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Characteristics of Precipitation and Mesoscale Convective Systems Over the Peruvian Central Andes in Multi 5‐Year Convection‐Permitting Simulations
Using the Weather Research and Forecasting model with two planetary boundary layer schemes, ACM2 and MYNN, convection‐permitting model (CPM) regional climate simulations were conducted for a 6‐year period, including a one‐year spin‐up period, at a 15‐km grid spacing covering entire South America and...
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Published in: | Journal of geophysical research. Atmospheres 2024-09, Vol.129 (17), p.n/a |
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creator | Huang, Yongjie Xue, Ming Hu, Xiao‐Ming Martin, Elinor Novoa, Hector Mayol McPherson, Renee A. Liu, Changhai Ikeda, Kyoko Rasmussen, Roy Prein, Andreas F. Perez, Andres Vitaliano Morales, Isaac Yanqui Ticona Jara, José Luis Flores Luna, Auria Julieta |
description | Using the Weather Research and Forecasting model with two planetary boundary layer schemes, ACM2 and MYNN, convection‐permitting model (CPM) regional climate simulations were conducted for a 6‐year period, including a one‐year spin‐up period, at a 15‐km grid spacing covering entire South America and a nested convection‐permitting 3‐km grid spacing covering the Peruvian central Andes region. These two CPM simulations along with a 4‐km simulation covering South America produced by National Center for Atmospheric Research (NCAR), three gridded precipitation products, and rain gauge data in Peru and Brazil, are used to document the characteristics of precipitation and mesoscale convective systems (MCSs) in the Peruvian central Andes region. Results show that all km‐scale simulations generally capture the spatiotemporal patterns of precipitation and MCSs at both seasonal and diurnal scales, although biases exist in aspects such as precipitation intensity and MCS frequency, size, propagation speed, and associated precipitation intensity. The 3‐km simulation using MYNN scheme generally outperforms the other simulations in capturing seasonal and diurnal precipitation over the mountain, while both it and the 4‐km simulation demonstrate superior performance in the western Amazon Basin, based on the comparison to the gridded precipitation products and gauge data. Dynamic factors, primarily low‐level jet and terrain‐induced uplift, are the key drivers for precipitation and MCS genesis along the east slope of the Andes, while thermodynamic factors control the precipitation and MCS activity in the western Amazon Basin and over elevated mountainous regions. The study suggests model improvements and better model configurations for future regional climate projections.
Plain Language Summary
We ran high‐resolution model simulations at a 3‐km grid spacing with ACM2 and MYNN planetary boundary layer schemes for a 6‐year period, including a 1‐year spin‐up, to investigate precipitation and storm patterns in the Peruvian central Andes region. Other data sets including a 4‐km simulation produced by National Center for Atmospheric Research, three gridded precipitation products, and rain gauge data in Peru and Brazil were collected for comparison and evaluation. We found that all km‐scale simulations capture overall patterns of precipitation and storms at both seasonal and sub‐daily time scales, although some discrepancies exist in precipitation intensity and storm details. Compare |
doi_str_mv | 10.1029/2023JD040394 |
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Plain Language Summary
We ran high‐resolution model simulations at a 3‐km grid spacing with ACM2 and MYNN planetary boundary layer schemes for a 6‐year period, including a 1‐year spin‐up, to investigate precipitation and storm patterns in the Peruvian central Andes region. Other data sets including a 4‐km simulation produced by National Center for Atmospheric Research, three gridded precipitation products, and rain gauge data in Peru and Brazil were collected for comparison and evaluation. We found that all km‐scale simulations capture overall patterns of precipitation and storms at both seasonal and sub‐daily time scales, although some discrepancies exist in precipitation intensity and storm details. Compared to the gridded precipitation products and gauge data, the 3‐km simulation using MYNN scheme generally outperforms the other simulations in capturing seasonal and diurnal precipitation over the mountain, while both it and the 4‐km simulation demonstrate superior performance in the western Amazon Basin. Low‐level wind and terrain‐induced uplift are the key drivers for precipitation and storm genesis along the Andes' eastern slopes, while factors associated with vertical structures of temperature and humidity control the precipitation and storm activity in the western Amazon Basin and mountain regions. The study suggests model improvements and better model configurations for future regional climate projections.
