Artículo

Diehl, A.; Pelorosso, L.; Delrieux, C.; Matković, K.; Ruiz, J.; Gröller, M.E.; Bruckner, S. "Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting" (2017) Computer Graphics Forum. 36(7):135-144
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Abstract:

Probabilistic weather forecasts are amongst the most popular ways to quantify numerical forecast uncertainties. The analog regression method can quantify uncertainties and express them as probabilities. The method comprises the analysis of errors from a large database of past forecasts generated with a specific numerical model and observational data. Current visualization tools based on this method are essentially automated and provide limited analysis capabilities. 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. Our approach allows forecasters to study probabilistic forecasts, their inner analogs and observations, their associated spatial errors, and additional statistical information by means of coordinated and linked views. We designed the presented solution following a participatory methodology together with domain experts. Several meteorologists with different backgrounds validated the approach. Two case studies illustrate the capabilities of our solution. It successfully facilitates the analysis of uncertainty and systematic model biases for improved decision-making and process-quality measurements. © 2017 The Author(s) Computer Graphics Forum © 2017 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd.

Registro:

Documento: Artículo
Título:Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting
Autor:Diehl, A.; Pelorosso, L.; Delrieux, C.; Matković, K.; Ruiz, J.; Gröller, M.E.; Bruckner, S.
Filiación:University of Konstanz, Germany
University of Buenos Aires, Argentina
South National University, Argentina
VRVis Research Center in Vienna, Austria
DCAO (FCEN/UBA) - CIMA (CONICET/UBA), Argentina
Vienna University of Technology, Austria
University of Bergen, Norway
Palabras clave:Categories and Subject Descriptors (according to ACM CCS); I.3.3 [Computer Graphics]: Picture/Image Generation—Viewing algorithms; I.3.6 [Computer Graphics]: Methodology and Techniques—Interaction techniques; I.3.8 [Computer Graphics]: Applications—Probabilistic Weather Forecasting; Computer graphics; Decision making; Forecasting; Numerical methods; Quality control; Regression analysis; Uncertainty analysis; Visualization; Analysis capabilities; Descriptors; Forecast uncertainty; Interaction techniques; Probabilistic forecasts; Probabilistic weather forecasting; Statistical information; Viewing algorithms; Weather forecasting
Año:2017
Volumen:36
Número:7
Página de inicio:135
Página de fin:144
DOI: http://dx.doi.org/10.1111/cgf.13279
Título revista:Computer Graphics Forum
Título revista abreviado:Comput Graphics Forum
ISSN:01677055
CODEN:CGFOD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01677055_v36_n7_p135_Diehl

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Citas:

---------- APA ----------
Diehl, A., Pelorosso, L., Delrieux, C., Matković, K., Ruiz, J., Gröller, M.E. & Bruckner, S. (2017) . Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting. Computer Graphics Forum, 36(7), 135-144.
http://dx.doi.org/10.1111/cgf.13279
---------- CHICAGO ----------
Diehl, A., Pelorosso, L., Delrieux, C., Matković, K., Ruiz, J., Gröller, M.E., et al. "Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting" . Computer Graphics Forum 36, no. 7 (2017) : 135-144.
http://dx.doi.org/10.1111/cgf.13279
---------- MLA ----------
Diehl, A., Pelorosso, L., Delrieux, C., Matković, K., Ruiz, J., Gröller, M.E., et al. "Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting" . Computer Graphics Forum, vol. 36, no. 7, 2017, pp. 135-144.
http://dx.doi.org/10.1111/cgf.13279
---------- VANCOUVER ----------
Diehl, A., Pelorosso, L., Delrieux, C., Matković, K., Ruiz, J., Gröller, M.E., et al. Albero: A Visual Analytics Approach for Probabilistic Weather Forecasting. Comput Graphics Forum. 2017;36(7):135-144.
http://dx.doi.org/10.1111/cgf.13279