학술논문
Simulations of chlorophyll fluorescence incorporated into the Community Land Model version 4.
Document Type
Academic Journal
Author
Lee JE; Department of Earth, Environmental and Planetary Sciences, Brown University, P.O. Box 1846 324, Brook Street, Providence, RI, 02912, USA.; Berry JA; Geo-Information Science and Earth Observation, The University of Twente, Enschede, The Netherlands.; Department of Global Ecology, Carnegie Institution of Washington, 260 Panama St., Stanford, CA, 94305, USA.; van der Tol C; Geo-Information Science and Earth Observation, The University of Twente, P.O. Box 6-7500 AA, 7500 AE, Enschede, The Netherlands.; Yang X; Department of Earth, Environmental and Planetary Sciences, Brown University, P.O. Box 1846 324, Brook Street, Providence, RI, 02912, USA.; Guanter L; Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Telegrafenberg Building A 17, Room 20.22, 14473, Potsdam, Germany.; Damm A; Remote Sensing Laboratories, Department of Geography, University of Zurich, Irchel Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.; Baker I; Department of Atmospheric Science, Colorado State University, 200 West Lake Street, 1371 Campus Delivery, Fort Collins, CO, 80523-1371, USA.; Frankenberg C; Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA.
Source
Publisher: Blackwell Pub Country of Publication: England NLM ID: 9888746 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2486 (Electronic) Linking ISSN: 13541013 NLM ISO Abbreviation: Glob Chang Biol Subsets: MEDLINE
Subject
Language
English
Abstract
Several studies have shown that satellite retrievals of solar-induced chlorophyll fluorescence (SIF) provide useful information on terrestrial photosynthesis or gross primary production (GPP). Here, we have incorporated equations coupling SIF to photosynthesis in a land surface model, the National Center for Atmospheric Research Community Land Model version 4 (NCAR CLM4), and have demonstrated its use as a diagnostic tool for evaluating the calculation of photosynthesis, a key process in a land surface model that strongly influences the carbon, water, and energy cycles. By comparing forward simulations of SIF, essentially as a byproduct of photosynthesis, in CLM4 with observations of actual SIF, it is possible to check whether the model is accurately representing photosynthesis and the processes coupled to it. We provide some background on how SIF is coupled to photosynthesis, describe how SIF was incorporated into CLM4, and demonstrate that our simulated relationship between SIF and GPP values are reasonable when compared with satellite (Greenhouse gases Observing SATellite; GOSAT) and in situ flux-tower measurements. CLM4 overestimates SIF in tropical forests, and we show that this error can be corrected by adjusting the maximum carboxylation rate (Vmax ) specified for tropical forests in CLM4. Our study confirms that SIF has the potential to improve photosynthesis simulation and thereby can play a critical role in improving land surface and carbon cycle models.
(© 2015 John Wiley & Sons Ltd.)
(© 2015 John Wiley & Sons Ltd.)