Uncertainty analysis of gross primary production partitioned from net ecosystem exchange measurements

DOI

This research estimated the uncertainty in gross primary production (GPP) at half hourly time steps, using a non-rectangular hyperbola (NRH) model for its separation from the flux tower measurements of net ecosystem exchange (NEE) at the Speulderbos forest site, The Netherlands. This provided relevant data for the calibration and validation of process-based simulators.

A file list and description of data (i.e., metadata) in each file are provided in the uploaded pdf file "FluxPartitioning_NEEdata_codebook_Version1.pdf". This pdf file also provides a brief description of the methods adopted in this research. 

Identifier
DOI https://doi.org/10.17026/DANS-X9T-NKBZ
Metadata Access https://phys-techsciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/DANS-X9T-NKBZ
Provenance
Creator R. Raj
Publisher DANS Data Station Physical and Technical Sciences
Contributor M Th Koelen; N.A.S. Hamm (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands); C.  van der Tol (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands); A. Stein (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands)
Publication Year 2016
Rights CC0-1.0; info:eu-repo/semantics/restrictedAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess false
Contact M Th Koelen (Faculty of Geo-Information Science and Earth Observation)
Representation
Resource Type Dataset
Format application/zip; application/pdf; text/csv; text/tab-separated-values; text/plain; text/comma-separated-values
Size 24547; 515444; 20160870; 21289458; 690376; 8482; 2859; 701; 766; 20157373; 21308612; 690459; 8484; 2862; 566962; 1283555; 599441
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences