Seasonal drought predictability in Portugal using statistical–dynamical techniques

Volume: 94, Pages: 155 - 166
Published: Aug 1, 2016
Abstract
Atmospheric forecasting and predictability are important to promote adaption and mitigation measures in order to minimize drought impacts. This study estimates hybrid (statistical–dynamical) long-range forecasts of the regional drought index SPI (3-months) over homogeneous regions from mainland Portugal, based on forecasts from the UKMO operational forecasting system, with lead-times up to 6 months. ERA-Interim reanalysis data is used for the...
Paper Details
Title
Seasonal drought predictability in Portugal using statistical–dynamical techniques
Published Date
Aug 1, 2016
Volume
94
Pages
155 - 166
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.