Gretchen Miller

Dr. Gretchen Miller

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Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 October 2010 in Water Resources Research
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Journal Article
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GMGretchen Miller
Gretchen Miller
XCXingyuan Chen
Xingyuan Chen
YRYoram Rubin
Yoram Rubin
SMSiyan Ma
Siyan Ma
DBDennis Baldocchi
Dennis Baldocchi

25 February 2014 in Groundwater
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Journal Article
Closed access
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SGSi Gou
Si Gou
SGSusana Gonzales
Susana Gonzales
GMGretchen Miller
Gretchen Miller

26 August 2016 in Hydrological Processes
Verified
Journal Article
Closed access
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LALuiza Maria Teophilo Aparecido
Luiza Maria Teophilo Aparecido
GMGretchen Miller
Gretchen Miller
ACAnthony T. Cahill
Anthony T. Cahill
GMGeorgianne Moore
Georgianne Moore


1 May 2007 in Advances in Water Resources
Verified
Journal Article
Closed access
GMGretchen Miller
Gretchen Miller
DBDennis Baldocchi
Dennis Baldocchi
BLBeverly E. Law
Beverly E. Law
TMTilden Meyers
Tilden Meyers

31 October 2020 in Geoscientific Model Development
Verified
Journal Article
Open access
PDF file
JSJaeyoung Song
Jaeyoung Song
GMGretchen Miller
Gretchen Miller
ACAnthony T. Cahill
Anthony T. Cahill
LALuiza Maria T. Aparecido
Luiza Maria T. Aparecido
GMGeorgianne W. Moore
Georgianne W. Moore
This study compares the performance of the Community Land Models (CLM4.5 and CLM5) against tower and ground measurements from a tropical montane rainforest in Costa Rica. The study site receives over 4000 mm of mean annual precipitation and has high daily levels of relative humidity. The measurement tower is equipped with eddy-covariance and vertical profile systems able to measure various micrometeorological variables, particularly in wet and complex terrain. In this work, results from point-scale simulations for both CLM4.5 and its updated version (CLM5) are compared to observed canopy flux and micrometeorological data. Both models failed to capture the effects of frequent rainfall events and mountainous topography on the variables of interest (temperatures, leaf wetness, and fluxes). Overall, CLM5 alleviates some errors in CLM4.5, but CLM5 still cannot precisely simulate a number of canopy processes for this forest. Soil, air, and canopy temperatures, as well as leaf wetness, remain too sensitive to incoming solar radiation rates despite updates to the model. As a result, daytime vapor flux and carbon flux are overestimated, and modeled temperature differences between day and night are higher than those observed. Slope effects appear in the measured average diurnal variations of surface albedo and carbon flux, but CLM5 cannot simulate these features. This study suggests that both CLMs still require further improvements concerning energy partitioning processes, such as leaf wetness process, photosynthesis model, and aerodynamic resistance model for wet and mountainous regions.