Articles | Volume 14, issue 11
https://doi.org/10.5194/essd-14-5157-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5157-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
22 Nov 2022
Data description paper |
| 22 Nov 2022
| 22 Nov 2022
Harmonized gap-filled datasets from 20 urban flux tower sites
Australian Research Council (ARC) Centre of Excellence for Climate
System Science, Climate Change Research Centre, Level 4, Mathews Building,
UNSW Sydney, New South Wales 2052, Australia
Department of Meteorology, University of Reading, Reading, RG6 6ET,
United Kingdom
Sue Grimmond
Department of Meteorology, University of Reading, Reading, RG6 6ET,
United Kingdom
Martin Best
Met Office, Fitzroy Road, Exeter, Devon, EX1 3PB, United Kingdom
Winston T. L. Chow
College of Integrative Studies, Singapore Management University, Singapore, Singapore
Andreas Christen
Environmental Meteorology, Institute of Earth and Environmental
Sciences, Faculty of Environment and Natural Resources, University of
Freiburg, Freiburg, Germany
Nektarios Chrysoulakis
Foundation for Research and Technology Hellas, Institute of Applied
and Computational Mathematics, Remote Sensing Lab, Heraklion, Greece
Andrew Coutts
School of Earth, Atmosphere and Environment, Monash University,
Melbourne, Australia
Ben Crawford
Geography and Environmental Sciences, University of Colorado, Denver, Colorado, USA
Stevan Earl
Global Institute of Sustainability and Innovation, Arizona State
University, Tempe, Arizona, USA
Jonathan Evans
UK Centre for Ecology & Hydrology, Crowmarsh Gifford, Wallingford, United Kingdom
Krzysztof Fortuniak
Department of Meteorology and Climatology, University of Lodz, Lodz, Poland
Bert G. Heusinkveld
Department of Meteorology and Air Quality, Wageningen University, Wageningen, the Netherlands
Je-Woo Hong
Korea Environment Institute, Sejong, Republic of Korea
Jinkyu Hong
Ecosystem–Atmosphere Process Lab, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Leena Järvi
Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
Sungsoo Jo
Ecosystem-Atmosphere Process Lab, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Yeon-Hee Kim
National Institute of Meteorological Sciences, Korea Meteorological Administration, Jeju, Republic of Korea
Simone Kotthaus
Institut Pierre Simon Laplace (IPSL), CNRS, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau CEDEX, France
Keunmin Lee
Ecosystem-Atmosphere Process Lab, Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
Valéry Masson
Centre National de Recherches Météorologiques, University of Toulouse, Météo-France and CNRS, Toulouse, France
Joseph P. McFadden
Department of Geography and Earth Research Institute, University of California, Santa Barbara, USA
Oliver Michels
Environmental Meteorology, Albert-Ludwigs-University, Freiburg,
Germany
Wlodzimierz Pawlak
Department of Meteorology and Climatology, University of Lodz, Lodz, Poland
Matthias Roth
Department of Geography, National University of Singapore, Singapore, Singapore
Hirofumi Sugawara
Department of Earth and Ocean Sciences, National Defense Academy of Japan, Yokosuka, Japan
Nigel Tapper
School of Earth, Atmosphere and Environment, Monash University,
Melbourne, Australia
Erik Velasco
Molina Center for Energy and the Environment (MCE2), Boston, USA
Helen Claire Ward
Department of Atmospheric and Cryospheric Sciences, University of
Innsbruck, Innsbruck, Austria
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Cited
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- A comparative analysis of machine learning approaches to gap filling meteorological datasets B. Lalic et al. 10.1007/s12665-024-11982-8
- Estimation of Urban Evapotranspiration at High Spatiotemporal Resolution and Considering Flux Footprints L. Zhou et al. 10.3390/rs15051327
- SLUCM+BEM (v1.0): a simple parameterisation for dynamic anthropogenic heat and electricity consumption in WRF-Urban (v4.3.2) Y. Takane et al. 10.5194/gmd-17-8639-2024
- Reanalysis-based mesoscale wind maps for the design of structures and infrastructures with an application to Italy L. Raffaele et al. 10.1016/j.jweia.2024.105844
- Satellite observations reveal a decreasing albedo trend of global cities over the past 35 years S. Wu et al. 10.1016/j.rse.2024.114003
- City-wide, high-resolution mapping of evapotranspiration to guide climate-resilient planning S. Vulova et al. 10.1016/j.rse.2023.113487
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- Urbanization alters atmospheric dryness through land evapotranspiration L. Hao et al. 10.1038/s41612-023-00479-z
- Urban–rural interface dominates the effects of urbanization on watershed energy and water balances in Southern China K. Jin et al. 10.1007/s10980-023-01648-4
- An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions J. McNorton et al. 10.1029/2022MS003286
- Evaluation of 30 urban land surface models in the Urban‐PLUMBER project: Phase 1 results M. Lipson et al. 10.1002/qj.4589
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10 citations as recorded by crossref.
- Decarbonisation technologies can halve the nonlinear increase in electricity demand in densely populated areas due to climate change Y. Takane et al. 10.1016/j.scs.2023.104966
- A comparative analysis of machine learning approaches to gap filling meteorological datasets B. Lalic et al. 10.1007/s12665-024-11982-8
- Estimation of Urban Evapotranspiration at High Spatiotemporal Resolution and Considering Flux Footprints L. Zhou et al. 10.3390/rs15051327
- SLUCM+BEM (v1.0): a simple parameterisation for dynamic anthropogenic heat and electricity consumption in WRF-Urban (v4.3.2) Y. Takane et al. 10.5194/gmd-17-8639-2024
- Reanalysis-based mesoscale wind maps for the design of structures and infrastructures with an application to Italy L. Raffaele et al. 10.1016/j.jweia.2024.105844
- Satellite observations reveal a decreasing albedo trend of global cities over the past 35 years S. Wu et al. 10.1016/j.rse.2024.114003
- City-wide, high-resolution mapping of evapotranspiration to guide climate-resilient planning S. Vulova et al. 10.1016/j.rse.2023.113487
- Simulating urban surface energy balance of an academic campus and surroundings in Mumbai, India M. Gupta et al. 10.1016/j.uclim.2024.102044
- Urbanization alters atmospheric dryness through land evapotranspiration L. Hao et al. 10.1038/s41612-023-00479-z
- Urban–rural interface dominates the effects of urbanization on watershed energy and water balances in Southern China K. Jin et al. 10.1007/s10980-023-01648-4
3 citations as recorded by crossref.
- An Urban Scheme for the ECMWF Integrated Forecasting System: Global Forecasts and Residential CO2 Emissions J. McNorton et al. 10.1029/2022MS003286
- Evaluation of 30 urban land surface models in the Urban‐PLUMBER project: Phase 1 results M. Lipson et al. 10.1002/qj.4589
- Harmonized gap-filled datasets from 20 urban flux tower sites M. Lipson et al. 10.5194/essd-14-5157-2022
Latest update: 13 Dec 2024
Short summary
We describe a new openly accessible collection of atmospheric observations from 20 cities around the world, capturing 50 site years. The observations capture local meteorology (temperature, humidity, wind, etc.) and the energy fluxes between the land and atmosphere (e.g. radiation and sensible and latent heat fluxes). These observations can be used to improve our understanding of urban climate processes and to test the accuracy of urban climate models.
We describe a new openly accessible collection of atmospheric observations from 20 cities around...
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