David M Wolock, Ph.D.
David Wolock is a Supervisory Hydrologist with the USGS Water Resources Mission Area.
Science and Products
Filter Total Items: 13
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Explaining spatial variability in mean annual runoff in the conterminous United States Explaining spatial variability in mean annual runoff in the conterminous United States
The hydrologic concepts needed in a water-balance model to estimate the spatial variation in mean annual runoff for the 344 climate divisions in the conterminous United States (U.S.) were determined. The concepts that were evaluated were the climatic supply of water (precipitation), climatic demand for water (potential evapotranspiration), seasonality in supply and demand, and soil...
Authors
David M. Wolock, Gregory J. McCabe
Combining digital spatial data with hydrologic measurements to interpret controls of stream chemistry in large watersheds Combining digital spatial data with hydrologic measurements to interpret controls of stream chemistry in large watersheds
No abstract available.
Authors
Yvonne H. Baevsky, Gregory B. Lawrence, David M. Wolock, Douglas A. Burns, Peter S. Murdoch
Effects of basin size on low-flow stream chemistry and subsurface contact time in the neversink river watershed, New York Effects of basin size on low-flow stream chemistry and subsurface contact time in the neversink river watershed, New York
The effects of basin size on low-flow stream chemistry and subsurface contact time were examined for a part of the Neversink River watershed in southern New York State. Acid neutralizing capacity (ANC), the sum of base cation concentrations (SBC), pH and concentrations of total aluminum (Al), dissolved organic carbon (DOC) and silicon (Si) were measured during low stream flow at the...
Authors
D.M. Wolock, J. Fan, G.B. Lawrence
Climate change and the detection of trends in annual runoff Climate change and the detection of trends in annual runoff
This study examines the statistical likelihood of detecting a trend in annual runoff given an assumed change in mean annual runoff, the underlying year-to-year variability in runoff, and serial correlation of annual runoff. Means, standard deviations, and lag-1 serial correlations of annual runoff were computed for 585 stream gages in the conterminous United States, and these statistics...
Authors
G. J. McCabe, D.M. Wolock
Scale and modeling issues in water resources planning Scale and modeling issues in water resources planning
Resource planners and managers interested in utilizing climate model output as part of their operational activities immediately confront the dilemma of scale discordance. Their functional responsibilities cover relatively small geographical areas and necessarily require data of relatively high spatial resolution. Climate models cover a large geographical, i.e. global, domain and produce...
Authors
H.F. Lins, D.M. Wolock, G.J. McCabe
STATSGO soil characteristics for the conterminous United States STATSGO soil characteristics for the conterminous United States
This digital data release consists of an ARC/INFO grid and associated INFO tables. The grid is called MUID and has STATSGO (U.S. Department of Agriculture, 1994) soil mapping unit identifiers gridded on a 1-kilometer resolution for the conterminous United States. The INFO tables have soil characteristics data in them. The ITEMS in the tables are weighted average values for several soil
Authors
David M. Wolock
Science and Products
Filter Total Items: 13
No Result Found
Filter Total Items: 134
Explaining spatial variability in mean annual runoff in the conterminous United States Explaining spatial variability in mean annual runoff in the conterminous United States
The hydrologic concepts needed in a water-balance model to estimate the spatial variation in mean annual runoff for the 344 climate divisions in the conterminous United States (U.S.) were determined. The concepts that were evaluated were the climatic supply of water (precipitation), climatic demand for water (potential evapotranspiration), seasonality in supply and demand, and soil...
Authors
David M. Wolock, Gregory J. McCabe
Combining digital spatial data with hydrologic measurements to interpret controls of stream chemistry in large watersheds Combining digital spatial data with hydrologic measurements to interpret controls of stream chemistry in large watersheds
No abstract available.
Authors
Yvonne H. Baevsky, Gregory B. Lawrence, David M. Wolock, Douglas A. Burns, Peter S. Murdoch
Effects of basin size on low-flow stream chemistry and subsurface contact time in the neversink river watershed, New York Effects of basin size on low-flow stream chemistry and subsurface contact time in the neversink river watershed, New York
The effects of basin size on low-flow stream chemistry and subsurface contact time were examined for a part of the Neversink River watershed in southern New York State. Acid neutralizing capacity (ANC), the sum of base cation concentrations (SBC), pH and concentrations of total aluminum (Al), dissolved organic carbon (DOC) and silicon (Si) were measured during low stream flow at the...
Authors
D.M. Wolock, J. Fan, G.B. Lawrence
Climate change and the detection of trends in annual runoff Climate change and the detection of trends in annual runoff
This study examines the statistical likelihood of detecting a trend in annual runoff given an assumed change in mean annual runoff, the underlying year-to-year variability in runoff, and serial correlation of annual runoff. Means, standard deviations, and lag-1 serial correlations of annual runoff were computed for 585 stream gages in the conterminous United States, and these statistics...
Authors
G. J. McCabe, D.M. Wolock
Scale and modeling issues in water resources planning Scale and modeling issues in water resources planning
Resource planners and managers interested in utilizing climate model output as part of their operational activities immediately confront the dilemma of scale discordance. Their functional responsibilities cover relatively small geographical areas and necessarily require data of relatively high spatial resolution. Climate models cover a large geographical, i.e. global, domain and produce...
Authors
H.F. Lins, D.M. Wolock, G.J. McCabe
STATSGO soil characteristics for the conterminous United States STATSGO soil characteristics for the conterminous United States
This digital data release consists of an ARC/INFO grid and associated INFO tables. The grid is called MUID and has STATSGO (U.S. Department of Agriculture, 1994) soil mapping unit identifiers gridded on a 1-kilometer resolution for the conterminous United States. The INFO tables have soil characteristics data in them. The ITEMS in the tables are weighted average values for several soil
Authors
David M. Wolock