LAND SURFACE-ATMOSPHERE INTERACTIONS IN REGIONAL MODELING OVER SOUTH AMERICA

Persistent Link:
http://hdl.handle.net/10150/195893
Title:
LAND SURFACE-ATMOSPHERE INTERACTIONS IN REGIONAL MODELING OVER SOUTH AMERICA
Author:
Goncalves de Goncalves, Luis Gustavo
Issue Date:
2005
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
Land surface processes play an important role when modeling weather and climate, and understanding and representing such processes in South America is a particular challenge because of the large variations in regional climate and surface features such as vegetation and soil. Numerical models have been used to explore the climate and weather of continental South America, but without appropriate initiation of land surface conditions model simulations can rapidly diverge from reality. This initiation problem is exacerbated by the fact that conventional surface observations over South America are scarce and biased towards the urban centers and coastal areas. This dissertation explores issues related to the apt representation of land surface processes and their impacts in numerical simulations with a regional atmospheric model (specifically the Eta model) over South America. The impacts of vegetation heterogeneity in regional weather forecast were first investigated. A South American Land Data Assimilation System (SALDAS) was then created analogous to that currently used in North America to estimate soil moisture fields for initializing regional atmospheric models. The land surface model (LSM) used in this SALDAS is the Simplified Simple Biosphere (SSiB). Precipitation fields are critical when calculating soil moisture and, because conventional surface observations are scarce in South America, some of the most important remote sensed precipitation products were evaluated as potential precipitation forcing for the SALDAS. Spin up states for SSiB where then compared with climatological estimates of land surface fields and significant differences found. Finally, an assessment was made of the value of SALDAS-derived soil moisture fields on Eta model forecasts. The primary result was that model performance is enhanced over the entire continent in up to 72h forecasts using SALDAS surface fields
Type:
text; Electronic Dissertation
Keywords:
surface hydrology; land data assimilation; land surface atmosphere interactions; south america; regional modeling
Degree Name:
PhD
Degree Level:
doctoral
Degree Program:
Hydrology; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Shuttleworth, William James
Committee Chair:
Shuttleworth, William James

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleLAND SURFACE-ATMOSPHERE INTERACTIONS IN REGIONAL MODELING OVER SOUTH AMERICAen_US
dc.creatorGoncalves de Goncalves, Luis Gustavoen_US
dc.contributor.authorGoncalves de Goncalves, Luis Gustavoen_US
dc.date.issued2005en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractLand surface processes play an important role when modeling weather and climate, and understanding and representing such processes in South America is a particular challenge because of the large variations in regional climate and surface features such as vegetation and soil. Numerical models have been used to explore the climate and weather of continental South America, but without appropriate initiation of land surface conditions model simulations can rapidly diverge from reality. This initiation problem is exacerbated by the fact that conventional surface observations over South America are scarce and biased towards the urban centers and coastal areas. This dissertation explores issues related to the apt representation of land surface processes and their impacts in numerical simulations with a regional atmospheric model (specifically the Eta model) over South America. The impacts of vegetation heterogeneity in regional weather forecast were first investigated. A South American Land Data Assimilation System (SALDAS) was then created analogous to that currently used in North America to estimate soil moisture fields for initializing regional atmospheric models. The land surface model (LSM) used in this SALDAS is the Simplified Simple Biosphere (SSiB). Precipitation fields are critical when calculating soil moisture and, because conventional surface observations are scarce in South America, some of the most important remote sensed precipitation products were evaluated as potential precipitation forcing for the SALDAS. Spin up states for SSiB where then compared with climatological estimates of land surface fields and significant differences found. Finally, an assessment was made of the value of SALDAS-derived soil moisture fields on Eta model forecasts. The primary result was that model performance is enhanced over the entire continent in up to 72h forecasts using SALDAS surface fieldsen_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectsurface hydrologyen_US
dc.subjectland data assimilationen_US
dc.subjectland surface atmosphere interactionsen_US
dc.subjectsouth americaen_US
dc.subjectregional modelingen_US
thesis.degree.namePhDen_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineHydrologyen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorShuttleworth, William Jamesen_US
dc.contributor.chairShuttleworth, William Jamesen_US
dc.contributor.committeememberBurke, Eleanor J.en_US
dc.contributor.committeememberNijssen, Barten_US
dc.contributor.committeememberZeng, Xubinen_US
dc.identifier.proquest1153en_US
dc.identifier.oclc659746240en_US
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