Published on 24 September 2021 |
Urban-PLUMBER: Flux tower data archive – PL-Narutowicza
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# Urban-PLUMBER site data collection Files in this folder are associated with the manuscript: > "Harmonized, gap-filled dataset from 20 urban flux tower sites" Use of any data must give credit through citation of the above manuscript and other sources as appropriate.
We recommend data users consult with site contributing authors and/or the coordination team in the project planning stage.
Relevant contacts are included in timeseries metadata. For site information and timeseries plots see https://urban-plumber.github.io/sites. For processing code see https://github.com/matlipson/urban-plumber_pipeline. ### Included files Within each site folder: - index.html: A summary page with site characteristics and timeseries plots.
- SITENAME_sitedata_vX.csv: comma seperated file for numerical site characteristics e.g. location, surface cover fraction etc.
- timeseries/ (following files available as netCDF and txt)
- SITENAME_raw_observations_vX: site observed timeseries before project-wide quality control.
- SITENAME_clean_observations_vX: site observed timeseries after project-wide quality control.
- SITENAME_metforcing_vX: site observed timeseries after project-wide quality control and gap filling.
- SITENAME_era5_corrected_vX: site ERA5 surface data (1990-2020) with bias corrections as applied in the final dataset.
- log_processing_SITENAME_vX.txt: a log of the print statements through running the create_dataset_SITENAME scripts. ### Authors Mathew Lipson, Sue Grimmond, Martin Best, Andreas Christen, Andrew Coutts, Ben Crawford, Bert Heusinkveld,
Erik Velasco, Helen Claire Ward, Hirofumi Sugawara, Je-Woo Hong, Jinkyu Hong, Jonathan Evans, Joseph McFadden,
Keunmin Lee, Krzysztof Fortuniak, Leena Järvi, Matthias Roth, Nektarios Chrysoulakis, Nigel Tapper, Oliver Michels,
Simone Kotthaus, Stevan Earl, Sungsoo Jo, Valéry Masson, Winston Chow, Wlodzimierz Pawlak, Yeon-Hee Kim. Corresponding author: Mathew Lipson <[email protected]>
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Publication Details
Subfield
Information Systems
Field
Computer Science
Domain
Physical Sciences
Confidence Score
35%
Source
Scholar Data Model