Dataset
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.0.2
Abstract
This dataset contains the Lakes Essential Climate Variable, which is comprised of processed satellite observations at the global scale, over the period 1992-2020, for over 2000 inland water bodies. This dataset was produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information about the Lakes_cci please visit the project website.
This is version 2.0.2 of the dataset.
The five thematic climate variables included in this dataset are:
• Lake Water Level (LWL), derived from satellite altimetry, is fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate change.
• Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution spatial extent observed at set time-points, describes the areal extent of the water body. This allows the observation of drought in arid environments, expansion in high Asia, or impact of large-scale atmospheric oscillations on lakes in tropical regions for example. .
• Lake Surface Water temperature (LSWT), derived from optical and thermal satellite observations, is correlated with regional air temperatures and is informative about vertical mixing regimes, driving biogeochemical cycling and seasonality.
• Lake Ice Cover (LIC), determined from optical observations, describes the freeze-up in autumn and break-up of ice in spring, which are proxies for gradually changing climate patterns and seasonality.
• Lake Water-Leaving Reflectance (LWLR), derived from optical satellite observations, is a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).
Data generated in the Lakes_cci are derived from multiple satellite sensors including: TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel 2-3, Landsat OLI, ERS, MODIS Terra/Aqua and Metop.
Detailed information about the generation and validation of this dataset is available from the Lakes_cci documentation available on the project website and in Carrea, L., Crétaux, JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lakes_terms_and_conditions_v2.pdf When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
This dataset was generated in the framework of the Lakes CCI+ project, funded by ESA. Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). V2.0.2 of the data provides a minor update to v2.0.1, which fixes an issue with missing data. |
| Data Quality: |
Data are as given by the data provider, no quality control has been performed by the Centre for Environmental Data Analysis (CEDA)
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| File Format: |
Data are in NetCDF format
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Related Documents
| ESA CCI Lakes project website |
| ESA Climate Change Initiative website |
| Product User Guide |
| Documentation for ESA CCI Lakes project |
Citations: 3
The following citations have been automatically harvested from external sources associated with this resource where DOI tracking is possible. As such some citations may be missing from this list whilst others may not be accurate. Please contact the helpdesk to raise any issues to help refine these citation trackings.
| Carrea, L., Crétaux, J.-F., Liu, X., et al. (2023) Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Scientific Data 10. https://doi.org/10.1038/s41597-022-01889-z https://doi.org/10.1038/s41597-022-01889-z |
| Dunn, R.J.H., Blannin, J., Gobron, N., et al. (2024) Global Climate. Bulletin of the American Meteorological Society 105, S12–S155. https://doi.org/10.1175/bams-d-24-0116.1 https://doi.org/10.1175/bams-d-24-0116.1 |
| Dunn, R.J.H., Miller, J.B., Willett, K.M., et al. (2023) Global Climate. Bulletin of the American Meteorological Society 104, S11–S145. https://doi.org/10.1175/bams-d-23-0090.1 https://doi.org/10.1175/bams-d-23-0090.1 |
Process overview
| Title | Derivation of the ESA Lakes Climate Change Initiative dataset |
| Abstract | The data generated by the Lakes_cci project have been derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For information on the derivation of the lake products, please see the documentation at https://climate.esa.int/en/projects/lakes/key-documents-lakes/. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
No variables found.
Temporal Range
1992-09-26T00:00:00
2020-12-31T23:59:59
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |