Results 11 to 20 of about 4,980 (265)
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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Analysis of factors influencing hemorrhagic fever with renal syndrome and its prediction in Weifang, China from 2013 to 2021 [PDF]
Osong Public Health and Research PerspectivesObjectives This study aimed to analyze the epidemiology and trends of hemorrhagic fever with renal syndrome (HFRS) in Weifang, China (2013–2021) and to guide prevention strategies. Methods The study examined the prevalence and incidence trends of HFRS in
Hui Zhang +6 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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Heliyon, 2022 Background and objectives: Climate change impacts are felt unequally worldwide; populations that experience geographical vulnerability, those living in small island states and densely populated coastal areas, and children and women are affected ...
Ishwar Tiwari +8 more
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Annals of Occupational and Environmental Medicine, 2018 Background Health forecasting has been used in an attempt to provide timely and tailored meteorological information to patients and healthcare providers so that they might take appropriate actions to mitigate health risks and manage healthcare-related ...
Minsu Ock +7 more
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Supporting Meteorologists in Data Analysis through Knowledge-Based Recommendations
Big Data and Cognitive Computing, 2022 Climate change means coping directly or indirectly with extreme weather conditions for everybody. Therefore, analyzing meteorological data to create precise models is gaining more importance and might become inevitable.
Thoralf Reis +5 more
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