秘鲁每日空气温度的高分辨率网格 - 新的PISCOt v1.2数据集
Adrian Huerta1,2,3, Cesar Aybar4,5, Noemi Imfeld6,7
1Servicio Nacional de Meteorología e Hidrología (SENAMHI), Lima, Perú. adrhuerta@gmail.com.
Scientific data
|December 1, 2023
概括
秘鲁 秘鲁 秘鲁 秘鲁 是一个
科学领域:
- 气候学 气候学 气候学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 高分辨率的格式气候数据对于建模至关重要.
- 现有的数据集往往缺乏秘鲁所需的空间细节.
- 准确的温度数据对于气候变化影响评估至关重要.
研究的目的:
- 介绍PISCOt (v1.2),这是秘鲁的新型高分辨率每日空气温度数据集.
- 在准确性和空间细节方面改进现有的气候数据集.
- 为秘鲁的气候,水和生态系统研究提供可靠的数据来源.
主要方法:
- 为秘鲁 (1981-2020年) 开发了0.01°空间分辨率的PISCOt (v1.2).
- 采用了四个步骤的过程:质量控制,缺口填补,站点均化和空间插值.
- 使用了增强的版本控制和修订的计算序列,以提高准确性.
主要成果:
- PISCOt (v1.2) 显示了高精度,平均绝对误差为1.4°C (最大温度) 和1.2°C (最小温度).
- 该数据集有效地以高时空分辨率捕捉复杂的气候变化.
- 性能优于现有的数据集,例如PISCOt v1.1,ERA5-Land,TerraClimate和CHIRTS. 这样的数据集.
结论:
- 皮斯科特 (v1.2) 为秘鲁的局部区域气候建模提供了实质性的改进.
- 解决数据稀缺问题,并支持基于模型的紧急决策.
- 对于气候变化适应,水资源管理和生态系统评估至关重要.
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