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Four Storm Surge Cases on the Coast of São Paulo, Brazil: Weather Analyses and High-Resolution Forecasts
The coast of São Paulo, Brazil, is exposed to storm surges that can cause damage and floods. These storm surges are produced by slowly traveling cyclone–anticyclone systems. The motivation behind this work was the need to evaluate high-resolution forecasts of the mean sea-level pressure and 10 m win...
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Published in: | Journal of marine science and engineering 2024-05, Vol.12 (5), p.771 |
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creator | Chou, Sin Chan Sondermann, Marcely Chagas, Diego José Gomes, Jorge Luís Souza, Celia Regina de Gouveia Ruiz, Matheus Souza Sampaio, Alexandra F. P. Ribeiro, Renan Braga Ferreira, Regina Souza Silva, Priscila Linhares da Harari, Joseph |
description | The coast of São Paulo, Brazil, is exposed to storm surges that can cause damage and floods. These storm surges are produced by slowly traveling cyclone–anticyclone systems. The motivation behind this work was the need to evaluate high-resolution forecasts of the mean sea-level pressure and 10 m winds, which are the major drivers of the wave model. This work is part of the activity in devising an early warning system for São Paulo coastal storm surges. For the evaluation, four case studies that had a major impact on the coast of São Paulo in 2020 were selected. Because storm surges that reach the coast may cause coastal flooding, precipitation forecasts were also evaluated. The mesoscale Eta model produces forecasts with a 5 km resolution for up to an 84 h lead time. The model was set up in a region that covers part of southeast and south Brazil. The ERA5 reanalysis was used to describe the large-scale synoptic conditions and to evaluate the weather forecasts. The cases showed a region in common between 35° S, 40° S and 35° W, 45° W where the low-pressure center deepened rapidly on the day before the highest waves reached the coast of São Paulo, with a mostly eastward, rather than northeastward, displacement of the associated surface cyclone and minimal or no tilt with height. The winds on the coast were the strongest on the day before the surge reached the coast of São Paulo, and then the winds weakened on the day of the maximum wave height. The pattern of the mean sea-level pressure and 10 m wind in the 36 h, 60 h, and 84 h forecasts agreed with the ERA5 reanalysis, but the pressure was slightly underestimated. In contrast, the winds along the coast were slightly overestimated. The 24 h accumulated precipitation pattern was also captured by the forecast, but was overestimated, especially at high precipitation rates. The 36 h forecasts showed the smallest error, but the growth in the error for longer lead times was small, which made the 84 h forecasts useful for driving wave models and other local applications, such as an early warning system. |
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P. ; Ribeiro, Renan Braga ; Ferreira, Regina Souza ; Silva, Priscila Linhares da ; Harari, Joseph</creator><creatorcontrib>Chou, Sin Chan ; Sondermann, Marcely ; Chagas, Diego José ; Gomes, Jorge Luís ; Souza, Celia Regina de Gouveia ; Ruiz, Matheus Souza ; Sampaio, Alexandra F. P. ; Ribeiro, Renan Braga ; Ferreira, Regina Souza ; Silva, Priscila Linhares da ; Harari, Joseph</creatorcontrib><description>The coast of São Paulo, Brazil, is exposed to storm surges that can cause damage and floods. These storm surges are produced by slowly traveling cyclone–anticyclone systems. The motivation behind this work was the need to evaluate high-resolution forecasts of the mean sea-level pressure and 10 m winds, which are the major drivers of the wave model. This work is part of the activity in devising an early warning system for São Paulo coastal storm surges. For the evaluation, four case studies that had a major impact on the coast of São Paulo in 2020 were selected. Because storm surges that reach the coast may cause coastal flooding, precipitation forecasts were also evaluated. The mesoscale Eta model produces forecasts with a 5 km resolution for up to an 84 h lead time. The model was set up in a region that covers part of southeast and south Brazil. The ERA5 reanalysis was used to describe the large-scale synoptic conditions and to evaluate the weather forecasts. The cases showed a region in common between 35° S, 40° S and 35° W, 45° W where the low-pressure center deepened rapidly on the day before the highest waves reached the coast of São Paulo, with a mostly eastward, rather than