Details:

Journal Title:
JAWRA Journal of the American Water Resources Association
Personal Author:
Seo, Bong‐Chul ; Krajewski, Witold F. ; Quintero, Felipe
Seo, Bong‐Chul ; Krajewski, Witold F. ; Quintero, Felipe Less -
NOAA Program & Office:
OAR (Oceanic and Atmospheric Research)
Description:
Streamflow predictions derived from a hydrologic model are subjected to many sources of errors, including uncertainties in meteorological inputs, representation of physical processes, and model parameters. To reduce the effects of these uncertainties and thus improve the accuracy of model prediction, the United States (U.S.) National Water Model (NWM) incorporates streamflow observations in the modeling framework and updates model‐simulated values using the observed ones. This updating procedure is called streamflow data assimilation (DA). This study evaluates the prediction performance of streamflow DA realized in the NWM. We implemented the model using WRF‐Hydro® with the NWM modeling elements and assimilated 15‐min streamflow data into the model, observed during 2016–2018 at 140 U.S. Geological Survey stream gauge stations in Iowa. In its current DA scheme, known as “nudging,” the assimilation effect is propagated downstream only, which allows us to assess the performance of streamflow predictions generated at 70 downstream stations in the study domain. These 70 locations cover basins of a range of scales, thus enabling a multi‐scale hydrologic evaluation by inspecting annual total volume, peak discharge magnitude and timing, and an overall performance indicator represented by the Kling–Gupta efficiency. The evaluation results show that DA improves the prediction skill significantly, compared to open‐loop simulation, and the improvements increase with areal coverage of upstream assimilation points.
Keywords:
[+]
Earth-Surface Processes Ecology Water Science And Technology
Source:
JAWRA Journal of the American Water Resources Association, 57(6), 875-884
DOI:
https://doi.org/10.1111/1752-1688.12955
ISSN:
1093-474X;1752-1688;
Format:
PDF
Publisher:
Wiley
Document Type:
Journal Article
Funding:
Grant no. NA17OAR4590131
Rights Information:
Accepted Manuscript
Compliance:
Library
Main Document Checksum:
[+]
urn:sha256:db98aab86ac95159d9c57098fe01524bc47d7db5117b02331a73b00c485940f1
Download URL:
https://repository.library.noaa.gov/view/noaa/57039/noaa_57039_DS1.pdf
File Type:

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