Results 11 to 20 of about 192,649 (315)

Analysis on Multi-Factor Synergistic Hazards Mechanism of Wet Micro-Downburst: a Multi-Source Data Fusion Analysis Based on Passenger Vessel Capsizing Accident in Qianxi, Guizhou on 4 May 2025 [PDF]

open access: yesNatural Hazards and Earth System Sciences
The research on the multi-factor synergistic disaster-causing mechanism of wet microbursts, constrained by the scarcity of monitoring data, constitutes a crucial bottleneck restricting the early warning and prevention of major accidents such as water ...
A. Wu   +8 more
doaj   +1 more source

Towards the FAIRification of Meteorological Data: A Meteorological Semantic Model

open access: yes, 2022
Meteorological institutions produce a valuable amount of data as a direct or side product of their activities, which can be potentially explored in diverse applications. However, making this data fully reusable requires considerable efforts in order to guarantee compliance to the FAIR principles.
Annane, Amina   +5 more
openaire   +3 more sources

Correcting citizen‐science air temperature measurements across the Netherlands for short wave radiation bias

open access: yesMeteorological Applications, 2020
Citizen‐science thermometer measurements have the potential to provide information about surface air temperature fields on scales smaller than is typically quantified by the official monitoring network.
Richard C. Cornes   +2 more
doaj   +1 more source

Analysis of temporal and spatial variation of visibility in Beijing, China, from 2015 to 2020

open access: yesNatural Hazards Research, 2023
This study analyzes the visibility characteristics in Beijing from 2015 to 2020 using the 10-min average horizonal visibility hourly data from 20 national meteorological stations (NMSs). We examine the visibility trends on different time and space scales,
Lingling Shen, Xuebo Fan, Xiya Zhang
doaj   +1 more source

Meteorological Data

open access: yes, 2020
Updated to December 10, 2020. The meteorological data covers wind speed, visibility, temperature, station pressure, snow depth, sea level pressure, precipitation amount, sustained wind speed, wind gust, and dew point and it is started from Jan.
Spatial Data Lab
core   +1 more source

TOAR data collection at station China Meteorological Administration (CMA01), China

open access: yes, 2020
Collection of air quality (and meteorological) measurement data at station China Meteorological Administration (CMA01), China. These data were provided by Prof.Dr.
Xu Xiaobin   +1 more
core   +1 more source

Prediction of volcanic ash concentrations in ash clouds from explosive eruptions based on an atmospheric transport model and the Japanese meteorological satellite Himawari-8: a case study for the Kirishima-Shinmoedake eruption on April 4th 2018

open access: yesEarth, Planets and Space, 2023
Prediction of ash concentrations in volcanic ash clouds for the Kirishima-Shinmoedake eruption on April 4th, 2018 is performed on the basis of an atmospheric transport model and the Japanese meteorological satellite Himawari-8.
Kensuke Ishii   +3 more
doaj   +1 more source

Synoptic conditions and radar characteristics for elevated thunderstorm during a snowstorm event in Henan Province

open access: yes暴雨灾害, 2023
A snowstorm event followed by the elevated thunderstorm occurred in Henan Province from February 24 to 25 in 2021. The operational forecast of all meteorological stations failed to capture the thunderstorm of this event, with the snowfall being ...
Shuxia LI   +3 more
doaj   +1 more source

The effect of lossy compression of numerical weather prediction data on data analysis: a case study using enstools-compression 2023.11 [PDF]

open access: yesGeoscientific Model Development
The increasing amount of data in meteorological science requires effective data-reduction methods. Our study demonstrates the use of advanced scientific lossy compression techniques to significantly reduce the size of these large datasets, achieving ...
O. Tintó Prims   +6 more
doaj   +1 more source

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