Roy Sando is a remote sensing and GIS specialist working with the Wyoming-Montana Water Science Center and is based out of Helena, Montana. He started working with the USGS in 2011 after getting his Master's degree in Geography at Kansas State University (2011). Prior to that, he completed his Bachelor's degree, majoring in both Geography and GIS, at South Dakota State University (2008).
Research interests include understanding and modeling the mechanisms of streamflow permanence, using data mining techniques to develop novel predictors of streamflow permanence and other hydrologic phenomena, using remote sensing techniques to estimate consumptive water use from irrigation, and exploring new ways to visualize geospatial data.
Key projects Roy has worked on include:
PRObability of Streamflow PERmanence (PROSPER)
§ Primary Investigator – Develop predictive models to estimate the annual probability that a particular location along streams in the Pacific Northwest will retain year-round streamflow.
Assessment of water use associated with unconventional oil and gas development
§ Task Lead – Worked as part of the modeling team to build and publish a conceptual model for quantifying water use associated with unconventional oil and gas. Additionally, constructed statistical models to predict water use associated with unconventional oil and gas under varying conditions.
Channel-width regression equations
§ Task Lead –Develop statistical equations to predict flood frequencies at ungaged locations using remotely-sensed channel width characteristics.
National Groundwater Availability Studies spatial data archiving
§ Team member –Review spatial datasets associated with groundwater availability studies and prepare them for publication
Spatial analysis of nutrient inputs to Fish Creek watershed, Wyoming
§ Task Lead – Compile and conduct spatial analysis on datasets representing sources of nutrient inputs. Create a grid of nutrient input intensities
Salish-Kootenai College GIS/remote sensing training
§ Primary Investigator – Develop training materials for introductory through advanced GIS courses at the Salish-Kootenai College
Estimating streamflow at ungaged locations using flood frequency regressions
§ Task Lead – Develop regression equations for use in determining streamflow and flood frequency estimates at ungaged locations throughout Montana and surrounding area
Eastern Montana future fisheries modeling
§ Task Lead – Estimate streamflow at ungaged fish sampling sites throughout eastern Montana for current and future climate scenarios
Williston and Powder River (WaPR) Basin groundwater availability
§ GIS specialist for project – Major tasks included a primary role in building and visualizing the 3-dimensional hydrogeologic framework, estimating unit boundaries based on geospatial statistical analyses, and organizing and archiving multiple datasets
Smith River watershed hydrologic budget
§ Task Lead – Use remote sensing techniques to estimate evapotranspiration in the Smith River watershed of central Montana
Predicting Alpine Headwater Stream Intermittency
§ Task Lead – Collect and analyze environmental, geological,
Science and Products
From Water to Wildlife: Linking Water Timing and Availability to Meadows and Wildlife in a Changing Climate
The Implications of Stream Fragmentation for Climate Change Resilience of Northern Prairie Fishes
Development of a Surface Water Index of Permanence (SWIPe) Database to Assess Surface Water Availability for Ecohydrological Refugia
Using Satellite Imagery to Estimate Consumptive Water Use from Irrigated Lands in the Milk River Basin, United States and Canada
Building a framework to compute continuous grids of basin characteristics for the conterminous United States
Geospatial Research and Development to Understand Hydrologic Processes
Probability of Streamflow Permanence (PROSPER)
Development of Recommended Practices and Workflow for Publishing Digital Data through ScienceBase for Dynamic Visualization
Identifying Resilient Headwater Streams to Mitigate Impacts of Future Drought in the Northwest
Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States
Probability of Streamflow Permanence (PROSPER) output rasters, 1989-2018, upper Missouri River Basin
Field-Verified Irrigated Lands Dataset in the Milk River Basin of Montana and Alberta, 2021 and 2022
U.S. Streamflow Drought During the Last Century: annual drought and low flow metrics, annual climate, and trends for the periods 1921-2020, 1951-2020 and 1981-2020
Reach-scale predicted annual streamflow permanence probabilities, predicted monthly mean stream temperature for August, and predicted monthly streamflow discharge for stream reaches in the Pacific Northwest, USA (2004-2015) (ver. 2.0, January 2023)
Drainage-basin characteristics associated with road and stream intersections in Montana
Flow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset
Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015
Streamflow Observation Points in the Upper Plains, 1973-2018
Channel width measurements for selected streamgage sites in Montana
Data to Estimate Water Use Associated with Continuous Oil and Gas Development, Williston Basin, United States, 1980-2017 (ver. 3.0, October 2022)
RockType to Permeability Crosswalk Table, Northwest U.S.
