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Core Research Center, core R974, from well operated by ENSERCH EXPLORATIONRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "R974", "API Num": "2509121286", "Operator": "ENSERCH EXPLORATION", "Well Name": "33-1 GRIMSRUD-BREKKE", "Field": "VIKING", "State": "MT", "County": "SHERIDAN", "Type": "FULL", "Photos": "T", "Thin Sec": "F", "Analysis": "F", "Latitude": "48.659719", "Longitude": "-104.396809", "coordinates_geohash": "c8tub6hx6j14", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "SOURIS RIVER", "Age": "DEVO", "Min Depth": "9689", "Max Depth": "9904"}],...
I. .\GrantDevine_Comb.csv: This file contains the total inflow volume to Grant Devine Reservoir for the 30 days with the largest streamflow volume between March and May and the mean of the 3- and 12-month SPEI values for each November 1st. Spring streamflow volume for a given calendar year is paired with SPEI from the previous November 1st value. Column A is an unnamed index number, column B is a year in a stochastic simulation, column C is named “simnum” and is the stochastic simulation number, column D is named “mnspei” and is the mean of the 3- and 12-month SPEI for November 1 of each year in a stochastic simulation, and column E is named “SprintgThirtyTot” and is the total inflow volume for the 30 days with...
Core Research Center, core C427, from well operated by CALIFORNIA OILRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "C427", "API Num": "2508505305", "Operator": "CALIFORNIA OIL", "Well Name": "1 GRIMM", "Field": "EAST BREDETTE W", "State": "MT", "County": "ROOSEVELT", "Type": "CHIPS", "Photos": "T", "Thin Sec": "F", "Analysis": "F", "Latitude": "48.525101", "Longitude": "-105.281149", "coordinates_geohash": "c8thh38x5qmq", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "THREE FORKS", "Age": "DEVO", "Min Depth": "7872", "Max Depth": "7930"}, {"Formation":...
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The impact of agricultural drainage and resulting non-point source nutrient export on water quality is a growing concern across the entire Prairie Pothole Region. In Canada, the three Prairie Provinces (Alberta, Manitoba, and Saskatchewan) are currently revising and reviewing surface water management strategies and have recognized the need for wetland restoration and conservation to help maintain and restore water quality, and sustain watershed health. However, unlike the US portion of the PPR, there is no complete wetland inventory for the Canadian portion of the PPR. As a result it is not currently possible to target wetland conservation and restoration efforts to maximize water quality benefits. This project...
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The impact of agricultural drainage and resulting non-point source nutrient export on water quality is a growing concern across the entire Prairie Pothole Region. In Canada, the three Prairie Provinces (Alberta, Manitoba, and Saskatchewan) are currently revising and reviewing surface water management strategies and have recognized the need for wetland restoration and conservation to help maintain and restore water quality, and sustain watershed health. However, unlike the US portion of the PPR, there is no complete wetland inventory for the Canadian portion of the PPR. As a result it is not currently possible to target wetland conservation and restoration efforts to maximize water quality benefits. This project...
Core Research Center, core T009, from well operated by CONOCO INCORPORATEDRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "T009", "API Num": "3302300346", "Operator": "CONOCO INCORPORATED", "Well Name": "CONOC0 HALVERSON 31", "Field": "GOOSENECK", "State": "ND", "County": "DIVIDE", "Type": "SLABBED", "Photos": "T", "Thin Sec": "F", "Analysis": "F", "Latitude": "48.907623", "Longitude": "-103.725223", "coordinates_geohash": "c8wnpxmee1ez", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "SOURIS RIVER", "Age": "DEVO", "Min Depth": "8630", "Max Depth":...
The Dakota Water Science Center contributes to regional and national water-resources communities with expertise in water-quality monitoring, streamflow measurement and analysis, water use, and modeling and statistical analysis of hydrologic and other environmental data. We promote collaboration within our scientific community. We help to meet the mission of the U.S. Geological Survey by collecting and disseminating reliable, impartial, and timely information that is needed to understand the Nation's water resources.
File_Mapping.csv: This file relates historical reconstructed hydrology streamflow from the U.S. Army Corps of Engineers () to the appropriate stochastic streamflow file for disaggregation of streamflow. Column A is an assigned ID, column B is named “Stochastic” and is the stochastic streamflow file needed for disaggregation, column c is called “RH_Ratio_Col” and is the name of the column in the reconstructed hydrology dataset associated with a stochastic streamflow file, and column D is named “Col_Num” and is the column number in the reconstructed hydrology dataset with the name given in column C. Original_Draw_YearDat.csv: This file contains the historical year from 1930 to 2017 with the closest total streamflow...
