BICI-ULL: Bioclimatic indicators dataset for the orographically complex Canary Islands archipelago

BICI−ULL (Bioclimatic Indicators in the Canary Islands by the ULL−GOTA) includes 53 biovariables derived from monthly temperature, precipitation, radiation, humidity, and wind speed averages over different periods calculated through dynamic regionalisation models. This project aims to improve our understanding of climate and its impacts on small, isolated regions with diverse ecosystems, providing valuable insights for the scientific community.

The dataset can be found in the ‘Bioclimatic indicators’ folder. It consists of 795 files in NetCDF4 format with a grid cell resolution of 3×3 km, covering the region of the Canary Islands. The files represent 53 bioclimatic indicators calculated in 30-year intervals for the periods: 1980−2009, 2030−2059, and 2070−2099, under the Representative Concentration Pathway (RCP) scenarios RCPs 4.5 and 8.5, for future. The non-hydrostatic WRF model, with boundary conditions from three global models (GFDL−ESM2M, IPSL−CM5A−MR, and MIROC−ESM), was used to perform the simulations. The grid dimensions are (186×77), with a total of 14322 cell points. It covers a longitude range of 18.3◦W to 13.3◦W and a latitude range of 27.5◦N to 29.6◦N, although the biovariables are only computed for land cells. The files comply with the CF conventions for climate and forecast metadata designed to promote the processing and exchange of files created with the netCDF4 Application Programmer Interface. The names associated with each file follow the format: BIOx_model_rcp_yini_yend.nc

The raw data from which the biovariables are generated are also available in this repository, in the ‘Raw Data’ folder. These include the standard variables: Mean, maximum, and minimum temperature (TG, TX, TN), precipitation (PR), shortwave downwelling flux (SR), relative humidity (RH), and wind speed (WS). Each file contains 12 timesteps, one for each month (January, February, …). The content of the variables is the mean over the 30-year periods. A specific bias adjustment technique known as the Scaled Distribution Mapping (SDM) algorithm, designed to preserve trends, was used (Switanek et al., 2017). File names follow the format: model_yini_yend_rcp_variable.nc

x represents the number of the climatic indicator

model makes reference to the driving Global Circulation Model used for the regionalsation simulations. It can be GFDL, IPSL, or MIROC.

rcp indicates the forcing scenario, RCP 4.5 or RCP 8.5, or it will be defined as ‘HIST’ in the case of the historical period.

yind and yend represent the years of the period, with ini identifying the first year of the period and end identifying the last year.

variable refers to the standard variable, which can be TG, TX, TN, PR, SR, RH, WS

The main folders contain, in turn, subfolders corresponding to each driving global model, and to the respective period and scenario.

The definition of the 53 BICI-ULL bioindicators have been also summarised in the BICI-ULL_bioindicators_definitions.pdf file.

BICI-ULL（由ULL-GOTA提供的加那利群岛生物气候指标）包含了53个生物变量，这些变量源于不同时期内月平均温度、降水量、辐射、湿度和风速的计算结果，这些计算通过动态区域化模型完成。该项目的目标是提升我们对气候及其对具有多样化生态系统的孤立小区域影响的理解，为科学界提供宝贵的洞见。

该数据集可在‘生物气候指标’文件夹中找到，包含795个NetCDF4格式的文件，网格单元分辨率为3×3公里，覆盖加那利群岛地区。这些文件代表53个生物气候指标，以30年为一个间隔，计算了以下时期的指标：1980−2009，2030−2059，和2070−2099，在代表性浓度路径（RCP）情景RCPs 4.5和8.5下，用于预测未来。模拟过程中使用了非静力性的WRF模型，边界条件由三个全球模型（GFDL-ESM2M，IPSL-CM5A-MR，和MIROC-ESM）提供。网格维度为（186×77），总共有14322个单元格点。它覆盖了经度范围18.3◦W至13.3◦W和纬度范围27.5◦N至29.6◦N，尽管生物变量仅计算陆地单元格。文件符合CF公约关于气候和预报元数据的规定，旨在促进使用netCDF4应用程序接口创建的文件的处理和交换。与每个文件关联的名称遵循以下格式：BIOx_model_rcp_yini_yend.nc。

生成生物变量的原始数据也存储在本存储库的‘原始数据’文件夹中。这些数据包括标准变量：平均温度（TG，TX，TN）、降水量（PR）、短波下行通量（SR）、相对湿度（RH）和风速（WS）。每个文件包含12个时间步长，代表每个月（一月、二月……）。变量的内容是30年期间的均值。使用了特定的偏差调整技术，称为比例分布映射（SDM）算法，旨在保留趋势（Switanek等，2017）。文件名称遵循以下格式：model_yini_yend_rcp_variable.nc

x代表气候指标的编号

model指的是用于区域化模拟的驱动全球环流模型，可以是GFDL、IPSL或MIROC。

rcp表示强迫情景，RCP 4.5或RCP 8.5，或在历史时期定义为‘HIST’。

yind和yend代表时期的年份，ini标识时期的起始年份，end标识时期的结束年份。

variable指的是标准变量，可以是TG，TX，TN，PR，SR，RH，WS。

主要文件夹依次包含对应于每个驱动全球模型、相应时期和情景的子文件夹。

53个BICI-ULL生物指标的定义也已在BICI-ULL_bioindicators_definitions.pdf文件中总结。