scholarly journals Appropriateness of correlated first-order auto-regressive processes for modeling daily temperature records

2006 ◽  
Vol 364 ◽  
pp. 271-275
Author(s):  
Radhakrishnan Nagarajan ◽  
R.B. Govindan
Keyword(s):  
Daily Temperature ◽  
First Order ◽  
Auto Regressive ◽  
Temperature Records

scholarly journals Nonlinear correlations of daily temperature records over land

2006 ◽  
Vol 13 (5) ◽  
pp. 571-576 ◽  
Author(s):  
I. Bartos ◽  
I. M. Jánosi
Keyword(s):  
Daily Temperature ◽  
Fluctuation Analysis ◽  
Temperature Changes ◽  
Temporal Correlations ◽  
Temperature Records ◽  
Global Statistics ◽  
Correlation Properties ◽  
Nonlinear Correlations ◽  
Detrended Fluctuation ◽  
Temperature Time

Abstract. We present a near global statistics on the correlation properties of daily temperature records. Data from terrestrial meteorological stations in the Global Daily Climatology Network are analyzed by means of detrended fluctuation analysis. Long-range temporal correlations extending up to several years are detected for each station. In order to reveal nonlinearity, we evaluated the magnitude of daily temperature changes (volatility) by the same method. The results clearly indicate the presence of nonlinearities in temperature time series, furthemore the geographic distribution of correlation exponents exhibits well defined clustering.

A Comparison of Daily Temperature-Averaging Methods: Spatial Variability and Recent Change for the CONUS

2018 ◽  
Vol 31 (3) ◽  
pp. 979-996 ◽  
Author(s):  
Jase Bernhardt ◽  
Andrew M. Carleton ◽  
Chris LaMagna
Keyword(s):  
Spatial Variability ◽  
Daily Temperature ◽  
Maximum Temperature ◽  
Underlying Assumption ◽  
First Order ◽  
Daily Average ◽  
Hourly Temperature ◽  
Significant Difference ◽  
Weather Stations

Abstract Traditionally, the daily average air temperature at a weather station is computed by taking the mean of two values, the maximum temperature (Tmax) and the minimum temperature (Tmin), over a 24-h period. These values form the basis for numerous studies of long-term climatologies (e.g., 30-yr normals) and recent temperature trends and changes. However, many first-order weather stations—such as those at airports—also record hourly temperature data. Using an average of the 24 hourly temperature readings to compute daily average temperature has been shown to provide a more precise and representative estimate of a given day’s temperature. This study assesses the spatial variability of the differences in these two methods of daily temperature averaging [i.e., (Tmax + Tmin)/2; average of 24 hourly temperature values] for 215 first-order weather stations across the conterminous United States (CONUS) over the 30-yr period 1981–2010. A statistically significant difference is shown between the two methods, as well as consistent overestimation of temperature by the traditional method [(Tmax + Tmin)/2], particularly in southern and coastal portions of the CONUS. The explanation for the long-term difference between the two methods is the underlying assumption for the twice-daily method that the diurnal curve of temperature is symmetrical. Moreover, this paper demonstrates a spatially coherent pattern in the difference compared to the most recent part of the temperature record (2001–15). The spatial and temporal differences shown have implications for assessments of the physical factors influencing the diurnal temperature curve, as well as the exact magnitude of contemporary climate change.

Subarea characteristics of the long-range correlations and the index χ for daily temperature records over China

2012 ◽  
Vol 109 (1-2) ◽  
pp. 261-270 ◽  
Author(s):  
Lei Jiang ◽  
Naiming Yuan ◽  
Zuntao Fu ◽  
Dongxiao Wang ◽  
Xia Zhao ◽  
...  
Keyword(s):  
Long Range ◽  
Daily Temperature ◽  
Long Range Correlations ◽  
Temperature Records

scholarly journals Asymmetry of Daily Temperature Records

2008 ◽  
Vol 65 (10) ◽  
pp. 3327-3336 ◽  
Author(s):  
Yosef Ashkenazy ◽  
Yizhak Feliks ◽  
Hezi Gildor ◽  
Eli Tziperman
Keyword(s):  
Daily Temperature ◽  
High Latitudes ◽  
Atmospheric Conditions ◽  
Cyclone Activity ◽  
Radiative Relaxation ◽  
Cold Air ◽  
Cold Fronts ◽  
Mean Temperature ◽  
Temperature Records

The authors study the NCEP–NCAR reanalysis temperature records and find that surface daily mean temperature cools rapidly and warms gradually at the midlatitudes (around 40°N and 40°S). This “asymmetry” is partially related to the midlatitude cyclone activity, in which cold fronts are significantly faster and steeper than warm fronts, and to intrusions of cold air. The gradual warming may be attributed also to the radiative relaxation to average atmospheric conditions after the passage of cold fronts or other intrusions of cold air. At the high latitudes there is an opposite asymmetry with rapid warming and gradual cooling; this asymmetry may be attributed to the radiative relaxation to average cold atmospheric conditions after the passage of warm fronts or intrusions of warm air.

Sign in / Sign up

Export Citation Format

Share Document