Evapotranspiration comparisons between eddy covariance measurements and meteorological and remote-sensing-based models in disturbed ponderosa pine forests

Wonsook Ha, Thomas E. Kolb, Abraham E. Springer, Sabina Dore, Frances C. O'Donnell, Rodolfo Martinez Morales, Sharon Masek Lopez, George W. Koch

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi-arid, high-elevation ponderosa pine forests of the south-western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured actual ET with the eddy covariance (eddy) method over 4years in three ponderosa pine forests near Flagstaff, Arizona, that differ in disturbance history (undisturbed control, wildfire burned, and restoration thinning) and compared these measurements (415-510mmyear-1 on average) with actual ET estimated from five meteorological models [Penman-Monteith (P-M), P-M with dynamic control of stomatal resistance (P-M-d), Priestley-Taylor (P-T), McNaughton-Black (M-B), and Shuttleworth-Wallace (S-W)] and from the Moderate Resolution Imaging Spectroradiometer (MODIS) ET product. The meteorological models with constant stomatal resistance (P-M, M-B, and S-W) provided the most accurate estimates of annual eddy ET (average percent differences ranged between 11 and -14%), but their accuracy varied across sites. The P-M-d consistently underpredicted ET at all sites. The more simplistic P-T model performed well at the control site (18% overprediction) but strongly overpredicted annual eddy ET at the restoration sites (92%) and underpredicted at the fire site (-26%). The MODIS ET underpredicted annual eddy ET at all sites by at least 51% primarily because of underestimation of leaf area index. Overall, we conclude that with accurate parameterization, micrometeorological models can predict ET within 30% in forests of the south-western USA and that remote sensing-based ET estimates need to be improved through use of higher resolution products.

Original languageEnglish (US)
Pages (from-to)1335-1350
Number of pages16
JournalEcohydrology
Volume8
Issue number7
DOIs
StatePublished - Oct 1 2015

Fingerprint

Pinus ponderosa
eddy covariance
coniferous forests
evapotranspiration
remote sensing
eddy
moderate resolution imaging spectroradiometer
comparison
MODIS
stomatal conductance
wildfires
wildfire
leaf area index
thinning (plants)
water balance
thinning
water budget
parameterization

Keywords

  • Eddy covariance
  • Evapotranspiration
  • Forest ecosystems
  • Latent heat
  • Moderate Resolution Imaging Spectroradiometer (MODIS)
  • Ponderosa pine

ASJC Scopus subject areas

  • Aquatic Science
  • Ecology, Evolution, Behavior and Systematics
  • Earth-Surface Processes
  • Ecology

Cite this

Evapotranspiration comparisons between eddy covariance measurements and meteorological and remote-sensing-based models in disturbed ponderosa pine forests. / Ha, Wonsook; Kolb, Thomas E.; Springer, Abraham E.; Dore, Sabina; O'Donnell, Frances C.; Martinez Morales, Rodolfo; Masek Lopez, Sharon; Koch, George W.

In: Ecohydrology, Vol. 8, No. 7, 01.10.2015, p. 1335-1350.

Research output: Contribution to journalArticle

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abstract = "Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi-arid, high-elevation ponderosa pine forests of the south-western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured actual ET with the eddy covariance (eddy) method over 4years in three ponderosa pine forests near Flagstaff, Arizona, that differ in disturbance history (undisturbed control, wildfire burned, and restoration thinning) and compared these measurements (415-510mmyear-1 on average) with actual ET estimated from five meteorological models [Penman-Monteith (P-M), P-M with dynamic control of stomatal resistance (P-M-d), Priestley-Taylor (P-T), McNaughton-Black (M-B), and Shuttleworth-Wallace (S-W)] and from the Moderate Resolution Imaging Spectroradiometer (MODIS) ET product. The meteorological models with constant stomatal resistance (P-M, M-B, and S-W) provided the most accurate estimates of annual eddy ET (average percent differences ranged between 11 and -14{\%}), but their accuracy varied across sites. The P-M-d consistently underpredicted ET at all sites. The more simplistic P-T model performed well at the control site (18{\%} overprediction) but strongly overpredicted annual eddy ET at the restoration sites (92{\%}) and underpredicted at the fire site (-26{\%}). The MODIS ET underpredicted annual eddy ET at all sites by at least 51{\%} primarily because of underestimation of leaf area index. Overall, we conclude that with accurate parameterization, micrometeorological models can predict ET within 30{\%} in forests of the south-western USA and that remote sensing-based ET estimates need to be improved through use of higher resolution products.",
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T1 - Evapotranspiration comparisons between eddy covariance measurements and meteorological and remote-sensing-based models in disturbed ponderosa pine forests

AU - Ha, Wonsook

AU - Kolb, Thomas E.

AU - Springer, Abraham E.

AU - Dore, Sabina

AU - O'Donnell, Frances C.

AU - Martinez Morales, Rodolfo

AU - Masek Lopez, Sharon

AU - Koch, George W.

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AB - Evapotranspiration (ET) comprises a major portion of the water budget in forests, yet few studies have measured or estimated ET in semi-arid, high-elevation ponderosa pine forests of the south-western USA or have investigated the capacity of models to predict ET in disturbed forests. We measured actual ET with the eddy covariance (eddy) method over 4years in three ponderosa pine forests near Flagstaff, Arizona, that differ in disturbance history (undisturbed control, wildfire burned, and restoration thinning) and compared these measurements (415-510mmyear-1 on average) with actual ET estimated from five meteorological models [Penman-Monteith (P-M), P-M with dynamic control of stomatal resistance (P-M-d), Priestley-Taylor (P-T), McNaughton-Black (M-B), and Shuttleworth-Wallace (S-W)] and from the Moderate Resolution Imaging Spectroradiometer (MODIS) ET product. The meteorological models with constant stomatal resistance (P-M, M-B, and S-W) provided the most accurate estimates of annual eddy ET (average percent differences ranged between 11 and -14%), but their accuracy varied across sites. The P-M-d consistently underpredicted ET at all sites. The more simplistic P-T model performed well at the control site (18% overprediction) but strongly overpredicted annual eddy ET at the restoration sites (92%) and underpredicted at the fire site (-26%). The MODIS ET underpredicted annual eddy ET at all sites by at least 51% primarily because of underestimation of leaf area index. Overall, we conclude that with accurate parameterization, micrometeorological models can predict ET within 30% in forests of the south-western USA and that remote sensing-based ET estimates need to be improved through use of higher resolution products.

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KW - Forest ecosystems

KW - Latent heat

KW - Moderate Resolution Imaging Spectroradiometer (MODIS)

KW - Ponderosa pine

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