There are 100 traces in the simulation. This metadata file is only associated with the first trace (Trace_1). This directory contains a folder for each of the 100 streamflow time series and are identified as Trace_1, Trace_2, and so on. Within each trace file is a 100-year long time series of streamflow, in cubic meters per second, for each of the 26 sites. In column A, there is a row number, column B is the date of the stochastic streamflow occurrence, column C is a time assignment required for HEC-ResSim to run, and column D contains “Streamflow_cms” and is streamflow in cubic meters per second.
There are 100 traces in the simulation. This metadata file is only associated with the first trace (Trace_1), although a similar naming convention is used in each trace folder. .\Reservoir SPEI Results\: This directory contains a folder for each trace (simulation) and each trace folder contains stochastic precipitation, stochastic potential evapotranspiration, stochastic temperature, and standardized precipitation evapotranspiration index (SPEI) values for Grant Devine Reservoir, Rafferty Reservoir, Lake Darling Reservoir, and Boundary Reservoir (a replicate of Rafferty Reservoir). All data are provided with a monthly time step. SPEI is calculated for a number of previous months and for each reservoir a calculation...
This directory contains file for each of the 26 site locations required for simulation of streamflow in HEC-ResSim. Each file contains the 100, 100-year streamflow time series in monthly streamflow volume format. Streamflow volume is presented in cubic meters. In column A, there is a row number, column B is the month of the stochastic streamflow volume, column C is the year in the stochastic timeseries, column D is named “simnum” and is the simulation number, and column E is named “monthly_tot” and is the total streamflow volume for the given month, year, and simulation number in cubic meters.
I. .\genpet.csv: This file contains stochastic monthly PET values for each weather station used to develop stochastic climate data in Kolars and others (2016). Column A is the weather station number, column B is the year in a stochastic simulation, column’s C through N are January through December PET values in millimeters, respectively. Simulations are stacked in order from 1 to 100 for each weather station. II. .\genprec.csv: This file contains stochastic monthly precipitation values for each weather station used to develop stochastic climate data in Kolars and others (2016). Column A is the weather station number, column B is the year in a stochastic simulation, column’s C through N are January through December...
I. .\annualhistoricalpet.csv: This file contains a time series of Souris River Basin average annual PET in millimeters from 1911 through 2012. Column A is an unnamed index, column B, “year”, is the historical year, and column C, “PET”, is the annual Souris River Basin total PET in millimeters. II. .\May_2019_Historical_precGrid.csv: This file provides historical monthly precipitation values for each grid point used in the WBM presented in Kolars and others (2016). Column A is an unnamed index, column B, “lat”, is the latitude for a grid point, column C, “lon”, is the longitude for a grid point, column D, “yr” is the historical year, columns E through P are the values of historical precipitation from January through...
.\Kolars and Others WBM Stochastic Streamflow\ (Kolars and Others, 2016). This directory contains the 10-day stochastic streamflow files from Kolars and others, 2016. There are 18 total streamflow files, 15 of the streamflow files are for local streamflow, and 3 of the files contain routed streamflow and end in “rtnat.csv”. These files are not reproducible because of the way the stochastic time series were created. Specifically, the random variability was not developed in a way that could be reproduced, such as setting a seed to assign randomness. Each file contains the 100 simulations that are 100-year long streamflow ordered time series. In column A, there is a row number, column B is named “flow” and is the stochastic...
This folder contains streamflow timeseries in cubic meters per second for each trace time series at each of the 26 site locations. In column A, there is a row number, column B contains “flow” and is streamflow in cubic meters per second, column C is the month that the streamflow occurs in the stochastic streamflow time series, column D is the year in a given stochastic time series, and column E is “simnum” which is the simulation number. The streamflow is ordered for each year in a timeseries and have 3 streamflow values for each month. The 3 streamflow for each month refer to the first, second, and third 10-day period in a month regardless of whether the month does or does not contain 30-days.