northeastward, displacement of the associated surface cyclone and minimal or no tilt with height. The winds on the coast were the strongest on the day before the surge reached the coast of São Paulo, and then the winds weakened on the day of the maximum wave height. The pattern of the mean sea-level pressure and 10 m wind in the 36 h, 60 h, and 84 h forecasts agreed with the ERA5 reanalysis, but the pressure was slightly underestimated. In contrast, the winds along the coast were slightly overestimated. The 24 h accumulated precipitation pattern was also captured by the forecast, but was overestimated, especially at high precipitation rates. The 36 h forecasts showed the smallest error, but the growth in the error for longer lead times was small, which made the 84 h forecasts useful for driving wave models and other local applications, such as an early warning system.</description><identifier>ISSN: 2077-1312</identifier><identifier>EISSN: 2077-1312</identifier><identifier>DOI: 10.3390/jmse12050771</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Anticyclones ; Beaches ; Brazil ; Case studies ; coastal disasters ; Coasts ; Cyclones ; Damage ; early warning ; Early warning systems ; Emergency communications systems ; Employee motivation ; Eta model ; Flood damage ; Floods ; forecast evaluation ; high coastal waves ; High resolution ; Lead time ; Low pressure ; Precipitation ; Precipitation (Meteorology) ; Rain ; Sea level ; Sea level pressure ; Soil erosion ; Storm surges ; Storms ; Tidal waves ; Wave height ; Weather ; Weather forecasting ; weather forecasts ; Winds</subject><ispartof>Journal of marine science and engineering, 2024-05, Vol.12 (5), p.771</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c293t-bc1c13ba96fc5d2a3c3f754fe64a88b8fc56bce26705b5f9ae935d45686b22083</cites><orcidid>0000-0002-8973-1808 ; 0000-0003-2235-171X ; 0000-0001-9223-3394 ; 0000-0003-3581-9457 ; 0000-0002-7094-4504 ; 0000-0002-7318-4731</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3059525515?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3059525515?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25752,27923,27924,37011,38515,43894,44589,74183,74897</link.rule.ids></links><search><creatorcontrib>Chou, Sin Chan</creatorcontrib><creatorcontrib>Sondermann, Marcely</creatorcontrib><creatorcontrib>Chagas, Diego José</creatorcontrib><creatorcontrib>Gomes, Jorge Luís</creatorcontrib><creatorcontrib>Souza, Celia Regina de Gouveia</creatorcontrib><creatorcontrib>Ruiz, Matheus Souza</creatorcontrib><creatorcontrib>Sampaio, Alexandra F. P.</creatorcontrib><creatorcontrib>Ribeiro, Renan Braga</creatorcontrib><creatorcontrib>Ferreira, Regina Souza</creatorcontrib><creatorcontrib>Silva, Priscila Linhares da</creatorcontrib><creatorcontrib>Harari, Joseph</creatorcontrib><title>Four Storm Surge Cases on the Coast of São Paulo, Brazil: Weather Analyses and High-Resolution Forecasts</title><title>Journal of marine science and engineering</title><description>The coast of São Paulo, Brazil, is exposed to storm surges that can cause damage and floods. These storm surges are produced by slowly traveling cyclone–anticyclone systems. The motivation behind this work was the need to evaluate high-resolution forecasts of the mean sea-level pressure and 10 m winds, which are the major drivers of the wave model. This work is part of the activity in devising an early warning system for São Paulo coastal storm surges. For the evaluation, four case studies that had a major impact on the coast of São Paulo in 2020 were selected. Because storm surges that reach the coast may cause coastal flooding, precipitation forecasts were also evaluated. The mesoscale Eta model produces forecasts with a 5 km resolution for up to an 84 h lead time. The model was set up in a region that covers part of southeast and south Brazil. The ERA5 reanalysis was used to describe the large-scale synoptic conditions and to evaluate the weather forecasts. The cases showed a region in common between 35° S, 40° S and 35° W, 45° W where the low-pressure center deepened rapidly on the day before the highest waves reached the coast of São Paulo, with a mostly eastward, rather than northeastward, displacement of the associated surface cyclone and minimal or no tilt with height. The winds on the coast were the strongest on the day before the surge reached the coast of São Paulo, and then the winds weakened on the day of the maximum wave height. The pattern of the mean sea-level pressure and 10 m wind in the 36 h, 60 h, and 84 h forecasts agreed with the ERA5 reanalysis, but the pressure was slightly underestimated. In contrast, the winds along the coast were slightly overestimated. The 24 h accumulated precipitation pattern was also captured by the forecast, but was overestimated, especially at high precipitation rates. The 36 h forecasts showed the smallest error, but the growth in the error for longer lead times was small, which made the 84 h forecasts useful for driving wave models and other local applications, such as an early warning system.