- Precipitation modeling for prediction of the evolution of acoustic ...🔍
- An Urban Acoustic Rainfall Estimation Technique Using a CNN ...🔍
- Investigation of strong acoustic interference on clouds and ...🔍
- Modeling Uncertainties in the Prediction of the Acoustic Wavefield in ...🔍
- Prediction of underwater sound levels from rain and wind🔍
- Automating the Detection of Precipitation and Wind Characteristics ...🔍
- Precipitation Modeling for Extreme Weather Based on Sparse ...🔍
- Physics‐based model to predict the acoustic detection distance of ...🔍
Precipitation modeling for prediction of the evolution of acoustic ...
Precipitation modeling for prediction of the evolution of acoustic ...
Precipitation modeling is used to predict the evolution of β due to precipitate-pinned dislocations in an iron-copper alloy. The predicted growth trends in Δβ ...
An Urban Acoustic Rainfall Estimation Technique Using a CNN ...
Therefore, other acoustic features must be combined with loudness features to enable a model to differentiate the rainfall intensity in a mixed urban ...
Investigation of strong acoustic interference on clouds and ...
Research on precipitation interference and rainfall microphysical results under large-scale acoustic waves were investigated in detail via Ka ...
Modeling Uncertainties in the Prediction of the Acoustic Wavefield in ...
The different forecast realizations of the sound speed field are then fed into a Naval Postgraduate School coupled-mode sound propagation model to produce ...
Prediction of underwater sound levels from rain and wind
This physically based semi-empirical model predicts the ambient sound spectra (0.5–50 kHz) at rainfall rates from 2–200 mm/h and wind speeds from 2 to 14 m/s.
Automating the Detection of Precipitation and Wind Characteristics ...
Using acoustic modeling of transmission loss, signals at a frequency of 15 kHz can ... Nystuen, and Ren-Chieh Lien, “Prediction of underwater ...
(PDF) Statistic evaluation of low-frequency acoustic wave impact on ...
Statistical analysis was applied to evaluate the effect of acoustic wave on precipitation stimulation. The results of average rainfall intensity ...
Precipitation Modeling for Extreme Weather Based on Sparse ...
Existing precipitation models are limited in time-span, and long-range simulations cannot predict rainfall distribution for a specific year.
Physics‐based model to predict the acoustic detection distance of ...
Physics-based model to predict the acoustic detection distance of terrestrial autonomous recording units over the diel cycle and across seasons.
acoustic waves in the source region of the Yellow River
precipitation, temporal evolution of the average diameter D1, rain rate R, radar ... Precipitation: Measurement, remote sensing, climatology and modeling.
Brief communication: The potential use of low-cost acoustic sensors ...
The development of acoustic methods for recording rainfall intensity and occurrence is growing in popularity. For example, the sound recorded by ...
A new strong convective precipitation forecasting method based on ...
Due to the variable environment and weather conditions of strong convective precipitation, it is difficult to accurately predict the development ...
Extreme Precipitation Nowcasting using Transformer-based ... - arXiv
(2023) regularizes the hidden dynamics incorporating an Extreme Values Loss (EVL) to effectively model and predict extreme precipitation events, ...
A Consolidated Theory for Predicting Rain Noise - Sage Journals
This paper presents a theory for rain noise prediction, consolidating discussions of drop impact on a plate and resulting work on rain noise predictions ...
Recent advances in rainfall modeling, estimation, and forecasting
Since their introduction, scaling models of rain have evolved from fractal ... water acoustic sensor (Nystuen, 1986). Rainfall forecasting. Quantitative ...
Acoustic species distribution models (aSDMs): A framework to ...
These environmental variables can be rescaled to fit the temporal resolution of audio recordings or the desired resolution of analysis. Moreover ...
arXiv:2309.16867v1 [eess.AS] 28 Sep 2023
Since MERRA-2 has global coverage, our method offers a practical way to train rain models using acoustic datasets around the world. Index ...
Investigation of Precipitation Characteristics under the Action of ...
If the acoustic wave has no effect or no external interference on precipitation, the frequency of occurrence of various operation events under various rainfall ...
A neural network for probabilistic precipitation nowcasting with ...
rainfall evolution. LINDA predictions are made using reflectivity ... Neural Weather Model for Precipitation Forecasting, https://doi.org/10.48550 ...
Evaluation of Climate Models - IPCC
Global trends in precipitation extremes (Section 9.5.4.2). TAS-ext ... modeling and prediction of weather and climate: A 25-year journey. Bull. Am ...