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The impact of SST on the wind and air temperature simulations: a case study for the coastal region of the Rio de Janeiro state
The impact of Sea Surface Temperature (SST) on the wind and air temperature numerical simulations over the coastal region of the state of Rio de Janeiro, Brazil, was investigated using the Weather Research and Forecasting (WRF) model. The study period comprised January 24–26, 2014, characterized by...
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Published in: | Meteorology and atmospheric physics 2019-08, Vol.131 (4), p.1083-1097 |
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description | The impact of Sea Surface Temperature (SST) on the wind and air temperature numerical simulations over the coastal region of the state of Rio de Janeiro, Brazil, was investigated using the Weather Research and Forecasting (WRF) model. The study period comprised January 24–26, 2014, characterized by the occurrence of coastal upwelling. Two numerical experiments were performed. The first, called EGFS, used the Global Forecast System (GFS) results to prescribe the initial and boundary conditions. In the second, called EMUR, the SST was replaced by the Multi-scale Ultra-high-Resolution SST (MUR SST). The experiments showed significant differences between the SST fields, being higher than 10 °C. Through the comparison with observations, we verified that the upwelling was better represented in the EMUR, which consequently generated improvements in the temperature at 2 m above ground level (AGL) over this region. In the offshore region, over areas with higher SST, the wind speed at 10 m AGL was stronger, and opposite behavior was observed over low SST areas. In addition, in regions with higher SST differences between the experiments, differences of wind direction at 10 m AGL higher than 90° were detected. The SST influence on the air temperature and wind speed profiles was significant up to 300 and 900 m, respectively. The comparisons between the wind observations with the numerical results show that the land–sea breeze simulation (thermal forced) was underestimated in relation to the synoptic forcing (South Atlantic Subtropical Anticyclone), even with significant SST differences between experiments. |
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The study period comprised January 24–26, 2014, characterized by the occurrence of coastal upwelling. Two numerical experiments were performed. The first, called EGFS, used the Global Forecast System (GFS) results to prescribe the initial and boundary conditions. In the second, called EMUR, the SST was replaced by the Multi-scale Ultra-high-Resolution SST (MUR SST). The experiments showed significant differences between the SST fields, being higher than 10 °C. Through the comparison with observations, we verified that the upwelling was better represented in the EMUR, which consequently generated improvements in the temperature at 2 m above ground level (AGL) over this region. In the offshore region, over areas with higher SST, the wind speed at 10 m AGL was stronger, and opposite behavior was observed over low SST areas. In addition, in regions with higher SST differences between the experiments, differences of wind direction at 10 m AGL higher than 90° were detected. The SST influence on the air temperature and wind speed profiles was significant up to 300 and 900 m, respectively. The comparisons between the wind observations with the numerical results show that the land–sea breeze simulation (thermal forced) was underestimated in relation to the synoptic forcing (South Atlantic Subtropical Anticyclone), even with significant SST differences between experiments.</description><identifier>ISSN: 0177-7971</identifier><identifier>EISSN: 1436-5065</identifier><identifier>DOI: 10.1007/s00703-018-0622-5</identifier><language>eng</language><publisher>Vienna: Springer Vienna</publisher><subject>Air temperature ; Anticyclones ; Aquatic Pollution ; Atmospheric Sciences ; Boundary conditions ; Case studies ; Coastal upwelling ; Coastal zone ; Computer simulation ; Earth and Environmental Science ; Earth Sciences ; Experiments ; Ground level ; Land-sea breezes ; Math. Appl. in Environmental Science ; Mathematical models ; Meteorology ; Numerical experiments ; Numerical simulations ; Ocean circulation ; Offshore ; Original Paper ; Sea breezes ; Sea surface ; Sea surface temperature ; Subtropical anticyclones ; Surface temperature ; Temperature (air-sea) ; Temperature effects ; Terrestrial Pollution ; Upwelling ; Waste Water Technology ; Water Management ; Water Pollution Control ; Weather forecasting ; Wind ; Wind direction ; Wind observation ; Wind profiles ; Wind speed ; Wind speed profiles</subject><ispartof>Meteorology and atmospheric physics, 2019-08, Vol.131 (4), p.1083-1097</ispartof><rights>Springer-Verlag GmbH Austria, part of Springer Nature 2018</rights><rights>Meteorology and Atmospheric Physics is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-92929ee41ba32fa4e6aa16e3671d4f6c72872868b694d30a6ba2fb40449638e33</citedby><cites>FETCH-LOGICAL-c316t-92929ee41ba32fa4e6aa16e3671d4f6c72872868b694d30a6ba2fb40449638e33</cites><orcidid>0000-0001-9769-0105 ; 0000-0003-2891-1036 ; 0000-0001-7857-9946 ; 0000-0003-1790-5765 ; 0000-0002-1163-993X ; 0000-0002-4721-305X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Dragaud, Ian Cunha D`Amato Viana</creatorcontrib><creatorcontrib>Soares da Silva, Mauricio</creatorcontrib><creatorcontrib>Assad, Luiz Paulo de Freitas</creatorcontrib><creatorcontrib>Cataldi, Márcio</creatorcontrib><creatorcontrib>Landau, Luiz</creatorcontrib><creatorcontrib>Elias, Renato Nascimento</creatorcontrib><creatorcontrib>Pimentel, Luiz Claudio Gomes</creatorcontrib><title>The impact of SST on the wind and air temperature simulations: a case study for the coastal region of the Rio de Janeiro state</title><title>Meteorology and atmospheric physics</title><addtitle>Meteorol Atmos Phys</addtitle><description>The impact of Sea Surface Temperature (SST) on the wind and air temperature numerical simulations over the coastal region of the state of Rio de Janeiro, Brazil, was investigated using the Weather Research and Forecasting (WRF) model. The study period comprised January 24–26, 2014, characterized by the occurrence of coastal upwelling. Two numerical experiments were performed. The first, called EGFS, used the Global Forecast System (GFS) results to prescribe the initial and boundary conditions. In the second, called EMUR, the SST was replaced by the Multi-scale Ultra-high-Resolution SST (MUR SST). The experiments showed significant differences between the SST fields, being higher than 10 °C. Through the comparison with observations, we verified that the upwelling was better represented in the EMUR, which consequently generated improvements in the temperature at 2 m above ground level (AGL) over this region. In the offshore region, over areas with higher SST, the wind speed at 10 m AGL was stronger, and opposite behavior was observed over low SST areas. In addition, in regions with higher SST differences between the experiments, differences of wind direction at 10 m AGL higher than 90° were detected. The SST influence on the air temperature and wind speed profiles was significant up to 300 and 900 m, respectively. The comparisons between the wind observations with the numerical results show that the land–sea breeze simulation (thermal forced) was underestimated in relation to the synoptic forcing (South Atlantic Subtropical Anticyclone), even with significant SST differences between experiments.</description><subject>Air temperature</subject><subject>Anticyclones</subject><subject>Aquatic Pollution</subject><subject>Atmospheric Sciences</subject><subject>Boundary conditions</subject><subject>Case studies</subject><subject>Coastal upwelling</subject><subject>Coastal zone</subject><subject>Computer simulation</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Experiments</subject><subject>Ground level</subject><subject>Land-sea breezes</subject><subject>Math. Appl. in Environmental Science</subject><subject>Mathematical models</subject><subject>Meteorology</subject><subject>Numerical experiments</subject><subject>Numerical simulations</subject><subject>Ocean circulation</subject><subject>Offshore</subject><subject>Original Paper</subject><subject>Sea breezes</subject><subject>Sea surface</subject><subject>Sea surface temperature</subject><subject>Subtropical anticyclones</subject><subject>Surface temperature</subject><subject>Temperature (air-sea)</subject><subject>Temperature effects</subject><subject>Terrestrial Pollution</subject><subject>Upwelling</subject><subject>Waste Water Technology</subject><subject>Water Management</subject><subject>Water Pollution Control</subject><subject>Weather forecasting</subject><subject>Wind</subject><subject>Wind direction</subject><subject>Wind observation</subject><subject>Wind profiles</subject><subject>Wind speed</subject><subject>Wind speed profiles</subject><issn>0177-7971</issn><issn>1436-5065</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kEtLxDAUhYMoOI7-AHcB19U82qR1J4NPBMEZ1-G2vR07TJuapMhs_O2mjuBKktyQw_lO4BByztklZ0xf-TiYTBjPE6aESLIDMuOpVEnGVHZIZoxrnehC82Ny4v2GxbcSfEa-Vu9I226AKlDb0OVyRW1PQxQ_276mMJ3W0YDdgA7C6JD6thu3EFrb-2sKtAIftTDWO9pY94NWFnyALXW4jq4pd1JfW0trpE_QY-tsRCDgKTlqYOvx7Peek7e729XiIXl-uX9c3DwnleQqJIWICzHlJUjRQIoKgCuUSvM6bVSlRR63yktVpLVkoEoQTZmyNC2UzFHKObnY5w7Ofozog9nY0fXxSyOY0hkTQufRxfeuylnvHTZmcG0Hbmc4M1PNZl-ziTWbqWaTRUbsGR-9_RrdX_L_0DccKn8q</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Dragaud, Ian