Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models

Abstract The ability of an observationally‐constrained cloud‐system resolving model (Weather Research and Forecasting; WRF, 4‐km grid spacing) and a global climate model (Energy Exascale Earth System Model; E3SM, 1‐degree grid spacing) to represent the precipitation diurnal cycle over the Amazon bas...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Sheng‐Lun Tai, Zhe Feng, Po‐Lun Ma, Courtney Schumacher, Jerome D. Fast
Formato: article
Lenguaje:EN
Publicado: American Geophysical Union (AGU) 2021
Materias:
Acceso en línea:https://doaj.org/article/c8746bfb5ac644158cf2161634674e6e
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c8746bfb5ac644158cf2161634674e6e
record_format dspace
spelling oai:doaj.org-article:c8746bfb5ac644158cf2161634674e6e2021-11-30T08:40:32ZRepresentations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models1942-246610.1029/2021MS002586https://doaj.org/article/c8746bfb5ac644158cf2161634674e6e2021-11-01T00:00:00Zhttps://doi.org/10.1029/2021MS002586https://doaj.org/toc/1942-2466Abstract The ability of an observationally‐constrained cloud‐system resolving model (Weather Research and Forecasting; WRF, 4‐km grid spacing) and a global climate model (Energy Exascale Earth System Model; E3SM, 1‐degree grid spacing) to represent the precipitation diurnal cycle over the Amazon basin during the 2014 wet season is assessed. The WRF model coupled with a 3‐D variational data assimilation scheme reproduces the spatial variability of the precipitation diurnal cycle over the basin and the lifecycle of westward propagating MCSs initiated by the coastal sea‐breeze front. In contrast, a single morning peak in rainfall is produced by E3SM for simulations despite the nudging of large‐scale winds toward global reanalysis, indicating precipitation in E3SM is largely controlled by local convection associated with diurnal heating. The role of propagating MCS on the environment are discussed by using a multivariate perturbation analysis. We also find that the advection of moisture perturbations from ocean to inland regions have a higher correlation with the occurrence of MCSs in the Amazon than the intensity of colder air intrusion associated with sea breezes along the coast. Moreover, the presence of large cold pools over the central Amazon basin are responsible for the maintenance of propagating deep convection.Sheng‐Lun TaiZhe FengPo‐Lun MaCourtney SchumacherJerome D. FastAmerican Geophysical Union (AGU)articleprecipitationAmazondiurnal cycledata assimilationmesoscale convective systemsea breezePhysical geographyGB3-5030OceanographyGC1-1581ENJournal of Advances in Modeling Earth Systems, Vol 13, Iss 11, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic precipitation
Amazon
diurnal cycle
data assimilation
mesoscale convective system
sea breeze
Physical geography
GB3-5030
Oceanography
GC1-1581
spellingShingle precipitation
Amazon
diurnal cycle
data assimilation
mesoscale convective system
sea breeze
Physical geography
GB3-5030
Oceanography
GC1-1581
Sheng‐Lun Tai
Zhe Feng
Po‐Lun Ma
Courtney Schumacher
Jerome D. Fast
Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models
description Abstract The ability of an observationally‐constrained cloud‐system resolving model (Weather Research and Forecasting; WRF, 4‐km grid spacing) and a global climate model (Energy Exascale Earth System Model; E3SM, 1‐degree grid spacing) to represent the precipitation diurnal cycle over the Amazon basin during the 2014 wet season is assessed. The WRF model coupled with a 3‐D variational data assimilation scheme reproduces the spatial variability of the precipitation diurnal cycle over the basin and the lifecycle of westward propagating MCSs initiated by the coastal sea‐breeze front. In contrast, a single morning peak in rainfall is produced by E3SM for simulations despite the nudging of large‐scale winds toward global reanalysis, indicating precipitation in E3SM is largely controlled by local convection associated with diurnal heating. The role of propagating MCS on the environment are discussed by using a multivariate perturbation analysis. We also find that the advection of moisture perturbations from ocean to inland regions have a higher correlation with the occurrence of MCSs in the Amazon than the intensity of colder air intrusion associated with sea breezes along the coast. Moreover, the presence of large cold pools over the central Amazon basin are responsible for the maintenance of propagating deep convection.
format article
author Sheng‐Lun Tai
Zhe Feng
Po‐Lun Ma
Courtney Schumacher
Jerome D. Fast
author_facet Sheng‐Lun Tai
Zhe Feng
Po‐Lun Ma
Courtney Schumacher
Jerome D. Fast
author_sort Sheng‐Lun Tai
title Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models
title_short Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models
title_full Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models
title_fullStr Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models
title_full_unstemmed Representations of Precipitation Diurnal Cycle in the Amazon as Simulated by Observationally Constrained Cloud‐System Resolving and Global Climate Models
title_sort representations of precipitation diurnal cycle in the amazon as simulated by observationally constrained cloud‐system resolving and global climate models
publisher American Geophysical Union (AGU)
publishDate 2021
url https://doaj.org/article/c8746bfb5ac644158cf2161634674e6e
work_keys_str_mv AT shengluntai representationsofprecipitationdiurnalcycleintheamazonassimulatedbyobservationallyconstrainedcloudsystemresolvingandglobalclimatemodels
AT zhefeng representationsofprecipitationdiurnalcycleintheamazonassimulatedbyobservationallyconstrainedcloudsystemresolvingandglobalclimatemodels
AT polunma representationsofprecipitationdiurnalcycleintheamazonassimulatedbyobservationallyconstrainedcloudsystemresolvingandglobalclimatemodels
AT courtneyschumacher representationsofprecipitationdiurnalcycleintheamazonassimulatedbyobservationallyconstrainedcloudsystemresolvingandglobalclimatemodels
AT jeromedfast representationsofprecipitationdiurnalcycleintheamazonassimulatedbyobservationallyconstrainedcloudsystemresolvingandglobalclimatemodels
_version_ 1718406710120415232