Clarifications on the “Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.”

  title={Clarifications on the “Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.”},
  author={Delphine J. Leroux and Yann H. Kerr and A. Al Bitar and Rajat Bindlish and Thomas J. Jackson and B{\'e}atrice Berthelot and Gautier Portet},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
In a recent paper, Leroux compared three satellite soil moisture data sets (SMOS, AMSR-E, and ASCAT) and ECMWF forecast soil moisture data to in situ measurements over four watersheds located in the United States. Their conclusions stated that SMOS soil moisture retrievals represent “an improvement [in RMSE] by a factor of 2-3 compared with the other products” and that the ASCAT soil moisture data are “very noisy and unstable.” In this clarification, the analysis of Leroux is repeated using a… 

Triple Collocation Analysis of Soil Moisture From Metop-A ASCAT and SMOS Against JRA-55 and ERA-Interim

This study investigates the quality of Advanced Scatterometer (ASCAT) surface soil moisture retrievals with respect to other SSM products derived from the passive Soil Moisture and Ocean Salinity mission and two reanalysis datasets, finding large and spatially variable biases between all four datasets.

Analysis of two years of ASCAT-and SMOS-derived soil moisture estimates over Europe and North Africa

Abstract More than two years of soil moisture data derived from the Advanced SCATterometer (ASCAT) and from the Soil Moisture and Ocean Salinity (SMOS) radiometer are analysed and compared. The

Spatial Evaluation and Assimilation of SMAP, SMOS, and ASCAT Satellite Soil Moisture Products Over Africa Using Statistical Techniques

The limited number of in situ stations of surface soil moisture (SM) in Africa creates a shortage in the validation of SM satellite products. Therefore, this study investigates the performance of

Improving the Seasonal Representation of ASCAT Soil Moisture and Vegetation Dynamics in a Temperate Climate

It is found that a stronger vegetation correction within the SM retrieval improves the SM product considerably and the vegetation product derived with a dynamic vegetation characterization compares well to the reference datasets and reflects vegetation dynamics such as start and peak of season and harvest.

Validation of the SMOS Level 1C Brightness Temperature and Level 2 Soil Moisture Data over the West and Southwest of Iran

The European Space Agency (ESA) Soil Moisture and Ocean Salinity (SMOS) mission with the MIRAS (Microwave Imaging Radiometer using Aperture Synthesis) L-band radiometer provides global soil moisture

Evaluation and analysis of AMSR‐2, SMOS, and SMAP soil moisture products in the Genhe area of China

High‐precision soil moisture products play an important role in estimating forest carbon storage and carbon emissions in Genhe, China. In this paper, we evaluated the Soil Moisture and Ocean Salinity



Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN/SNOTEL Network

The Soil Moisture and Ocean Salinity (SMOS) satellite has opened the era of soil moisture products from passive L-band observations. In this paper, validation of SMOS products over continental U.S.

Soil Moisture Analyses at ECMWF: Evaluation Using Global Ground-Based In Situ Observations

AbstractIn situ soil moisture from 117 stations across the world and under different biome and climate conditions are used to evaluate two soil moisture products from the European Centre for

An evaluation of ASCAT surface soil moisture products with in-situ observations in Southwestern France

Abstract. A long term data acquisition effort of profile soil moisture is currently underway at 13 automatic weather stations located in Southwestern France. In this study, the soil moisture measured

Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S.

Results of the validation analysis indicate that the SMOS soil moisture estimates are approaching the level of performance anticipated, based on comparisons with the in situ data and AMSR-E retrievals.

Evaluation of AMSR‐E soil moisture product based on ground measurements over temperate and semi‐arid regions

Soil moisture (SM) products provided by remote sensing approaches at continental scale are of great importance for land surface modeling and numerical weather prediction. Before using remotely sensed

An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations

The WARP5 algorithm results in a more robust and spatially uniform soil moisture product, thanks to its new processing elements, including a method for the correction of azimuthal anisotropy of backscatter, a comprehensive noise model, and new techniques for calculation of the model parameters.

WindSat Global Soil Moisture Retrieval and Validation

  • Li LiP. Gaiser R. Bindlish
  • Environmental Science, Mathematics
    IEEE Transactions on Geoscience and Remote Sensing
  • 2010
Comparisons between the WindSat vegetation retrievals and the AVHRR Green Vegetation Fraction data reveal the consistency of these two independent data sets in terms of spatial and temporal variations.

An Intercomparison of ERS-Scat and AMSR-E Soil Moisture Observations with Model Simulations over France

Abstract This paper presents a study undertaken in preparation of the work leading up to the assimilation of Soil Moisture and Ocean Salinity (SMOS) observations into the land surface model (LSM)

Soil moisture active and passive microwave products : intercomparison and evaluation over a Sahelian site

This paper presents a comparison and an evalu- ation of five soil moisture products based on satellite-based passive and active microwave measurements. Products are evaluated for 2005-2006 against