A new method for establishing hydrologic fidelity of snow depth measurements based on snowmelt–runoff hydrographs

Daeryong Park, Momcilo Markus

Research output: Contribution to journalArticle

Abstract

For snowmelt-driven flood studies, snow water equivalent (SWE) is frequently estimated using snow depth data. Accurate measurements of snow depth are important in providing data for continuous hydrologic simulations of such watersheds. A new hydrologic fidelity metric is proposed in this study to evaluate the potential contribution of particular snow depth datasets to flow characteristics using observed data and hydrologic modeling using the Variable Infiltration Capacity (VIC) model. Data-based hydrologic fidelity of snow depth measurements is defined as a categorical skill score between the snow depth in the watershed and the hydrograph peak or volume at the watershed outlet. Similarly, model-based hydrologic fidelity is defined as a categorical skill score between the model-simulated snow depth and the model-simulated hydrograph peak or volume. The proposed framework is illustrated using the Pecatonica River watershed in the USA, indicating which sites have a higher hydrologic fidelity, which is preferred in hydrologic studies.

Original languageEnglish (US)
Pages (from-to)369-385
Number of pages17
JournalHydrological Sciences Journal
Volume63
Issue number3
DOIs
StatePublished - Feb 17 2018

Fingerprint

hydrograph
snow
watershed
snow water equivalent
snowmelt
method
infiltration
river
modeling
simulation

Keywords

  • Barnstone skill score
  • Gerrity skill score
  • LEPS skill score
  • VIC model
  • snow depth
  • snow gauge evaluation

ASJC Scopus subject areas

  • Water Science and Technology

Cite this

A new method for establishing hydrologic fidelity of snow depth measurements based on snowmelt–runoff hydrographs. / Park, Daeryong; Markus, Momcilo.

In: Hydrological Sciences Journal, Vol. 63, No. 3, 17.02.2018, p. 369-385.

Research output: Contribution to journalArticle

@article{7dcfc7443c0f47efb5f4fed5c06c8378,
title = "A new method for establishing hydrologic fidelity of snow depth measurements based on snowmelt–runoff hydrographs",
abstract = "For snowmelt-driven flood studies, snow water equivalent (SWE) is frequently estimated using snow depth data. Accurate measurements of snow depth are important in providing data for continuous hydrologic simulations of such watersheds. A new hydrologic fidelity metric is proposed in this study to evaluate the potential contribution of particular snow depth datasets to flow characteristics using observed data and hydrologic modeling using the Variable Infiltration Capacity (VIC) model. Data-based hydrologic fidelity of snow depth measurements is defined as a categorical skill score between the snow depth in the watershed and the hydrograph peak or volume at the watershed outlet. Similarly, model-based hydrologic fidelity is defined as a categorical skill score between the model-simulated snow depth and the model-simulated hydrograph peak or volume. The proposed framework is illustrated using the Pecatonica River watershed in the USA, indicating which sites have a higher hydrologic fidelity, which is preferred in hydrologic studies.",
keywords = "Barnstone skill score, Gerrity skill score, LEPS skill score, VIC model, snow depth, snow gauge evaluation",
author = "Daeryong Park and Momcilo Markus",
year = "2018",
month = "2",
day = "17",
doi = "10.1080/02626667.2018.1438613",
language = "English (US)",
volume = "63",
pages = "369--385",
journal = "Hydrological Sciences Journal",
issn = "0262-6667",
publisher = "Taylor and Francis Ltd.",
number = "3",

}

TY - JOUR

T1 - A new method for establishing hydrologic fidelity of snow depth measurements based on snowmelt–runoff hydrographs

AU - Park, Daeryong

AU - Markus, Momcilo

PY - 2018/2/17

Y1 - 2018/2/17

N2 - For snowmelt-driven flood studies, snow water equivalent (SWE) is frequently estimated using snow depth data. Accurate measurements of snow depth are important in providing data for continuous hydrologic simulations of such watersheds. A new hydrologic fidelity metric is proposed in this study to evaluate the potential contribution of particular snow depth datasets to flow characteristics using observed data and hydrologic modeling using the Variable Infiltration Capacity (VIC) model. Data-based hydrologic fidelity of snow depth measurements is defined as a categorical skill score between the snow depth in the watershed and the hydrograph peak or volume at the watershed outlet. Similarly, model-based hydrologic fidelity is defined as a categorical skill score between the model-simulated snow depth and the model-simulated hydrograph peak or volume. The proposed framework is illustrated using the Pecatonica River watershed in the USA, indicating which sites have a higher hydrologic fidelity, which is preferred in hydrologic studies.

AB - For snowmelt-driven flood studies, snow water equivalent (SWE) is frequently estimated using snow depth data. Accurate measurements of snow depth are important in providing data for continuous hydrologic simulations of such watersheds. A new hydrologic fidelity metric is proposed in this study to evaluate the potential contribution of particular snow depth datasets to flow characteristics using observed data and hydrologic modeling using the Variable Infiltration Capacity (VIC) model. Data-based hydrologic fidelity of snow depth measurements is defined as a categorical skill score between the snow depth in the watershed and the hydrograph peak or volume at the watershed outlet. Similarly, model-based hydrologic fidelity is defined as a categorical skill score between the model-simulated snow depth and the model-simulated hydrograph peak or volume. The proposed framework is illustrated using the Pecatonica River watershed in the USA, indicating which sites have a higher hydrologic fidelity, which is preferred in hydrologic studies.

KW - Barnstone skill score

KW - Gerrity skill score

KW - LEPS skill score

KW - VIC model

KW - snow depth

KW - snow gauge evaluation

UR - http://www.scopus.com/inward/record.url?scp=85042931916&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85042931916&partnerID=8YFLogxK

U2 - 10.1080/02626667.2018.1438613

DO - 10.1080/02626667.2018.1438613

M3 - Article

AN - SCOPUS:85042931916

VL - 63

SP - 369

EP - 385

JO - Hydrological Sciences Journal

JF - Hydrological Sciences Journal

SN - 0262-6667

IS - 3

ER -