Filters








45,985 Hits in 5.6 sec

Visually Comparing Weather Features in Forecasts

P. Samuel Quinan, Miriah Meyer
2016 IEEE Transactions on Visualization and Computer Graphics  
Abstract-Meteorologists process and analyze weather forecasts using visualization in order to examine the behaviors of and relationships among weather features.  ...  In this design study conducted with meteorologists in decision support roles, we identified and attempted to address two significant common challenges in weather visualization: the employment of inconsistent  ...  visualizing weather forecasts, shown in Figure 1 .  ... 
doi:10.1109/tvcg.2015.2467754 pmid:26390490 fatcat:a2jdk2nxvvf4ha5lugz2eoj7mu

Developing a Concept to Visualize Object-based Weather Forecasting Ensembles [article]

Kathrin Feige, Rafael Posada, Ulrich Blahak
2018 Workshop on Visualisation in Environmental Sciences  
A user-oriented intuitive visualization of the new meteorological data is crucial for weather warning and forecasting.  ...  In this context, a group of products will comprise features ("cell objects") that were extracted from three-dimensional radar measurements and NWP ensemble simulations.  ...  The work described in this paper can be assigned to the group of feature-based ensemble visualization methods for weather forecasting applications.  ... 
doi:10.2312/envirvis.20181133 dblp:conf/envirvis-ws/FeigePB18 fatcat:ev44a6k2pzc6leucdegry2ev3a

Turning pictures into numbers: extracting and generating information from complex visualizations

J. GREGORY TRAFTON, SUSAN S. KIRSCHENBAUM, TED L. TSUI, ROBERT T. MIYAMOTO, JAMES A. BALLAS, PAULA D. RAYMOND
2000 International Journal of Human-Computer Studies  
In order to build their qualitative mental models, forecasters integrated information across multiple visualizations and extracted primarily qualitative information from visualizations in a goaldirected  ...  We present a study of complex visualization usage by expert meteorological forecasters. We performed a protocol analysis and examined the types of visualizations they examined.  ...  This research was supported in part by grants 55-7188-00 from the O$ce of Naval Research and by 55-7850-00 to the "rst author from the O$ce of Naval Research.  ... 
doi:10.1006/ijhc.2000.0419 fatcat:o5l5killwneg3dfpsvaukvxrta

Visual Analysis of Spatio-Temporal Data: Applications in Weather Forecasting

A. Diehl, L. Pelorosso, C. Delrieux, C. Saulo, J. Ruiz, M. E. Gröller, S. Bruckner
2015 Computer graphics forum (Print)  
The visual interface of our solution allows users to detect both possible weather trends and errors in the weather forecast model.  ...  This paper presents a visualization system for the analysis of spatio-temporal patterns in short-term weather forecasts.  ...  We plan to extend our application by adding more functionality to the minimap timeline in order to display information about ensemble forecasts and vertical levels of altitude.  ... 
doi:10.1111/cgf.12650 fatcat:n6yv2rp7xncjzdtmgvnoupb7ui

Cartograms for Use in Forecasting Weather-Driven Natural Hazards

Florian Pappenberger, Hannah L. Cloke, Calum A. Baugh
2019 The Cartographic Journal  
Table 2 . 2 Data and forecasted weather variable or index used in the visualizations of cartograms.  ...  Another typical feature of weather forecast maps is the masking (hiding) of sea values.  ...  Florian has a scientific background in the forecasting of weather-driven natural hazards including floods, droughts, windstorms, forest fires and impacts on human health.  ... 
doi:10.1080/00087041.2018.1534358 fatcat:2kp2yvsbafdnti4lxbzrnnlxmi

Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting

A. Diehl, L. Pelorosso, C. Delrieux, K. Matković, J. Ruiz, M.E. Gröller, S. Bruckner
2017 Computer graphics forum (Print)  
Probabilistic weather forecasts are amongst the most popular ways to quantify numerical forecast uncertainties.  ...  In this paper, we propose a novel approach that breaks down the automatic process using the experience and knowledge of the users and creates a new interactive visual workflow.  ...  This research has been supported by DFG in Priority Research Programme "Volunteered Geographic Information: Interpretation, Visualisation and Social Computing" (SPP 1894); by the MetaVis project (Nbr.  ... 
doi:10.1111/cgf.13279 fatcat:cxycheympfgrzi6nqkpcintuyi

Deep multi-stations weather forecasting: explainable recurrent convolutional neural networks [article]

Ismail Alaoui Abdellaoui, Siamak Mehrkanoon
2021 arXiv   pre-print
In particular, we show that adding a self-attention block within the models increases the overall forecasting performance.  ...  Deep learning applied to weather forecasting has started gaining popularity because of the progress achieved by data-driven models.  ...  In [7] , the different challenges of using deep learning for weather forecasting are addressed.  ... 
arXiv:2009.11239v6 fatcat:xgvcctw2nveqpkscojhjz6nii4

Visualization of Neural Network Predictions for Weather Forecasting [article]

Isabelle Roesch, Tobias Günther
2017 International Symposium on Vision, Modeling, and Visualization  
The presented visualization system helped us to quickly assess, adjust and improve the network design.  ...  We applied our method to a recurrent convolutional neural network that was trained and tested on 25 years of climate data to forecast meteorological attributes, such as temperature, pressure and wind speed  ...  In this paper, we present an interactive visualization tool that allows the user to directly compare the performance of individual networks on both training and test data in the context of weather prediction  ... 
doi:10.2312/vmv.20171260 dblp:conf/vmv/RoeschG17 fatcat:6meb2ol475cezegku5qqxv5vte

