Quantifying mesoscale soil moisture with the cosmic-ray rover
Soil moisture governs the surface fluxes of mass and energy and is a major influence on floods and drought. Existing techniques measure soil moisture either at a point or over a large area many kilometers across. To bridge these two scales we used the cosmic-ray rover, an instrument similar to the r...
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Copernicus Publications
2018
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oai:localhost:DHQB_123456789-38502018-10-22T08:43:54Z Quantifying mesoscale soil moisture with the cosmic-ray rover Hydrology and Earth System Sciences B. Chrisman (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) M. Zreda (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) Technology: Environmental technology. Sanitary engineering Geography. Anthropology. Recreation: Environmental sciences Soil moisture governs the surface fluxes of mass and energy and is a major influence on floods and drought. Existing techniques measure soil moisture either at a point or over a large area many kilometers across. To bridge these two scales we used the cosmic-ray rover, an instrument similar to the recently developed COSMOS probe, but bigger and mobile. This paper explores the challenges and opportunities for mapping soil moisture over large areas using the cosmic-ray rover. In 2012, soil moisture was mapped 22 times in a 25 km × 40 km survey area of the Tucson Basin at an average of 1.7 km<sup>2</sup> resolution, i.e., a survey area extent comparable to that of a pixel for the Soil Moisture and Ocean Salinity (SMOS) satellite mission. The soil moisture distribution is dominated by climatic variations, notably by the North American monsoon, that results in a systematic increase in the standard deviation, observed up to 0.022 m<sup>3</sup> m<sup>−3</sup>, as a function of the mean, between 0.06 m<sup>3</sup> m<sup>−3</sup> and 0.14 m<sup>3</sup> m<sup>−3</sup>. Two techniques are explored to use the cosmic-ray rover data for hydrologic applications: (1) interpolation of the 22 surveys into a daily soil moisture product by defining an approach to utilize and quantify the observed temporal stability producing an average correlation coefficient of 0.82 for the soil moisture distributions that were surveyed, and (2) estimation of soil moisture profiles by combining surface moisture from satellite microwave sensors (SMOS) with deeper measurements from the cosmic-ray rover. The interpolated soil moisture and soil moisture profiles allow for basin-wide mass balance calculation of evapotranspiration, which amounted to 241 mm in 2012. Generating soil moisture maps with a cosmic-ray rover at this intermediate scale may help in the calibration and validation of satellite soil moisture data products and may also aid in various large-scale hydrologic studies. 2018-08-23T08:15:03Z 2018-08-23T08:15:03Z 2013 Other http://lrc.quangbinhuni.edu.vn:8181/dspace/handle/DHQB_123456789/3850 en_US Copernicus Publications |
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Trung tâm Học liệu Đại học Quảng Bình (Dspace) |
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Trung tâm Học liệu Đại học Quảng Bình (Dspace) |
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en_US |
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Technology: Environmental technology. Sanitary engineering Geography. Anthropology. Recreation: Environmental sciences |
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Technology: Environmental technology. Sanitary engineering Geography. Anthropology. Recreation: Environmental sciences B. Chrisman (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) M. Zreda (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) Quantifying mesoscale soil moisture with the cosmic-ray rover |
| description |
Soil moisture governs the surface fluxes of mass and energy and is a major influence on floods and drought. Existing techniques measure soil moisture either at a point or over a large area many kilometers across. To bridge these two scales we used the cosmic-ray rover, an instrument similar to the recently developed COSMOS probe, but bigger and mobile. This paper explores the challenges and opportunities for mapping soil moisture over large areas using the cosmic-ray rover. In 2012, soil moisture was mapped 22 times in a 25 km × 40 km survey area of the Tucson Basin at an average of 1.7 km<sup>2</sup> resolution, i.e., a survey area extent comparable to that of a pixel for the Soil Moisture and Ocean Salinity (SMOS) satellite mission. The soil moisture distribution is dominated by climatic variations, notably by the North American monsoon, that results in a systematic increase in the standard deviation, observed up to 0.022 m<sup>3</sup> m<sup>−3</sup>, as a function of the mean, between 0.06 m<sup>3</sup> m<sup>−3</sup> and 0.14 m<sup>3</sup> m<sup>−3</sup>. Two techniques are explored to use the cosmic-ray rover data for hydrologic applications: (1) interpolation of the 22 surveys into a daily soil moisture product by defining an approach to utilize and quantify the observed temporal stability producing an average correlation coefficient of 0.82 for the soil moisture distributions that were surveyed, and (2) estimation of soil moisture profiles by combining surface moisture from satellite microwave sensors (SMOS) with deeper measurements from the cosmic-ray rover. The interpolated soil moisture and soil moisture profiles allow for basin-wide mass balance calculation of evapotranspiration, which amounted to 241 mm in 2012. Generating soil moisture maps with a cosmic-ray rover at this intermediate scale may help in the calibration and validation of satellite soil moisture data products and may also aid in various large-scale hydrologic studies. |
| format |
Other |
| author |
B. Chrisman (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) M. Zreda (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) |
| author_facet |
B. Chrisman (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) M. Zreda (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) |
| author_sort |
B. Chrisman (Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA) |
| title |
Quantifying mesoscale soil moisture with the cosmic-ray rover |
| title_short |
Quantifying mesoscale soil moisture with the cosmic-ray rover |
| title_full |
Quantifying mesoscale soil moisture with the cosmic-ray rover |
| title_fullStr |
Quantifying mesoscale soil moisture with the cosmic-ray rover |
| title_full_unstemmed |
Quantifying mesoscale soil moisture with the cosmic-ray rover |
| title_sort |
quantifying mesoscale soil moisture with the cosmic-ray rover |
| publisher |
Copernicus Publications |
| publishDate |
2018 |
| url |
http://lrc.quangbinhuni.edu.vn:8181/dspace/handle/DHQB_123456789/3850 |
| _version_ |
1717292451071262720 |
| score |
9,463379 |