Key Points
Characteristics of precipitation and mesoscale convective systems (MCSs) in the Peruvian Central Andes are investigated based on convection‐permitting simulations
WRF3km_MYNN outperforms in simulating mountain precipitation; both it and WRF4km_SAAG show superior performance in western Amazon
Dynamic factors dominate precipitation and MCSs on the Andean east slope, while thermodynamic factors are dominant in western Amazon Basin</description><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2023JD040394</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Atmospheric research ; Boundary layers ; Climate ; Climate models ; Configurations ; Convection ; Diurnal ; Forecasting models ; Gauges ; Humidity control ; Mesoscale convective systems ; Mesoscale phenomena ; Moisture control ; Mountain regions ; Mountainous areas ; Mountains ; Planetary boundary layer ; Precipitation ; Rain ; Rain gauges ; Rainfall intensity ; Regional climate models ; Regional climates ; River basins ; Simulation ; Storms ; Terrain ; Uplift ; Weather forecasting</subject><ispartof>Journal of geophysical research. Atmospheres, 2024-09, Vol.129 (17), p.n/a</ispartof><rights>2024. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2322-e887c0b1666aa59aec06b82e9b7bcfccd816d2280e722d461fac349ccde48ece3</cites><orcidid>0000-0002-1497-9681 ; 0000-0002-3952-8019 ; 0000-0001-7883-8768 ; 0009-0009-2064-5555 ; 0000-0003-1480-3843 ; 0000-0002-1333-8903 ; 0000-0002-4527-5353 ; 0009-0001-6280-4595 ; 0000-0002-3404-4349 ; 0000-0001-6250-179X ; 0000-0003-1976-3238</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Huang, Yongjie</creatorcontrib><creatorcontrib>Xue, Ming</creatorcontrib><creatorcontrib>Hu, Xiao‐Ming</creatorcontrib><creatorcontrib>Martin, Elinor</creatorcontrib><creatorcontrib>Novoa, Hector Mayol</creatorcontrib><creatorcontrib>McPherson, Renee A.</creatorcontrib><creatorcontrib>Liu, Changhai</creatorcontrib><creatorcontrib>Ikeda, Kyoko</creatorcontrib><creatorcontrib>Rasmussen, Roy</creatorcontrib><creatorcontrib>Prein, Andreas F.</creatorcontrib><creatorcontrib>Perez, Andres Vitaliano</creatorcontrib><creatorcontrib>Morales, Isaac Yanqui</creatorcontrib><creatorcontrib>Ticona Jara, José Luis</creatorcontrib><creatorcontrib>Flores Luna, Auria Julieta</creatorcontrib><title>Characteristics of Precipitation and Mesoscale Convective Systems Over the Peruvian Central Andes in Multi 5‐Year Convection‐Permitting Simulations</title><title>Journal of geophysical research. Atmospheres</title><description>Using the Weather Research and Forecasting model with two planetary boundary layer schemes, ACM2 and MYNN, convection‐permitting model (CPM) regional climate simulations were conducted for a 6‐year period, including a one‐year spin‐up period, at a 15‐km grid spacing covering entire South America and a nested convection‐permitting 3‐km grid spacing covering the Peruvian central Andes region. These two CPM simulations along with a 4‐km simulation covering South America produced by National Center for Atmospheric Research (NCAR), three gridded precipitation products, and rain gauge data in Peru and Brazil, are used to document the characteristics of precipitation and mesoscale convective systems (MCSs) in the Peruvian central Andes region. Results show that all km‐scale simulations generally capture the spatiotemporal patterns of precipitation and MCSs at both seasonal and diurnal scales, although biases exist in aspects such as precipitation intensity and MCS frequency, size, propagation speed, and associated precipitation intensity. The 3‐km simulation using MYNN scheme generally outperforms the other simulations in capturing seasonal and diurnal precipitation over the mountain, while both it and the 4‐km simulation demonstrate superior performance in the western Amazon Basin, based on the comparison to the gridded precipitation products and gauge data. Dynamic factors, primarily low‐level jet and terrain‐induced uplift, are the key drivers for precipitation and MCS genesis along the east slope of the Andes, while thermodynamic factors control the precipitation and MCS activity in the western Amazon Basin and over elevated mountainous regions. The study suggests model improvements and better model configurations for future regional climate projections.
