Results 91 to 100 of about 3,413,140 (351)
A method for predicting the uncompleted climate transition process [PDF]
Nonlinear Processes in Geophysics, 2020 Climate change is expressed as a climate system transiting from the initial state to a new state in a short time. The period between the initial state and the new state is defined as the transition process, which is the key part for connecting the two ...
P. Yan +6 more
doaj +1 more source
OPERANDUM Training Materials: Nature-based Solutions for Hydro-Meteorological Hazards
, 2022 The OPERANDUM training materials aim to emphasize the knowledge generated through the EU-funded OPERANDUM project and promote the uptake of Nature-based Solutions for hydro-meteorological hazards in Europe and beyond. Embedded in a series of training units, the materials address common knowledge gaps and highlight lessons learned from the NBS co ...
openaire +1 more source
W-MAE: Pre-trained weather model with masked autoencoder for multi-variable weather forecasting [PDF]
arXiv, 2023 Weather forecasting is a long-standing computational challenge with direct societal and economic impacts. This task involves a large amount of continuous data collection and exhibits rich spatiotemporal dependencies over long periods, making it highly suitable for deep learning models.
arxiv
Celebrating COMET’s 25 Years of Providing Innovative Education and Training
, 2015 The Cooperative Program for Operational Meteorology, Education, and Training (COMET)’s mission when it began in 1990 was to deliver professional development opportunities to U.S.
V. Johnson +6 more
semanticscholar +1 more source
RAQ–A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems
Italian National Conference on Sensors, 2016 Air quality information such as the concentration of PM2.5 is of great significance for human health and city management. It affects the way of traveling, urban planning, government policies and so on.
Ruiyun Yu +4 more
semanticscholar +1 more source
GelLight: Illumination Design, Modeling, and Optimization for Camera‐Based Tactile Sensor
Advanced Intelligent Systems, EarlyView.A systematic modeling and optimization method for camera‐based tactile sensor illumination is proposed, which significantly improves the tactile performance and achieves high geometry reconstruction accuracy. The performance is validated by intensive simulation and real‐world experiments.
Jieji Ren +7 more
wiley +1 more source
Improving trajectory calculations using deep learning inspired single image superresolution [PDF]
arXiv, 2022 Lagrangian trajectory or particle dispersion models as well as semi-Lagrangian advection schemes require meteorological data such as wind, temperature and geopotential at the exact spatio-temporal locations of the particles that move independently from a regular grid.
arxiv
Advanced Intelligent Systems, EarlyView.This article develops a novel feedback structure for machine learning‐based anomaly forecasting, by which both forecasting the future states and detecting the anomalies in these states can be achieved at the same time. The algorithm is shown to be applicable to power systems, verifying its effectiveness in detecting potential faults before they occur ...
Hyung Tae Choi +3 more
wiley +1 more source
Using the Amazing atmosphere to Foster Student Learning and Interest in Meteorology
, 2012 To engage students in active learning, the Oceanography Department at the United States Naval Academy developed a new, not-for-course-credit training activity for its students, the Severe Weather InField Training (SWIFT).
B. Barrett, John E Woods
semanticscholar +1 more source
Journal of Applied Meteorology and Climatology, 2020 Many statistical downscaling methods require observational inputs and expert knowledge and thus cannot be generalized well across different regions. Convolutional neural networks (CNNs) are deep-learning models that have generalization abilities for ...
Yingkai Sha +3 more
semanticscholar +1 more source