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Geology topics

George H. Leavesley

Publications and source records attributed to George H. Leavesley.

8 recordsLinked to original sources

Spatial interpolation schemes of daily precipitation for hydrologic modeling

Distributed hydrologic models typically require spatial estimates of precipitation interpolated from sparsely located observational points to the specific grid points. We compare and contrast the performance of regression-based statistical methods for the spatial estimation of precipitation in two hydrologically different basins and confirmed that widely used regression-based estimation schemes fail to describe the realistic spatial variability of daily precipitation field. The methods assessed are: (1) inverse distance weighted average; (2) multiple linear regression (MLR); (3) climatological MLR; and (4) locally weighted polynomial regression (LWP). In order to improve the performance of the interpolations, the authors propose a two-step regression technique for effective daily precipitation estimation. In this simple two-step estimation process, precipitation occurrence is first generated via a logistic regression model before estimate the amount of precipitation separately on wet days. This process generated the precipitation occurrence, amount, and spatial correlation effectively. A distributed hydrologic model (PRMS) was used for the impact analysis in daily time step simulation. Multiple simulations suggested noticeable differences between the input alternatives generated by three different interpolation schemes. Differences are shown in overall simulation error against the observations, degree of explained variability, and seasonal volumes. Simulated streamflows also showed different characteristics in mean, maximum, minimum, and peak flows. Given the same parameter optimization technique, LWP input showed least streamflow error in Alapaha basin and CMLR input showed least error (still very close to LWP) in Animas basin. All of the two-step interpolation inputs resulted in lower streamflow error compared to the directly interpolated inputs.

Colorado, Georgia

An evaluation of the Wyoming Gauge System for snowfall measurement

The Wyoming snow fence (shield) has been widely used with precipitation gauges for snowfall measurement at more than 25 locations in Alaska since the late 1970s. This gauge's measurements have been taken as the reference for correcting wind‐induced gauge undercatch of snowfall in Alaska. Recently, this fence (shield) was tested in the World Meteorological Organization Solid Precipitation Measurement Intercomparison Project at four locations in the United States of America and Canada for six winter seasons. At the Intercomparison sites an octagonal vertical Double Fence with a Russian Tretyakov gauge or a Universal Belfort recording gauge was installed and used as the Intercomparison Reference (DFIR) to provide true snowfall amounts for this Intercomparison experiment. The Intercomparison data collected were compiled at the four sites that represent a variety of climate, terrain, and exposure. On the basis of these data sets the performance of the Wyoming gauge system for snowfall observations was carefully evaluated against the DFIR and snow cover data. The results show that (1) the mean snow catch efficiency of the Wyoming gauge compared with the DFIR is about 80–90%, (2) there exists a close linear relation between the measurements of the two gauge systems and this relation may serve as a transfer function to adjust the Wyoming gauge records to obtain an estimate of the true snowfall amount, (3) catch efficiency of the Wyoming gauge does not change with wind speed and temperature, and (4) Wyoming gauge measurements are generally compatible to the snowpack water equivalent at selected locations in northern Alaska. These results are important to our effort of determining true snowfall amounts in the high latitudes, and they are also useful for regional hydrologic and climatic analyses.

Water Resources Research

Meteorological Data near Rabbit Ears Pass, Colorado, U.S.A., 1984-2008

In 1983, a snowmelt energy budget study was initiated by the U.S. Geological Survey on a small watershed near Rabbit Ears Pass, Colorado, to better understand snowmelt processes. The study included data collection from hydrological and meteorological instrumentation. Interest in long term, high-altitude meteorological sites has increased recently due to the increased awareness of global climate change. The meteorological data collected near Rabbit Ears Pass may aid researchers involved in global climate change studies. Meteorological data from 1984 to 2008 are presented.

