Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of geophysical research. Atmospheres 2024-09, Vol.129 (17), p.n/a
Main Authors: 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
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by
cites cdi_FETCH-LOGICAL-c2322-e887c0b1666aa59aec06b82e9b7bcfccd816d2280e722d461fac349ccde48ece3
container_end_page n/a
container_issue 17
container_start_page
container_title Journal of geophysical research. Atmospheres
container_volume 129
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
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3102375780</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3102375780</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2322-e887c0b1666aa59aec06b82e9b7bcfccd816d2280e722d461fac349ccde48ece3</originalsourceid><addsrcrecordid>eNp9kE1OwzAQhS0EElXpjgNYYkvBsfPnZZVCoWrVioIEq8hxJtRV6hTbCeqOI7DjfpyEQFHFitnMaObNe9KH0KlHLjxC-SUllI2HxCeM-weoQ72Q92POw8P9HD0eo561K9JWTJgf-B30kSyFEdKBUdYpaXFV4LkBqTbKCacqjYXO8RRsZaUoASeVbkA61QBebK2DtcWzBgx2S8BzMHWjhMYJaGdEiQc6B4uVxtO6dAoHn2_vTyDM3qTS7ab9WivnlH7GC7Wuy59Ue4KOClFa6P32Lnq4vrpPbvqT2eg2GUz6kjJK-xDHkSSZF4ahEAEXIEmYxRR4FmWykDKPvTCnNCYQUZr7oVcIyXzeHsCPQQLrorOd78ZULzVYl66q2ug2MmUtVhYFUYuqi853Kmkqaw0U6caotTDb1CPpN_30L_1WznbyV1XC9l9tOh7dDQMeccq-ABbSi1Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3102375780</pqid></control><display><type>article</type><title>Characteristics of Precipitation and Mesoscale Convective Systems Over the Peruvian Central Andes in Multi 5‐Year Convection‐Permitting Simulations</title><source>Wiley</source><source>Alma/SFX Local Collection</source><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</creator><creatorcontrib>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</creatorcontrib><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><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 &amp; 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 &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; 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>
fulltext fulltext
identifier ISSN: 2169-897X
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