Results 11 to 20 of about 102,586 (303)
Seasons, weather, and device-measured movement behaviors: a scoping review from 2006 to 2020
International Journal of Behavioral Nutrition and Physical Activity, 2021 Background This scoping review summarized research on (a) seasonal differences in physical activity and sedentary behavior, and (b) specific weather indices associated with those behaviors.
Taylor B. Turrisi +7 more
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Environmental Data Science, 2023 Atmospheric processes involve both space and time. Thus, humans looking at atmospheric imagery can often spot important signals in an animated loop of an image sequence not apparent in an individual (static) image.
Akansha S. Bansal +3 more
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A new concept of drought feeling against the meteorological drought
Scientific Reports, 2022 AbstractDrought is a natural disaster that causes much damage to the communities. Recently, water demand has been increasing sharply due to the population growth and the development process. By approaching the amount of water demand to the natural supplies, any decrease in the water supply may lead to a considerable negative socio-economic consequence.
Farhad Hooshyaripor +3 more
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Experiences with distributed computing for meteorological applications: grid computing and cloud computing [PDF]
Geoscientific Model Development, 2015 Experiences with three practical meteorological applications with different characteristics are used to highlight the core computer science aspects and applicability of distributed computing to meteorology.
F. Oesterle +3 more
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Heliyon, 2023 Background: Recent studies on COVID-19 have demonstrated that poverty, comorbidities, race/ethnicity, population density, mobility, hygiene and use of masks are some of the important correlates of COVID-19 outcomes.
Shanshan Xu +4 more
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MLAir (v1.0) – a tool to enable fast and flexible machine learning on air data time series [PDF]
Geoscientific Model Development, 2021 With MLAir (Machine Learning on Air data) we created a software environment that simplifies and accelerates the exploration of new machine learning (ML) models, specifically shallow and deep neural networks, for the analysis and forecasting of ...
L. H. Leufen +4 more
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Meteodiversity: a new concept for quantifying meteorological diversity [PDF]
Weather, 2017 This is the peer reviewed version of the following article: Mazon, J., Pino, D. Meteodiversity: a new concept for quantifying meteorological diversity. "Weather", 10 Maig 2017, vol. 72, núm. 5, p. 143-145., which has been published in final form at http://onlinelibrary.wiley.com/wol1/doi/10.1002/wea.2945/abstract.
Mazón Bueso, Jordi +1 more
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Improving the climate data management in the meteorological service of Angola: experience from SASSCAL [PDF]
Advances in Science and Research, 2016 The knowledge on climate variability in parts of Southern Africa is limited because of the low availability of historic and present-day ground-based observations (Niang et al., 2014).
R. Posada +4 more
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Prediction Model for Demands of the Health Meteorological Information Using a Decision Tree Method
Asian Nursing Research, 2010 Climate change affects human health and calls for health meteorological services. The purpose of this study is to find the significant predictors for the demands of the health meteorological information.
Jina Oh, RN, PhD, Byungsoo Kim, PhD
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Филологический класс, 2022 The article presents a review of the Siberian Meteorological Dictionary compiled by talented researchers V. P. Vasiliev and E. V. Vasilyeva (Kemerovo, Kemerovo State University), which implements the idea of synthesizing the traditional summarized ...
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