Data Series

Section 4. The GIS Weasel User's Manual

INTRODUCTION The GIS Weasel was designed to aid in the preparation of spatial information for input to lumped and distributed parameter hydrologic or other environmental models. The GIS Weasel provides geographic information system (GIS) tools to help create maps of geographic features relevant to a user's model and to generate parameters from those maps. The operation of the GIS Weasel does not require the user to be a GIS expert, only that the user have an understanding of the spatial information requirements of the environmental simulation model being used. The GIS Weasel software system uses a GIS-based graphical user interface (GUI), the C programming language, and external scripting languages. The software will run on any computing platform where ArcInfo Workstation (version 8.0.2 or later) and the GRID extension are accessible. The user controls the processing of the GIS Weasel by interacting with menus, maps, and tables. The purpose of this document is to describe the operation of the software. This document is not intended to describe the usage of this software in support of any particular environmental simulation model. Such guides are published separately.

Techniques and Methods

Quantification of precipitation measurement discontinuity induced by wind shields on national gauges

Various combinations of wind shields and national precipitation gauges commonly used in countries of the northern hemisphere have been studied in this paper, using the combined intercomparison data collected at 14 sites during the World Meteorological Organization's (WMO) Solid Precipitation Measurement Intercomparison Project. The results show that wind shields improve gauge catch of precipitation, particularly for snow. Shielded gauges, on average, measure 20–70% more snow than unshielded gauges. Without a doubt, the use of wind shields on precipitation gauges has introduced a significant discontinuity into precipitation records, particularly in cold and windy regions. This discontinuity is not constant and it varies with wind speed, temperature, and precipitation type. Adjustment for this discontinuity is necessary to obtain homogenous precipitation data for climate change and hydrological studies. The relation of the relative catch ratio (RCR, ratio of measurements of shielded gauge to unshielded gauge) versus wind speed and temperature has been developed for Alter and Tretyakov wind shields. Strong linear relations between measurements of shielded gauge and unshielded gauge have also been found for different precipitation types. The linear relation does not fully take into account the varying effect of wind and temperature on gauge catch. Overadjustment by the linear relation may occur at those sites with lower wind speeds, and underadjustment may occur at those stations with higher wind speeds. The RCR technique is anticipated to be more applicable in a wide range of climate conditions. The RCR technique and the linear relation have been tested at selected WMO intercomparison stations, and reasonable agreement between the adjusted amounts and the shielded gauge measurements was obtained at most of the sites. Test application of the developed methodologies to a regional or national network is therefore recommended to further evaluate their applicability in different climate conditions. Significant increase of precipitation is expected due to the adjustment particularly in high latitudes and other cold regions. This will have a meaningful impact on climate variation and change analyses.

Water Resources Research

Nested-model approach to investigate climate change

Determination of the spatial and temporal distribution of precipitation in mountainous regions is critical for assessing the effects of climate variability on water resources in these regions. Potential effects of climate change on water resources in the Gunnison River basin of southwestern Colorado currently are being studied using a nested-model approach to disaggregate large-scale general circulation model output to account for smaller-scale processes. This paper presents a disaggregation technique in which scenarios of possible climate change will be developed by nesting a global general circulation model, a mesoscale climate model, a local orographic precipitation model, and a watershed model.

Conference Paper

Simulated effects of oil-shale development on the hydrology of Piceance basin, Colorado

