Modeling Streamflow Enhanced by Precipitation from Atmospheric River Using the NOAA National Water Model: A Case Study of the Russian River Basin for February 2004

Han, Heechan; Kim, Jungho; Chandrasekar, V.; Choi, Jeongho; Lim, Sanghun

doi:10.3390/atmos10080466

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Modeling Streamflow Enhanced by Precipitation from Atmospheric River Using the NOAA National Water Model: A Case Study of the Russian River Basin for February 2004

2019
By Han, Heechan ; Kim, Jungho ; Chandrasekar, V. ; ...
Source: Atmosphere 2019, 10(8), 466

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Details:

Journal Title:

Atmosphere
Personal Author:

Han, Heechan ; Kim, Jungho ; Chandrasekar, V. ; Choi, Jeongho ; Lim, Sanghun

Han, Heechan ; Kim, Jungho ; Chandrasekar, V. ; Choi, Jeongho ; Lim, Sanghun Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; PSL (Physical Sciences Laboratory) ; CIRA (Cooperative Institute for Research in the Atmosphere)

OAR (Oceanic and Atmospheric Research) ; ESRL (Earth System Research Laboratory) ; PSL (Physical Sciences Laboratory) ; CIRA (Cooperative Institute for Research in the Atmosphere) Less -
Description:

This study aims to address hydrological processes and impacts of an atmospheric river (AR) event that occurred during 15–18 February 2004 in the Russian River basin in California. The National Water Model (NWM), a fully distributed hydrologic model, was used to evaluate the hydrological processes including soil moisture flux, overland flow, and streamflow. Observed streamflow and volumetric soil water content data were used to evaluate the performance of the NWM using various error metrics. The simulation results showed that this AR event (15–18 February 2004) with a long duration of precipitation could cause not only deep soil saturation, but also high direct runoff depth. Taken together, the analysis revealed the complex interaction between precipitation and land surface response to the AR event. The results emphasize the significance of a change of water contents in various soil layers and suggest that soil water content monitoring could aid in improving flood forecasting accuracy caused by the extreme events such as the AR.
Keywords:

[+]

Hydrology Mathematical Models Rain And Rainfall
Source:

Atmosphere 2019, 10(8), 466
DOI:

https://doi.org/10.3390/atmos10080466
Document Type:

Journal Article
Place as Subject:

Russian River (Calif.)
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:8941336f8608f12d9af4f34c06f99f0f8e3de227aa2ed0dcbd692d3c11bdc086
Download URL:

https://repository.library.noaa.gov/view/noaa/28145/noaa_28145_DS1.pdf
File Type:

[PDF-5.15 MB]