Enhancing the operational value of snowpack models with visualization design principles

Simon Horton, Stan Nowak, Pascal Haegeli
2020 Natural Hazards and Earth System Sciences  
We suggest that model data be visualized in ways that directly support common forecasting tasks such as identifying snowpack features related to avalanche problems and locating avalanche problems in terrain  ...  Interactive designs play a critical role in understanding these complex datasets and are well suited for forecasting workflows.  ...  This research has been supported by the Natural Sciences and Engineering Research Council Industry Research Chair in Avalanche Risk Management (grant no.  ... 
doi:10.5194/nhess-20-1557-2020 fatcat:fyihasicnfczhosqfh3fmnk6my

Text/Conference Paper

Jens Schreiber, Artjom Buschin, Bernhard Sick
2019 Jahrestagung der Gesellschaft für Informatik  
In this article, we present an in-depth analysis and comparison of influencing factors regarding uncertainty in wind and photovoltaic power forecasts, based on four different machine learning (ML) models  ...  Despite the increasing importance of forecasts of renewable energy, current planning studies only address a general estimate of the forecast quality to be expected and selected forecast horizons.  ...  The results are analyzed w.r.t. the weather features.  ... 
doi:10.18420/inf2019_74 dblp:conf/gi/SchreiberBS19 fatcat:argbdji3yrhx3bqk5jcymhewpe

3-D visualization of ensemble weather forecasts – Part 2: Forecasting warm conveyor belt situations for aircraft-based field campaigns

M. Rautenhaus, C. M. Grams, A. Schäfler, R. Westermann
2015 Geoscientific Model Development Discussions  
Integration of the method into the 3-D ensemble visualization tool Met.3D, introduced in the first part of this study, facilitates interactive visualization of WCB features and derived probabilities in  ...  A case study, revisiting a forecast case from T-NAWDEX-Falcon, illustrates the practical application of Met.3D and demonstrates the use of 3-D and uncertainty visualization for weather forecasting and  ...  To compute p(WCB) from an ensemble weather forecast, we first need to detect WCB features in the individual ensem-20 ble members.  ... 
doi:10.5194/gmdd-8-2161-2015 fatcat:f2wjjc7a4jf3bexyzajjulp5pa

Real-time weather data on terrain

Christopher D. Shaw, Frank T. Y. Jiang, R. Mitchell Parry, Beth Plale, Anthony A. Wasilewski, William Ribarsky, Nickolas L. Faust, Glenn O. Allgood, Nickolas L. Faust
2001 Visualization of Temporal and Spatial Data for Civilian and Defense Applications  
Associated data such as buildings and maps are displayed along with the weather data and the terrain. Requirements for effective 3D visualization for weather forecasting are identified.  ...  The last capability will grow in importance as researchers develop sophisticated models of storm development that yield rules for how storms behave in the presence of hills or mountains and other features  ...  ACKNOWLEDGEMENTS This work was performed in part under a grant from the NSF Large Scientific and Software Data Visualization program and under a MURI grant through ARO.  ... 
doi:10.1117/12.438109 fatcat:7z4t4br42rehba5momu253ooxi

Interactive Visualization of Weather and Ship Data

Patrik Lundblad, Oskar Eurenius, Tobias Heldring
2009 2009 13th International Conference Information Visualisation  
This paper focus on the development of a tool for Ship and Weather Information Monitoring (SWIM) visualizing weather data combined with data from ship voyages.  ...  Overall the result of the study was positive and the users felt that the tool would aid them in the daily work.  ...  The research is in part funded by the "Visualization Program" coordinated by the Swedish Knowledge Foundation.  ... 
doi:10.1109/iv.2009.38 dblp:conf/iv/LundbladEH09 fatcat:k3qijphnkfft7ogosxllvlycfu

A Model Output Deep Learning Method for Grid Temperature Forecasts in Tianjin Area

Keran Chen, Ping Wang, Xiaojun Yang, Nan Zhang, Di Wang
2020 Applied Sciences  
In weather forecasting, numerical weather prediction (NWP) that is based on physical models requires proper post-processing before it can be applied to actual operations.  ...  The MODL method applied to temperature in post-processing is compared with the ECMWF forecast, Model Output Statistics (MOS) methods, and Model Output Machine Learning (MOML) methods.  ...  Figure 6 uses a geographical location in Tianjin as an example to visualize the impact of feature extraction.  ... 
doi:10.3390/app10175808 fatcat:frxklcvlr5hh7a6sk73cfgs4pu

Locating visual storm signatures from satellite images

Yu Zhang, Stephen Wistar, Jose A. Piedra-Fernandez, Jia Li, Michael A. Steinberg, James Z. Wang
2014 2014 IEEE International Conference on Big Data (Big Data)  
Conventional weather forecasting involves solving numerical models based on sensory data. It has been challenging for computers to make forecasts based on the visual patterns from satellite images.  ...  Weather forecasting is a problem where an enormous amount of data must be processed.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Foundation.  ... 
doi:10.1109/bigdata.2014.7004295 dblp:conf/bigdataconf/ZhangWPLSW14 fatcat:c7rscxkz4vayxkesk6evbazrkm
« Previous Showing results 1 — 15 out of 45,985 results