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12 results for “FLUXNET”
GPP at FLUXNET Tier 1 sites from P-model
<p>Gross primary production, simulated by the P-model for each FLUXNET 2015 Tier 1 site. The model was driven by site-specific meteorological forcing and MODIS FPAR, extracted for the pixel corresponding to the site location.</p> <p>The CSV files contain simulated GPP values from different model setups conducted with the P-model and used for the publication Stocker et al. <em>Geosci. Mod. Dev. </em>(in review). One file is given for each temporal aggregation level (daily, 8-daily, annual, spatial [= mean annual value by site], and mean seasonal cycle [= mean per day-of-year]. Each file contains output from all model setups presented in Stocker et al. (2019), as given by column <em>setup</em>.</p> <p>The data differs slightly for each file:</p> <p><strong>Daily</strong> gpp_pmodel_fluxnet2015_stocker19gmd_daily.csv:</p> <ul> <li><em>sitename</em>: A character specifying the site ID following the naming given by FLUXNET 2015.</li> <li><em>date: </em>YYYY-MM-DD), date_start (in _8daily, YYYY-MM-DD specifying the first day of the respective 8-day period), year (in _annual, YYYY), doy (in __meanseason, specifying the day-of-year),</li> <li><em>gpp</em>: Simulated gross primary production, in units of g C m<sup>-2</sup> d<sup>-1</sup></li> <li><em>setup</em>: A character specifying the model setup name used in Stocker et al. (2019). See also below.</li> </ul> <p><strong>8-daily</strong> gpp_pmodel_fluxnet2015_stocker19gmd_8daily.csv:</p> <ul> <li><em>sitename</em>: A character specifying the site ID following the naming given by FLUXNET 2015.</li> <li><em>date_start</em> : YYYY-MM-DD specifying the first day of the respective 8-day period</li> <li><em>gpp</em>: Simulated gross primary production, in units of g C m<sup>-2</sup> d<sup>-1</sup></li> <li><em>setup</em>: A character specifying the model setup name used in Stocker et al. (2019). See also below.</li> </ul> <p><strong>Annual</strong> gpp_pmodel_fluxnet2015_stocker19gmd_annual.csv:</p> <ul> <li><em>sitename</em>: A character specifying the site ID following the naming given by FLUXNET 2015.</li> <li><em>year: </em>YYYY</li> <li><em>gpp</em>: Simulated gross primary production, in units of g C m<sup>-2</sup> yr<sup>-1</sup></li> <li><em>setup</em>: A character specifying the model setup name used in Stocker et al. (2019). See also below.</li> </ul> <p><strong>Spatial</strong> gpp_pmodel_fluxnet2015_stocker19gmd_spatial.csv:</p> <ul> <li><em>sitename</em>: A character specifying the site ID following the naming given by FLUXNET 2015.</li> <li><em>gpp</em>: Simulated gross primary production, in units of g C m<sup>-2</sup> yr<sup>-1</sup></li> <li><em>setup</em>: A character specifying the model setup name used in Stocker et al. (2019). See also below.</li> </ul> <p><strong>Mean seasonal cycle</strong> gpp_pmodel_fluxnet2015_stocker19gmd_meanseason.csv:</p> <ul> <li><em>sitename</em>: A character specifying the site ID following the naming given by FLUXNET 2015.</li> <li><em>doy: </em>day-of-year</li> <li><em>gpp</em>: Simulated gross primary production, in units of g C m<sup>-2</sup> d<sup>-1</sup></li> <li><em>setup</em>: A character specifying the model setup name used in Stocker et al. (2019). See also below.</li> </ul> <p> </p>
Modified half-hourly FLUXNET dataset for 10 Boreal forest sites (CA-Obs,CA-Ojp,CA-Qfo,FI-Hyy,FI-Ken,FI-Let,FI-Sod,RU-Fyo,RU-Zot,US-Prr)
<p>This set contains half-hourly driving data and observations used in the simulations described in gmd-2018-313 (doi:10.5194/gmd-2018-313). Originally, this data is part of the FLUXNET2015 dataset (doi:10.17616/R36K9X). We have quality checked and gap-filled this data to suit the simulations.</p> <p>The upload contains site specific csv-files, a data header that is common to all files and a README. The actual data contains half-hourly values for:</p> <ul> <li>gross primary production (GPP, mol m<sup>-2 </sup>s<sup>-1</sup>)</li> <li>evapotranspiration (ET, kg m<sup>-2 </sup>s<sup>-1</sup>)</li> <li>air temperature (air_temp, degrees celcius)</li> <li>air pressure (air_pressure, Pa)</li> <li>precipitation (precip, kg m<sup>-2 </sup>s<sup>-1</sup>)</li> <li>specific humidity (qair, kg<sup> </sup>kg<sup>-1</sup>)</li> <li>wind speed (wspeed, m s<sup>-1</sup>)</li> <li>CO2 concentration (CO2, mol mol<sup>-1</sup>)</li> <li>shortwave radiation (shortwave, W m<sup>-2</sup>)</li> <li>longwave radiation (longwave, W m<sup>-2</sup>)</li> <li>potential shortwave radiation (mpot, W m<sup>-2</sup>)</li> </ul> <p>The sites (named by their FLUXNET identifier) and the years of data in this set are:</p> <ul> <li>CA-Obs (Saskatchewan) 1999-2006</li> <li>CA-Ojp (Saskatchewan) 2004-2006</li> <li>CA-Qfo (Quebec) 2003-2010</li> <li>FI-Hyy (Hyytiälä) 1999-2006</li> <li>FI-Ken (Kenttärova) 2003-2010</li> <li>FI-Let (Lettosuo) 2010-2012</li> <li>FI-Sod (Sodankylä) 2001-2008</li> <li>RU-Fyo (Fyodorkovskoye) 2002-2009</li> <li>RU-Zot (Zotino) 2002-2004</li> <li>US-Prr (Poker Flat) 2011-2013</li> </ul>
