南极冰盖近地面气温数据（2001-2018）

1）数据内容：2001-2018年南极冰盖近地面月气温时空数据集。
2）数据来源及加工方法：利用中分辨率成像光谱仪(MODIS)地表温度测量数据，结合119个气象站的现场气温记录，利用神经网络模型重建了南极冰盖(AIS)近地面气温数据，分辨率为0.05°×0.05°，时间尺度为2001-2018。
3）数据质量描述：精度优于ERA5再分析资料。
4）数据应用成果及前景：该数据库可用于研究南极冰盖近地面气温的时空分布特征，研究SAM和ENSO等对南极气温年际变化的影响。此外，由于数值天气预报模式输入的独立性，该数据集有可能用于气候模式验证和数据同化。

1) Data Content: Spatiotemporal dataset of near-surface monthly air temperature over the Antarctic Ice Sheet from 2001 to 2018.
2) Data Source and Processing Method: Using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature measurement data, combined with in-situ air temperature records from 119 meteorological stations, the neural network model was employed to reconstruct the near-surface air temperature data of the Antarctic Ice Sheet (AIS), with a spatial resolution of 0.05°×0.05° and a temporal coverage of 2001–2018.
3) Data Quality Description: Its accuracy outperforms that of the ERA5 reanalysis dataset.
4) Data Application Achievements and Prospects: This database can be used to explore the spatiotemporal distribution characteristics of near-surface air temperature over the Antarctic Ice Sheet, and analyze the impacts of SAM and ENSO on the interannual variability of Antarctic near-surface air temperature. Furthermore, given its independence from the inputs of numerical weather prediction models, this dataset has great potential for applications in climate model validation and data assimilation.

搜集汇总

背景与挑战

背景概述

该数据集为2001-2018年南极冰盖近地面月气温时空数据集，利用MODIS地表温度测量数据和119个气象站现场记录，通过神经网络模型重建，空间分辨率为0.05°×0.05°，精度优于ERA5再分析资料，适用于研究南极气温时空分布及气候模式验证。