Operations, Challenges, and Prospects of Satellite-Based Surface Soil Moisture Data Services

Wagner, Wolfgang; Hahn, Sebastian; Figa, Julia; Albergel, Clément; Rosnay, Patricia de; Brocca, Luca; Jeu, Richard de; Hasenauer, S.; Dorigo, Wouter

doi:10.1201/b15610-25

Cited by 3 publications

(1 citation statement)

References 56 publications

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“…These data are available in near real time (NRT) as swath images at the native ASCAT orbital grid nodes (referred to as: ). While the NRT data service has been tailored to meet the strict data latency requirements (delivery of the data within ∼130 min after sensing) of the NWP community and other operational data users working at regional to global scales, the data records addresses scientific and other nonoperational data users interested in analyzing soil moisture data time series [194]. 2) 25-km root-zone soil moisture data at four layers (0-7, 7-28, 28-100, 100-289 cm) are derived by assimilating the ASCAT NRT SSM data in the ECMWF Land Data Assimilation System [56].…”

Section: Ascat-derived Soil Moisture Productsmentioning

confidence: 99%

A Review of the Applications of ASCAT Soil Moisture Products

Brocca

Crow

Ciabatta

et al. 2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Remote sensing of soil moisture has reached a level of good maturity and accuracy for which the retrieved products are ready to use in real-world applications. Due to the importance of soil moisture in the partitioning of the water and energy fluxes between the land surface and the atmosphere, a wide range of applications can benefit from the availability of satellite soil moisture products. Specifically, the Advanced SCATterometer (ASCAT) on board the series of Meteorological Operational (Metop) satellites is providing a near real time (and long-term, 9+ years starting from January 2007) soil moisture product, with a nearly daily (sub-daily after the launch of Metop-B) revisit time and a spatial sampling of 12.5 and 25 km. This study first performs a review of the climatic, meteorological, and hydrological studies that use satellite soil moisture products for a better understanding of the water and energy cycle. Specifically, applications that consider satellite soil moisture product for improving their predictions are analyzed and discussed. Moreover, four real examples are shown in which ASCAT soil moisture observations have been successfully applied toward: 1) numerical weather prediction, 2) rainfall estimation, 3) flood forecasting, and 4) drought monitoring and prediction. Finally, the strengths and limitations of ASCAT soil moisture products and the way forward for fully exploiting these data in real-world applications are discussed.

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Section: Ascat-derived Soil Moisture Productsmentioning

confidence: 99%

A Review of the Applications of ASCAT Soil Moisture Products

Brocca

Crow

Ciabatta

et al. 2017

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Self Cite

120

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Soil moisture remote-sensing applications for identification of flood-prone areas along transport infrastructure

et al. 2018

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The expected increase in precipitation and temperature in Scandinavia, and especially short-time heavy precipitation, will increase the frequency of flooding. Urban areas are the most vulnerable, and specifically, the road infrastructure. The accumulation of large volumes of water and sediments on road-stream intersections gets severe consequences for the road drainage structures. This study integrates the spatial and temporal soil moisture properties into the research about flood prediction methods by a case study of two areas in Sweden, Västra Götaland and Värmland, which was affected by severe flooding in August 2014. Soil moisture data are derived from remote-sensing techniques, with a focus on the soil moisture-specific satellites ASCAT and SMOS. Furthermore, several physical catchments descriptors (PCDs) are analyzed and the result shows that larger slopes and drainage density, in general, mean a higher risk of flooding. The precipitation is the same; however, it can be concluded that more precipitation in most cases gives higher soil moisture values. The lack, or the dimensioning, of road drainage structures seems to have a large impact on the flood risk as more sediment and water can be accumulated at the road-stream intersection. The results show that the method implementing soil moisture satellite data is promising for improving the reliability of flooding.

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