Results 51 to 60 of about 340,036 (318)

Thunderstorm Nowcasting With Deep Learning: A Multi‐Hazard Data Fusion Model

open access: yesGeophysical 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

Multidisciplinary Analysis of an Unusual Tornado: Meteorology, Climatology, and the Communication and Interpretation of Warnings*

open access: yes, 2010
On 22 May 2008, a strong tornado—rated EF3 on the enhanced Fujita scale, with winds estimated between 136 and 165 mi h−1 (61 and 74 m s−1)—caused extensive damage along a 55-km track through northern Colorado. The worst devastation occurred in and around
R. Schumacher   +5 more
semanticscholar   +1 more source

Image Processing of Radar Mosaics for the Climatology of Convection Initiation in South China

open access: yesJournal of Applied Meteorology and Climatology, 2020
A dataset of convection initiation (CI) is of great value in studying the triggering mechanisms of deep moist convection and evaluating the performances of numerical models.
L. Bai, Guixing Chen, Ling Huang
semanticscholar   +1 more source

WHIRL WIND DETECTION AND IDENTIFICATION IN INDONESIA UTILIZING SINGLE POLARIZATION DOPPLER WEATHER RADAR VOLUMETRIC DATA [PDF]

open access: yesThe 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

Comparison of temperature and wind profiles between ground-based remote sensing observations and numerical weather prediction model in complex Alpine topography: the Meiringen campaign [PDF]

open access: yesAtmospheric Measurement Techniques
Thermally driven valley winds and near-surface air temperature inversions are common in complex topography and have a significant impact on the local and mesoscale weather situation.
A. Bugnard   +5 more
doaj   +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]

open access: yesAtmospheric 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

EMPOL 1.0: a new parameterization of pollen emission in numerical weather prediction models [PDF]

open access: yesGeoscientific Model Development, 2013
Simulating pollen concentrations with numerical weather prediction (NWP) systems requires a parameterization for pollen emission. We have developed a parameterization that is adaptable for different plant species.
K. Zink   +5 more
doaj   +1 more source

Stable Water Isotopes in Climatology, Meteorology, and Hydrology: A Review

open access: yes, 2015
Recent advancements in the measurement and modeling of heavy stable water isotopes (i.e., H2O and HDO), especially in situ and remote sensing spectroscopic vapor isotope measurements and isotope-incorporated general circulation and regional models, have ...
K. Yoshimura
semanticscholar   +1 more source

Non‐stationary forest responses to hotter droughts: a temporal perspective considering the role of past legacies

open access: yesEcography, EarlyView.
Global change is altering forests worldwide, with multiple consequences for ecosystem functioning. Temporal changes in climate, and extreme, compounded weather events like hotter droughts are affecting the demography, composition and function of forests, leading to a highly uncertain future.
Xavier Serra‐Maluquer   +3 more
wiley   +1 more source

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