Open water evaporation of Lake IJssel, scripts and data used for regression analyses in the study 'Evaporation from a large lowland reservoir – observed dynamics during a warm summer'.

Scripts in the programming language R and accompanying datasets that are used for regression analysis in the study 'Evaporation from a large lowland reservoir – observed dynamics during a warm summer'. The analysis provides insight in which variables can explain open water evaporation of Lake IJssel, the Netherlands, measured at two locations for the years 2019 and 2020. There are 4 scripts for each location (i.e. Stavoren and Trintelhaven): for (1) the hourly and (2) daily temporal scale, and for analysis based on (3) our own observations (doi: 10.4121/16601675), and (4) routinely measured data by the Royal Netherlands Meteorological Institute (KNMI -https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens (last access: 01-11-2021)) and the Directorate-General for Public Works and Water Management (Rijkswaterstaat - https://waterinfo.rws.nl/#!/kaart/watertemperatuur/ (last access: 01-11-2021)). The datasets consist of evaporation data, and five possible explanatory variables: global radiation, wind speed, vertical vapour pressure gradient,vapour pressure deficit, and water temperature. The datasets of the routinely measured data consist of combined data that is sourced from KNMI (global radiation,wind speed, vapour pressure gradient, vapour pressure deficit) and Rijkswaterstaat (water temperature). For more information about the datasets thatare based on our own observations, have a look at doi:10.4121/16601675 (related dataset).

本数据集包含用于研究《大型低地水库蒸发——暖季观测动态》（Evaporation from a large lowland reservoir – observed dynamics during a warm summer）中回归分析的R语言（R）脚本及配套数据集。该分析旨在阐明哪些变量可用于解释荷兰艾瑟尔湖（Lake IJssel）的开阔水域蒸发量，观测覆盖两个点位，数据时段为2019年至2020年。针对斯塔福伦（Stavoren）与特林特尔港（Trintelhaven）两个点位，各配有4个脚本：分别对应(1)逐小时、(2)逐日时间尺度，以及基于(3)自主观测数据（doi: 10.4121/16601675）、(4)荷兰皇家气象研究所（KNMI，https://www.knmi.nl/nederland-nu/klimatologie/uurgegevens，最后访问时间：2021-11-01）与荷兰公共工程与水管理总局（Rijkswaterstaat，https://waterinfo.rws.nl/#!/kaart/watertemperatuur/，最后访问时间：2021-11-01）的常规观测数据开展的分析。数据集包含蒸发数据，以及5个潜在解释变量：总辐射（global radiation）、风速（wind speed）、垂直水汽压梯度（vertical vapour pressure gradient）、水汽压亏缺（vapour pressure deficit）及水温（water temperature）。其中常规观测数据集为整合数据，数据来源包括KNMI（提供总辐射、风速、水汽压梯度、水汽压亏缺）与Rijkswaterstaat（提供水温）。如需了解自主观测数据集的更多信息，请访问doi:10.4121/16601675（关联数据集）。