7fc9df8070d34cacab8092e45ef276f1 English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 dataset NERC EDS Centre for Environmental Data Analysis 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-07-17T20:13:03 UK GEMINI 2.3 WGS 84 ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.1 2024-04-03T07:13:21 publication 2024-04-03T07:13:21 creation https://catalogue.ceda.ac.uk/uuid/7fc9df8070d34cacab8092e45ef276f1 7fc9df8070d34cacab8092e45ef276f1 NERC EDS Centre for Environmental Data Analysis 10.5285/7fc9df8070d34cacab8092e45ef276f1 doi This dataset contains the Lakes Essential Climate Variable, which is comprised of processed satellite observations at the global scale, over the period 1992-2022, 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 2.1.0 of the dataset. The six 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). • Lake Ice Thickness (LIT), containing LIT information over Great Slave lake from 2002-2022. Data generated in the Lakes_cci are derived from multiple satellite sensors including: TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel 2-3, Landsat 4, 5, 7 and 8, ERS-1, ERS-2, Terra/Aqua and Metop-A/B. Satellite sensors associated with the thematic climate variables are as follows: LWL: TOPEX/Poseidon, Jason-1, Jason-2, Jason-3, Sentinel-6A, Envisat RA/RA-2, SARAL AltiKa, GFO, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 RA, ERS-2; LWE: Landsat 4 TM, 5 TM, 7 ETM+, 8 OLI, Sentinel-1 C-band SAR, Sentinel-2 MSI, Sentinel-3A SRAL, Sentinel-3B SRAL, ERS-1 AMI, ERS-2 AMI; LSWT: Envisat AATSR, Terra/Aqua MODIS, Sentinel-3A ATTSR-2, Sentinel-3B, ERS-2 AVHRR, Metop-A/B; LIC: Terra/Aqua MODIS; LWLR: Envisat MERIS, Sentinel-3A OLCI A/B, Aqua MODIS; LIT: Jason1, Jason2, Jason3, POSEIDON-2, POSEIDON-3 and POSEIDON-3B. 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 Carrea, Laura Unavailable author Unavailable author Crétaux, Jean-François Unavailable author Unavailable author Liu, Xiaohan Unavailable author Unavailable author Wu, Yuhao Unavailable author Unavailable author Bergé-Nguyen, Muriel Unavailable author Unavailable author Calmettes, Beatriz Unavailable author Unavailable author Duguay, Claude Unavailable author Unavailable author Jiang, Dalin Unavailable author Unavailable author Merchant, Christopher J. Unavailable author Unavailable author Mueller, Dagmar Unavailable author Unavailable author Selmes, Nick Unavailable author Unavailable author Simis, Stefan Unavailable author Unavailable author Spyrakos, Evangelos Unavailable author Unavailable author Stelzer, Kerstin Unavailable author Unavailable author Warren, Mark Unavailable author Unavailable author Yesou, Hervé Unavailable author Unavailable author Zhang, Daoyuan Unavailable author Unavailable author NERC EDS Centre for Environmental Data Analysis custodian 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk custodian NERC EDS Centre for Environmental Data Analysis distributor 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor NERC EDS Centre for Environmental Data Analysis point_of_contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact NERC EDS Centre for Environmental Data Analysis publisher 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk publisher notPlanned dataset Jason-2 Envisat Jason-1 Topex/Poseidon MODIS_AQUA MODIS_TERRA ERS Landsat-8 Landsat-5 Jason-3 Landsat-7 Metop Landsat-4 SARAL Sentinel-3A Sentinel-3B Sentinel-1 Sentinel-2 ESA CCI Lakes ECV orthoimagery theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/esacci_lakes_terms_and_conditions.pdf, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. grid English imageryBaseMapsEarthCover -180.0 180.0 -90.0 90.0 1992-09-26T00:00:00 2023-12-31T23:59:59 netCDF NERC EDS Centre for Environmental Data Analysis Data Center Contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/7fc9df8070d34cacab8092e45ef276f1 CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/neodc/esacci/lakes/data/lake_products/L3S/v2.1/ DOWNLOAD Download Data download https://climate.esa.int/en/projects/lakes/key-documents-lakes/ Documentation for ESA CCI Lakes project No further details. information https://climate.esa.int ESA Climate Change Initiative website No further details. information https://climate.esa.int/projects/lakes/ ESA CCI Lakes project website No further details. information dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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).