WRF with water vapor tracers

A study of moisture sources for the North American Monsoon

Francina Dominguez, Gonzalo Miguez-Macho, Huancui Hu

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

The regional atmospheric Weather Research and Forecasting (WRF) Model with water vapor tracer diagnostics (WRF-WVT) is used to quantify the water vapor from different oceanic and terrestrial regions that contribute to precipitation during the North American monsoon (NAM) season. The 10-yr (2004-13) June-October simulations with 20-km horizontal resolution were driven by North American Regional Reanalysis data. Results show that lower-level moisture comes predominantly from the Gulf of California and is the most important source of precipitation. Upper-level (above 800 mb) southeasterly moisture originates from the Gulf of Mexico and Sierra Madre Occidental to the east. Moisture from within the NAM region (local recycling) is the second-most important precipitation source, as the local atmospheric moisture is very efficiently converted into precipitation. However, WRF-WVT overestimates precipitation and evapotranspiration in the NAM region, particularly over the mountainous terrain. Direct comparisons with moisture source analysis using the extended dynamic recycling model (DRM) reveal that the simple model fails to correctly backtrack moisture in this region of strong vertical wind shear. Furthermore, the assumption of a well-mixed atmosphere causes the simple model to significantly underestimate local recycling. However, the direct comparison with WRF-WVT can be used to guide future DRM improvements.

Original languageEnglish (US)
Pages (from-to)1915-1927
Number of pages13
JournalJournal of Hydrometeorology
Volume17
Issue number7
DOIs
StatePublished - 2016
Externally publishedYes

Fingerprint

water vapor
monsoon
tracer
moisture
weather
recycling
atmospheric moisture
wind shear
evapotranspiration
atmosphere
simulation
comparison
gulf

Keywords

  • Atmosphere-land interaction
  • Circulation/ Dynamics
  • Fluxes
  • Hydrometeorology
  • Models and modeling
  • Physical Meteorology and Climatology
  • Regional models
  • Tracers

ASJC Scopus subject areas

  • Atmospheric Science

Cite this

WRF with water vapor tracers : A study of moisture sources for the North American Monsoon. / Dominguez, Francina; Miguez-Macho, Gonzalo; Hu, Huancui.

In: Journal of Hydrometeorology, Vol. 17, No. 7, 2016, p. 1915-1927.

Research output: Contribution to journalArticle

@article{f7d7c5216e4d4aaa874b463bf3f6419a,
title = "WRF with water vapor tracers: A study of moisture sources for the North American Monsoon",
abstract = "The regional atmospheric Weather Research and Forecasting (WRF) Model with water vapor tracer diagnostics (WRF-WVT) is used to quantify the water vapor from different oceanic and terrestrial regions that contribute to precipitation during the North American monsoon (NAM) season. The 10-yr (2004-13) June-October simulations with 20-km horizontal resolution were driven by North American Regional Reanalysis data. Results show that lower-level moisture comes predominantly from the Gulf of California and is the most important source of precipitation. Upper-level (above 800 mb) southeasterly moisture originates from the Gulf of Mexico and Sierra Madre Occidental to the east. Moisture from within the NAM region (local recycling) is the second-most important precipitation source, as the local atmospheric moisture is very efficiently converted into precipitation. However, WRF-WVT overestimates precipitation and evapotranspiration in the NAM region, particularly over the mountainous terrain. Direct comparisons with moisture source analysis using the extended dynamic recycling model (DRM) reveal that the simple model fails to correctly backtrack moisture in this region of strong vertical wind shear. Furthermore, the assumption of a well-mixed atmosphere causes the simple model to significantly underestimate local recycling. However, the direct comparison with WRF-WVT can be used to guide future DRM improvements.",
keywords = "Atmosphere-land interaction, Circulation/ Dynamics, Fluxes, Hydrometeorology, Models and modeling, Physical Meteorology and Climatology, Regional models, Tracers",
author = "Francina Dominguez and Gonzalo Miguez-Macho and Huancui Hu",
year = "2016",
doi = "10.1175/JHM-D-15-0221.1",
language = "English (US)",
volume = "17",
pages = "1915--1927",
journal = "Journal of Hydrometeorology",
issn = "1525-755X",
publisher = "American Meteorological Society",
number = "7",

}

TY - JOUR

T1 - WRF with water vapor tracers

T2 - A study of moisture sources for the North American Monsoon

AU - Dominguez, Francina

AU - Miguez-Macho, Gonzalo

AU - Hu, Huancui

PY - 2016

Y1 - 2016

N2 - The regional atmospheric Weather Research and Forecasting (WRF) Model with water vapor tracer diagnostics (WRF-WVT) is used to quantify the water vapor from different oceanic and terrestrial regions that contribute to precipitation during the North American monsoon (NAM) season. The 10-yr (2004-13) June-October simulations with 20-km horizontal resolution were driven by North American Regional Reanalysis data. Results show that lower-level moisture comes predominantly from the Gulf of California and is the most important source of precipitation. Upper-level (above 800 mb) southeasterly moisture originates from the Gulf of Mexico and Sierra Madre Occidental to the east. Moisture from within the NAM region (local recycling) is the second-most important precipitation source, as the local atmospheric moisture is very efficiently converted into precipitation. However, WRF-WVT overestimates precipitation and evapotranspiration in the NAM region, particularly over the mountainous terrain. Direct comparisons with moisture source analysis using the extended dynamic recycling model (DRM) reveal that the simple model fails to correctly backtrack moisture in this region of strong vertical wind shear. Furthermore, the assumption of a well-mixed atmosphere causes the simple model to significantly underestimate local recycling. However, the direct comparison with WRF-WVT can be used to guide future DRM improvements.

AB - The regional atmospheric Weather Research and Forecasting (WRF) Model with water vapor tracer diagnostics (WRF-WVT) is used to quantify the water vapor from different oceanic and terrestrial regions that contribute to precipitation during the North American monsoon (NAM) season. The 10-yr (2004-13) June-October simulations with 20-km horizontal resolution were driven by North American Regional Reanalysis data. Results show that lower-level moisture comes predominantly from the Gulf of California and is the most important source of precipitation. Upper-level (above 800 mb) southeasterly moisture originates from the Gulf of Mexico and Sierra Madre Occidental to the east. Moisture from within the NAM region (local recycling) is the second-most important precipitation source, as the local atmospheric moisture is very efficiently converted into precipitation. However, WRF-WVT overestimates precipitation and evapotranspiration in the NAM region, particularly over the mountainous terrain. Direct comparisons with moisture source analysis using the extended dynamic recycling model (DRM) reveal that the simple model fails to correctly backtrack moisture in this region of strong vertical wind shear. Furthermore, the assumption of a well-mixed atmosphere causes the simple model to significantly underestimate local recycling. However, the direct comparison with WRF-WVT can be used to guide future DRM improvements.

KW - Atmosphere-land interaction

KW - Circulation/ Dynamics

KW - Fluxes

KW - Hydrometeorology

KW - Models and modeling

KW - Physical Meteorology and Climatology

KW - Regional models

KW - Tracers

UR - http://www.scopus.com/inward/record.url?scp=84983748507&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84983748507&partnerID=8YFLogxK

U2 - 10.1175/JHM-D-15-0221.1

DO - 10.1175/JHM-D-15-0221.1

M3 - Article

VL - 17

SP - 1915

EP - 1927

JO - Journal of Hydrometeorology

JF - Journal of Hydrometeorology

SN - 1525-755X

IS - 7

ER -