Regional streamflow drought forecasting in the Colorado River Basin using Deep Neural Network models
Predicting probabilities of late summer surface flow presence in a glaciated mountainous headwater region
A hydrologic perspective of major U.S. droughts
Predictions and drivers of sub-reach-scale annual streamflow permanence for the upper Missouri River basin: 1989-2018
Precision of headwater stream permanence estimates from a monthly water balance model in the Pacific Northwest, USA
Regional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011
Using satellite imagery to estimate consumptive water use from irrigated lands in the Milk River Basin, United States and Canada
Beyond streamflow: Call for a national data repository of streamflow presence for streams and rivers in the United States
The influence of climate variability on the accuracy of NHD perennial and non-perennial stream classifications
A guidebook to spatial datasets for conservation planning under climate change in the Pacific Northwest
Regional patterns in hydrologic response, a new three-component metric for hydrograph analysis and implications for ecohydrology, Northwest Volcanic Aquifer Study Area, USA
Probability of streamflow permanence model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Flow-Conditioned Parameter Grid Tools
The Flow-Conditioned Parameter Grid (FCPG) Tools are a Python 3 library to make FCPGs for either two-digit Hydrologic Unit Code (HUC2) regions, four-digit Hydrologic Unit Code (HUC4) regions, or other geospatial tiling schemes. These tools can be used in a Linux-based high performance computing (HPC) environment or locally on your system.
Science and Products
- Science
From Water to Wildlife: Linking Water Timing and Availability to Meadows and Wildlife in a Changing Climate
Mountain meadows in the western United States provide key habitats for many plant and wildlife species, many of which rely exclusively on these areas. Mountain meadows are also treasured by the public and provide beautiful areas to view wildflowers and wildlife on public lands such as national parks. However, mountain ecosystems are expected to be disproportionately affected by climate change. TheThe Implications of Stream Fragmentation for Climate Change Resilience of Northern Prairie Fishes
Dry stream sections are characteristic of most prairie streams. Native fish are highly adapted to variable environments, using refuge habitats (e.g., remaining wet stream fragments) to recolonize areas after seasonal drying. However, dams and other barriers can prevent recolonization of seasonally-dry stream sections habitats known to be critical spawning and rearing areas for many species. This pDevelopment of a Surface Water Index of Permanence (SWIPe) Database to Assess Surface Water Availability for Ecohydrological Refugia
Surface-water availability has been identified as one of the biggest issues facing society in the 21st century. Where and when water is on the landscape can have profound impacts on the economy, wildlife behavior, recreational use, industrial practices, energy development, and many other aspects of life, society, and the environment. Projections indicate that surface-water availability will be genUsing Satellite Imagery to Estimate Consumptive Water Use from Irrigated Lands in the Milk River Basin, United States and Canada
The U.S. Geological Survey, with the support of the International Joint Commission, and in cooperation with Alberta Environment and Parks, Blackfeet Nation, Environment and Climate Change Canada, and Montana Department of Natural Resources and Conservation, is leading a project that should improve information available to apportion water between Canada and the United States in the St. Mary and...Building a framework to compute continuous grids of basin characteristics for the conterminous United States
The proposed work will create a seamless pilot dataset of continuous basin characteristics (for example upstream average precipitation, elevation, or dominant land cover type) for the conterminous United States. Basin characteristic data are necessary for training or parameterizing statistical, machine learning, and physical models, and for making predictions across the landscape, particularly inGeospatial Research and Development to Understand Hydrologic Processes
All natural phenomena have a spatial component. Remote sensing, GIS, and geostatistical methods can be used to evaluate the spatial components of hydrologic phenomena and understand characteristics, such as water quality, streamflow, and hydraulics.Probability of Streamflow Permanence (PROSPER)
PRObability of Streamflow PERmanence (PROSPER) Rivers and streams are constantly changing. Streamflows can change throughout the year and between years due to snowmelt, precipitation, diversions, and return flows. For many streams, these fluctuations determine whether a stream has year-round flow or not. PROSPER is a project initiated to better understand what causes these fluctuations in...Development of Recommended Practices and Workflow for Publishing Digital Data through ScienceBase for Dynamic Visualization
The purpose of this project was to document processes for USGS scientists to organize and share data using ScienceBase, and to provide an example interactive mapping application to display those data. Data and maps from Chase and others (2016a, b) were used for the example interactive maps. Principal Investigator : Katherine J Chase, Andy Bock, Thomas R Sando Accomplishments The accomplishmentIdentifying Resilient Headwater Streams to Mitigate Impacts of Future Drought in the Northwest
