青藏高原0.1°空间分辨率逐月近地表气温数据（1901-2020）

青藏高原0.1°空间分辨率逐月近地表气温数据（1901-2020）通过深度学习方法生成对抗网络产生。其利用了中国区域地面气象要素驱动数据集中空间分辨率为0.1°的气温数据（1979-2018）以及CRU（Climate Research Unit）全球格网数据集中空间分辨率为0.5°的气温数据（1901-2020）。其空间分辨率为0.1°。时间范围为1901年1月到2020年12月。空间范围为74°E-106°E, 24°N-40°N。数据为NETCDF格式。该数据具有较长的时间跨度和较高的空间分辨率，可为研究青藏高原长期气温变化提供依据。The 0.1° spatial resolution monthly near-surface air temperature dataset over the Tibetan Plateau (1901–2020) was generated using a deep learning-based generative adversarial network (GAN). It draws on two reference datasets: the 0.1° spatial resolution air temperature data (1979–2018) from the China Meteorological Forcing Dataset, and the 0.5° spatial resolution air temperature data (1901–2020) from the CRU (Climate Research Unit) global gridded dataset. This dataset has a spatial resolution of 0.1°, covers the period from January 1901 to December 2020 temporally, and spans the geographic extent of 74°E–106°E, 24°N–40°N. All data are stored in NETCDF format. With a long temporal span and high spatial resolution, this dataset can serve as a reliable basis for studies on long-term near-surface air temperature changes over the Tibetan Plateau.

搜集汇总

背景与挑战

背景概述

该数据集提供了青藏高原区域1901年至2020年逐月近地表气温数据，空间分辨率为0.1°，覆盖范围74°E-106°E, 24°N-40°N。数据通过深度学习方法结合多源观测生成，具有较长的时间跨度和较高的空间精度，适用于分析青藏高原长期气温变化趋势。