Plain Language Summary
We ran high‐resolution model simulations at a 3‐km grid spacing with ACM2 and MYNN planetary boundary layer schemes for a 6‐year period, including a 1‐year spin‐up, to investigate precipitation and storm patterns in the Peruvian central Andes region. Other data sets including a 4‐km simulation produced by National Center for Atmospheric Research, three gridded precipitation products, and rain gauge data in Peru and Brazil were collected for comparison and evaluation. We found that all km‐scale simulations capture overall patterns of precipitation and storms at both seasonal and sub‐daily time scales, although some discrepancies exist in precipitation intensity and storm details. Compared to the gridded precipitation products and gauge data, the 3‐km simulation using MYNN scheme generally outperforms the other simulations in capturing seasonal and diurnal precipitation over the mountain, while both it and the 4‐km simulation demonstrate superior performance in the western Amazon Basin. Low‐level wind and terrain‐induced uplift are the key drivers for precipitation and storm genesis along the Andes' eastern slopes, while factors associated with vertical structures of temperature and humidity control the precipitation and storm activity in the western Amazon Basin and mountain regions. The study suggests model improvements and better model configurations for future regional climate projections.
Key Points
Characteristics of precipitation and mesoscale convective systems (MCSs) in the Peruvian Central Andes are investigated based on convection‐permitting simulations
WRF3km_MYNN outperforms in simulating mountain precipitation; both it and WRF4km_SAAG show superior performance in western Amazon
Dynamic factors dominate precipitation and MCSs on the Andean east slope, while thermodynamic factors are dominant in western Amazon Basin</description><subject>Atmospheric research</subject><subject>Boundary layers</subject><subject>Climate</subject><subject>Climate models</subject><subject>Configurations</subject><subject>Convection</subject><subject>Diurnal</subject><subject>Forecasting models</subject><subject>Gauges</subject><subject>Humidity control</subject><subject>Mesoscale convective systems</subject><subject>Mesoscale phenomena</subject><subject>Moisture control</subject><subject>Mountain regions</subject><subject>Mountainous areas</subject><subject>Mountains</subject><subject>Planetary boundary layer</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rain gauges</subject><subject>Rainfall intensity</subject><subject>Regional climate models</subject><subject>Regional climates</subject><subject>River basins</subject><subject>Simulation</subject><subject>Storms</subject><subject>Terrain</subject><subject>Uplift</subject><subject>Weather forecasting</subject><issn>2169-897X</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kE1OwzAQhS0EElXpjgNYYkvBsfPnZZVCoWrVioIEq8hxJtRV6hTbCeqOI7DjfpyEQFHFitnMaObNe9KH0KlHLjxC-SUllI2HxCeM-weoQ72Q92POw8P9HD0eo561K9JWTJgf-B30kSyFEdKBUdYpaXFV4LkBqTbKCacqjYXO8RRsZaUoASeVbkA61QBebK2DtcWzBgx2S8BzMHWjhMYJaGdEiQc6B4uVxtO6dAoHn2_vTyDM3qTS7ab9WivnlH7GC7Wuy59Ue4KOClFa6P32Lnq4vrpPbvqT2eg2GUz6kjJK-xDHkSSZF4ahEAEXIEmYxRR4FmWykDKPvTCnNCYQUZr7oVcIyXzeHsCPQQLrorOd78ZULzVYl66q2ug2MmUtVhYFUYuqi853Kmkqaw0U6caotTDb1CPpN_30L_1WznbyV1XC9l9tOh7dDQMeccq-ABbSi1Q</recordid><startdate>20240916</startdate><enddate>20240916</enddate><creator>Huang, Yongjie</creator><creator>Xue, Ming</creator><creator>Hu, Xiao‐Ming</creator><creator>Martin, Elinor</creator><creator>Novoa, Hector Mayol</creator><creator>McPherson, Renee A.</creator><creator>Liu, Changhai</creator><creator>Ikeda, Kyoko</creator><creator>Rasmussen, Roy</creator><creator>Prein, Andreas F.</creator><creator>Perez, Andres Vitaliano</creator><creator>Morales, Isaac Yanqui</creator><creator>Ticona Jara, José Luis</creator><creator>Flores Luna, Auria Julieta</creator><general>Blackwell Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-1497-9681</orcidid><orcidid>https://orcid.org/0000-0002-3952-8019</orcidid><orcidid>https://orcid.org/0000-0001-7883-8768</orcidid><orcidid>https://orcid.org/0009-0009-2064-5555</orcidid><orcidid>https://orcid.org/0000-0003-1480-3843</orcidid><orcidid>https://orcid.org/0000-0002-1333-8903</orcidid><orcidid>https://orcid.org/0000-0002-4527-5353</orcidid><orcidid>https://orcid.org/0009-0001-6280-4595</orcidid><orcidid>https://orcid.org/0000-0002-3404-4349</orcidid><orcidid>https://orcid.org/0000-0001-6250-179X</orcidid><orcidid>https://orcid.org/0000-0003-1976-3238</orcidid></search><sort><creationdate>20240916</creationdate><title>Characteristics of Precipitation and Mesoscale Convective Systems Over the Peruvian