@sdsmt.edu
Associate Professor of Civil & Environmental Engineering and Director, SD Mines Atmospheric & Environmental Sciences
South Dakota School of Mines and Technology
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Nicholas Claggett, Andrea Surovek, William Capehart, and Khosro Shahbazi
American Society of Civil Engineers (ASCE)
Shih‐Yu Wang, Kirsti Hakala, Robert R. Gillies, and William J. Capehart
American Geophysical Union (AGU)
Measurements taken by the Gravity Recovery and Climate Experiment satellites indicated a continued water storage increase over the Missouri River Basin (MRB) prior to the 2011 flood event. An analysis of the major hydrologic variables in the MRB, i.e., those of soil moisture, streamflow, groundwater storage, and precipitation, show a marked variability at the 10–15 year time scale coincident with the water storage increase. A climate diagnostic analysis was conducted to determine what climate forcing conditions preceded the long‐term changes in these variables. It was found that precipitation over the MRB undergoes a profound modulation during the transition points of the Pacific quasi‐decadal oscillation and associated teleconnections. The results infer a prominent teleconnection forcing in driving the wet/dry spells in the MRB, and this connection implies persistence of dry conditions for the next 2 to 3 years.
Patrick R. Zimmerman, Karen Updegraff, William Capehart, Maribeth Price, and Lee Vierling
Elsevier
Karen Updegraff, Patrick R. Zimmerman, Maribeth Price, and William J. Capehart
Elsevier BV
Patrick R. Zimmerman, Maribeth Price, Changhui Peng, William J. Capehart, Karen Updegraff, Patrick Kozak, Lee Vierling, Elaine Baker, Fred Kopp, Genet Duke,et al.
Springer Science and Business Media LLC
J. Wang, M. R. Hjelmfelt, W. J. Capehart, and R. D. Farley
American Meteorological Society
Todd M. Crawford, David J. Stensrud, Toby N. Carlson, and William J. Capehart
American Meteorological Society
William J. Capehart and Toby N. Carlson
American Geophysical Union (AGU)
Inconsistencies between remotely sensed (thermal infrared), in situ, and modeled values of soil water content are examined. First, an important hydraulic parameter in a soil water profile model is varied by one standard deviation to simulate a reasonable degree of spatial variability within a given soil texture class. This results in a large range of drying rates at the soil surface and the formation of a sharp vertical soil water gradient at the surface. The formation of this gradient is dependent upon the soil properties. Thermal infrared remote sensing, which detects soil moisture at the soil surface, is then discussed in this context. Because of the “decoupling” of the soil water profile, we conclude that soil moisture derived from surface radiant temperatures is probably not useful in knowing the column‐average soil water content but may provide some insight into the spatial variations in soil texture and hydraulic properties at the surface.
Toby N. Carlson, William J. Capehart, and Robert R. Gillies
Elsevier BV
W.J. Capehart and T.N. Carlson
Elsevier BV
Christopher B. Smith, Mercedes N. Lakhtakia, William J. Capehart, and Toby N. Carlson
American Meteorological Society