Long-term (1960-2017) simulation of Lake Champs-sur-Marne with Delft3D-FLOW: model configuration and results

This data set is relative to the article “The thermal response of small and shallow lakes to climate change: new insights from 3D hindcast modelling” (Piccioni et al., ESD, 2021). The Delft3d-FLOW module from the Delft3D modeling package (version 4.01.01.rc.03) was used to simulate and reconstruct the hydrodynamics of Lake Champs-sur-Marne (France, lat.: 48.864035, long.: 2.596436) during a 58 year-long period going from 1960 to 2017, in order to investigate the time and spatial evolution of its thermal regime. The model is forced with hourly meteorological data of relative humidity [%], air temperature [°C], net solar radiation [J.s-1.m-2], wind speed [m.s-1] and direction [°N]. Long-term data of specific humidity, air temperature, net solar radiation and wind speed are issued from the SAFRAN meteorological reanalysis (e.g. Raimonet et al., 2017) and were provided for this study by Météo-France. Raw SAFRAN data were processed and, when needed, converted as specified in Piccioni et al. (2021). The resulting meteorological data set in terms of relative humidity, air temperature, net solar radiation and wind speed was used in Piccioni et al. (2021), and is stored here in the text file “Meteo_input_1960_2017.txt”. Any other publication using these data should mention the source and Météo-France must appear explicitly in the acknowledgements. Wind direction data used in the study are property of Météo-France (Meteorological station in Trappes (F)). They were retrieved through the INRAE CLIMATIK platform (https://intranet.inrae.fr/climatik/, last access: 5 March 2020, in French) managed by the AgroClim laboratory of Avignon, France. They are therefore not included in this data set. In this data set users will find the model set-up for the long-term three-dimensional simulation as well as model results in terms of water temperature at measuring site A in text format. The model set-up consists of: • Two files defining the computational mesh: “Grid.grd” and “Grid_enc.enc” • One file defining bathymetry: “Depth.dep” • One file defining the location of the monitoring points: “Monitoring_location.obs” • One master definition flow file defining all parameters and information needed to carry out the hydrodynamic simulation: “19600101_20171231.mdf” Model results are here given in a single text file (“Results_1960_2017_A.txt”) for one location (site A) and all 12 layers in terms of water temperature [°C]. The file is organized as a table with one raw for each output time step of the model (hourly). The first column contains time as serial date numbers according to the proleptic ISO calendar used in MATLAB; following, are model results for all layers of the model from bottom to surface.本数据集关联论文《小型浅水湖泊对气候变化的热响应：基于3D后报模拟的新认知》（*The thermal response of small and shallow lakes to climate change: new insights from 3D hindcast modelling*，Piccioni等，ESD，2021）。本研究采用Delft3D建模套件（Delft3D modeling package）的Delft3d-FLOW模块（版本4.01.01.rc.03），对1960年至2017年共58年间法国尚特马尔讷湖（Lake Champs-sur-Marne，纬度：48.864035，经度：2.596436）的水动力过程进行模拟与重建，以探究其热状况的时空演变规律。模型以逐小时气象数据作为强迫场，数据类型包括相对湿度（单位：%）、气温（单位：℃）、净太阳辐射（单位：J·s⁻¹·m⁻²）、风速（单位：m·s⁻¹）与风向（单位：°N）。比湿、气温、净太阳辐射与风速的长期气象数据来自SAFRAN气象再分析资料（SAFRAN meteorological reanalysis，如Raimonet等，2017），由法国气象局（Météo-France）为本研究提供。原始SAFRAN数据已按照Piccioni等（2021）中的说明进行处理与必要转换。经处理得到的相对湿度、气温、净太阳辐射与风速数据集已在Piccioni等（2021）中使用，本数据集中以文本文件"Meteo_input_1960_2017.txt"存储。任何使用本数据集的其他出版物均需注明数据来源，且必须在致谢部分明确提及法国气象局。本研究使用的风向数据归法国气象局（Météo-France，特拉普气象站，F）所有，通过法国阿维尼翁AgroClim实验室管理的INRAE CLIMATIK平台获取（https://intranet.inrae.fr/climatik/，最后访问日期：2020年3月5日，语言为法语），因此未包含在本数据集中。本数据集包含长期三维水动力模拟的模型配置文件，以及测点A的水温模拟结果文本文件。模型配置文件包括： • 2个定义计算网格的文件："Grid.grd"与"Grid_enc.enc" • 1个定义水深地形的文件："Depth.dep" • 1个定义监测点位置的文件："Monitoring_location.obs" • 1个定义水动力模拟所需全部参数与信息的主流程定义文件："19600101_20171231.mdf" 模型结果以单个文本文件"Results_1960_2017_A.txt"提供，对应测点A的全部12层水温（单位：℃）。该文件以表格形式组织，每一行对应模型的一个逐小时输出时间步。第一列为采用MATLAB所用的前推ISO日历的序列日期编号表示的时间；后续各列为模型从底层到表层所有层位的模拟结果。