Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0
A semi-parametric PAR diffuse radiation model was developed using commonly measured climatic variables from 108 site-years of data from 17 AmeriFlux sites. The model has a logistic form and improves upon previous efforts using a larger data set and physically viable climate variables as predictors,...
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doaj-c7992013fd8b4fb186af7fc6cc523b232020-11-24T22:23:53ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032014-10-01752477248410.5194/gmd-7-2477-2014Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0J. C. Kathilankal0T. L. O'Halloran1A. Schmidt2C. V. Hanson3B. E. Law4LI-COR Inc. 4647 Superior Street, Lincoln, NE 68504, USASweet Briar College, Department of Environmental Sciences, Sweet Briar, VA 24595, USADepartment of Forest Ecosystems and Society College of Forestry, Oregon State University, 321 Richardson Hall, Corvallis, OR 97331, USADepartment of Forest Ecosystems and Society College of Forestry, Oregon State University, 321 Richardson Hall, Corvallis, OR 97331, USADepartment of Forest Ecosystems and Society College of Forestry, Oregon State University, 321 Richardson Hall, Corvallis, OR 97331, USAA semi-parametric PAR diffuse radiation model was developed using commonly measured climatic variables from 108 site-years of data from 17 AmeriFlux sites. The model has a logistic form and improves upon previous efforts using a larger data set and physically viable climate variables as predictors, including relative humidity, clearness index, surface albedo and solar elevation angle. Model performance was evaluated by comparison with a simple cubic polynomial model developed for the PAR spectral range. The logistic model outperformed the polynomial model with an improved coefficient of determination and slope relative to measured data (logistic: <i>R</i><sup>2</sup> = 0.76; slope = 0.76; cubic: <i>R</i><sup>2</sup> = 0.73; slope = 0.72), making this the most robust PAR-partitioning model for the United States currently available.http://www.geosci-model-dev.net/7/2477/2014/gmd-7-2477-2014.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. C. Kathilankal T. L. O'Halloran A. Schmidt C. V. Hanson B. E. Law |
spellingShingle |
J. C. Kathilankal T. L. O'Halloran A. Schmidt C. V. Hanson B. E. Law Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0 Geoscientific Model Development |
author_facet |
J. C. Kathilankal T. L. O'Halloran A. Schmidt C. V. Hanson B. E. Law |
author_sort |
J. C. Kathilankal |
title |
Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0 |
title_short |
Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0 |
title_full |
Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0 |
title_fullStr |
Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0 |
title_full_unstemmed |
Development of a semi-parametric PAR (Photosynthetically Active Radiation) partitioning model for the United States, version 1.0 |
title_sort |
development of a semi-parametric par (photosynthetically active radiation) partitioning model for the united states, version 1.0 |
publisher |
Copernicus Publications |
series |
Geoscientific Model Development |
issn |
1991-959X 1991-9603 |
publishDate |
2014-10-01 |
description |
A semi-parametric PAR diffuse radiation model was developed using commonly
measured climatic variables from 108 site-years of data from 17 AmeriFlux
sites. The model has a logistic form and improves upon previous efforts
using a larger data set and physically viable climate variables as
predictors, including relative humidity, clearness index, surface albedo
and solar elevation angle. Model performance was evaluated by comparison
with a simple cubic polynomial model developed for the PAR spectral range.
The logistic model outperformed the polynomial model with an improved
coefficient of determination and slope relative to measured data (logistic:
<i>R</i><sup>2</sup> = 0.76; slope = 0.76; cubic: <i>R</i><sup>2</sup> = 0.73; slope = 0.72),
making this the most robust PAR-partitioning model for the United
States
currently available. |
url |
http://www.geosci-model-dev.net/7/2477/2014/gmd-7-2477-2014.pdf |
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