Streams are classified as perennial (flowing uninterrupted, year-round) or intermittent (flowing part of the year) or ephemeral (flowing only during rainfall events). The classifications of “streamflow permanence” were primarily established in the middle 20th century and are often outdated and inaccurate today if they were not adjusted for changes in land use, wildfires, or climate.Understanding w... - Data
Filter Total Items: 14
Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States
This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to differentProbability of Streamflow Permanence (PROSPER) output rasters, 1989-2018, upper Missouri River Basin
The PROSPER output rasters represent the estimates of probability of annual streamflow permanence produced by the PRObability of Streamflow PERmanence (PROSPER) model, for years 1989 through 2018, in the upper Missouri River Basin of the United States. The PROSPER model is a raster-based empirical model with outputs representing probabilistic predictions of an unregulated and minimally impaired stField-Verified Irrigated Lands Dataset in the Milk River Basin of Montana and Alberta, 2021 and 2022
Field-verified irrigated lands data were collected for the Remote Sensing Component of the St. Mary-Milk Rivers Consumptive Use study to aid in the identification and delineation of agricultural fields that are irrigated in 2021 and 2022 in the Milk River basin. This field verification of irrigated fields will provide data that will be used to ground truth evapotranspiration estimates obtained inU.S. Streamflow Drought During the Last Century: annual drought and low flow metrics, annual climate, and trends for the periods 1921-2020, 1951-2020 and 1981-2020
This dataset contains annual flow metrics quantifying drought and low streamflows for USGS GAGES-2 gages in the contiguous U.S. satisfying data completeness checks for the periods 1921-2020, 1951-2020, and 1981-2020. The dataset also contains annual climate variables from the USGS Monthly Water Balance Model (MWBM). The dataset provides trend analysis outputs for annual drought and low flow metricReach-scale predicted annual streamflow permanence probabilities, predicted monthly mean stream temperature for August, and predicted monthly streamflow discharge for stream reaches in the Pacific Northwest, USA (2004-2015) (ver. 2.0, January 2023)
This dataset is a combination of annual Probability of Streamflow Permanence (PROSPER) predictions, Northwest Stream Temperature (NorWeST) predictions of monthly mean stream temperatures for August of each year, and predicted monthly streamflow discharge for stream reaches in the Pacific Northwest from the USGS database of natural monthly streamflow estimates, U.S., 2004-2015. The PROSPER model prDrainage-basin characteristics associated with road and stream intersections in Montana
This data release presents drainage-basin characteristics for 12,639 road and stream intersections in Montana. The drainage-basin characteristics presented include those computed by the Montana StreamStats application (McCarthy and others, 2016). Statistical analysis of the road and stream intersections was included in the report "Peak-Flow Variability, Peak-Flow Informational Needs, and ConsideraFlow-Conditioned Parameter Grids for the Contiguous United States: A Pilot, Seamless Basin Characteristic Dataset
Abstract To aid in parameterization of mechanistic, statistical, and machine learning models of hydrologic systems in the contiguous United States (CONUS), flow-conditioned parameter grids (FCPGs) have been generated describing upstream basin mean elevation, slope, land cover class, latitude, and 30-year climatologies of mean total annual precipitation, minimum daily air temperature, and maximum dAttributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015
The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, analyzed annual peak-flow data to determine if trends are present and provide attribution of trends where possible. Work for the national trend attributions for nonstationary annual peak-flow records was broken into seven regions that are loosely based off of two-digit hydrologic unit waStreamflow Observation Points in the Upper Plains, 1973-2018
This produced dataset includes spatially aggregated records of measurements and observations from public and private organizations across the Upper Missouri River Basin. For this dataset the Upper Missouri River Basin is defined as Hydrologic Unit Code 1002-1013, and includes the states of Montana, Wyoming, Utah, North Dakota, and South Dakota. Streamflow measurements are an essential part of undeChannel width measurements for selected streamgage sites in Montana
The WY-MT WSC conducted a study to develop regression equations for estimating peak-flow frequencies in Montana, using channel-width characteristics. Channel widths were measured in the field and from aerial photographs. This data release includes three child items: a table of field measurements, a table of measurements from aerial photographs, and a summary table of the data (field measurements aData to Estimate Water Use Associated with Continuous Oil and Gas Development, Williston Basin, United States, 1980-2017 (ver. 3.0, October 2022)
This U.S. Geological Survey (USGS) Data Release provides data to estimate water use associated with continuous oil and gas development in the Williston Basin during 1980-2017. Data included: Data records from the national hydraulic fracturing chemical registry, FracFocus, including the state, county, latitude and longitude of each well, and the year and volume of water used for hydraulic fracturiRockType to Permeability Crosswalk Table, Northwest U.S.
