High-resolution WRF simulations of a monsoon event (2019) over the Badulu Oya Catchment, Sri Lanka: Role of cumulus parameterization condition and microphysics schemes
Numerical weather modelling has piqued the attention of the hydrological community because precise predictions from the models might lessen the extreme hydrological repercussions. Despite the paucity of existing studies, significant tropical storms frequently affect the Asian island of Sri Lanka. Th...
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| Veröffentlicht in: | Journal of Earth System Science 2023-10, Vol.132 (4), p.166, Article 166 |
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| description | Numerical weather modelling has piqued the attention of the hydrological community because precise predictions from the models might lessen the extreme hydrological repercussions. Despite the paucity of existing studies, significant tropical storms frequently affect the Asian island of Sri Lanka. This research investigates the Weather Research Forecast (WRF-ARW) model's cumulus parameterization condition and physical parameterization schemes for a 2019 northeast monsoon event over the Badulu Oya Basin, Sri Lanka. Three cumulus schemes (Kain–Fritsch (KF), Betts–Miller–Janjic (BMJ) and Multi-scale Kain–Fritsch (MKF)) and four microphysics schemes (WRF single-moment 5-class (WSM5), WRF single-moment 6-class (WSM6), Kessler (KSL) and WRF double moment 6-class (WDM6)) were evaluated for their impact on modelled rainfall. The model performances were assessed using 24-hr accumulated model rainfall and observed rainfall with various model configurations at a horizontal grid resolution of 3 km using categorical and two quantitative comparison techniques. The study concluded that the activated KF scheme with a finer domain resolution (3 km) would be preferred for cumulus parameterization in the study region. The KF-WSM5 combination was the best since it produced the highest statistics: ETS is 0.38, B is 0.95,
r
is 0.76, NSD is 1.06, NRMSE is 0.72, and CCPA is 75%.
Research highlights
We simulated an extreme northeast monsoon precipitation event over the Badulu Oya catchment, Sri Lanka.
Simulations were performed using the Weather Research and Forecasting model (WRF-ARW).
Sensitivity studied to cumulus parameterization condition and microphysics schemes (CPSs- KF, BMJ, MKF and MPSs-WSM5, WSM6, KSL and WDM6).
The activated Kain–Fritsch cumulus scheme at 3 km resolution was found to be the most accurate.
Combination of KF-WSM5 with activated cumulus scheme in the finer domain could be preferable option for heavy rainfall simulations over the study area. |
| doi_str_mv | 10.1007/s12040-023-02186-y |
| format | Article |
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r
is 0.76, NSD is 1.06, NRMSE is 0.72, and CCPA is 75%.
Research highlights
We simulated an extreme northeast monsoon precipitation event over the Badulu Oya catchment, Sri Lanka.
Simulations were performed using the Weather Research and Forecasting model (WRF-ARW).
Sensitivity studied to cumulus parameterization condition and microphysics schemes (CPSs- KF, BMJ, MKF and MPSs-WSM5, WSM6, KSL and WDM6).
The activated Kain–Fritsch cumulus scheme at 3 km resolution was found to be the most accurate.
Combination of KF-WSM5 with activated cumulus scheme in the finer domain could be preferable option for heavy rainfall simulations over the study area.</description><identifier>ISSN: 0973-774X</identifier><identifier>ISSN: 0253-4126</identifier><identifier>EISSN: 0973-774X</identifier><identifier>DOI: 10.1007/s12040-023-02186-y</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>Catchment area ; Cloud parameterization ; Clouds ; Design of experiments ; Earth and Environmental Science ; Earth Sciences ; Extreme weather ; Forecasting models ; Heavy rainfall ; Mathematical models ; Microphysics ; Monsoon precipitation ; Monsoons ; Parameter sensitivity ; Parameterization ; Physics ; Precipitation ; Radiation ; Rain ; Rainfall ; Rainfall simulators ; Simulation ; Space Exploration and Astronautics ; Space Sciences (including Extraterrestrial Physics ; Storms ; Tropical depressions ; Tropical storms ; Weather ; Weather forecasting ; Wind</subject><ispartof>Journal of Earth System Science, 2023-10, Vol.132 (4), p.166, Article 166</ispartof><rights>Indian Academy of Sciences 2023</rights><rights>Indian Academy of Sciences 2023.