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Harmonized gap-filled datasets from 20 urban flux tower sites.

Authors :
Lipson, Mathew
Grimmond, Sue
Best, Martin
Chow, Winston T. L.
Christen, Andreas
Chrysoulakis, Nektarios
Coutts, Andrew
Crawford, Ben
Earl, Stevan
Evans, Jonathan
Fortuniak, Krzysztof
Heusinkveld, Bert G.
Hong, Je-Woo
Hong, Jinkyu
Järvi, Leena
Jo, Sungsoo
Kim, Yeon-Hee
Kotthaus, Simone
Lee, Keunmin
Masson, Valéry
Source :
Earth System Science Data. 2022, Vol. 14 Issue 11, p5157-5178. 22p.
Publication Year :
2022

Abstract

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). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18663508
Volume :
14
Issue :
11
Database :
Academic Search Index
Journal :
Earth System Science Data
Publication Type :
Academic Journal
Accession number :
160626534
Full Text :
https://doi.org/10.5194/essd-14-5157-2022