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A Machine Learning Tutorial for Operational Meteorology, Part I: Traditional Machine Learning [PDF]
Recently, the use of machine learning in meteorology has increased greatly. While many machine learning methods are not new, university classes on machine learning are largely unavailable to meteorology students and are not required to become a ...
R. Chase+4 more
semanticscholar +1 more source
An Application of Markov Switching Models in Predicting Visceral Leishmaniasis in Ardabil Province, Iran [PDF]
Background: Visceral leishmaniasis (VL) is a neglected infection currently occurring in some regions of Europe, Asia, Africa, and America. This study was an attempt to determine the temporal patterns of VL from January 2000 to December 2019 in the ...
Vahid Rahmanian+3 more
doaj +1 more source
Acknowledgment to the Reviewers of Meteorology in 2022
High-quality academic publishing is built on rigorous peer review [...]
Meteorology Editorial Office
doaj +1 more source
The Influence of Meteorological Parameters on PM2.5 Concentrations on the Aegean Islands
A network of low-cost sensors operates at six islands in the Aegean Sea (Lemnos, Lesvos, Chios, Samos, Syros and Rhodes) providing real-time PM2.5 concentrations to the public.
Kyriaki-Maria Fameli+3 more
doaj +1 more source
. China has suffered from increasing levels of ozone pollution in urban areas despite the implementation of various stringent emission reduction measures since 2013.
Yiming Liu, Tao Wang
semanticscholar +2 more sources
Enhancing Flood Resilience: Streamflow Forecasting and Inundation Modeling in Pakistan
Climatic changes have increased the frequency of natural disasters, and Pakistan, as a developing nation, is facing severe challenges in coping with floods, which have devastatingly impacted people’s livelihoods.
Maham Shehzadi+4 more
doaj +1 more source
Oedaleus decorus asiaticus (Bey-Bienko) is a destructive pest in grasslands and adjacent farmland in northern China, Mongolia, and other countries in Asia.
Yunping Wang+6 more
doaj +1 more source
Identification of Extreme Wind Events Using a Weather Type Classification
The identification of extreme wind events and their driving forces are crucial to better integrating wind generation into the power system. Recent work related the occurrence of extreme wind events with some weather circulation patterns, enabling the ...
António Couto+2 more
doaj +1 more source
Meteorology-normalized impact of the COVID-19 lockdown upon NO2 pollution in Spain
. The spread of the new coronavirus SARS-CoV-2 that causes COVID-19 forced the Spanish Government to implement extensive lockdown measures to reduce the number of hospital admissions, starting on 14 March 2020.
H. Petetin+6 more
semanticscholar +1 more source
. Atmospheric aerosols can exert influence on meteorology and air quality through aerosol-radiation interactions (ARI) and aerosol-cloud interactions (ACI) and this two-way feedback has been studied by applying two-way coupled meteorology and air quality
Chao Gao+7 more
semanticscholar +1 more source