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c270t-a876d6ad82b863922afb830646d109acb482038e7bfc60f99fb33a156002d0cd3</cites><orcidid>0000-0002-8207-4622</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12040-023-02186-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12040-023-02186-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Gimhan, P G S</creatorcontrib><creatorcontrib>Neluwala, Panduka</creatorcontrib><creatorcontrib>Acierto, Ralph Allen</creatorcontrib><title>High-resolution WRF simulations of a monsoon event (2019) over the Badulu Oya Catchment, Sri Lanka: Role of cumulus parameterization condition and microphysics schemes</title><title>Journal of Earth System Science</title><addtitle>J Earth Syst Sci</addtitle><description>Numerical weather modelling has piqued the attention of the hydrological community because precise predictions from the models might lessen the extreme hydrological repercussions. Despite the paucity of existing studies, significant tropical storms frequently affect the Asian island of Sri Lanka. This research investigates the Weather Research Forecast (WRF-ARW) model's cumulus parameterization condition and physical parameterization schemes for a 2019 northeast monsoon event over the Badulu Oya Basin, Sri Lanka. Three cumulus schemes (Kain–Fritsch (KF), Betts–Miller–Janjic (BMJ) and Multi-scale Kain–Fritsch (MKF)) and four microphysics schemes (WRF single-moment 5-class (WSM5), WRF single-moment 6-class (WSM6), Kessler (KSL) and WRF double moment 6-class (WDM6)) were evaluated for their impact on modelled rainfall. The model performances were assessed using 24-hr accumulated model rainfall and observed rainfall with various model configurations at a horizontal grid resolution of 3 km using categorical and two quantitative comparison techniques. The study concluded that the activated KF scheme with a finer domain resolution (3 km) would be preferred for cumulus parameterization in the study region. The KF-WSM5 combination was the best since it produced the highest statistics: ETS is 0.38, B is 0.95,
r
is 0.76, NSD is 1.06, NRMSE is 0.72, and CCPA is 75%.
Research highlights
We simulated an extreme northeast monsoon precipitation event over the Badulu Oya catchment, Sri Lanka.
Simulations were performed using the Weather Research and Forecasting model (WRF-ARW).
Sensitivity studied to cumulus parameterization condition and microphysics schemes (CPSs- KF, BMJ, MKF and MPSs-WSM5, WSM6, KSL and WDM6).
The activated Kain–Fritsch cumulus scheme at 3 km resolution was found to be the most accurate.
Combination of KF-WSM5 with activated cumulus scheme in the finer domain could be preferable option for heavy rainfall simulations over the study area.</description><subject>Catchment area</subject><subject>Cloud parameterization</subject><subject>Clouds</subject><subject>Design of experiments</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Extreme weather</subject><subject>Forecasting models</subject><subject>Heavy rainfall</subject><subject>Mathematical models</subject><subject>Microphysics</subject><subject>Monsoon precipitation</subject><subject>Monsoons</subject><subject>Parameter sensitivity</subject><subject>Parameterization</subject><subject>Physics</subject><subject>Precipitation</subject><subject>Radiation</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall simulators</subject><subject>Simulation</subject><subject>Space Exploration and Astronautics</subject><subject>Space Sciences (including Extraterrestrial Physics</subject><subject>Storms</subject><subject>Tropical depressions</subject><subject>Tropical storms</subject><subject>Weather</subject><subject>Weather forecasting</subject><subject>Wind</subject><issn>0973-774X</issn><issn>0253-4126</issn><issn>0973-774X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9UcFq3DAQNaGFpGl_IKeBXFKIk5G0ka3c2iVpAguBpKW9ibEsx0ptayvZAfeH8pvV7hbSUw_DvGHeezPwsuyI4RlDLM4j47jAHLlIxUqZz3vZAapC5EWx-PHmH7yfvYvxCVHIslAH2cuNe2zzYKPvptH5Ab7fX0N0_dTRZozgGyDoE_JpaZ_tMMIJR6Y-gn-2AcbWwmeqp26Cu5lgSaNp-0Q6hYfgYEXDT7qEe9_ZjZGZku8UYU2Bejva4H5vr4DxQ-22iIYaemeCX7dzdCZCNK3tbXyfvW2oi_bD336Yfbu--rq8yVd3X26Xn1a54QWOOZWFrCXVJa9KKRTn1FSlQLmQNUNFplqUHEVpi6oxEhulmkoIYhcSkddoanGYHe9818H_mmwc9ZOfwpBOaq6YUnghBEssvmOlR2MMttHr4HoKs2aoN4HoXSA6BaK3geg5icROFBN5eLTh1fo_qj9hJ5DM</recordid><startdate>20231007</startdate><enddate>20231007</enddate><creator>Gimhan, P G S</creator><creator>Neluwala, Panduka</creator><creator>Acierto, Ralph Allen</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</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/0000-0002-8207-4622</orcidid></search><sort><creationdate>20231007</creationdate><title>High-resolution WRF simulations of a monsoon event (2019) over the Badulu Oya Catchment, Sri Lanka: Role of cumulus parameterization condition and microphysics schemes</title><author>Gimhan, P G S ; Neluwala, Panduka ; Acierto, Ralph Allen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c270t-a876d6ad82b863922afb830646d109acb482038e7bfc60f99fb33a156002d0cd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Catchment area</topic><topic>Cloud