Announcement Special Issue on Ensemble Prediction and Data Assimilation for Operational Hydrology and Water Resources Management

Announcement of Special Issue in Journal of Hydrology
Theme: Ensemble prediction and data assimilation for operational hydrology and water resources management

Guest Editors:
Dong-Jun (DJ) Seo, The University of Texas at Arlington
Yuqiong Liu, NASA & University of Maryland
Hamid Moradkhani, Portland State University
Albrecht Weerts, Deltares & Wageningen University

Science basis of the theme:

Ensemble methodologies are fast gaining popularity as a new paradigm for operational hydrologic forecasting and water resources management. Because they require uncertainty modeling of complex hydrologic processes and water management practices, as well as the use of hydrometeorological forecasts and post processing of model output for tailored risk-based decision making, there exists a range of scientific challenges that must be addressed to realize the full potential. A salient bottleneck in operationalization of hydrologic ensemble prediction is data assimilation (DA). Currently, operational hydrologic forecasting relies heavily on manual DA which is not considered viable in ensemble forecasting. The purpose of this special issue is to provide the readership with a locus for contributions in hydrologic ensemble forecasting and DA of the latest advances, lessons learned, experiences gained, and science issues and challenges to be shared with the community.

Envisaged schedule for the review period:
Aug 31, 2013 – manuscripts due
Oct 31, 2013 – 1st review due
Nov 30, 2013 – revision due
Dec 31, 2013 – 2nd review due
Early 2014 – publication
More details will follow as they become available


  1. Upon the requests of potential contributors to this SI, we have extended the deadline to October 31, 2013.

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