Core Research Center, core B528, from well operated by MURPHY OIL CORPRaw Properties from download, web scrape, MapServer, and Macrostrat API{"Lib Num": "B528", "API Num": "2510505024", "Operator": "MURPHY OIL CORP", "Well Name": "1 FIREMOON", "Field": "SARGENT AREA", "State": "MT", "County": "VALLEY", "Type": "CHIPS", "Photos": "T", "Thin Sec": "F", "Analysis": "T", "Latitude": "48.365762", "Longitude": "-106.327173", "coordinates_geohash": "c8s7hkwyvr92", "Source": "FROM STATE RECORDS", "Security Flag": "NO SPECIAL RESTRICTIONS", "crc_collection_name": "core", "sb_parent_id": "4f4e49dae4b07f02db5e0486", "intervals": [{"Formation": "CHARLES /SALT/", "Age": "MISS", "Min Depth": "4985", "Max Depth": "5150"}, {"Formation":...
The North Dakota State Water Commission and International Joint Commission partnered with USGS to characterize the climate and streamflow in the Souris River Basin and develop a set of daily streamflow traces from 10-day stochastic streamflow traces discussed in Kolars and others (2016).The Kolars and others (2016) dataset is provided and was used to determine the statistical characteristics of historical and stochastically generated climate variables and streamflow in the Souris River Basin from the headwaters of the Souris River Basin in Saskatchewan through Minot, N. Dak. Stochastic streamflow presented in this dataset can be characterized as either regulated or natural (unregulated) streamflow. The natural streamflow...


    map background search result map search result map USGS Dakota Water Science Center Souris River Watershed Wetland Inventory and Change Detection: Estimating the effects of wetland distribution and loss on water quality and quantity in a large prairie watershed Report: Souris River Watershed Wetland Inventory and Change Detection: Estimating the effects of wetland distribution and loss on water quality and quantity in a large prairie watershed Historical and Stochastically Generated Climate and Streamflow Data for the Souris River Basin, United States and Canada Core Research Center Core T009 Core Research Center Core C427 Core Research Center Core B528 Core Research Center Core R974 Traces of stochastic precipitation, stochastic potential evapotranspiration, stochastic temperature, and standardized precipitation evapotranspiration index (SPEI) values Historical Meteorology Data used to Characterize Historical and Stochastically Generated Climate and Streamflow Conditions in the Souris River Basin, United States and Canada Spring 30 Day Local Inflow Data for Reservoirs on the Souris River, United States and Canada Stochastic Meteorology Datasets used to Characterize Climate and Streamflow conditions in the Souris River, United States and Canada 10-day 100 CY traces of Streamflow in the Souris River Basin, Determined from Stochastic Modeling Daily Streamflow Traces for 26 sites on the Souris River in North Dakota and Saskatchewan, Developed from Stochastic Modeling Monthly Streamflow Estimated for the Souris River Basin, Determined using Stochastic Modeling Aggregated 30-Day and Generalized 10-Day Stochastic Streamflows used to Generate Streamflow Conditions in the Souris River Basin, United States and Canada Secondary Input Data used in Developing Stochastically Generated Climate and Streamflow Conditions in the Souris River Basin, United States and Canada Monthly Streamflow Estimated for the Souris River Basin, Determined using Stochastic Modeling Historical and Stochastically Generated Climate and Streamflow Data for the Souris River Basin, United States and Canada Traces of stochastic precipitation, stochastic potential evapotranspiration, stochastic temperature, and standardized precipitation evapotranspiration index (SPEI) values Historical Meteorology Data used to Characterize Historical and Stochastically Generated Climate and Streamflow Conditions in the Souris River Basin, United States and Canada Spring 30 Day Local Inflow Data for Reservoirs on the Souris River, United States and Canada Stochastic Meteorology Datasets used to Characterize Climate and Streamflow conditions in the Souris River, United States and Canada 10-day 100 CY traces of Streamflow in the Souris River Basin, Determined from Stochastic Modeling Daily Streamflow Traces for 26 sites on the Souris River in North Dakota and Saskatchewan, Developed from Stochastic Modeling Aggregated 30-Day and Generalized 10-Day Stochastic Streamflows used to Generate Streamflow Conditions in the Souris River Basin, United States and Canada Secondary Input Data used in Developing Stochastically Generated Climate and Streamflow Conditions in the Souris River Basin, United States and Canada Souris River Watershed Wetland Inventory and Change Detection: Estimating the effects of wetland distribution and loss on water quality and quantity in a large prairie watershed Report: Souris River Watershed Wetland Inventory and Change Detection: Estimating the effects of wetland distribution and loss on water quality and quantity in a large prairie watershed USGS Dakota Water Science Center