parameterization</topic><topic>Clouds</topic><topic>Design of experiments</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Extreme weather</topic><topic>Forecasting models</topic><topic>Heavy rainfall</topic><topic>Mathematical models</topic><topic>Microphysics</topic><topic>Monsoon precipitation</topic><topic>Monsoons</topic><topic>Parameter sensitivity</topic><topic>Parameterization</topic><topic>Physics</topic><topic>Precipitation</topic><topic>Radiation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Rainfall simulators</topic><topic>Simulation</topic><topic>Space Exploration and Astronautics</topic><topic>Space Sciences (including Extraterrestrial Physics</topic><topic>Storms</topic><topic>Tropical depressions</topic><topic>Tropical storms</topic><topic>Weather</topic><topic>Weather forecasting</topic><topic>Wind</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gimhan, P G S</creatorcontrib><creatorcontrib>Neluwala, Panduka</creatorcontrib><creatorcontrib>Acierto, Ralph Allen</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of Earth System Science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gimhan, P G S</au><au>Neluwala, Panduka</au><au>Acierto, Ralph Allen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-resolution WRF simulations of a monsoon event (2019) over the Badulu Oya Catchment, Sri Lanka: Role of cumulus parameterization condition and microphysics schemes</atitle><jtitle>Journal of Earth System Science</jtitle><stitle>J Earth Syst Sci</stitle><date>2023-10-07</date><risdate>2023</risdate><volume>132</volume><issue>4</issue><spage>166</spage><pages>166-</pages><artnum>166</artnum><issn>0973-774X</issn><issn>0253-4126</issn><eissn>0973-774X</eissn><abstract>Numerical weather modelling has piqued the attention of the hydrological community because precise predictions from the models might lessen the extreme hydrological repercussions. Despite the paucity of existing studies, significant tropical storms frequently affect the Asian island of Sri Lanka. This research investigates the Weather Research Forecast (WRF-ARW) model's cumulus parameterization condition and physical parameterization schemes for a 2019 northeast monsoon event over the Badulu Oya Basin, Sri Lanka. Three cumulus schemes (Kain–Fritsch (KF), Betts–Miller–Janjic (BMJ) and Multi-scale Kain–Fritsch (MKF)) and four microphysics schemes (WRF single-moment 5-class (WSM5), WRF single-moment 6-class (WSM6), Kessler (KSL) and WRF double moment 6-class (WDM6)) were evaluated for their impact on modelled rainfall. The model performances were assessed using 24-hr accumulated model rainfall and observed rainfall with various model configurations at a horizontal grid resolution of 3 km using categorical and two quantitative comparison techniques. The study concluded that the activated KF scheme with a finer domain resolution (3 km) would be preferred for cumulus parameterization in the study region. The KF-WSM5 combination was the best since it produced the highest statistics: ETS is 0.38, B is 0.95,
r
is 0.76, NSD is 1.06, NRMSE is 0.72, and CCPA is 75%.
Research highlights
We simulated an extreme northeast monsoon precipitation event over the Badulu Oya catchment, Sri Lanka.
Simulations were performed using the Weather Research and Forecasting model (WRF-ARW).
Sensitivity studied to cumulus parameterization condition and microphysics schemes (CPSs- KF, BMJ, MKF and MPSs-WSM5, WSM6, KSL and WDM6).
The activated Kain–Fritsch cumulus scheme at 3 km resolution was found to be the most accurate.
Combination of KF-WSM5 with activated cumulus scheme in the finer domain could be preferable option for heavy rainfall simulations over the study area.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s12040-023-02186-y</doi><orcidid>https://orcid.org/0000-0002-8207-4622</orcidid></addata></record> |
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| source | Indian Academy of Sciences; Springer Nature - Complete Springer Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Catchment area Cloud parameterization Clouds Design of experiments Earth and Environmental Science Earth Sciences Extreme weather Forecasting models Heavy rainfall Mathematical models Microphysics Monsoon precipitation Monsoons Parameter sensitivity Parameterization Physics Precipitation Radiation Rain Rainfall Rainfall simulators Simulation Space Exploration and Astronautics Space Sciences (including Extraterrestrial Physics Storms Tropical depressions Tropical storms Weather Weather forecasting Wind |
| title | High-resolution WRF simulations of a monsoon event (2019) over the Badulu Oya Catchment, Sri Lanka: Role of cumulus parameterization condition and microphysics schemes |
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