Technical Papers
Feb 18, 2019

Model Selection Based on Sectoral Application Scale for Increased Value of Hydroclimate-Prediction Information

Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 5

Abstract

Advance predictions of seasonal precipitation may provide information to aid water resource management decisions in various sectors. Yet, a disconnect between the spatial scale upon which skillful predictions are issued and the sectoral decision-making scale renders current predictive information inadequate in many cases. This study explores season-ahead precipitation prediction skill for a local region in the Blue Nile basin, Ethiopia, to better understand how model structure may serve to provide more skillful and valuable predictive information to the end user. Statistical downscaling of global dynamic and regional empirical models and development of a high-resolution, locally tailored statistical model indicate that model structure and prediction skill are inextricably linked. Statistical approaches specific to the local region show higher prediction skill at the sectoral decision-making scale compared with dynamic approaches, offering the potential to aid local communities in many regions that are currently vulnerable to highly variable spatial precipitation patterns. Linking the local-scale precipitation predictions with a simple reservoir model in Ethiopia illustrates application of local-scale predictive information for enhanced value in planning and management decisions.

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Acknowledgments

This material is based upon work supported by the National Science Foundation under Grant No. 1545874. The authors acknowledge the National Meteorological Agency of Ethiopia and the Abay Basin Authority, in particular Girmachew Addisu, for sharing data.

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Journal of Water Resources Planning and Management
Volume 145Issue 5May 2019

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Received: Mar 9, 2018
Accepted: Sep 7, 2018
Published online: Feb 18, 2019
Published in print: May 1, 2019
Discussion open until: Jul 18, 2019

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Sarah Alexander, S.M.ASCE
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison, Madison, WI 53706.
Shu Wu
Assistant Researcher, Nelson Institute Center for Climatic Research, Univ. of Wisconsin–Madison, Madison, WI 53706.
Paul Block, M.ASCE [email protected]
Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Wisconsin–Madison, Madison, WI 53706; Nelson Institute Center for Climatic Research, Univ. of Wisconsin–Madison, Madison, WI 53706 (corresponding author). Email: [email protected]

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ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
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