时空精度一致的长时序L波段卫星（SMOS-SMAP）土壤水分产品（2010-2024）

土壤水分是水循环与能量交换的关键参数，其时空动态变化不仅直接调控区域尺度大气水热平衡与水文循环过程。SMAP卫星观测系统自2015年持续运行提供土壤湿度产品，其数据时间跨度相较于SMOS卫星（自2009年起获取连续观测）存在显著局限性。本数据集使用贝叶斯框架，将SMAP产品的精度迁移到了SMOS产品中，获得了与SMAP精度一致的长时序（2010-2024）L波段卫星土壤水分产品SMOS_Reg和逐网格的不确定性参数（inaccuracy）。通过国际土壤水分观测网络的12个站网进行验证结果表明，SMOS_Reg产品的性能与SMAP产品的性能非常接近。随后我们根据SMAP和SMOS轨道配置的异质性，融合2015年至2022年间的SMAP产品和SMOS_Reg产品得到了SMAP-SMOS_Reg产品，对轨道缝隙进行了一定程度的填补。为SMAP土壤湿度数据产品的长时序分析提供了数据支撑。

Soil moisture is a critical parameter in the water cycle and energy exchange, whose spatiotemporal dynamics directly regulate regional-scale atmospheric water-heat balance and hydrological cycle processes. The SMAP satellite observation system has been operating continuously since 2015 to provide soil moisture products, but its data time span has significant limitations compared to the SMOS satellite, which has acquired continuous observations since 2009. This dataset adopts a Bayesian framework to transfer the accuracy of SMAP products to SMOS products, resulting in a long-time series (2010–2024) L-band satellite soil moisture product SMOS_Reg with accuracy matching that of SMAP, as well as grid-wise uncertainty parameters (inaccuracy). Validation using 12 station networks from the International Soil Moisture Network demonstrates that the performance of the SMOS_Reg product is highly consistent with that of the SMAP product. Subsequently, based on the heterogeneity of the orbital configurations of SMAP and SMOS, we fused the SMAP products and SMOS_Reg products from 2015 to 2022 to generate the SMAP-SMOS_Reg product, which partially fills the orbital gaps. This work provides data support for long-time series analysis of SMAP soil moisture data products.

搜集汇总

背景与挑战

背景概述

该数据集提供了2010-2024年间全球尺度的L波段卫星土壤水分产品，空间分辨率为0.1° - 0.25°，时间分辨率为日。通过贝叶斯框架将SMAP产品的精度迁移到SMOS产品中，获得了与SMAP精度一致的长时序土壤水分数据，为土壤湿度的长时序分析提供了重要支持。