Central Andes in Multi 5‐Year Convection‐Permitting Simulations</title><author>Huang, Yongjie ; Xue, Ming ; Hu, Xiao‐Ming ; Martin, Elinor ; Novoa, Hector Mayol ; McPherson, Renee A. ; Liu, Changhai ; Ikeda, Kyoko ; Rasmussen, Roy ; Prein, Andreas F. ; Perez, Andres Vitaliano ; Morales, Isaac Yanqui ; Ticona Jara, José Luis ; Flores Luna, Auria Julieta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2322-e887c0b1666aa59aec06b82e9b7bcfccd816d2280e722d461fac349ccde48ece3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Atmospheric research</topic><topic>Boundary layers</topic><topic>Climate</topic><topic>Climate models</topic><topic>Configurations</topic><topic>Convection</topic><topic>Diurnal</topic><topic>Forecasting models</topic><topic>Gauges</topic><topic>Humidity control</topic><topic>Mesoscale convective systems</topic><topic>Mesoscale phenomena</topic><topic>Moisture control</topic><topic>Mountain regions</topic><topic>Mountainous areas</topic><topic>Mountains</topic><topic>Planetary boundary layer</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rain gauges</topic><topic>Rainfall intensity</topic><topic>Regional climate models</topic><topic>Regional climates</topic><topic>River basins</topic><topic>Simulation</topic><topic>Storms</topic><topic>Terrain</topic><topic>Uplift</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Yongjie</creatorcontrib><creatorcontrib>Xue, Ming</creatorcontrib><creatorcontrib>Hu, Xiao‐Ming</creatorcontrib><creatorcontrib>Martin, Elinor</creatorcontrib><creatorcontrib>Novoa, Hector Mayol</creatorcontrib><creatorcontrib>McPherson, Renee A.</creatorcontrib><creatorcontrib>Liu, Changhai</creatorcontrib><creatorcontrib>Ikeda, Kyoko</creatorcontrib><creatorcontrib>Rasmussen, Roy</creatorcontrib><creatorcontrib>Prein, Andreas F.</creatorcontrib><creatorcontrib>Perez, Andres Vitaliano</creatorcontrib><creatorcontrib>Morales, Isaac Yanqui</creatorcontrib><creatorcontrib>Ticona Jara, José Luis</creatorcontrib><creatorcontrib>Flores Luna, Auria Julieta</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of geophysical research. Atmospheres</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Yongjie</au><au>Xue, Ming</au><au>Hu, Xiao‐Ming</au><au>Martin, Elinor</au><au>Novoa, Hector Mayol</au><au>McPherson, Renee A.</au><au>Liu, Changhai</au><au>Ikeda, Kyoko</au><au>Rasmussen, Roy</au><au>Prein, Andreas F.</au><au>Perez, Andres Vitaliano</au><au>Morales, Isaac Yanqui</au><au>Ticona Jara, José Luis</au><au>Flores Luna, Auria Julieta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characteristics of Precipitation and Mesoscale Convective Systems Over the Peruvian Central Andes in Multi 5‐Year Convection‐Permitting Simulations</atitle><jtitle>Journal of geophysical research. Atmospheres</jtitle><date>2024-09-16</date><risdate>2024</risdate><volume>129</volume><issue>17</issue><epage>n/a</epage><issn>2169-897X</issn><eissn>2169-8996</eissn><abstract>Using the Weather Research and Forecasting model with two planetary boundary layer schemes, ACM2 and MYNN, convection‐permitting model (CPM) regional climate simulations were conducted for a 6‐year period, including a one‐year spin‐up period, at a 15‐km grid spacing covering entire South America and a nested convection‐permitting 3‐km grid spacing covering the Peruvian central Andes region. These two CPM simulations along with a 4‐km simulation covering South America produced by National Center for Atmospheric Research (NCAR), three gridded precipitation products, and rain gauge data in Peru and Brazil, are used to document the characteristics of precipitation and mesoscale convective systems (MCSs) in the Peruvian central Andes region. Results show that all km‐scale simulations generally capture the spatiotemporal patterns of precipitation and MCSs at both seasonal and diurnal scales, although biases exist in aspects such as precipitation intensity and MCS frequency, size, propagation speed, and associated precipitation intensity. The 3‐km simulation using MYNN scheme generally outperforms the other simulations in capturing seasonal and diurnal precipitation over the mountain, while both it and the 4‐km simulation demonstrate superior performance in the western Amazon Basin, based on the comparison to the gridded precipitation products and gauge data. Dynamic factors, primarily low‐level jet and terrain‐induced uplift, are the key drivers for precipitation and MCS genesis along the east slope of the Andes, while thermodynamic factors control the precipitation and MCS activity in the western Amazon Basin and over elevated mountainous regions. The study suggests model improvements and better model configurations for future regional climate projections.
