot period, whatever orientation considered, the phenomenon of overheating presents a serious problem to minimize consumption of energy and control of indoor temperature in case of building without insulation. The numerical data was compared to the experimental measurements in order to validate the mathematical model. In conclusion, to achieve a better thermal comfort arid and semi arid regions, the habitation will have to be situated in south flan of a hill to satisfy the two strategies (hot and cold).

Sign in / Sign up

Export Citation Format

Share Document