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Associations of heat exposure with mental health and suicide in children and adolescents: a systematic review and meta-analysis. [PDF]
Lai KY, Bauermeister S, Sarkar C.
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Migratory geese adjust wintering movements to both short-term weather and long-term climatic change. [PDF]
Vergin L +4 more
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Risk of heat-related illnesses and preventive measures at mass gathering rock festivals in the summer of 2023 in Japan. [PDF]
Takeda A +3 more
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Extreme Urban Heat and Emergency Department Visits in Older Adults.
Siau E +7 more
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A stochastic model for the analysis of maximum daily temperature
Theoretical and Applied Climatology, 2016In 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, 2015This 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, 2001Maximum 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
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Modeling and Prediction of the Daily Maximum Temperature
IEEE Transactions on Systems, Man, and Cybernetics, 1974This 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
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