This JGR_RetrievalMethodsComparison_readme.txt file was generated on 2020-03-30 by Christine Y. Chang GENERAL INFORMATION 1. Title of Dataset: Data from: Systematic assessment of retrieval methods for canopy far-red solar-induced chlorophyll fluorescence (SIF) using automated high-frequency field spectroscopy 2. Author Information A. Principal Investigator Contact Information Name: Ying Sun Institution: Cornell University Address: 306 Tower Road, 1023 Bradfield Hall Email: ys776@cornell.edu B. Co-investigator Contact Information Name: Christine Y. Chang Institution: Cornell University Address: 306 Tower Road, 1019 Bradfield Hall Email: cyc54@cornell.edu 3. Date of data collection : 2018-07-06 to 2018-10-10 4. Geographic location of data collection : 42.714413, -76.653248 5. Information about funding sources that supported the collection of the data: USDA-NIFA Postdoctoral Fellowship to CYC, Grant #: 2018-67012-27985 USDA-NIFA Hatch Award to YS, Grant #: 1014740 This research is also supported by the US Department of Energy (DOE), Office of Science, Biological and Environmental Research Program. ORNL is managed by UT-Battelle, LLC, for DOE under contract DE-AC05-00OR22725. SHARING/ACCESS INFORMATION 1. Licenses/restrictions placed on the data: CC-BY 2. Links to publications that cite or use the data: Chang C.Y., Guanter L., Frankenberg C., Köhler P., Gu L., Magney T.S., Grossmann K., Sun Y. (2020) Systematic assessment of retrieval methods for canopy far-red solar-induced chlorophyll fluorescence (SIF) using high-frequency automated field spectroscopy. Journal of Geophysical Research: Biogeosciences. 125:e2019JG005533 https://doi.org/10.1029/2019JG005533 3. Links to other publicly accessible locations of the data: 4. Links/relationships to ancillary data sets: Matlab code for SIF retrieval methods can be found here: Christine Yao-Yun Chang. (2020). SunCornell/SIF_retrieval_methods: SIF_retrieval_methods (Version v1.0).[code] Zenodo. https://doi.org/10.5281/zenodo.3759965 5. Was data derived from another source? No 6. Recommended citation for this dataset: Christine Y. Chang, Jeffrey Melkonian, Susan J. Riha, Christian Frankenberg, Luis Guanter, Lianhong Gu, Ying Sun. (2020) Data from: Systematic assessment of retrieval methods for canopy far-red solar-induced chlorophyll fluorescence (SIF) using automated high-frequency field spectroscopy. [dataset] Cornell University Library eCommons Repository. https://doi.org/10.7298/wqx5-ba07 DATA & FILE OVERVIEW 1. File List: SCOPE_input_data/ECtower_data.csv - SCOPE inputs measured from eddy covariance tower SCOPE_input_data/LAI.csv - SCOPE optional input for leaf area index SCOPE_input_data/canopy_height.csv - SCOPE optional input for canopy height Aurora2018_SIF.csv - measurements from SIF tower and SIF obtained using five retrieval methods 2. Relationship between files, if important: 3. Additional related data collected that was not included in the current data package: 4. Are there multiple versions of the dataset? No METHODOLOGICAL INFORMATION 1. Description of methods used for collection/generation of data: See associated manuscript section 2. 2. Methods for processing the data: EC data are provided as half-hourly averages. SIF data are presented as instantaneous measurements. Retrievals were performed using the methods provided in the associated manuscript, section 2.1. 3. Instrument- or software-specific information needed to interpret the data: n/a EC dataset was used for SCOPE simulations as described in manuscript section 2.3. 4. Standards and calibration information, if appropriate: See associated manuscript section 2.2.1. 5. Environmental/experimental conditions: See associated manuscript section 2.2.1. 6. Describe any quality-assurance procedures performed on the data: See associated manuscript section 2.4.1. 7. People involved with sample collection, processing, analysis and/or submission: Chang, Christine Y. Melkonian, Jeffrey Riha, Susan J. Frankenberg, Christian Guanter, Luis Gu, Lianhong Sun, Ying DATA-SPECIFIC INFORMATION FOR: SCOPE_input_data/ECtower_data.csv 1. Number of variables: 10 2. Number of cases/rows: 4512 3. Variable List: year : year number t_ : decimal Julian day number ea_ : vapor pressure in hPa p_ : air pressure in hPa Rin_ : broadband incoming shortwave radiation (0.4-3um)in W m-2 Rli_ : broadband incoming longwave radiation (3-50um) in W m-2 Ta_ : air temperature in degrees Celsius u_ : wind speed in m s-1 tts : solar inclination in degrees CO2 : ambient CO2 concentration in mg m-3 4. Missing data codes: NaN : missing value 5. Specialized formats or other abbreviations used: n/a DATA-SPECIFIC INFORMATION FOR: SCOPE_input_data/LAI.csv 1. Number of variables: 2 2. Number of cases/rows: 9 3. Variable List: DOY : Julian day number LAI : leaf area index in m2 m-2 4. Missing data codes: n/a 5. Specialized formats or other abbreviations used: n/a DATA-SPECIFIC INFORMATION FOR: SCOPE_input_data/canopy_height.csv 1. Number of variables: 2 2. Number of cases/rows: 91 3. Variable List: DOY : Julian day number height_m : canopy height in m 4. Missing data codes: n/a 5. Specialized formats or other abbreviations used: n/a DATA-SPECIFIC INFORMATION FOR: Aurora2018_SIF.csv 1. Number of variables: 13 2. Number of cases/rows: 57657 3. Variable List: DOY : decimal Julian day number Time_h : decimal time in hours PAR : photosynthetically active radiation in umol m-2 s-1 Tair_C : air temperature in degrees Celsius RH_percent : relative humidity in percent sza_degrees : solar zenith angle in degrees 3FLD : SIF retrieved using modified Fraunhofer Line Discrimination method with anchors at 759nm, 761nm, 770nm, in W um-2 nm-1 sr-1 SFM_O2A : SIF retrieved using Spectral Fitting Method, using the standard O2A fitting window 759-767.76nm, in W um-2 nm-1 sr-1 SFM_O2A_adjusted : SIF retrieved using Spectral Fitting Method, using the narrow O2A fitting window 759.5-761.5nm, in W um-2 nm-1 sr-1 SVD_O2A : SIF retrieved using Singular Vector Decomposition, using the standard O2A fitting window 759-767.76nm and all reference spectra collected during each day for training the SVD, in W um-2 nm-1 sr-1. Uses automated optimization to determine the polynomial degree used to model the first and second SVs, and number of SVs to retain. SVD_O2A_adjusted_local : SIF retrieved using Singular Vector Decomposition, using the standard O2A fitting window 759.5-761.5nm and a temporally local 5-spectra moving window (2 spectra before, current, and 2 spectra after the spectrum to be solved) for training the SVD, in W um-2 nm-1 sr-1. Uses automated optimization to determine the polynomial degree used to model the first and second SVs, and number of SVs to retain. SVD_Fraun : SIF retrieved using Singular Vector Decomposition, using the Fraunhofer fitting window 745-759nm and all reference spectra collected during each day for training the SVD, in W um-2 nm-1 sr-1. Uses automated optimization to determine the polynomial degree used to model the first and second SVs, and number of SVs to retain. DOAS_Fraun : SIF retrieved using Differential Optical Absorption Spectroscopy, using the Fraunhofer fitting window 745-759nm, in W um-2 nm-1 sr-1. 4. Missing data codes: n/a 5. Specialized formats or other abbreviations used: n/a