SSP-aligned projected European water withdrawal/consumption at 5 arcminutes

Release 0.9.1 – What is new? · Industrial water withdrawals were initially overestimated due to a problem with the input data, but they are now fixed. · Historical water withdrawal covering 1960-2020 added. Consistency between historical and projected water withdrawals is maintained. Contents and naming conventions Annual European water withdrawal: {scenario}_{sector} _year_millionm3_5min_Europe_{from_year}_{to_year}.nc Scenarios: historical, ssp1, ssp2, ssp3, ssp5 Sector: dom, ind; stand for domestic/industrial From/to_year: 1960/2020, 2020/2100; historical/ssp projections. Each file holds two variables: {sector}ww and {sector}wc representing gross and net (i.e. consumptive use) water withdrawal. For exmaple, for the industrial sector, there are two variables: indww and indwc. The fraction ‘1 – indwc/indww ‘ represents the share of return flows. ------------------------- The dataset provides annual water withdrawal and consumption estimates for Europe at a spatial resolution of 5 arcminutes, covering the periods 1960-2020 (historical) and 2020-2100 for four SSPs (1, 2, 3, and 5). Below, we outline the procedure used to downscale the population projections to a 5-arcminute resolution and describe the main equations applied to project water withdrawal and consumption under different SSPs. The development of the high-resolution (5 arcminute) projected water withdrawal and consumption for Europe follows the methodology outlined by Wada et al. (2011a, 2011b). This new release incorporates new projections for population, GDP per capita, and urbanization patterns from the latest SSP database (v3.0.1; available at https://data.ece.iiasa.ac.at/ssp/). Since this update is still in progress as of August 25th, 2024, some necessary input data are sourced from an earlier version of the SSP data (SSP 2013, see Table 1). All data and methods used to generate the results provided in this dataset are described in the Readme - Data and Methods file. Table 1: Data availability in different versions of the SSP database as of August 25th 2024. Data SSP DatabaseVersion Module Population SSP v3.0.1 2024 Domestic GDP per capita SSP v3.0.1 2024 Domestic/industrial Energy use per capita SSP 2013 Industrial Electricity use per capita SSP 2013 Industrial发布版本0.9.1 — 更新说明 · 因输入数据存在问题，工业取水量初始估值偏高，目前该问题已完成修复。 · 新增覆盖1960-2020年的历史取水量数据集，并确保历史取水量与预测取水量的一致性。 ## 数据内容与命名规范 欧洲年度取水量数据文件命名格式： `{情景}_{行业}_year_millionm3_5min_Europe_{起始年}_{结束年}.nc` ### 情景类型： 历史情景（historical）、共享社会经济路径1（Shared Socioeconomic Pathways 1, SSP1）、SSP2、SSP3、SSP5 ### 行业类型： dom（代表生活用水domestic）、ind（代表工业用水industrial） ### 起止年份： 1960/2020（对应历史情景）、2020/2100（对应SSP预测情景） 每个文件包含两个变量：`{行业}ww`与`{行业}wc`，分别代表总取水量与净取水量（即耗水量）。例如，工业行业对应的变量为`indww`与`indwc`，比值`1 – indwc/indww`即为回归流量占比。 --- 本数据集提供空间分辨率为5弧分的欧洲年度取水量与耗水量估算数据，覆盖1960-2020年历史时段，以及4种共享社会经济路径（SSP1、SSP2、SSP3、SSP5）下2020-2100年的预测时段。下文将详述将人口预测数据降尺度至5弧分分辨率的流程，并介绍不同SSP情景下预测取水量与耗水量所采用的核心方程。 本欧洲高分辨率（5弧分）取水量与耗水量预测数据集的开发遵循Wada等人（2011a、2011b）提出的方法。本版本纳入了来自最新SSP数据库（v3.0.1，可访问https://data.ece.iiasa.ac.at/ssp/）的人口、人均GDP与城市化模式预测数据。鉴于截至2024年8月25日该更新仍在进行中，部分必要的输入数据取自旧版SSP数据（SSP 2013，详见表1）。本数据集生成结果所用的全部数据与方法，均可在《Readme - Data and Methods》文件中查阅。 ### 表1：截至2024年8月25日不同版本SSP数据库的数据可用性 | 数据类型 | SSP数据库版本 | 适用模块 | |------------------|--------------------|------------------| | 人口 | SSP v3.0.1 2024 | 生活用水 | | 人均GDP | SSP v3.0.1 2024 | 生活/工业用水 | | 人均能源使用量 | SSP 2013 | 工业用水 | | 人均电力使用量 | SSP 2013 | 工业用水 |