This table is a crosswalk or lookup table that classifies rock type (surface geology) by its permeability, or the ability to pass substances, such as liquids or gases. The rock types that are classified are located in the Northwest U.S. -- Oregon, Washington, Idaho, Utah, Nevada, Wyoming, and Montana. - Multimedia
- Publications
Filter Total Items: 29
Regional streamflow drought forecasting in the Colorado River Basin using Deep Neural Network models
Process-based, large-scale (e.g., conterminous United States [CONUS]) hydrologic models have struggled to achieve reliable streamflow drought performance in arid regions and for low-flow periods. Deep learning has recently seen broad implementation in streamflow prediction and forecasting research projects throughout the world with performance often equaling or exceeding that of process-based modeAuthorsScott Douglas Hamshaw, Phillip J. Goodling, Konrad Hafen, John C. Hammond, Ryan R. McShane, Roy Sando, Apoorva Ramesh Shastry, Caelan E. Simeone, David Watkins, Elaheh (Ellie) White, Michael WieczorekPredicting probabilities of late summer surface flow presence in a glaciated mountainous headwater region
Accurate mapping of streams that maintain surface flow during annual baseflow periods in mountain headwater streams is important for informing water availability for human consumption and is a fundamental determinant of in-channel conditions for stream-dwelling organisms. Yet accurate mapping that captures local spatial variability and associated local controls on surface flow presence is limited.AuthorsKristin Jaeger, Roy Sando, Sarah B. Dunn, Andrew S. GendaszekA hydrologic perspective of major U.S. droughts
Drought is a recurring natural hazard that has substantial human and environmental impacts. Given continued global warming and associated climate change, there is concern that droughts could become more severe and longer lasting. To better monitor and understand drought development and persistence, it is helpful to understand the development and climatic drivers of past droughts. In this study weAuthorsGregory J. McCabe, David M. Wolock, Melissa Lombard, Robert W. Dudley, John Christopher Hammond, Jory Seth Hecht, Glenn A. Hodgkins, Carolyn G. Olson, Roy Sando, Caelan E. Simeone, Michael E. WieczorekPredictions and drivers of sub-reach-scale annual streamflow permanence for the upper Missouri River basin: 1989-2018
The presence of year-round surface water in streams (i.e., streamflow permanence) is an important factor for identifying aquatic habitat availability, determining the regulatory status of streams, managing land use change, allocating water resources, and designing scientific studies. However, accurate, high resolution, and dynamic prediction of streamflow permanence that accounts for year-to-yearAuthorsRoy Sando, Kristin Jaeger, William H. Farmer, Theodore B. Barnhart, Ryan R. McShane, Toby L. Welborn, Kendra E. Kaiser, Konrad Hafen, Kyle W. Blasch, Benjamin C. York, Alden ShallcrossPrecision of headwater stream permanence estimates from a monthly water balance model in the Pacific Northwest, USA
Stream permanence classifications (i.e., perennial, intermittent, ephemeral) are a primary consideration to determine stream regulatory status in the United States (U.S.) and are an important indicator of environmental conditions and biodiversity. However, at present, no models or products adequately describe surface water presence for regulatory determinations. We modified the Thornthwaite monthlAuthorsKonrad Hafen, Kyle Blasch, Paul E. Gessler, Roy Sando, Alan H. ReaRegional regression equations based on channel-width characteristics to estimate peak-flow frequencies at ungaged sites in Montana using peak-flow frequency data through water year 2011
The U.S. Geological Survey, in cooperation with the Montana Department of Transportation, developed regression equations based on channel width to estimate peak-flow frequencies at ungaged sites in Montana. The equations are based on peak-flow data at streamgages through September 2011 (end of water year 2011), and channel widths measured in the field and from aerial photographs.Active-channel widAuthorsKatherine J. Chase, Roy Sando, Daniel W. Armstrong, Peter McCarthyUsing satellite imagery to estimate consumptive water use from irrigated lands in the Milk River Basin, United States and Canada