Plain Language Summary
We ran high‐resolution model simulations at a 3‐km grid spacing with ACM2 and MYNN planetary boundary layer schemes for a 6‐year period, including a 1‐year spin‐up, to investigate precipitation and storm patterns in the Peruvian central Andes region. Other data sets including a 4‐km simulation produced by National Center for Atmospheric Research, three gridded precipitation products, and rain gauge data in Peru and Brazil were collected for comparison and evaluation. We found that all km‐scale simulations capture overall patterns of precipitation and storms at both seasonal and sub‐daily time scales, although some discrepancies exist in precipitation intensity and storm details. Compared to the gridded precipitation products and gauge data, the 3‐km simulation using MYNN scheme generally outperforms the other simulations in capturing seasonal and diurnal precipitation over the mountain, while both it and the 4‐km simulation demonstrate superior performance in the western Amazon Basin. Low‐level wind and terrain‐induced uplift are the key drivers for precipitation and storm genesis along the Andes' eastern slopes, while factors associated with vertical structures of temperature and humidity control the precipitation and storm activity in the western Amazon Basin and mountain regions. The study suggests model improvements and better model configurations for future regional climate projections.
Key Points
Characteristics of precipitation and mesoscale convective systems (MCSs) in the Peruvian Central Andes are investigated based on convection‐permitting simulations
WRF3km_MYNN outperforms in simulating mountain precipitation; both it and WRF4km_SAAG show superior performance in western Amazon
Dynamic factors dominate precipitation and MCSs on the Andean east slope, while thermodynamic factors are dominant in western Amazon Basin</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2023JD040394</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0002-1497-9681</orcidid><orcidid>https://orcid.org/0000-0002-3952-8019</orcidid><orcidid>https://orcid.org/0000-0001-7883-8768</orcidid><orcidid>https://orcid.org/0009-0009-2064-5555</orcidid><orcidid>https://orcid.org/0000-0003-1480-3843</orcidid><orcidid>https://orcid.org/0000-0002-1333-8903</orcidid><orcidid>https://orcid.org/0000-0002-4527-5353</orcidid><orcidid>https://orcid.org/0009-0001-6280-4595</orcidid><orcidid>https://orcid.org/0000-0002-3404-4349</orcidid><orcidid>https://orcid.org/0000-0001-6250-179X</orcidid><orcidid>https://orcid.org/0000-0003-1976-3238</orcidid><oa>free_for_read</oa></addata></record> |
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ispartof | Journal of geophysical research. Atmospheres, 2024-09, Vol.129 (17), p.n/a |
issn | 2169-897X 2169-8996 |
language | eng |
recordid | cdi_proquest_journals_3102375780 |
source | Wiley; Alma/SFX Local Collection |
subjects | Atmospheric research Boundary layers Climate Climate models Configurations Convection Diurnal Forecasting models Gauges Humidity control Mesoscale convective systems Mesoscale phenomena Moisture control Mountain regions Mountainous areas Mountains Planetary boundary layer Precipitation Rain Rain gauges Rainfall intensity Regional climate models Regional climates River basins Simulation Storms Terrain Uplift Weather forecasting |
title | Characteristics of Precipitation and Mesoscale Convective Systems Over the Peruvian Central Andes in Multi 5‐Year Convection‐Permitting Simulations |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T10%3A08%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Characteristics%20of%20Precipitation%20and%20Mesoscale%20Convective%20Systems%20Over%20the%20Peruvian%20Central%20Andes%20in%20Multi%205%E2%80%90Year%20Convection%E2%80%90Permitting%20Simulations&rft.jtitle=Journal%20of%20geophysical%20research.%20Atmospheres&rft.au=Huang,%20Yongjie&rft.date=2024-09-16&rft.volume=129&rft.issue=17&rft.epage=n/a&rft.issn=2169-897X&rft.eissn=2169-8996&rft_id=info:doi/10.1029/2023JD040394&rft_dat=%3Cproquest_cross%3E3102375780%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2322-e887c0b1666aa59aec06b82e9b7bcfccd816d2280e722d461fac349ccde48ece3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3102375780&rft_id=info:pmid/&rfr_iscdi=true |