Articles | Volume 21, issue 16
https://doi.org/10.5194/bg-21-3735-2024
https://doi.org/10.5194/bg-21-3735-2024
Research article
 | 
23 Aug 2024
Research article |  | 23 Aug 2024

Optimizing the terrestrial ecosystem gross primary productivity using carbonyl sulfide (COS) within a two-leaf modeling framework

Huajie Zhu, Xiuli Xing, Mousong Wu, Weimin Ju, and Fei Jiang

Data sets

Dataset for "Gross primary productivity of four European ecosystems constrained by joint CO2 and COS flux measurements" In Geophysical Research Letters Felix M. Spielmann et al. https://doi.org/10.5281/zenodo.3406990

Dataset for "Intercomparison of methods to estimate gross primary production based on CO2 and COS flux measurements" K.-M. Kohonen et al. https://doi.org/10.5281/zenodo.6940750

Large uptake of atmospheric OCS observed at a moist old growth forest: Controls and implications for carbon cycle applications (Version 1) B. Rastogi et al. https://doi.org/10.5281/zenodo.1422820

GLOBMAP global Leaf Area Index since 1981 (Version 3.0) R. Liu et al. https://doi.org/10.5281/zenodo.4700264

Fluxes of Carbonyl Sulfide at Harvard Forest EMS Tower since 2010 ver 4 R. Commane et al. https://doi.org/10.6073/pasta/7ed7b4d1fc7ad303998e76143a3b279a

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

FLUXNET2015 AT-Neu Neustift G. Wohlfahrt et al. https://doi.org/10.18140/FLX/1440121

FLUXNET2015 DK-Sor Soroe A. Ibrom and K. Pilegaard https://doi.org/10.18140/FLX/1440155

Drought-2018 ecosystem eddy covariance flux product from Majadas del Tietar North M. Migliavacca et al. https://doi.org/10.18160/FDSD-GVRS

FLUXNET2015 FI-Hyy Hyytiala I. Mammarella et al. https://doi.org/10.18140/FLX/1440158

FLUXNET2015 US-Ha1 Harvard Forest EMS Tower (HFR1) Harvard University https://doi.org/10.18140/FLX/1440071

AmeriFlux FLUXNET-1F US-Ha1 Harvard Forest EMS Tower (HFR1) J. W. Munger https://doi.org/10.17190/AMF/1871137

AmeriFlux BASE US-Wrc Wind River Crane Site S. Wharton https://doi.org/10.17190/AMF/1246114

Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance (https://doi.org/10.12041/geodata.GLASS_LAI_MODIS(0.05D).ver1.db) Z. Xiao et al. https://doi.org/10.1109/TGRS.2016.2560522

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Short summary
Ecosystem carbonyl sulfide (COS) fluxes were employed to optimize GPP estimation across ecosystems with the Biosphere-atmosphere Exchange Process Simulator (BEPS), which was developed for simulating the canopy COS uptake under its state-of-the-art two-leaf modeling framework. Our results showcased the efficacy of COS in improving model prediction and reducing prediction uncertainty of GPP and enhanced insights into the sensitivity, identifiability, and interactions of parameters related to COS.
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