Results 251 to 260 of about 966,072 (298)

Extreme Urban Heat and Emergency Department Visits in Older Adults.

open access: yesJAMA Netw Open
Siau E   +7 more
europepmc   +1 more source

A stochastic model for the analysis of maximum daily temperature

Theoretical and Applied Climatology, 2016
In this paper, a stochastic model for the analysis of the daily maximum temperature is proposed. First, a deseasonalization procedure based on the truncated Fourier expansion is adopted. Then, the Johnson transformation functions were applied for the data normalization.
Tommaso Caloiero   +2 more
exaly   +4 more sources

Trends of summer daily maximum temperature extremes in Turkey

Physical Geography, 2015
This work seeks to understand the variability of warm and cool events during summer in Turkey. Daily maximum air temperature data from 97 weather stations were analyzed to determine percentile threshold values (99th, 95th, 90th, 1st, 5th, and 10th) at each station. Trends in the percentile values were determined using the Mann–Kendall trend test.
Barbaros Gönençgil
exaly   +3 more sources

Modelling of maximum daily water temperatures in a small stream using air temperatures

Journal of Hydrology, 2001
Maximum daily stream water temperature information is very important when assessing fish habitat in terms of distribution and fish growth rate. For instance, coldwater fishes such as the Atlantic salmon can be adversely affected by these maximum summer temperatures or by those exacerbated by land use practices such as deforestation.
Daniel Caissie   +2 more
exaly   +2 more sources

Modeling and Prediction of the Daily Maximum Temperature

IEEE Transactions on Systems, Man, and Cybernetics, 1974
This correspondence examines the possibility of recursive prediction for the daily maximum temperature based on a state variable model. It is shown that past data can be processed for identifying a suitable noisy state model for this process. Once the model is selected the ``corrector-predictor'' algorithm of Kalman is readily applied for predicting ...
K. L. S. Sharma, A. K. Mahalanabis
openaire   +1 more source

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