ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 2.0.2

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.

本数据集包含湖泊关键气候变量（Lakes Essential Climate Variable），由1992年至2020年期间全球尺度下、针对2000余个内陆水体的经预处理卫星观测数据构成。本数据集由欧洲空间局（European Space Agency, ESA）湖泊气候变化倡议（Lakes Climate Change Initiative, Lakes_cci）项目研制。如需了解Lakes_cci项目的更多详情，请访问其官方网站。本数据集版本为2.0.2。
本数据集包含5项主题气候变量，具体如下：
• 湖泊水位（Lake Water Level, LWL）：源自卫星测高观测，是解析水体补给与损耗平衡及其与区域、全球气候变化关联的核心基础指标。
• 湖泊水域范围（Lake Water Extent, LWE）：通过湖泊水位与预设时间点观测的高分辨率空间水域范围的关联关系建模得到，用于表征水体的面积分布。例如，该变量可用于监测干旱环境中的旱情、高亚洲地区的水域扩张，或是热带区域大型大气振荡对湖泊的影响。
• 湖泊地表水温度（Lake Surface Water Temperature, LSWT）：源自光学与热红外卫星观测，与区域气温具有显著相关性，可用于揭示水体垂直混合机制，进而驱动生物地球化学循环与季节变化规律。
• 湖泊冰盖（Lake Ice Cover, LIC）：通过光学观测反演得到，用于描述秋季湖泊封冻与春季融冰过程，是反映气候模式与季节特征逐步演变的替代指标。
• 湖泊水体离水反射率（Lake Water-Leaving Reflectance, LWLR）：源自光学卫星观测，是水柱可见光波段内生物地球化学过程与栖息地状态的直接指示因子（例如季节性浮游植物生物量波动），同时可用于表征极端事件的发生频率（如极端地表径流、水体混合条件变化）。
Lakes_cci项目生成的数据依托多款卫星传感器获取，包括：TOPEX/Poseidon、Jason、ENVISAT、SARAL、Sentinel 2-3、Landsat OLI、ERS、MODIS Terra/Aqua以及Metop。
关于本数据集的生成与验证详细信息，可从项目官网发布的Lakes_cci官方文档中获取。

搜集汇总

背景与挑战

背景概述

ESA Lakes_cci数据集2.0.2版本提供了1992-2020年间全球2000多个内陆水体的五项关键气候变量观测数据，包括水位、水域范围、表面温度、冰盖和反射率等指标，数据来源于多颗卫星传感器，采用NetCDF格式存储，总容量达484GB。该数据集对于研究气候变化对湖泊生态系统的影响具有重要意义。