Monthly temperature and precipitation fields on a storm‐facing mountain front: Statistical structure and empirical parameterization

Ying Fan, Christopher J. Duffy

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

This paper presents an analysis of monthly temperature (T) and precipitation (P) time series at 28 climatologic stations on the storm‐facing slope of the Wasatch Range, Utah. The goal is to examine the space‐time structure of T and P and to develop an empirical model incorporating both seasonal and elevation effects. Each time series (T or P) is decomposed into the sum of a long‐term mean, a seasonal cycle, and a residual random process. The seasonal cycle is well determined by the amplitude and phase of a few harmonics, and the residual noise is approximated by a power law form of the variance spectrum. Empirical correlations are found relating the temporal moments of altitude, allowing the construction of a parametric T‐P model as a function of altitude and season. The observed correlations are discussed within the context of the region's synoptic weather patterns. When combined with digital elevation data, the model can be used to estimate seasonal temperature and precipitation fields as input to mountain front hydrologic studies.

Original languageEnglish (US)
Pages (from-to)4157-4166
Number of pages10
JournalWater Resources Research
Volume29
Issue number12
DOIs
StatePublished - Jan 1 1993

Fingerprint

Parameterization
parameterization
mountains
mountain
Time series
time series analysis
time series
temperature
Random processes
Temperature
power law
weather

All Science Journal Classification (ASJC) codes

  • Water Science and Technology
  • Aquatic Science
  • Environmental Science(all)
  • Environmental Chemistry

Cite this

@article{8899cc36362345a99e005ed7ee23f03a,
title = "Monthly temperature and precipitation fields on a storm‐facing mountain front: Statistical structure and empirical parameterization",
abstract = "This paper presents an analysis of monthly temperature (T) and precipitation (P) time series at 28 climatologic stations on the storm‐facing slope of the Wasatch Range, Utah. The goal is to examine the space‐time structure of T and P and to develop an empirical model incorporating both seasonal and elevation effects. Each time series (T or P) is decomposed into the sum of a long‐term mean, a seasonal cycle, and a residual random process. The seasonal cycle is well determined by the amplitude and phase of a few harmonics, and the residual noise is approximated by a power law form of the variance spectrum. Empirical correlations are found relating the temporal moments of altitude, allowing the construction of a parametric T‐P model as a function of altitude and season. The observed correlations are discussed within the context of the region's synoptic weather patterns. When combined with digital elevation data, the model can be used to estimate seasonal temperature and precipitation fields as input to mountain front hydrologic studies.",
author = "Ying Fan and Duffy, {Christopher J.}",
year = "1993",
month = "1",
day = "1",
doi = "10.1029/93WR02141",
language = "English (US)",
volume = "29",
pages = "4157--4166",
journal = "Water Resources Research",
issn = "0043-1397",
publisher = "American Geophysical Union",
number = "12",

}

Monthly temperature and precipitation fields on a storm‐facing mountain front : Statistical structure and empirical parameterization. / Fan, Ying; Duffy, Christopher J.

In: Water Resources Research, Vol. 29, No. 12, 01.01.1993, p. 4157-4166.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Monthly temperature and precipitation fields on a storm‐facing mountain front

T2 - Statistical structure and empirical parameterization

AU - Fan, Ying

AU - Duffy, Christopher J.

PY - 1993/1/1

Y1 - 1993/1/1

N2 - This paper presents an analysis of monthly temperature (T) and precipitation (P) time series at 28 climatologic stations on the storm‐facing slope of the Wasatch Range, Utah. The goal is to examine the space‐time structure of T and P and to develop an empirical model incorporating both seasonal and elevation effects. Each time series (T or P) is decomposed into the sum of a long‐term mean, a seasonal cycle, and a residual random process. The seasonal cycle is well determined by the amplitude and phase of a few harmonics, and the residual noise is approximated by a power law form of the variance spectrum. Empirical correlations are found relating the temporal moments of altitude, allowing the construction of a parametric T‐P model as a function of altitude and season. The observed correlations are discussed within the context of the region's synoptic weather patterns. When combined with digital elevation data, the model can be used to estimate seasonal temperature and precipitation fields as input to mountain front hydrologic studies.

AB - This paper presents an analysis of monthly temperature (T) and precipitation (P) time series at 28 climatologic stations on the storm‐facing slope of the Wasatch Range, Utah. The goal is to examine the space‐time structure of T and P and to develop an empirical model incorporating both seasonal and elevation effects. Each time series (T or P) is decomposed into the sum of a long‐term mean, a seasonal cycle, and a residual random process. The seasonal cycle is well determined by the amplitude and phase of a few harmonics, and the residual noise is approximated by a power law form of the variance spectrum. Empirical correlations are found relating the temporal moments of altitude, allowing the construction of a parametric T‐P model as a function of altitude and season. The observed correlations are discussed within the context of the region's synoptic weather patterns. When combined with digital elevation data, the model can be used to estimate seasonal temperature and precipitation fields as input to mountain front hydrologic studies.

UR - http://www.scopus.com/inward/record.url?scp=0027884163&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027884163&partnerID=8YFLogxK

U2 - 10.1029/93WR02141

DO - 10.1029/93WR02141

M3 - Article

AN - SCOPUS:0027884163

VL - 29

SP - 4157

EP - 4166

JO - Water Resources Research

JF - Water Resources Research

SN - 0043-1397

IS - 12

ER -