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Titel |
A new concept for simulation of vegetated land surface dynamics – Part 1: The event driven phenology model |
VerfasserIn |
V. Kovalskyy, G. M. Henebry |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1726-4170
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Digitales Dokument |
URL |
Erschienen |
In: Biogeosciences ; 9, no. 1 ; Nr. 9, no. 1 (2012-01-09), S.141-159 |
Datensatznummer |
250006656
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Publikation (Nr.) |
copernicus.org/bg-9-141-2012.pdf |
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Zusammenfassung |
Phenologies of the vegetated land surface are being used increasingly for
diagnosis and prognosis of climate change consequences. Current prospective
and retrospective phenological models stand far apart in their approaches to
the subject. We report on an exploratory attempt to implement a phenological
model based on a new event driven concept which has both diagnostic and
prognostic capabilities in the same modeling framework. This Event Driven
Phenological Model (EDPM) is shown to simulate land surface phenologies and
phenophase transition dates in agricultural landscapes based on assimilation
of weather data and land surface observations from spaceborne sensors. The
model enables growing season phenologies to develop in response to changing
environmental conditions and disturbance events. It also has the ability to
ingest remotely sensed data to adjust its output to improve representation
of the modeled variable. We describe the model and report results of initial
testing of the EDPM using Level 2 flux tower records from the Ameriflux
sites at Mead, Nebraska, USA, and at Bondville, Illinois, USA. Simulating
the dynamics of normalized difference vegetation index based on flux tower
data, the predictions by the EDPM show good agreement (RMSE < 0.08;
r2 > 0.8) for maize and soybean during several growing seasons at
different locations. This study presents the EDPM used in the companion
paper (Kovalskyy and Henebry, 2011) in a coupling scheme to estimate daily
actual evapotranspiration over multiple growing seasons. |
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