The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical Models

After a tropical cyclone (TC) making landfall, the numerical model output sea level pressure (SLP) presents many small-scale perturbations which significantly influence the positioning of the TC center. To fix the problem, Barnes filter with weighting parameters C=2500 and G=0.35 is used to remove t...

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Main Authors: Haibo Zou, Shanshan Wu, Xueting Yi, Nan Wu
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Advances in Meteorology
Online Access:http://dx.doi.org/10.1155/2018/1747530
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spelling doaj-10ba016d6ba14988936057397cd365ac2020-11-25T01:49:13ZengHindawi LimitedAdvances in Meteorology1687-93091687-93172018-01-01201810.1155/2018/17475301747530The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical ModelsHaibo Zou0Shanshan Wu1Xueting Yi2Nan Wu3Meteorological Disaster Emergency Warning Centre of Jiangxi, Nanchang 330096, ChinaJiangxi Climate Centre, Nanchang 330096, ChinaMeteorological Disaster Emergency Warning Centre of Jiangxi, Nanchang 330096, ChinaMeteorological Disaster Emergency Warning Centre of Jiangxi, Nanchang 330096, ChinaAfter a tropical cyclone (TC) making landfall, the numerical model output sea level pressure (SLP) presents many small-scale perturbations which significantly influence the positioning of the TC center. To fix the problem, Barnes filter with weighting parameters C=2500 and G=0.35 is used to remove these perturbations. A case study of TC Fung-Wong which landed China in 2008 shows that Barnes filter not only cleanly removes these perturbations, but also well preserves the TC signals. Meanwhile, the centers (track) obtained from SLP processed with Barnes filter are much closer to the observations than that from SLP without Barnes filter. Based on the distance difference (DD) between the TC center determined by SLP with/without Barnes filter and observation, statistics analysis of 12 TCs which landed China during 2005–2015 shows that in most cases (about 85%) the DDs are small (between −30 km and 30 km), while in a few cases (about 15%) the DDs are large (greater than 30 km even 70 km). This further verifies that the TC centers identified from SLP with Barnes filter are more accurate compared to that directly obtained from model output SLP. Moreover, the TC track identified with Barnes filter is much smoother than that without Barnes filter.http://dx.doi.org/10.1155/2018/1747530
collection DOAJ
language English
format Article
sources DOAJ
author Haibo Zou
Shanshan Wu
Xueting Yi
Nan Wu
spellingShingle Haibo Zou
Shanshan Wu
Xueting Yi
Nan Wu
The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical Models
Advances in Meteorology
author_facet Haibo Zou
Shanshan Wu
Xueting Yi
Nan Wu
author_sort Haibo Zou
title The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical Models
title_short The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical Models
title_full The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical Models
title_fullStr The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical Models
title_full_unstemmed The Application of Barnes Filter to Positioning the Center of Landed Tropical Cyclone in Numerical Models
title_sort application of barnes filter to positioning the center of landed tropical cyclone in numerical models
publisher Hindawi Limited
series Advances in Meteorology
issn 1687-9309
1687-9317
publishDate 2018-01-01
description After a tropical cyclone (TC) making landfall, the numerical model output sea level pressure (SLP) presents many small-scale perturbations which significantly influence the positioning of the TC center. To fix the problem, Barnes filter with weighting parameters C=2500 and G=0.35 is used to remove these perturbations. A case study of TC Fung-Wong which landed China in 2008 shows that Barnes filter not only cleanly removes these perturbations, but also well preserves the TC signals. Meanwhile, the centers (track) obtained from SLP processed with Barnes filter are much closer to the observations than that from SLP without Barnes filter. Based on the distance difference (DD) between the TC center determined by SLP with/without Barnes filter and observation, statistics analysis of 12 TCs which landed China during 2005–2015 shows that in most cases (about 85%) the DDs are small (between −30 km and 30 km), while in a few cases (about 15%) the DDs are large (greater than 30 km even 70 km). This further verifies that the TC centers identified from SLP with Barnes filter are more accurate compared to that directly obtained from model output SLP. Moreover, the TC track identified with Barnes filter is much smoother than that without Barnes filter.
url http://dx.doi.org/10.1155/2018/1747530
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