Articles | Volume 20, issue 7
Research article
08 Jul 2016
Research article |  | 08 Jul 2016

A retrospective streamflow ensemble forecast for an extreme hydrologic event: a case study of Hurricane Irene and on the Hudson River basin

Firas Saleh, Venkatsundar Ramaswamy, Nickitas Georgas, Alan F. Blumberg, and Julie Pullen

Data sets

North American Regional Reanalysis (NARR) F. Mesinger, G. DiMego, E. Kalnay, K. Mitchell, P. C. Shafran, W. Ebisuzaki, D. Jović, J. Woollen, E. Rogers, E. H. Berbery, M. B. Ek, Y. Fan, R. Grumbine, W. Higgins, H. Li, Y. Lin, G. Manikin, D> Parrish, and W. Shi

Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) W. Scharffenberg

HEC-GeoHMS M. Fleming and J. Doan

USGS National Elevation Dataset (NED) D. Gesch, M. Oimoen, S. Greenlee, C. Nelson, M. Steuck, and D. Tyler

Land surface cover from US Department of Agriculture National Resource Conservation Service (NRCS) USDA

Soil data from the State Soil Geographic Database (STATSGO) D. A. Miller and R. A. White

Land use from USGS National Land Cover Dataset (NLCD) C. H. Homer, J. A. Fry, and C. A. Barnes

R dataRetrieval package R. M. Hirsch and L. A. De Cicco

R lfstat package D. Koffler and G. Laaha

Short summary
An operational framework was implemented to generate retrospective ensemble streamflow forecasts for an extreme hydrological event, Hurricane Irene. The implications of this work benefit streamflow forecast efforts and can be used for numerous applications, such as forecasting the water resources variability, predicting fate of water quality and climate change scenarios. Socio-economic analysis may be used to weigh on how improved forecasts prevent life loss and minimize property damage.