Wet surface evaporation with FLUXNET data
<p>FLUXNET data from 171 stations and software to process it for use in the complementary relationship of evaporation. This repo is intended to allow users to reproduce the analyses from manuscript under review in the journal HESS (Hydrology and Earth System Science). The software and the csv files for 171 stations are included. All data files were obtained from the fluxnet.org web site. Files are all csv. Fluxnet files contain the daily (filename contains "DD") and monthly (filename contains, "MM") average flux data. Sensible and latent heat fluxes are from eddy covariance measurements.</p> <p>The goal of the project is to gain insight into the meaning of the Priestley-Taylor wet-surface evaporation parameter alpha. Four hypotheses regarding how to estimate alpha are proposed in the manuscript.</p> <p>The manuscript (still under review) describing the study in detail is at <a href="https://egusphere.copernicus.org/preprints/2022/egusphere-2022-712/egusphere-2022-712.pdf">https://egusphere.copernicus.org/preprints/2022/egusphere-2022-712/egusphere-2022-712.pdf</a></p> <p>Co-authors on the paper are R. Crago, J. Szilagyi and R. J. Qualls</p> <p>Software was written by R. Crago</p> <p>I will update the link if the paper gets accepted.</p> <p>Instructions: The Python code is in the 'Wet_surface_evap_public.ipynb' file. The other uploaded files contain data. The data should be placed in a suitable folder, and the code in the first few cells should be modified so that the code looks into the directory in which your data are stored. This runs well in Google's Colab environment. The data files and the ipynb file can be uploaded to your google drive. The ipynb file is already in the form of a Jupyter notebook, which is what Colab uses.</p>
Ecosystem Transpiration from FLUXNET
<p>Estimates of transpiration for eddy covariance sites associated with <a href="https://fluxnet.org">FLUXNET</a>. A tutorial explaining how this data was produced can be found in <a href="https://github.com/jnelson18/ecosystem-transpiration">the associated repository</a>. Questions and comments can be directed to the author: jnelson@bgc-jena.mpg.de</p>
FLUXNET Marconi Conference Gap-Filled Flux and Meteorology Data, 1992-2000
Fluxes of carbon dioxide, water vapor, and energy exchange have been measured at 38 forest, grassland, and crop sites as part of the EUROFLUX and AmeriFlux projects. A total of 97 site-years of data were compiled, primarily between 1996 and 1998 but also for 1992-1995 and 1999-2000. Half-hour flux and meteorology measurements are included plus the gap-filled half-hour estimates and aggregations to day and night, weekly, monthly, and annual periods. The FLUXNET 2000 Synthesis Workshop was held at the Marconi Conference Center, Marshall, California, June 11-14, 2000. The Marconi Flux Data Collection was compiled to aid in exploring the interactions between the terrestrial biosphere and the overlying atmosphere through carbon, water, and energy exchanges. The workshop resulted in several studies to synthesize and interpret differences and similarities in long-term measurements of carbon dioxide, water vapor, and energy exchanges between vegetation and the atmosphere for a spectrum of ecosystems. A series of synthesis papers based on these data and studies was published in a special issue of the Agriculture and Forest Meteorology, Volume 113, 2002. The papers are listed in the reference section. This data product is being archived as a record of the data used the AFM special issue. Updates and revisions to the data are available at the FLUXNET web site.The eddy covariance technique is used for long-term continuous measurements of mass and energy fluxes to capture seasonal dynamics and allow for a meaningful scaling with respect to time. The equipment and methodology were standardized among sites by using common software and instrumentation. Comparisons of ecosystem fluxes among sites are usually performed on annual or monthly sums calculated on complete data records; however, the average site data coverage during a year was only 65%. Therefore, development and application of robust and consistent data gap-filling methods was required before fluxes could be calculated. One of the outcomes of the FLUXNET project was computer applications to process the data into complete, consistent, quality assured, and documented data sets (Falge et al. 2001a,b). Gap-filled flux data from four different filling methods are reported. Selected meteorological parameters were also gap filled to support flux estimating methods and are reported along with non-filled meteorological data. Note that the measured/estimated CO2 fluxes and storage fluxes were summed into net ecosystem exchange (NEE), and ONLY NEE data are reported.
Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001-2018
This dataset provides monthly globally gridded freshwater wetland methane emissions from 2001-2018 in nmol CH4 m-2 s-1, g C-CH4 m-2 d-1, and TgCH4 grid cell-1 month-1. The data were derived from a six-predictor random forest upscaling model (UpCH4) trained on 119 site-years of eddy covariance CH4 flux data from 43 freshwater wetland sites covering bog (8), fen (8), marsh (10), swamp (6), and wet tundra (11) wetland classes and distributed across Arctic-boreal (20), temperate (16), and (sub)tropical (7) climate zones. Weekly mean CH4 fluxes were computed from half-hourly FLUXNET-CH4 Version 1.0 fluxes. Each grid cell CH4 flux prediction was weighted by fractional grid cell wetland extent to estimate CH4 emissions using the primary global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) product and an alternate Global Inundation Estimate from Multiple Satellites GIEMS version 2 global wetland map. Both WAD2M and GIEMS-2 maps were modified with several correction data layers to represent the monthly area covered by vegetated wetlands, excluding open water and coastal wetlands. The data products are: mean daily fluxes with no adjustment for wetland area (i.e., flux densities assuming hypothetical 100% wetland cover); mean daily fluxes adjusting for WAD2M or GIEMS-2 wetland area; and by-pixel monthly sum of freshwater wetland methane emissions adjusting for WAD2M or GIEMS-2 wetland area. The data are provided in NetCDF4 format.
Fluxnet: Archived Website Including Site and Investigator Information
This dataset contains an archived copy of the fluxnet.ornl.gov website as of September 2017. This archived website is provided for informational purposes only. The last updates to the website and the underlying database were made in October 2016. Support for the Fluxnet project and website was transitioned to http://fluxnet.fluxdata.org in September 2017. Please see http://fluxnet.fluxdata.org/ for information on site locations, data availability, and to add or update a flux tower site.
FLUXNET Research Network Site Characteristics, Investigators, and Bibliography, 2016
FLUXNET is a global network of micrometeorological tower sites that use eddy covariance methods to measure the exchanges of carbon dioxide, water vapor, and energy between terrestrial ecosystems and the atmosphere. This dataset provides information from the ORNL DAAC-hosted FLUXNET site database which was discontinued in 2016. The files provided contain a list of investigators associated with each tower site, site locations and environmental data, and a bibliography of papers that used FLUXNET data. For more up to date information on FLUXNET sites, see http://fluxnet.fluxdata.org/.
FLUXNET Canada Research Network - Canadian Carbon Program Data Collection, 1993-2014
FLUXNET Canada is a Fluxnet research network comprised of the Fluxnet-Canada Research Network (FCRN) and the Canadian Carbon Program (CCP) operating from 1993 through 2014. It was a national research network of university and government scientists studying the influence of climate and disturbance on carbon cycling along an east-west transect of Canadian forest and peat land ecosystems. The data provided are measured and modeled results as obtained from the site investigators. They were not standardized and quality-controlled. Data include: atmospheric carbon dioxide (CO2) and water vapor fluxes and many ancillary meteorological variables; soil CO2 efflux and soil moisture; stable carbon isotopes; site soil and vegetation characteristics, plus documentation and descriptions for the 32 tower sites across 12 flux research stations. The time period is from 1993 - 2014; most reported data for a site does not cover the entire period.
Global MODIS and FLUXNET-derived Daily Gross Primary Production, V2
This dataset provides global gridded daily estimates of gross primary production (GPP) and uncertainties at 0.05-degree resolution for the period 2000-03-01 to the recent past. The GPP was derived from the MODerate-resolution Imaging Spectroradiometer (MODIS) instruments on the NASA Terra and Aqua satellites using the MCD43C4v006 Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectances (NBAR) product as input to neural networks that were used to globally upscale GPP estimated from selected FLUXNET 2015 eddy covariance tower sites. Additional data will be added periodically.
MODIS/Terra Atmosphere FluxNet Subsetting Product
The MODIS/Terra Atmosphere FluxNet Subsetting Product (MODFNSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over a global network of micrometeorological flux measurement (FLUXNET) sites. The process of generating cutouts for these sites involves locating and identifying a subset of sites taken from a global FLUXNET that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MODFNSS data set consists of subsets for around 400 sites out of the total flux tower sites around the globe. There is one file per site with around 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc.
MODIS/Aqua Atmosphere FluxNet Subsetting Product
The MODIS/Aqua Atmosphere FluxNet Subsetting Product (MODFNSS) consists of MODIS Atmosphere and Ancillary Products subsets that are generated over a global network of micrometeorological flux measurement (FLUXNET) sites. The process of generating cutouts for these sites involves locating and identifying a subset of sites taken from a global FLUXNET that are within the spatial coverage of a 5 minute Level 2 MODIS granule and extracting 0.5 x 0.5 degree cutouts. The MODFNSS data set consists of subsets for around 400 sites out of the total flux tower sites around the globe. There is one file per site with around 55 Science Data Sets (SDS) such as at-aperture radiances for 36 discrete MODIS bands, Cloud Mask, and Water Vapor, etc
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