Verification of high-impact weather event forecasts for the region of the Sochi-2014 Olympic Games. Part I: Deterministic forecasts during the test period

Муравьев, А. В.; Kiktev, D. B.; Bundel, A. Yu.; Dmitrieva, T. G.; Smirnov, Alexander

doi:10.3103/s1068373915090034

Cited by 10 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They will also cause changes in the environment and venues of sports events. These meteorological elements are sensitive factors that affect the operation and management of the event and the athlete's state [47]. Snowfall and snow quality of the track are the primary factors affecting alpine skiing events.…”

Section: Knowledge Of Meteorological Risks For Alpine Skiing Eventsmentioning

confidence: 99%

Risk Assessment of Alpine Skiing Events Based on Knowledge Graph: A Focus on Meteorological Conditions

Wang

Zhang

Feng

et al. 2021

IJGI

View full text Add to dashboard Cite

The alpine skiing event is particularly vulnerable to changes in meteorological conditions as a winter sport held outdoors. The commonly used risk assessment methods cannot be inflexible and cannot be dynamically adjusted to combine multiple risk factors and actual conditions. A knowledge graph can organize data resources in the risk domain as structured knowledge systems. This paper combines a knowledge graph and risk assessment to effectively assess the risk status. First of all, we introduce the relevant literature review of sports event risk assessment, combining the characteristics of alpine skiing events. Then, we summarize the risk types of alpine skiing events and related risk knowledge. Secondly, a model is proposed to introduce an event risk assessment model based on the RippleNet framework combined with the characteristics of large-scale sports events. Moreover, the validity of the model is verified. The results show that the RippleNet-based event risk assessment model can be used to assess the risk of alpine skiing events. In order to effectively deal with the large-scale sports events that occur with a variety of risks, the smooth implementation of large-scale sports events provides a strong guarantee.

show abstract

Section: Knowledge Of Meteorological Risks For Alpine Skiing Eventsmentioning

confidence: 99%

Risk Assessment of Alpine Skiing Events Based on Knowledge Graph: A Focus on Meteorological Conditions

Wang

Zhang

Feng

et al. 2021

IJGI

View full text Add to dashboard Cite

show abstract

“…Investigating high-impact weather cases where certain model features are enhanced can offer valuable information to identify behavioral patterns specific to each numerical model. For numerical weather prediction models to be used in operational weather forecasts for a specific area of interest, a thorough analysis of the quality of model simulations for extended periods is necessary (Damrath et al, 2000;Muravev et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Comparison of COSMO and ICON-LAM high-resolution numerical forecast for Romanian territory: Case studies and evaluation

Iriza-Burca,

Dumitrache,

Maco

et al. 2024

Atm.

View full text Add to dashboard Cite

This paper aims to offer the first detailed inter-comparison of the performance from the numerical weather prediction models Consortium for Small-scale Modeling (COSMO) and Icosahedral Nonhydrostatic General Circulation Model, Limited Area Mode (ICON-LAM), integrated for the Romanian territory at the horizontal resolution of 2.8 km. As the ICON numerical model is set to replace COSMO, a comparison is carried out between the operational configurations of the two models. First, two cases with severe weather (strong atmospheric instability, observed heavy precipitation, and strong wind) are analyzed: February 3-6, 2020 (heavy precipitation [snow] and very strong wind) and May 3-5, 2020 (heavy precipitation). This is followed by a statistical inter-comparison between the two models for the summer of 2020 (June, July, August). A statistical evaluation of the forecast quality from the two models is performed objectively, through statistical scores computed using surface observations from all available meteorological stations on the Romanian territory. Stratifications depending on station altitude and location are carried out, with emphasis on stations of particular interest, depending on the evolution of the synoptic situation. Following the statistical evaluation, results for the precipitation forecast do not show significant improvement in favor of either model. However, ICON-2.8 km mostly outperforms COSMO-2.8 km for surface parameters.

show abstract

Prediction of tropical cyclone trajectories over the Northern Indian Ocean using COSMO

Paul

Subrahamanyam

2021

Meteorol Atmos Phys

View full text Add to dashboard Cite

Verification of high-impact weather event forecasts for the region of the Sochi-2014 Olympic Games. Part I: Deterministic forecasts during the test period

Cited by 10 publications

References 4 publications

Risk Assessment of Alpine Skiing Events Based on Knowledge Graph: A Focus on Meteorological Conditions

Risk Assessment of Alpine Skiing Events Based on Knowledge Graph: A Focus on Meteorological Conditions

Comparison of COSMO and ICON-LAM high-resolution numerical forecast for Romanian territory: Case studies and evaluation

Prediction of tropical cyclone trajectories over the Northern Indian Ocean using COSMO

Contact Info

Product

Resources

About