Special Issue: 10th Anniversary of Atmosphere: Climatology and Meteorology [PDF]
Atmosphere, 2021 During the last decade, the number of open access science journals has increased, and these have become an avenue for publishing quality science in a relatively fast and economical way [...]
Anthony R. Lupo +6 more
openaire +5 more sources
WHIRL WIND DETECTION AND IDENTIFICATION IN INDONESIA UTILIZING SINGLE POLARIZATION DOPPLER WEATHER RADAR VOLUMETRIC DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Whirl wind occurrence frequency in Indonesia tends increasing in the last five years. Geospatial data from National Agency for Disaster Management (BNPB) recorded 72 cases with the impact of the two victims died, ten injured, 485 people were evacuated ...
A. Ali, A. Ali, S. Hidayati, S. Hidayati
doaj +1 more source
Spatiotemporal Analysis of Meteorological Drought Variability in the Indian Region Using Standardized Precipitation Index [PDF]
Meteorological Applications, 19(2), 256-264 2012, 2015 Grid (1{\deg} latitude x 1{\deg} longitude) level daily rainfall data over India from June to September for the years 1951 to 2007, generated by India Meteorological Department, was analyzed to build monthly time series of Standardized Precipitation Index (SPI).
arxiv +1 more source
Assessment of trends of air temperature based on 140-year observations of V.A. Mikhelson Meteorological Observatory [PDF]
Caspian Journal of Environmental Sciences, 2021 The article deals with the test of the main hypothesis about regional climate warming based on the analysis of unique continuous long-term observations of air temperature in 1879-2018 at V.A. Mikhelson meteorological observatory.
Aleksandr Ivanovich Belolubtsev +4 more
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Thunderstorm Nowcasting With Deep Learning: A Multi‐Hazard Data Fusion Model
Geophysical Research Letters, 2023 Predictions of thunderstorm‐related hazards are needed in several sectors, including first responders, infrastructure management and aviation. To address this need, we present a deep learning model that can be adapted to different hazard types. The model
Jussi Leinonen +3 more
doaj +1 more source
Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches [PDF]
, 2019 In this research, climate classification maps over the Korean Peninsula at 1 km resolution were generated using the satellite-based climatic variables of monthly temperature and precipitation based on machine learning approaches.
Im, Jungho +6 more
core +1 more source
Determination and climatology of the planetary boundary layer height above the Swiss plateau by in situ and remote sensing measurements as well as by the COSMO-2 model [PDF]
Atmospheric Chemistry and Physics, 2014 The planetary boundary layer (PBL) height is a key parameter in air quality control and pollutant dispersion. The PBL height cannot, however, be directly measured, and its estimation relies on the analysis of the vertical profiles of the temperature ...
M. Collaud Coen +5 more
doaj +1 more source
Turbulent flow at 190 m height above London during 2006-2008: A climatology and the applicability of similarity theory [PDF]
, 2010 Flow and turbulence above urban terrain is more complex than above rural terrain, due to the different momentum and heat transfer characteristics that are affected by the presence of buildings (e.g. pressure variations around buildings).
A Dore +46 more
core +1 more source