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Mark S. Seyfried

Researcher at Agricultural Research Service

Publications -  110
Citations -  5093

Mark S. Seyfried is an academic researcher from Agricultural Research Service. The author has contributed to research in topics: Soil water & Water content. The author has an hindex of 35, co-authored 100 publications receiving 4326 citations. Previous affiliations of Mark S. Seyfried include United States Department of Agriculture.

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Validation of SMAP surface soil moisture products with core validation sites

TL;DR: The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance as mentioned in this paper.
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Scale and the Nature of Spatial Variability: Field Examples Having Implications for Hydrologic Modeling

TL;DR: In this paper, the authors examine how the nature of spatial variability affects hydrologic response over a range of scales using five field studies as examples, and they have emphasized how that characterization may change with the scale of hydrology model.
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Soil moisture states, lateral flow, and streamflow generation in a semi-arid, snowmelt-driven catchment

TL;DR: In this paper, the authors investigated the relationship between soil moisture patterns, lateral hillslope flow, and streamflow generation in a semi-arid, snowmelt-driven catchment.
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Measurement of soil water content with a 50-MHz soil dielectric sensor

TL;DR: In this paper, the authors evaluated the accuracy and precision of Hydra Probe measurements, established an electrical conductivity limit for Hydra probe measurements, and document effects of soil type and temperature, and relate these results to much more thoroughly studied relationships established for time domain reflectometry.
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Dielectric Loss and Calibration of the Hydra Probe Soil Water Sensor

TL;DR: In this paper, the performance of the Hydra Probe soil water sensor with the following objectives: (i) quantify the inter-sensor variability, (ii) evaluate the applicability of data from two commonly used calibration methods, and (iii) develop and test two multi-soil calibration equations, one general, “default” calibration equation and a second calibration that incorporates the effects of soil properties.