Cunha D`Amato Viana</creator><creator>Soares da Silva, Mauricio</creator><creator>Assad, Luiz Paulo de Freitas</creator><creator>Cataldi, Márcio</creator><creator>Landau, Luiz</creator><creator>Elias, Renato Nascimento</creator><creator>Pimentel, Luiz Claudio Gomes</creator><general>Springer Vienna</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7U5</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L7M</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-9769-0105</orcidid><orcidid>https://orcid.org/0000-0003-2891-1036</orcidid><orcidid>https://orcid.org/0000-0001-7857-9946</orcidid><orcidid>https://orcid.org/0000-0003-1790-5765</orcidid><orcidid>https://orcid.org/0000-0002-1163-993X</orcidid><orcidid>https://orcid.org/0000-0002-4721-305X</orcidid></search><sort><creationdate>20190801</creationdate><title>The impact of SST on the wind and air temperature simulations: a case study for the coastal region of the Rio de Janeiro state</title><author>Dragaud, Ian Cunha D`Amato Viana ; Soares da Silva, Mauricio ; Assad, Luiz Paulo de Freitas ; Cataldi, Márcio ; Landau, Luiz ; Elias, Renato Nascimento ; Pimentel, Luiz Claudio Gomes</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-92929ee41ba32fa4e6aa16e3671d4f6c72872868b694d30a6ba2fb40449638e33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Air temperature</topic><topic>Anticyclones</topic><topic>Aquatic Pollution</topic><topic>Atmospheric Sciences</topic><topic>Boundary conditions</topic><topic>Case studies</topic><topic>Coastal upwelling</topic><topic>Coastal zone</topic><topic>Computer simulation</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Experiments</topic><topic>Ground level</topic><topic>Land-sea breezes</topic><topic>Math. 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The study period comprised January 24–26, 2014, characterized by the occurrence of coastal upwelling. Two numerical experiments were performed. The first, called EGFS, used the Global Forecast System (GFS) results to prescribe the initial and boundary conditions. In the second, called EMUR, the SST was replaced by the Multi-scale Ultra-high-Resolution SST (MUR SST). The experiments showed significant differences between the SST fields, being higher than 10 °C. Through the comparison with observations, we verified that the upwelling was better represented in the EMUR, which consequently generated improvements in the temperature at 2 m above ground level (AGL) over this region. In the offshore region, over areas with higher SST, the wind speed at 10 m AGL was stronger, and opposite behavior was observed over low SST areas. In addition, in regions with higher SST differences between the experiments, differences of wind direction at 10 m AGL higher than 90° were detected. The SST influence on the air temperature and wind speed profiles was significant up to 300 and 900 m, respectively. The comparisons between the wind observations with the numerical results show that the land–sea breeze simulation (thermal forced) was underestimated in relation to the synoptic forcing (South Atlantic Subtropical Anticyclone), even with significant SST differences between experiments.</abstract><cop>Vienna</cop><pub>Springer Vienna</pub><doi>10.1007/s00703-018-0622-5</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-9769-0105</orcidid><orcidid>https://orcid.org/0000-0003-2891-1036</orcidid><orcidid>https://orcid.org/0000-0001-7857-9946</orcidid><orcidid>https://orcid.org/0000-0003-1790-5765</orcidid><orcidid>https://orcid.org/0000-0002-1163-993X</orcidid><orcidid>https://orcid.org/0000-0002-4721-305X</orcidid></addata></record> |
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subjects | Air temperature Anticyclones Aquatic Pollution Atmospheric Sciences Boundary conditions Case studies Coastal upwelling Coastal zone Computer simulation Earth and Environmental Science Earth Sciences Experiments Ground level Land-sea breezes Math. Appl. in Environmental Science Mathematical models Meteorology Numerical experiments Numerical simulations Ocean circulation Offshore Original Paper Sea breezes Sea surface Sea surface temperature Subtropical anticyclones Surface temperature Temperature (air-sea) Temperature effects Terrestrial Pollution Upwelling Waste Water Technology Water Management Water Pollution Control Weather forecasting Wind Wind direction Wind observation Wind profiles Wind speed Wind speed profiles |
title | The impact of SST on the wind and air temperature simulations: a case study for the coastal region of the Rio de Janeiro state |
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