@Article{GonçalvesSCXHTMR:2006:ImDiIn,
author = "Gon{\c{c}}alves, Luiz Gon{\c{c}}alves de and Shuttleworth,
William James and Chou, Sin Chan and Xue, Yongkang and Houser,
Paul R. and Toll, David L. and Marengo, Jos{\'e} Ant{\^o}nio and
Rodell, Matthew",
affiliation = "Department of Hydrology and Water Resources, University of
Arizona, Tucson, Arizona, USA and Department of Hydrology and
Water Resources, University of Arizona, Tucson, Arizona, USA and
Instituto Nacional de Pesquisas Espaciais (INPE), Centro de
Previs{\~a}o de Tempo e Estudos Clim{\'a}ticos (CPTEC) and
Department of Geography, University of California, Los Angeles and
Center for Research on Environmental and Water, George Mason,
University Calverton, Maryland, USA and Hydrological Sciences
Branch, Maryland, USA and Instituto Nacional de Pesquisas
Espaciais (INPE), Centro de Previs{\~a}o de Tempo e Estudos
Clim{\'a}ticos (CPTEC) and Hydrological Sciences Branch,
Maryland, USA",
title = "Impact of different initial soil moisture fields on Eta model
weather forecasts for South America",
journal = "Journal of Geophysical Research",
year = "2006",
volume = "111",
number = "D17102",
pages = "01--14",
month = "Sept.",
keywords = "simplified simple biosphere, SSiB, CPTEC, Centro de Previs{\~a}o
de Estudos Clim{\'a}ticos, South American Land Data Assimilation
System, SALDAS, NCEP, South Atlantic Convergence Zone.",
abstract = "Two 7-day weather simulations were made for South America in July
2003 and January 2004 (in the Southern Hemisphere summer and
winter) to investigate the impacts of using different soil
moisture initialization fields in the Eta model coupled to the
Simplified Simple Biosphere (SSiB) land surface model. The
alternative initial soil moisture fields were (1) the soil
moisture climatology used operationally by the Centro de
Previs{\~a}o de Tempo e Estudos Clim{\'a}ticos in Brazil and (2)
the soil moisture fields generated by a South American Land Data
Assimilation System (SALDAS) based on SSib. When the SALDAS soil
moisture fields were used, there was as increase in the model
performance relative to climatology in the equitable threat score
calculated with respect to observed surface precipitation fields
and a decrease (up to 53%) in the root-mean-square error relative
to the NCEP analysis of the modeled geopotencial height at 500 hPa
and mean sea pessure. However, there was small change in the model
skill in positioning the primary South American weather systems
because of a change in the upper troposphere circulation caused by
SALDAS initialization, most noticeably in the South Atlantic
Convergence Zone.",
copyholder = "SID/SCD",
issn = "0148-0227 and 2156-2202",
language = "en",
targetfile = "Gon{\c{c}}alves.Impact.pdf",
urlaccessdate = "16 jun. 2024"
}