The Piceance and Yellow Creeks drainage area is about 900 square miles (2,330 square kilometres) and is referred to as the Piceance basin, or simply as the basin. The surface-water and ground-water systems in the Piceance basin are intimately related. The annual volume of runoff from the basin (Piceance and Yellow Creeks) is estimated to be 15,650 acre-feet (19.2 cubic hectometres). About 80 percent of the annual runoff is supplied by ground-water discharge. Runoff from the basin is affected by irrigation diversions and consumptive use by crops, native vegetation, and evporation. Streamflow depletions resulting from irrigation are estimated to be 4,800 acre-feet (5.9 cubic hectometres) per year. In the absence of irrigation, the mean annual runoff from the basin would be 20,450 acre-feet (25.2 cubic hectometres). The period of lowest flow normally occurs during spring and summer when irrigation diversions are greatest. Peak flows from snowmelt and thunderstorms also occur during this period. A regional analysis, using the index-flood method, was made to estimate flood frequencies in the absence of irrigation diversions for the gaging stations Piceance Creek at White River and Yellow Creek near White River. The estimated mean annual floods are 800 cubic feet per second (22.7 cubic metres per second) for Piceance Creek and 390 cubic feet per second (11.0 cubic metres per second) for Yellow Creek. The peak flow observed during the 5 years of record on Piceance Creek at White River was 407 cubic feet per second (11.5 cubic metres per second) or about one-half the estimated mean annual flood. Yellow Creek is only slightly affected by irrigation diversions and the peak flow for the single year of record was 468 cubic feet per second (13.3 cubic metres per second). Irrigation return flows and ground-water discharge affect the quality of surface water in the Piceance basin. The concentration of dissolved solids ranges from less than 500 milligrams per litre in the upper reaches to more than 5,000 milligrams per litre in the lower reaches of Piceance Creek and from about 700 to 3,000 milligrams per litre in Yellow Creek. Water quality decreases in the downstream direction due to ground-water discharge from the Green River and Uinta Formations. The ground-water system in the basin consists of two principal aquifers separated by the Mahogany zone in the Green River Formation. Recharge to the aquifers occurs mainly from snowmelt along the basin margins above 7,000 feet (2,130 metres) altitude. Ground water flows from the basin margins toward the north-central part of the basin where it is discharged in Piceance and Yellow Creek valleys as evapotranspiration and streamflow. Recharge and discharge from the aquifer system are estimated to average 26,100 acre-feet (32.2 cubic hectometres) annually. About 20 percent of the recharge is discharged in Yellow Creek drainage. Estimates of the volume of water in storage in the aquifers range from 2.5 to 25 million acre-feet (3,100 to 31,000 cubic hectometres). Sodium minerals in the aquifer below the Mahogany zone are actively being dissolved by ground water. The Mahogany zone impedes the flow of water between the aquifers and large chemical differences have developed. Water in the upper aquifer generally has less than 2,000 millgrams per litre dissolved solids while that in the lower aquifer exceeds 30,000 milligrams per litre dissolved solids in the northern part of the basin. Digital models were used to simulate the hydrologic system. A watershed model was adapted to the drainage above the gage on Piceance Creek below Ryan Gulch to evaluate the possible effects of precipitation changes on the hydrologic system due to the introduction of atmospheric pollutants from oil-shale development or cloud seeding. A 10-percent decrease and 10- and 20-percent increases in the October to May precipitation were examined. It was found that each 10-percent change in precipitation results in a 40-percent change in ground-water recharge. The model study indicates that a 10-percent decrease in October-May precipitation results in a 30-percent decrease in mean annual runoff while 10-and 20-percent increases in precipitation result in 40- and 85 percent increases in mean annual runoff. A digital model of the ground-water system was used to evaluate the effects of mine dewatering on the hydrologic system. Hypothetical mines in oil-shale lease tracts C-a and C-b were considered. Both mines were assumed to be in the Mahogany zone and to be 4 square miles (5.2 square kilometres) in area. Dewatering of the mines was assumed to occur simultaneously for a period of 30 years. For the hypothetical dewatering scheme simulated, the model study indicates that the mine in tract C-a will not produce enough water to meet the demand for processing and disposal of oil shale while the mine in tract C-b will produce water in excess of the demand. The concentration of dissolved solids of the water discharged from the mines may not exceed 5,000 milligrams per litre for the hypothetical dewatering scheme considered. Dewatering the hypothetical mines will only slightly affect groundwater discharge in the Yellow Creek drainage. However, after 30 years of dewatering, the model indicates that ground-water discharge will cease in a 10-mile (16-kilometre) reach of Piceance Creek near tract C-b. The decrease in ground-water discharge in this reach could cause an increase in the concentration of dissolved solids in the downstream reach of Piceance Creek. After 30 years of dewatering, the hydraulic head in the aquifers is decreased in 75 percent of the basin area and about 500,000 acre-feet (620 cubic hectometres) of water are removed from storage in the aquifers. It is concluded that oil-shale development will have significant effects on the surface- and ground-waters systems in the Piceance basin.

Colorado