CoSMOP - Global High-Resolution Time Series of Brightness Temperature from SMOS and SMAP-Enhanced

Long and consistent soil moisture time series at adequate spatial resolution are key to foster the application of soil moisture observations and remotely-sensed products in climate and numerical weather prediction models. The two L-band soil moisture satellite missions SMAP (Soil Moisture Active Passive) and SMOS (Soil Moisture and Ocean Salinity) are able to provide soil moisture estimates on global scales and in kilometer accuracy. However, the SMOS data record has an appropriate length of 7.5 years since late 2009, but with a coarse resolution of ∼25 km only. In contrast, a spatially-enhanced SMAP product is available at a higher resolution of 9 km, but for a shorter time period (since March 2015 only). Being the fundamental observable from passive microwave sensors, reliable brightness temperatures (Tbs) are a mandatory precondition for satellite-based soil moisture products. We therefore develop, evaluate and apply a copula-based data fusion approach for combining SMAP Enhanced (SMAP_E) and SMOS brightness Temperature (Tb) data. The approach exploits both linear and non-linear dependencies between the two satellite-based Tb products and allows one to generate conditional SMAP_E-like random samples during the pre-SMAP period. Our resulting global Copula-combined SMOS-SMAP_E (CoSMOP) Tbs are statistically consistent with SMAP_E brightness temperatures, have a spatial resolution of 9 km and cover the period from 2010 to 2018.

Currently, the data contains only horizontally polarised retrievals from SMOS's and SMAP's ascending and descending nodes, respectively.

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Cite this as

Lorenz, Christof, Montzka, Carsten, Jagdhuber, Thomas, Laux, Patrick, Kunstmann, Harald (2024). Dataset: CoSMOP - Global High-Resolution Time Series of Brightness Temperature from SMOS and SMAP-Enhanced. https://doi.org/10.1594/PANGAEA.896154

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Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-NC-SA-4.0
Source https://doi.pangaea.de/10.1594/PANGAEA.896154
Author Lorenz, Christof
Given Name Christof
Family Name Lorenz
More Authors
Montzka, Carsten
Jagdhuber, Thomas
Laux, Patrick
Kunstmann, Harald
Subject Areas
Name: LandSurface

Related Identifiers
Title: Long-Term and High-Resolution Global Time Series of Brightness Temperature from Copula-Based Fusion of SMAP Enhanced and SMOS Data
Identifier: https://doi.org/10.3390/rs10111842
Type: DOI
Relation: References
Year: 2018
Source: Remote Sensing
Authors: Lorenz Christof , Montzka Carsten , Jagdhuber Thomas , Laux Patrick , Kunstmann Harald .