Harmonized gap-filled datasets from 20 urban flux tower sites

Lipson, Mathew; Grimmond, Sue; Best, Martin; Chow, Winston T.L.; Christen, Andreas; Chrysoulakis, Nektarios; Coutts, Andrew; Crawford, Ben; Earl, Stevan; Evans, Jonathan ORCID: https://orcid.org/0000-0003-4194-1416; Fortuniak, Krzysztof; Heusinkveld, Bert G.; Hong, Je-Woo; Hong, Jinkyu; Järvi, Leena; Jo, Sungsoo; Kim, Yeon-Hee; Kotthaus, Simone; Lee, Keunmin; Masson, Valéry; McFadden, Joseph P.; Michels, Oliver; Pawlak, Wlodzimierz; Roth, Matthias; Sugawara, Hirofumi; Tapper, Nigel; Velasco, Erik; Ward, Helen Claire. 2022 Harmonized gap-filled datasets from 20 urban flux tower sites. Earth System Science Data, 14 (11). 5157-5178. https://doi.org/10.5194/essd-14-5157-2022

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Abstract/Summary

A total of 20 urban neighbourhood-scale eddy covariance flux tower datasets are made openly available after being harmonized to create a 50 site–year collection with broad diversity in climate and urban surface characteristics. Variables needed as inputs for land surface models (incoming radiation, temperature, humidity, air pressure, wind and precipitation) are quality controlled, gap-filled and prepended with 10 years of reanalysis-derived local data, enabling an extended spin up to equilibrate models with local climate conditions. For both gap filling and spin up, ERA5 reanalysis meteorological data are bias corrected using tower-based observations, accounting for diurnal, seasonal and local urban effects not modelled in ERA5. The bias correction methods developed perform well compared to methods used in other datasets (e.g. WFDE5 or FLUXNET2015). Other variables (turbulent and upwelling radiation fluxes) are harmonized and quality controlled without gap filling. Site description metadata include local land cover fractions (buildings, roads, trees, grass etc.), building height and morphology, aerodynamic roughness estimates, population density and satellite imagery. This open collection can help extend our understanding of urban environmental processes through observational synthesis studies or in the evaluation of land surface environmental models in a wide range of urban settings. These data can be accessed from https://doi.org/10.5281/zenodo.7104984 (Lipson et al., 2022).

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.5194/essd-14-5157-2022
UKCEH and CEH Sections/Science Areas:	Hydro-climate Risks (Science Area 2017-)
ISSN:	1866-3508
Additional Information. Not used in RCUK Gateway to Research.:	Open Access paper - full text available via Official URL link.
NORA Subject Terms:	Atmospheric Sciences
Related URLs:	Dataset
Date made live:	06 Jan 2023 17:55 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/533838

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