Add to ORKGThe behaviour of the daily minimum, mean and maximum temperatures was already found to be given by the sum of a deterministic function of the day and a stationary normal process with zero mean. Its standard deviations for the three temperatures observed in the period 1892-1974 are given. This is a measure of the error in the long term prediction of daily temperatures. The normal process is found to be well represented by an autoregressive- moving average process
Daily temperatures follow a pattern of variation that is familiar to us all. Although our very lives...
This study suggests a stochastic model for time series of daily zonal (circumpolar) mean stratospher...
The aim of this study is to get some approach which can help in improving the predictions of daily t...
The behaviour of the daily minimum, mean and maximum temperatures was already found to be given by t...
From previous analysis of the daily minimum, meam and maximum temperatures in Modena, Italy, over mo...
In geophysical time series, such as daily temperatures, trends may be present due to global or to an...
The minimum, mean and maximum daily temperature measured in Modena, Italy, since 1892 can be well re...
A stochastic model, mostly non-parametric, has been developed for the analysis of the daily temperat...
The technic of the processing of the meteorological data for conclusion on the presence of the time ...
In this paper, the problem of forecasting of quantitative features of the weather (atmospheric tempe...
Estimated using time series linear regression. Segments are 95% prediction intervals. All months exc...
Global temperature variations between 1861 and 1984 are forecast using regularization network, multi...
Using materials in new applications (in particular the built environment) requires that durability p...
Energy consumption, agricultural activities and comfort in building design are all related to tempor...
There are different methodologies to compute daily mean temperatures (DMT), including averaging the ...
Daily temperatures follow a pattern of variation that is familiar to us all. Although our very lives...
This study suggests a stochastic model for time series of daily zonal (circumpolar) mean stratospher...
The aim of this study is to get some approach which can help in improving the predictions of daily t...
The behaviour of the daily minimum, mean and maximum temperatures was already found to be given by t...
From previous analysis of the daily minimum, meam and maximum temperatures in Modena, Italy, over mo...
In geophysical time series, such as daily temperatures, trends may be present due to global or to an...
The minimum, mean and maximum daily temperature measured in Modena, Italy, since 1892 can be well re...
A stochastic model, mostly non-parametric, has been developed for the analysis of the daily temperat...
The technic of the processing of the meteorological data for conclusion on the presence of the time ...
In this paper, the problem of forecasting of quantitative features of the weather (atmospheric tempe...
Estimated using time series linear regression. Segments are 95% prediction intervals. All months exc...
Global temperature variations between 1861 and 1984 are forecast using regularization network, multi...
Using materials in new applications (in particular the built environment) requires that durability p...
Energy consumption, agricultural activities and comfort in building design are all related to tempor...
There are different methodologies to compute daily mean temperatures (DMT), including averaging the ...
Daily temperatures follow a pattern of variation that is familiar to us all. Although our very lives...
This study suggests a stochastic model for time series of daily zonal (circumpolar) mean stratospher...
The aim of this study is to get some approach which can help in improving the predictions of daily t...