A numerical water tracer model for understanding event-scale hydrometeorological phenomena

Huancui Hu, Francina Dominguez, Praveen Kumar, Jeffery Mcdonnell, David Gochis

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

We develop and implement a novel numerical water tracer model within the Noah LSM with multiparameterization options (WT-Noah-MP) that is specifically designed to track individual hydrometeorological events. This approach provides a more complete representation of the physical processes beyond the standard land surface model output. Unlike isotope-enabled LSMs, WT-Noah-MP does not simulate the concentration of oxygen or hydrogen isotopes, or require isotope information to drive it. WT-Noah-MP provides stores, fluxes, and transit time estimates of tagged water in the surface-subsurface system. The new tracer tool can account for the horizontal and vertical heterogeneity of tracer transport in the subsurface by allowing partial mixing in each soil layer. We compared model-estimated transit times at the H. J. Andrews Experimental Watershed in Oregon with those derived from isotope observations. Our results show that including partial mixing in the soil results in a more realistic transit time distribution than the basic well-mixed assumption. We then used WT-Noah-MP to investigate the regional response to an extreme precipitation event in the U.S. Pacific Northwest. The model differentiated the flood response due to direct precipitation from indirect thermal effects and showed that a large portion of this event water was retained in the soil after 6 months. The water tracer addition in Noah-MP can help us quantify the long-term memory in the hydrologic system that can impact seasonal hydroclimate variability through evapotranspiration and groundwater recharge.

Original languageEnglish (US)
Pages (from-to)947-967
Number of pages21
JournalJournal of Hydrometeorology
Volume19
Issue number6
DOIs
StatePublished - Jun 1 2018
Externally publishedYes

Fingerprint

tracer
isotope
water
hydrogen isotope
temperature effect
oxygen isotope
evapotranspiration
land surface
recharge
soil
watershed
groundwater

Keywords

  • Flood events
  • Hydrometeorology
  • Land surface model
  • Regional effects
  • Soil moisture
  • Tracers

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

A numerical water tracer model for understanding event-scale hydrometeorological phenomena. / Hu, Huancui; Dominguez, Francina; Kumar, Praveen; Mcdonnell, Jeffery; Gochis, David.

In: Journal of Hydrometeorology, Vol. 19, No. 6, 01.06.2018, p. 947-967.

Research output: Contribution to journalArticle

Hu, Huancui ; Dominguez, Francina ; Kumar, Praveen ; Mcdonnell, Jeffery ; Gochis, David. / A numerical water tracer model for understanding event-scale hydrometeorological phenomena. In: Journal of Hydrometeorology. 2018 ; Vol. 19, No. 6. pp. 947-967.
@article{d56b7527208a4767bbb8c01b8e788c39,
title = "A numerical water tracer model for understanding event-scale hydrometeorological phenomena",
abstract = "We develop and implement a novel numerical water tracer model within the Noah LSM with multiparameterization options (WT-Noah-MP) that is specifically designed to track individual hydrometeorological events. This approach provides a more complete representation of the physical processes beyond the standard land surface model output. Unlike isotope-enabled LSMs, WT-Noah-MP does not simulate the concentration of oxygen or hydrogen isotopes, or require isotope information to drive it. WT-Noah-MP provides stores, fluxes, and transit time estimates of tagged water in the surface-subsurface system. The new tracer tool can account for the horizontal and vertical heterogeneity of tracer transport in the subsurface by allowing partial mixing in each soil layer. We compared model-estimated transit times at the H. J. Andrews Experimental Watershed in Oregon with those derived from isotope observations. Our results show that including partial mixing in the soil results in a more realistic transit time distribution than the basic well-mixed assumption. We then used WT-Noah-MP to investigate the regional response to an extreme precipitation event in the U.S. Pacific Northwest. The model differentiated the flood response due to direct precipitation from indirect thermal effects and showed that a large portion of this event water was retained in the soil after 6 months. The water tracer addition in Noah-MP can help us quantify the long-term memory in the hydrologic system that can impact seasonal hydroclimate variability through evapotranspiration and groundwater recharge.",
keywords = "Flood events, Hydrometeorology, Land surface model, Regional effects, Soil moisture, Tracers",
author = "Huancui Hu and Francina Dominguez and Praveen Kumar and Jeffery Mcdonnell and David Gochis",
year = "2018",
month = "6",
day = "1",
doi = "10.1175/JHM-D-17-0202.1",
language = "English (US)",
volume = "19",
pages = "947--967",
journal = "Journal of Hydrometeorology",
issn = "1525-755X",
publisher = "American Meteorological Society",
number = "6",

