Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Kenneth J. Tobin"'
Autor:
Kenneth J. Tobin, Marvin E. Bennett
Publikováno v:
Water, Vol 12, Iss 7, p 2039 (2020)
This study examined eight Great Plains moderate-sized (832 to 4892 km2) watersheds. The Soil and Water Assessment Tool (SWAT) autocalibration routine SUFI-2 was executed using twenty-three model parameters, from 1995 to 2015 in each basin, to identif
Externí odkaz:
https://doaj.org/article/f518c94b7420455d9f1b21e321ba2558
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 2037 (2020)
Root zone soil moisture (RZSM) is one of the least-monitored variables within the hydrologic cycle. Given the importance of RZSM to agriculture, more effort is needed to understand the potential impacts of the El Niño southern oscillation (ENSO), Pa
Externí odkaz:
https://doaj.org/article/9ca45173438d4d889ef0d53c245beeaf
Autor:
Kenneth J. Tobin, Marvin E. Bennett
Publikováno v:
Water, Vol 11, Iss 1, p 112 (2019)
Over the last decade, autocalibration routines have become commonplace in watershed modeling. This approach is most often used to simulate a streamflow at a basin’s outlet. In alpine settings, spring/early summer snowmelt is by far the dominant sig
Externí odkaz:
https://doaj.org/article/5ae7fe869b014a0b9b82bbb385ccb1ca
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
A long-standing goal in the terrestrial remote sensing community has been the development of a root-zone soil moisture (RZSM) product based on microwave radar or radiometry observations. For example, the National Aeronautics and Space Administration'
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faf2c1c2a39a666b39d11a7138f3690b
https://doi.org/10.1109/lgrs.2021.3085432
https://doi.org/10.1109/lgrs.2021.3085432
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 12; Pages: 7262
The soil-borne fungal disease coccidioidomycosis (Valley fever) is prevalent across the southwestern United States (US). Previous studies have suggested that the occurrence of this infection is associated with anomalously wet or dry soil moisture sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83af48bf343198aa56294561b98aab84
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:3351-3365
Soil MERGE (SMERGE) is a 0.125°, root-zone soil moisture (RZSM) product (0–40-cm depth) generated within the contiguous United States (CONUS). This product is developed by merging RZSM output from the North American land data assimilation system (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e30f5618ef5f123aedcfedbefe2ef29
https://doi.org/10.1109/jstars.2019.2930946
https://doi.org/10.1109/jstars.2019.2930946
Publikováno v:
Remote Sensing
Volume 12
Issue 12
Remote Sensing, Vol 12, Iss 2037, p 2037 (2020)
Volume 12
Issue 12
Remote Sensing, Vol 12, Iss 2037, p 2037 (2020)
Root zone soil moisture (RZSM) is one of the least-monitored variables within the hydrologic cycle. Given the importance of RZSM to agriculture, more effort is needed to understand the potential impacts of the El Niñ
o southern oscillation
o southern oscillation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f3a49c34793d96b0393007596f1df54
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Pp 4403-4417 (2017)
This study applied the exponential filter to produce an estimate of root-zone soil moisture (RZSM). Four types of microwave-based, surface satellite soil moisture were used. The core remotely sensed data for this study came from NASA’s long lasting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27492052ac64927ce0313d2ecbd64fb8
https://doi.org/10.5194/hess-21-4403-2017
https://doi.org/10.5194/hess-21-4403-2017
Autor:
Kenneth J. Tobin, Marvin E. Bennett
Publikováno v:
JAWRA Journal of the American Water Resources Association. 53:593-604
Historically, many watershed studies have been based on using the streamflow flux, typically from a single gauge at the basin's outlet, to support calibration. In this setting, there is great potential for equifinality of parameters during the optimi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12c830f81d6fe828becb002ea18cda63
https://doi.org/10.1111/1752-1688.12516
https://doi.org/10.1111/1752-1688.12516
Autor:
Mark S. Seyfried, Patrick J. Starks, Wade T. Crow, Michael H. Cosh, Jianzhi Dong, Kenneth J. Tobin, David D. Bosch, Chandra Holifield Collins
Publikováno v:
Remote Sensing of Environment. 242:111756
Climatology (mean seasonal cycle) errors often cause large differences between soil moisture products. However, relatively little work has been done to objectively evaluate soil moisture mean seasonal cycle (SMC) information acquired from different s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01681f04b47dacd7989936f09d529a5f
https://doi.org/10.1016/j.rse.2020.111756
https://doi.org/10.1016/j.rse.2020.111756