</description><subject>Analysis</subject><subject>Anticyclones</subject><subject>Beaches</subject><subject>Brazil</subject><subject>Case studies</subject><subject>coastal disasters</subject><subject>Coasts</subject><subject>Cyclones</subject><subject>Damage</subject><subject>early warning</subject><subject>Early warning systems</subject><subject>Emergency communications systems</subject><subject>Employee motivation</subject><subject>Eta model</subject><subject>Flood damage</subject><subject>Floods</subject><subject>forecast evaluation</subject><subject>high coastal waves</subject><subject>High resolution</subject><subject>Lead time</subject><subject>Low pressure</subject><subject>Precipitation</subject><subject>Precipitation (Meteorology)</subject><subject>Rain</subject><subject>Sea level</subject><subject>Sea level pressure</subject><subject>Soil erosion</subject><subject>Storm surges</subject><subject>Storms</subject><subject>Tidal waves</subject><subject>Wave height</subject><subject>Weather</subject><subject>Weather forecasting</subject><subject>weather forecasts</subject><subject>Winds</subject><issn>2077-1312</issn><issn>2077-1312</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkc9u1DAQxiMEElXbGw9giWtT_CeT2NyWFUsrVQKxII7WxBlvvcrGxU4O5XV4FF6sXhaheg7j-fTNT2NPVb0R_Fopw9_tD5mE5MC7TryozmTJtVBCvnx2f11d5rzn5WjZCt6eVWETl8S2c0wHtl3SjtgaM2UWJzbflyJinln0bPvnd2RfcBnjFfuQ8FcY37MfhMWT2GrC8fHYhNPAbsLuvv5KOY7LHAplExO5AskX1SuPY6bLf_m8-r75-G19U999_nS7Xt3VTho1170TTqgeTesdDBKVU76DxlPboNa9LmrbO5Jtx6EHb5CMgqGBVre9lFyr8-r2xB0i7u1DCgdMjzZisH-FmHYW0xzcSBYbIKOd8-B8Q2bQoBB77JCAlBmGwnp7Yj2k-HOhPNt9-a7y3GwVBwMSQEBxXZ9cOyzQMPk4J3QlBjoEFyfyoeirzoDSnRLHEa9ODS7FnBP5_2MKbo_LtM-XqZ4A6MGSfw</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Chou, Sin Chan</creator><creator>Sondermann, Marcely</creator><creator>Chagas, Diego José</creator><creator>Gomes, Jorge Luís</creator><creator>Souza, Celia Regina de Gouveia</creator><creator>Ruiz, Matheus Souza</creator><creator>Sampaio, Alexandra F. 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This work is part of the activity in devising an early warning system for São Paulo coastal storm surges. For the evaluation, four case studies that had a major impact on the coast of São Paulo in 2020 were selected. Because storm surges that reach the coast may cause coastal flooding, precipitation forecasts were also evaluated. The mesoscale Eta model produces forecasts with a 5 km resolution for up to an 84 h lead time. The model was set up in a region that covers part of southeast and south Brazil. The ERA5 reanalysis was used to describe the large-scale synoptic conditions and to evaluate the weather forecasts. The cases showed a region in common between 35° S, 40° S and 35° W, 45° W where the low-pressure center deepened rapidly on the day before the highest waves reached the coast of São Paulo, with a mostly eastward, rather than northeastward, displacement of the associated surface cyclone and minimal or no tilt with height. The winds on the coast were the strongest on the day before the surge reached the coast of São Paulo, and then the winds weakened on the day of the maximum wave height. The pattern of the mean sea-level pressure and 10 m wind in the 36 h, 60 h, and 84 h forecasts agreed with the ERA5 reanalysis, but the pressure was slightly underestimated. In contrast, the winds along the coast were slightly overestimated. The 24 h accumulated precipitation pattern was also captured by the forecast, but was overestimated, especially at high precipitation rates. 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subjects | Analysis Anticyclones Beaches Brazil Case studies coastal disasters Coasts Cyclones Damage early warning Early warning systems Emergency communications systems Employee motivation Eta model Flood damage Floods forecast evaluation high coastal waves High resolution Lead time Low pressure Precipitation Precipitation (Meteorology) Rain Sea level Sea level pressure Soil erosion Storm surges Storms Tidal waves Wave height Weather Weather forecasting weather forecasts Winds |
title | Four Storm Surge Cases on the Coast of São Paulo, Brazil: Weather Analyses and High-Resolution Forecasts |
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