The U.S. Geological Survey, with the support of the International Joint Commission, and in cooperation with Alberta Environment and Parks, Blackfeet Nation, Environment and Climate Change Canada, and Montana Department of Natural Resources and Conservation, is leading a project that should improve information available to apportion water between Canada and the United States in the St. Mary and MilAuthorsRoy Sando, MacKenzie Friedrichs, Gabriel B. SenayBeyond streamflow: Call for a national data repository of streamflow presence for streams and rivers in the United States
Observations of the presence or absence of surface water in streams are useful for characterizing streamflow permanence, which includes the frequency, duration, and spatial extent of surface flow in streams and rivers. Such data are particularly valuable for headwater streams, which comprise the vast majority of channel length in stream networks, are often non-perennial, and are frequently the mosAuthorsKristin Jaeger, Konrad Hafen, Jason B. Dunham, Ken M. Fritz, Stephanie K. Kampf, Theodore B. Barnhart, Kendra E. Kaiser, Roy Sando, Sherri L Johnson, Ryan R. McShane, Sarah Beth DunnThe influence of climate variability on the accuracy of NHD perennial and non-perennial stream classifications
National Hydrography Dataset (NHD) stream permanence classifications (SPC; perennial, intermittent, and ephemeral) are widely used for data visualization and applied science, and have implications for resource policy and management. NHD SPC were assigned using a combination of topographic field surveys and interviews with local residents. However, previous studies indicate that non‐NHD, in situ stAuthorsKonrad Hafen, Kyle Blasch, Alan H. Rea, Roy Sando, Paul GesslerA guidebook to spatial datasets for conservation planning under climate change in the Pacific Northwest
This guidebook provides user-friendly overviews of a variety of spatial datasets relevant to conservation and management of natural resources in the face of climate change in the Pacific Northwest, United States. Each guidebook chapter was created using a standardized template to summarize a spatial dataset or a group of closely related datasets. Datasets were selected according to standardized crAuthorsJennifer M. Cartwright, Travis Belote, Kyle W. Blasch, Steve Campbell, Jeanne C. Chambers, Raymond J. Davis, Solomon Dobrowski, Jason B. Dunham, Diana Gergel, Daniel Isaak, Kristin Jaeger, Meade Krosby, Jesse Langdon, Joshua J. Lawler, Caitlin E. Littlefield, Charles H. Luce, Jeremy D Maestas, Anthony Martinez, Arjan J.H. Meddens, Julia Michalak, Sean A. Parks, Wendy Peterman, Ken Popper, Chris Ringo, Roy Sando, Michael Schindel, Diana Stralberg, David M. Theobald, Nathan Walker, Chad Wilsey, Zhiqiang Yang, Andrew YostRegional patterns in hydrologic response, a new three-component metric for hydrograph analysis and implications for ecohydrology, Northwest Volcanic Aquifer Study Area, USA
Study RegionOregon, California, Idaho, Nevada and UtahStudy FocusSpatial patterns of hydrologic response were examined for the Northwest Volcanic Aquifer Study Area (NVASA). The utility of established hydrograph-separation methods for assessing hydrologic response in permeable volcanic terranes was assessed and a new three-component metric for hydrograph analysis was developed. The new metric, whiAuthorsJennifer A. Curtis, Erick R. Burns, Roy SandoProbability of streamflow permanence model (PROSPER): A spatially continuous model of annual streamflow permanence throughout the Pacific Northwest
The U.S. Geological Survey (USGS) has developed the PRObability of Streamflow PERmanence (PROSPER) model, a GIS raster-based empirical model that provides streamflow permanence probabilities (probabilistic predictions) of a stream channel having year-round flow for any unregulated and minimally-impaired stream channel in the Pacific Northwest region, U.S. The model provides annual predictions forAuthorsKristin Jaeger, Roy Sando, Ryan R. McShane, Jason B. Dunham, David Hockman-Wert, Kendra E. Kaiser, Konrad Hafen, John Risley, Kyle BlaschNon-USGS Publications**
Sando, Roy and Henebry, G.M., 2008. Characterization and analysis of hailstorms in the Northern Great Plains, SDSU Journal of Undergraduate Research, vol 11, p. 67-75.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
- Software
Flow-Conditioned Parameter Grid Tools
The Flow-Conditioned Parameter Grid (FCPG) Tools are a Python 3 library to make FCPGs for either two-digit Hydrologic Unit Code (HUC2) regions, four-digit Hydrologic Unit Code (HUC4) regions, or other geospatial tiling schemes. These tools can be used in a Linux-based high performance computing (HPC) environment or locally on your system.
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