Tang Chao, Morel Béatrice, Singh Swati, Graillet Alexandre, Pergaud Julien, Mugenga Remy Ineza, Baraka Lwidjy, Leroux Marie-Dominique, Jeanty Patrick, Delsaut Mathieu, Cunden Tyagaraja S M, Beeharry Girish Kumar, Lollchund Roddy
ENERGY-Lab, University of Reunion, 15 Avenue René Cassin CS 92003, 97744 Saint-Denis Cedex 9, Reunion, France.
Laboratoire des Sciences du Climat et de l'Environnement, CEA Paris-Saclay, 91190 Gif-sur-Yvette, France.
Data Brief. 2023 Oct 11;51:109665. doi: 10.1016/j.dib.2023.109665. eCollection 2023 Dec.
The present article describes a dataset encompassing model outputs generated by the Weather Research and Forecasting (WRF) regional climate model. A high-resolution (1km) downscaling simulation was performed over two tropical islands, Reunion and Mauritius, situated in the South-West Indian Ocean (SWIO), with initial and boundary conditions provided by the ERA5 reanalysis with a global resolution of 0.25° × 0.25°. The simulation used three nested domains sequentially configured with spatial resolutions of 9, 3, and 1km, respectively, with a downscaling ratio of 3. The physical configurations of this simulation were determined through previous modeling studies and sensitivity tests. The published simulation data currently covers a period of 10 years, starting from 1991 (with the possibility to be extended to 30 years). Over 60 output variables were selected for publication with open access, including those related to the intermittent energy resources (e.g., surface solar radiation and its direct/diffuse components, wind speed/direction at multiple vertical levels, and precipitation, of interest for the run-off-river hydropower), as well as the widely used climatic/meteorological variables (e.g., temperature, pressure, humidity, etc.) at a temporal resolution varying from a day up to 30 minutes. All the data are available through an open-access data server, where an intelligent algorithm is applied to simplify the download process for data users. For the first time, a long-term, high-resolution climate/meteorological dataset covering Reunion and Mauritius has been simulated and published as open-access data, yielding substantial benefits to studies on climate modeling, weather forecasting, and even those related to climate change in the SWIO region. In particular, this dataset will enable a better understanding of the temporal and spatial characteristics of intermittent climate-related energy resources, consequently facilitating their implementation towards a green and low-carbon future.
本文介绍了一个数据集，该数据集包含由天气研究与预报（WRF）区域气候模型生成的模型输出。在位于西南印度洋（SWIO）的留尼汪岛和毛里求斯这两个热带岛屿上进行了高分辨率（1公里）的降尺度模拟，初始条件和边界条件由全球分辨率为0.25°×0.25°的ERA5再分析提供。该模拟使用了三个依次配置的嵌套域，空间分辨率分别为9公里、3公里和1公里，降尺度比为3。该模拟的物理配置是通过先前的建模研究和敏感性测试确定的。已发布的模拟数据目前涵盖从1991年开始的10年时间段（有可能扩展到30年）。选择了60多个输出变量进行开放获取发布，包括与间歇性能源资源相关的变量（例如地面太阳辐射及其直接/漫射分量、多个垂直高度的风速/风向以及径流河流水电感兴趣的降水），以及广泛使用的气候/气象变量（例如温度、压力、湿度等），时间分辨率从一天到30分钟不等。所有数据都可通过一个开放获取的数据服务器获取，在该服务器上应用了一种智能算法来简化数据用户的下载过程。首次模拟并以开放获取数据的形式发布了覆盖留尼汪岛和毛里求斯的长期、高分辨率气候/气象数据集，这对西南印度洋区域的气候建模、天气预报乃至与气候变化相关的研究都有很大益处。特别是，该数据集将有助于更好地理解与气候相关的间歇性能源资源的时空特征，从而促进其在绿色低碳未来的实施。