}

TY - JOUR

T1 - A numerical water tracer model for understanding event-scale hydrometeorological phenomena

AU - Hu, Huancui

AU - Dominguez, Francina

AU - Kumar, Praveen

AU - Mcdonnell, Jeffery

AU - Gochis, David

PY - 2018/6/1

Y1 - 2018/6/1

N2 - We develop and implement a novel numerical water tracer model within the Noah LSM with multiparameterization options (WT-Noah-MP) that is specifically designed to track individual hydrometeorological events. This approach provides a more complete representation of the physical processes beyond the standard land surface model output. Unlike isotope-enabled LSMs, WT-Noah-MP does not simulate the concentration of oxygen or hydrogen isotopes, or require isotope information to drive it. WT-Noah-MP provides stores, fluxes, and transit time estimates of tagged water in the surface-subsurface system. The new tracer tool can account for the horizontal and vertical heterogeneity of tracer transport in the subsurface by allowing partial mixing in each soil layer. We compared model-estimated transit times at the H. J. Andrews Experimental Watershed in Oregon with those derived from isotope observations. Our results show that including partial mixing in the soil results in a more realistic transit time distribution than the basic well-mixed assumption. We then used WT-Noah-MP to investigate the regional response to an extreme precipitation event in the U.S. Pacific Northwest. The model differentiated the flood response due to direct precipitation from indirect thermal effects and showed that a large portion of this event water was retained in the soil after 6 months. The water tracer addition in Noah-MP can help us quantify the long-term memory in the hydrologic system that can impact seasonal hydroclimate variability through evapotranspiration and groundwater recharge.

AB - We develop and implement a novel numerical water tracer model within the Noah LSM with multiparameterization options (WT-Noah-MP) that is specifically designed to track individual hydrometeorological events. This approach provides a more complete representation of the physical processes beyond the standard land surface model output. Unlike isotope-enabled LSMs, WT-Noah-MP does not simulate the concentration of oxygen or hydrogen isotopes, or require isotope information to drive it. WT-Noah-MP provides stores, fluxes, and transit time estimates of tagged water in the surface-subsurface system. The new tracer tool can account for the horizontal and vertical heterogeneity of tracer transport in the subsurface by allowing partial mixing in each soil layer. We compared model-estimated transit times at the H. J. Andrews Experimental Watershed in Oregon with those derived from isotope observations. Our results show that including partial mixing in the soil results in a more realistic transit time distribution than the basic well-mixed assumption. We then used WT-Noah-MP to investigate the regional response to an extreme precipitation event in the U.S. Pacific Northwest. The model differentiated the flood response due to direct precipitation from indirect thermal effects and showed that a large portion of this event water was retained in the soil after 6 months. The water tracer addition in Noah-MP can help us quantify the long-term memory in the hydrologic system that can impact seasonal hydroclimate variability through evapotranspiration and groundwater recharge.

KW - Flood events

KW - Hydrometeorology

KW - Land surface model

KW - Regional effects

KW - Soil moisture

KW - Tracers

UR - http://www.scopus.com/inward/record.url?scp=85049512541&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85049512541&partnerID=8YFLogxK

U2 - 10.1175/JHM-D-17-0202.1

DO - 10.1175/JHM-D-17-0202.1

M3 - Article

AN - SCOPUS:85049512541

VL - 19

SP - 947

EP - 967

JO - Journal of Hydrometeorology

JF - Journal of Hydrometeorology

SN - 1525-755X

IS - 6

ER -