ABSTRACT A new gridded rainfall dataset available for Peru is introduced, called PISCOp V2.1 (Peruvian Interpolated data of SENAMHI’s Climatological and Hydrological Observations). PISCOp has been developed for the period 1981 to the present, with an average latency of eight weeks at 0.1° spatial resolution. The merging algorithm is based on geostatistical and deterministic interpolation methods including three different rainfall sources: (i) the national quality-controlled and infilled raingauge dataset, (ii) radar-gauge merged precipitation climatologies and (iii) the Climate Hazards Group Infrared Precipitation (CHIRP) estimates. The validation results suggest that precipitation estimates are acceptable showing the highest performance for the Pacific coast and the western flank of the Andes. Furthermore, a meticulous quality-control and gap-infilling procedure allowed us to reduce the formation of inhomogeneities (non-climatic breaks). The dataset is publicly available at https://piscoprec.github.io/ and is intended to support hydrological studies and water management practices.

中文翻译：

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1981年至今秘鲁高分辨率网格降雨数据集的构建

摘要介绍了一个新的可用于秘鲁的网格降雨数据集，称为 PISCOp V2.1（秘鲁 SENAMHI 气候和水文观测的插值数据）。PISCOp 的开发时间为 1981 年至今，在 0.1° 空间分辨率下平均延迟为 8 周。合并算法基于地质统计和确定性插值方法，包括三种不同的降雨源：(i) 国家质量控制和填充的雨量计数据集，(ii) 雷达测量合并降水气候学和 (iii) 气候危害组红外降水（ CHIRP) 估计。验证结果表明，降水估计是可以接受的，显示太平洋沿岸和安第斯山脉西侧的性能最高。此外，一丝不苟的质量控制和间隙填充程序使我们能够减少不均匀性（非气候中断）的形成。该数据集可在 https://piscoprec.github.io/ 上公开获取，旨在支持水文研究和水资源管理实践。