1961-2018年北极大河流域（Yenisy、Lena、Ob、Yukon和Mackenzie）0.1°气象要素驱动场数据集

北极大河流域地面气象要素驱动数据集，包括地表日最大、最小及平均气温、日降水量、日均风速共5个要素。数据为NETCDF格式，水平空间分辨率约为0.1度（0.083°），范围包括了Yenisy、Lena、Ob、Yukon及Mackenzie流域，该数据可为北极大河流域水文过程模拟提供驱动数据。利用进一步质量控制的全球历史气候网数据集(GHCN)、全球日气象数据集（GSOD）、美国历史气候网数据集（USHCN）、加拿大气候数据集（AHCCD）、前苏联/俄罗斯气候数据集（USSR/Russia）的气象站点日观测数据，以ClimateNA（北美）、Worldclim（欧亚）数据作为背景场，采用薄板样条函数插值方法生成。Ground Meteorological Forcing Dataset for Pan-Arctic Large River Basins encompasses five surface meteorological elements: daily maximum, minimum and mean surface air temperature, daily precipitation, and daily mean wind speed. The dataset is stored in NETCDF format, with a horizontal spatial resolution of approximately 0.1° (0.083°), covering the basins of Yenisy, Lena, Ob, Yukon and Mackenzie. This dataset can serve as forcing data for hydrological process simulation in pan-Arctic large river basins. It was generated using daily in-situ meteorological observation data from the further quality-controlled Global Historical Climatology Network Dataset (GHCN), Global Daily Surface Weather Dataset (GSOD), United States Historical Climatology Network Dataset (USHCN), Canadian Historical Climate Dataset (AHCCD), and former Soviet Union/Russia Climate Dataset, with ClimateNA (for North America) and Worldclim (for Eurasia) datasets as background fields via thin plate spline interpolation.

搜集汇总

背景与挑战

背景概述

该数据集提供了1961-2018年期间北极大河流域（包括Yenisy、Lena、Ob、Yukon和Mackenzie）的气象要素驱动场数据，包含日最大、最小及平均气温、日降水量和日均风速共5个要素，空间分辨率约为0.1度，数据格式为NETCDF。数据集基于多源气象站点观测数据，采用薄板样条函数插值方法生成，旨在为北极大河流域的水文过程模拟提供高质量的驱动数据。