Spatial-temporal fractions verification for high-resolution ensemble forecasts

Experiments with two ensemble systems of resolutions 10 km (MF10km) and 2 km (MF2km) were designed to examine the value of cloud-resolving ensemble forecast in predicting precipitation on small spatio-temporal scales. Since the verification was performed on short-term precipitation at high resolutio...

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Main Authors: Le Duc, Kazuo Saito, Hiromu Seko
Format: Article
Language:English
Published: Taylor & Francis Group 2013-04-01
Series:Tellus: Series A, Dynamic Meteorology and Oceanography
Subjects:
Online Access:http://www.tellusa.net/index.php/tellusa/article/download/18171/pdf_2
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spelling doaj-3ea8f5f027604f7a947a5ef18646f6f12020-11-25T01:49:37ZengTaylor & Francis GroupTellus: Series A, Dynamic Meteorology and Oceanography0280-64951600-08702013-04-0165012210.3402/tellusa.v65i0.18171Spatial-temporal fractions verification for high-resolution ensemble forecastsLe DucKazuo SaitoHiromu SekoExperiments with two ensemble systems of resolutions 10 km (MF10km) and 2 km (MF2km) were designed to examine the value of cloud-resolving ensemble forecast in predicting precipitation on small spatio-temporal scales. Since the verification was performed on short-term precipitation at high resolution, uncertainties from small-scale processes caused the traditional verification methods to be inconsistent with the subjective evaluation. An extended verification method based on the Fractions Skill Score (FSS) was introduced to account for these uncertainties. The main idea is to extend the concept of spatial neighbourhood in FSS to the time and ensemble dimension. The extension was carried out by recognising that even if ensemble forecast is used, small-scale variability still exists in forecasts and influences verification results. In addition to FSS, the neighbourhood concept was also incorporated into reliability diagrams and relative operating characteristics to verify the reliability and resolution of two systems. The extension of FSS in time dimension demonstrates the important role of temporal scales in short-term precipitation verification at small spatial scales. The extension of FSS in ensemble space is called the ensemble FSS, which is a good representative of FSS for ensemble forecast in comparison with the FSS of ensemble mean. The verification results show that MF2km outperforms MF10km in heavy rain forecasts. In contrast, MF10km was slightly better than MF2km in predicting light rains, suggesting that the horizontal resolution of 2 km is not necessarily enough to completely resolve convective cells.http://www.tellusa.net/index.php/tellusa/article/download/18171/pdf_2small-scale variabilityfractions skill scoreintensity-scale diagramreliabilityresolution
collection DOAJ
language English
format Article
sources DOAJ
author Le Duc
Kazuo Saito
Hiromu Seko
spellingShingle Le Duc
Kazuo Saito
Hiromu Seko
Spatial-temporal fractions verification for high-resolution ensemble forecasts
Tellus: Series A, Dynamic Meteorology and Oceanography
small-scale variability
fractions skill score
intensity-scale diagram
reliability
resolution
author_facet Le Duc
Kazuo Saito
Hiromu Seko
author_sort Le Duc
title Spatial-temporal fractions verification for high-resolution ensemble forecasts
title_short Spatial-temporal fractions verification for high-resolution ensemble forecasts
title_full Spatial-temporal fractions verification for high-resolution ensemble forecasts
title_fullStr Spatial-temporal fractions verification for high-resolution ensemble forecasts
title_full_unstemmed Spatial-temporal fractions verification for high-resolution ensemble forecasts
title_sort spatial-temporal fractions verification for high-resolution ensemble forecasts
publisher Taylor & Francis Group
series Tellus: Series A, Dynamic Meteorology and Oceanography
issn 0280-6495
1600-0870
publishDate 2013-04-01
description Experiments with two ensemble systems of resolutions 10 km (MF10km) and 2 km (MF2km) were designed to examine the value of cloud-resolving ensemble forecast in predicting precipitation on small spatio-temporal scales. Since the verification was performed on short-term precipitation at high resolution, uncertainties from small-scale processes caused the traditional verification methods to be inconsistent with the subjective evaluation. An extended verification method based on the Fractions Skill Score (FSS) was introduced to account for these uncertainties. The main idea is to extend the concept of spatial neighbourhood in FSS to the time and ensemble dimension. The extension was carried out by recognising that even if ensemble forecast is used, small-scale variability still exists in forecasts and influences verification results. In addition to FSS, the neighbourhood concept was also incorporated into reliability diagrams and relative operating characteristics to verify the reliability and resolution of two systems. The extension of FSS in time dimension demonstrates the important role of temporal scales in short-term precipitation verification at small spatial scales. The extension of FSS in ensemble space is called the ensemble FSS, which is a good representative of FSS for ensemble forecast in comparison with the FSS of ensemble mean. The verification results show that MF2km outperforms MF10km in heavy rain forecasts. In contrast, MF10km was slightly better than MF2km in predicting light rains, suggesting that the horizontal resolution of 2 km is not necessarily enough to completely resolve convective cells.
topic small-scale variability
fractions skill score
intensity-scale diagram
reliability
resolution
url http://www.tellusa.net/index.php/tellusa/article/download/18171/pdf_2
work_keys_str_mv AT leduc spatialtemporalfractionsverificationforhighresolutionensembleforecasts
AT kazuosaito spatialtemporalfractionsverificationforhighresolutionensembleforecasts
AT hiromuseko spatialtemporalfractionsverificationforhighresolutionensembleforecasts
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