Intraseasonal oscillations are factors controlling the interannual variability of tropical rainfall. The knowledge of how numerical models reproduce its variability is important to better understand their roles and support operations of weather and climate. This paper investigates the sensitivity of a downscaling dynamic precipitation model in predicting the intraseasonal oscillations observed in the northern sector of Northeast Brazil (SNNEB - 45°W-37ºW and 2ºS-12°S) during the period from 1974 to 2000. The results showed that rainfall was simulated on SNNEB explained more than 70% of the variability of rainfall observed in the quarter February to April in this region. Statistical of averages, standard deviations and percent this quarter, ...
The Northeast of Brazil (NEB) shows high climate variability, ranging from semiarid regions to a rai...
O propósito deste estudo foi verificar a contribuição dos Distúrbios Ondulatórios de Leste (DOLs) na...
International audienceThe authors investigated the rainfall variability response in northern Northea...
Oscilações intrassazonais são fatores controladores da variabilidade pluviométrica interanual de áre...
It is presented the results of a evaluation to seasonal rainfall (February to May) in Northeast of B...
The Amazonia and Northeast regions of northern Brazil are characterized by very different rainfall r...
Targeted numerical modelling experimaents are conducted to complement the previous empirical diagnos...
Given the significant differences in spatial and temporal distribution of rainfall, prolonged period...
A importância de previsões de longo prazo de precipitação para o gerenciamento dos recursos hídricos...
The intraseasonal variability is an important component of Earth’s climate system, shows interaction...
Rainfall variability change under global warming is a crucial issue that may have a substantial impa...
That study presents an analysis of the results of seasonal simulation of precipitation, in from Febr...
Este estudo mostra a aplicação de modelagem hidroclimática dinâmica (hydroclimate downscaling) de pr...
The study about the climate change has been growing constantly over the past of the years, and the r...
A hidden Markov model (HMM) is used to describe daily rainfall occurrence at 10 gauge stations in th...
The Northeast of Brazil (NEB) shows high climate variability, ranging from semiarid regions to a rai...
O propósito deste estudo foi verificar a contribuição dos Distúrbios Ondulatórios de Leste (DOLs) na...
International audienceThe authors investigated the rainfall variability response in northern Northea...
Oscilações intrassazonais são fatores controladores da variabilidade pluviométrica interanual de áre...
It is presented the results of a evaluation to seasonal rainfall (February to May) in Northeast of B...
The Amazonia and Northeast regions of northern Brazil are characterized by very different rainfall r...
Targeted numerical modelling experimaents are conducted to complement the previous empirical diagnos...
Given the significant differences in spatial and temporal distribution of rainfall, prolonged period...
A importância de previsões de longo prazo de precipitação para o gerenciamento dos recursos hídricos...
The intraseasonal variability is an important component of Earth’s climate system, shows interaction...
Rainfall variability change under global warming is a crucial issue that may have a substantial impa...
That study presents an analysis of the results of seasonal simulation of precipitation, in from Febr...
Este estudo mostra a aplicação de modelagem hidroclimática dinâmica (hydroclimate downscaling) de pr...
The study about the climate change has been growing constantly over the past of the years, and the r...
A hidden Markov model (HMM) is used to describe daily rainfall occurrence at 10 gauge stations in th...
The Northeast of Brazil (NEB) shows high climate variability, ranging from semiarid regions to a rai...
O propósito deste estudo foi verificar a contribuição dos Distúrbios Ondulatórios de Leste (DOLs) na...
International audienceThe authors investigated the rainfall variability response in northern Northea...