Northern Cameroon daily interpolated rainfall, 1948-2022, combined dataset obtained via ordinary kriging
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Description: This dataset provides daily interpolated rainfall maps for Northern Cameroon, including North and Extreme North provinces, for the period 1948-2022, at 0.01° resolution, derived from daily rain gauge data observations. Dataset Preparation Methods: This dataset was created by combining maps obtained by performing interpolation from daily rain gauge data (NoCORA - Northern Cameroon Observed Rainfall Archive dataset) , using ordinary kriging with fitting of Circular variogram models and ordinary kriging with fitting of Spherical variogram models. The maps produced by the Spherical variogram models were taken as base of the combined dataset. Dates that could not be produced by the Spherical variogram models, but were produced by the Circular variogram models, were added to the combined dataset. Equally, dates produced by the Spherical variogram models containing negative values, but containing positive values when produced by the Circular variogram models, were replaced. The Mean Error calculated for both variogram models showed a similar bias and a paired t-test showed no significant difference. Resolution of interpolation is 0.01°. The daily results were assembled into daily geotiff files. Funding: This project was funded by the DESIRA INNOVACC project. Authors Contributions: Data treatment: Clara Knops. Documentation: Jérémy Lavarenne, Clara Knops. Changelog: v1.0.0 : initial submission
描述:本数据集提供1948年至2022年喀麦隆北部(含北部省和极北省)的每日插值降雨图,空间分辨率为0.01°,数据源自每日雨量站观测资料。 数据集制备方法:本数据集通过融合两种普通克里金插值方法生成的降雨图构建而成:以每日雨量站数据(NoCORA - 喀麦隆北部观测降雨档案数据集)为基础,分别采用拟合圆形变异函数模型的普通克里金插值、拟合球状变异函数模型的普通克里金插值生成降雨图。其中,以球状变异函数模型生成的降雨图作为融合数据集的基础;对于球状变异函数模型无法生成的日期,若圆形变异函数模型可生成对应降雨图,则将其补充至融合数据集中。此外,若球状变异函数模型生成的降雨图包含负值,但圆形变异函数模型生成的对应日期降雨图为正值,则将前者替换为后者。对两种变异函数模型计算得到的平均误差显示二者偏差相近,配对t检验结果表明二者无显著差异。插值空间分辨率为0.01°,每日插值结果均封装为GeoTIFF格式文件。 资助信息:本项目由DESIRA INNOVACC计划资助。 作者贡献: 数据处理:克拉拉·克诺普斯(Clara Knops)。 文档编写:热雷米·拉瓦伦(Jérémy Lavarenne)、克拉拉·克诺普斯。 更新日志: v1.0.0:首次提交



