Dataset
ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.1
Abstract
This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. This is version 1.1 of the dataset.
Lakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation.
The five thematic climate variables included in this dataset are:
• Lake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.
• Lake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.
• Lake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality.
• Lake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality.
• Lake Water-Leaving Reflectance (LWLR): 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 project are 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 more information please see the product user guide in the documents.
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 generate 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). |
| 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 netCDF formatted.
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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: 2
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.
| Free, G., Bresciani, M., Pinardi, M., et al. (2021) Detecting Climate Driven Changes in Chlorophyll-a Using High Frequency Monitoring: The Impact of the 2019 European Heatwave in Three Contrasting Aquatic Systems. Sensors 21, 6242. https://doi.org/10.3390/s21186242 https://doi.org/10.3390/s21186242 |
| Lehmann, M.K., Schütt, E.M., Hieronymi, M., Dare, J. & Krasemann, H. (2021) Analysis of recurring patchiness in satellite-derived chlorophyll a to aid the selection of representative sites for lake water quality monitoring. International Journal of Applied Earth Observation and Geoinformation 104, 102547. https://doi.org/10.1016/j.jag.2021.102547 https://doi.org/10.1016/j.jag.2021.102547 |
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 |
- units: 1
- long_name: Fully normalized water-leaving reflectance at 412 nm
- var_id: Rw412
- units: 1
- long_name: Fully normalized water-leaving reflectance at 443 nm
- var_id: Rw443
- units: 1
- long_name: Fully normalized water-leaving reflectance at 490 nm
- var_id: Rw490
- units: 1
- long_name: Fully normalized water-leaving reflectance at 510 nm
- var_id: Rw510
- units: 1
- long_name: Fully normalized water-leaving reflectance at 560 nm
- var_id: Rw560
- units: 1
- long_name: Fully normalized water-leaving reflectance at 620 nm
- var_id: Rw620
- units: 1
- long_name: Fully normalized water-leaving reflectance at 665 nm
- var_id: Rw665
- units: 1
- long_name: Fully normalized water-leaving reflectance at 681 nm
- var_id: Rw681
- units: 1
- long_name: Fully normalized water-leaving reflectance at 709 nm
- var_id: Rw709
- units: 1
- long_name: Fully normalized water-leaving reflectance at 754 nm
- var_id: Rw754
- units: 1
- long_name: Fully normalized water-leaving reflectance at 779 nm
- var_id: Rw779
- units: 1
- long_name: Fully normalized water-leaving reflectance at 885 nm
- var_id: Rw885
- units: 1
- long_name: Fully normalized water-leaving reflectance at 900 nm
- var_id: Rw900
- long_name: Lake Water Extent
- units: km2
- var_id: lake_surface_water_extent
- units: percent
- long_name: Relative uncertainty in concentration of chlorophyll-a
- var_id: chla_uncertainty
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 412 nm
- var_id: Rw412_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 443 nm
- var_id: Rw443_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 490 nm
- var_id: Rw490_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 510 nm
- var_id: Rw510_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 560 nm
- var_id: Rw560_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 620 nm
- var_id: Rw620_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 665 nm
- var_id: Rw665_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 681 nm
- var_id: Rw681_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 709 nm
- var_id: Rw709_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 754 nm
- var_id: Rw754_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 779 nm
- var_id: Rw779_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 885 nm
- var_id: Rw885_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in fully normalized water-leaving reflectance at 900 nm
- var_id: Rw900_uncertainty_relative
- units: percent
- long_name: Relative uncertainty in turbidity
- var_id: turbidity_uncertainty
- units: Kelvin
- long_name: Total uncertainty
- var_id: lswt_uncertainty
- long_name: Turbidity
- units: NTU
- var_id: turbidity_mean
- long_name: Water extent uncertainty
- var_id: lake_surface_water_extent_uncertainty
- units: hm2
- long_name: concentration of chlorophyll-a
- units: mg.m-3
- var_id: chla_mean
- long_name: lake ice cover
- var_id: lake_ice_cover
- units: percentage
- long_name: lake ice cover uncertainty
- var_id: lake_ice_cover_uncertainty
- units: Kelvin
- long_name: lake surface skin temperature
- var_id: lake_surface_water_temperature
- var_id: lat_bounds
- var_id: lon_bounds
- long_name: quality levels
- var_id: lswt_quality_level
- units: m
- long_name: water surface height above geoid
- var_id: water_surface_height_above_reference_datum
- units: mm
- long_name: water surface height uncertainty
- var_id: water_surface_height_uncertainty
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- long_name: latitude
- var_id: lat
- units: degrees_east
- standard_name: longitude
- long_name: longitude
- var_id: lon
- long_name: time
- standard_name: time
- var_id: time
Temporal Range
1992-09-15T00:00:00
2019-12-31T23:59:59
Geographic Extent
90.0000° |
||
-180.0000° |
180.0000° |
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-90.0000° |