Faunt, Claudia C. 2012 tabular digital data Professional Paper 1766 Reston, Virginia U.S. Geological Survey https://water.usgs.gov/lookup/getspatial?pp1766_stream_loss_nady Faunt, Claudia C. 2009 Professional Paper 1766 Reston, VA U.S. Geological Survey https://pubs.usgs.gov/pp/1766/ This digital dataset contains 61 sets of annual streamflow gains and losses between 1961 and 1977 along Central Valley surface-water network for the Central Valley Hydrologic Model (CVHM). The Central Valley encompasses an approximate 50,000 square-kilometer region of California. The complex hydrologic system of the Central Valley is simulated using the USGS's numerical modeling code MODFLOW-FMP (Schmid and others, 2006). This simulation is referred to here as the CVHM (Faunt, 2009). Utilizing MODFLOW-FMP, the CVHM simulates groundwater and surface-water flow, irrigated agriculture, land subsidence, and other key processes in the Central Valley on a monthly basis from 1961-2003. The total active modeled area is 20,334 square-miles. The CVHM includes complex surface-water management processes. The hydrology of the present-day Central Valley and the CVHM model are driven by surface-water deliveries and associated groundwater pumpage. The Streamflow Routing Package (SFR1) is linked to MODFLOW-FMP to facilitate the simulated conveyance of surface-water deliveries. If surface-water deliveries do not meet the farm-delivery requirement, the FMP invokes simulated groundwater pumping to meet the demand. The surface-water network represents a subset of the entire stream network in the valley. Quantitative observations of streamflow gains and losses were available for 57 reaches of 20 major stream systems in the Central Valley for water years 1961-77 (Mullen and Nady, 1985). These observations were included in parameter estimation process and in the model-fit statistics. The CVHM is the most recent regional-scale model of the Central Valley developed by the U.S. Geological Survey (USGS). The CVHM was developed as part of the USGS Groundwater Resources Program (see "Foreword", Chapter A, page iii, for details). The stream-flow gains/losses dataset was used as calibration data for MODFLOW-FMP, the USGS 3-dimensional finite-difference code used to simulate flow in the CVHM. This is a supporting dataset that is used to help calibrate the CVHM. The CVHM is a tool that accounts for integrated, variable water supply and demand, and simulates surface-water and groundwater-flow across the entire Central Valley system. The stream flow gains/losses dataset is one of many layers in a geospatial database supporting the USGS Central Valley Groundwater Availability Project. Regional groundwater availability studies quantify current groundwater resources, evaluate how those resources have changed through time, and provide tools that decision makers can use to predict system responses to future development and climate variability and change. To provide information to stakeholders addressing these issues, the USGS made a detailed assessment of groundwater availability of the Central Valley aquifer system, which includes: (1) the present status of groundwater resources; (2) characterization of how these resources have changed over time; and (3) tools to assess system responses to stresses from future human uses and climate variability and change. This effort builds on previous investigations, such as the USGS Central Valley Regional Aquifer System and Analysis (CV-RASA) project and several other groundwater studies in the Valley completed by Federal, State and local agencies at various scales. Data from these previous studies were the foundation of the Central Valley geospatial database. These and other data were re-examined through a series of regional-scale hydrologic investigations to provide updated and spatially consistent interpretations for the Central Valley Groundwater Availability study. In some cases, new data were collected to augment existing information. Data compiled from the studies include geology (in particular, borehole lithology and the extent and thickness of the Corcoran Clay Member of the Tulare Formation), topography, remote sensing, climate (precipitation and temperature), geophysics, vegetation and land use, vegetation properties, hydrology (stream network and flows), groundwater levels, subsidence, chemistry, and soils. Digital elevation models, geologic maps, borehole information, cross sections, and other 3-dimensional models were used to develop the texture model which represents the properties and geometry of the Central Valley alluvial deposits. The resulting geospatial database supports characterization and conceptualization of the Central Valley hydrologic system between 1961 and 2003, construction of 3-dimensional hydrogeologic framework and hydrologic flow models, and visualization of analysis and model results. 1961 2003 publication date Complete None planned -122.368562 -118.965852 40.606449 35.231481 ISO 19115 Topic Category inlandWaters geoscientificinformation American Geological Institute Glossary of Geology (http://glossary.agiweb.org/dbtw-wpd/glossary/search.aspx) hydrology hydrogeology model groundwater surface water streamflow USGS Thesaurus Groundwater Availability of the Central Valley Aquifer Central Valley Aquifer Central Valley Hydrologic Model Flow Model CVHM Texture Model CV-RASA inlandWaters USGS Metadata Identifier USGS:0d952ffa-e45b-4463-8769-678f7c0b3a07 Geographic Names Information System (GNIS) California Central Valley Trinity County Shasta County Tehama County Humboldt County Butte County Mendocino County Glenn County Yuba County Lake County Nevada County Colusa County Sutter County Placer County El Dorado County Yolo County Sonoma County Napa County Sacramento County Amador County Solano County Calaveras County Tuolumne County San Joaquin County Contra Costa County Stanislaus County Alameda County Mariposa County Madera County Merced County Fresno County Santa Clara County San Benito County Monterey County Tulare County Kings County Kern County San Luis Obispo County Santa Barbara County Ventura County Sacramento Valley San Joaquin Valley Central Valley, California None Data have been checked to ensure the accuracy of the data. If any errors are detected, please notify the originating office. The U.S. Geological Survey strongly recommends that careful attention be paid to the metadata file associated with these data. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Acknowledgement of the U.S. Geological Survey would be appreciated in products derived from these data. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the dataset in nonproprietary form, as well as in ArcGIS format, this metadata file may include some ArcGIS-specific terminology. Claudia C. Faunt U.S. Geological Survey Hydrologist mailing and physical address

4165 Spruance Road, Suite 200

San Diego CA 92101 USA (619) 225-6142 (619) 225-6101 ccfaunt@usgs.gov https://water.usgs.gov/GIS/browse/pp1766_stream_flow_loss.png Illlustration of data set PNG Spatial datasets supporting the Central Valley Groundwater Availability project were developed primarily by the U.S. Geological Survey's (USGS) Groundwater Resources Program. This program is conducting large-scale multidisciplinary regional studies of groundwater availability. The U.S. Bureau of Reclamation is supporting the updating of the Central Valley datasets and their documentation and release. Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3500 Schmid, Wolfgang Hanson, R. T. Maddock, Thomas, III Leake, S. A. 2006 Techniques and Methods 6-A17 Sacramento, CA USGS California Water Science Center https://pubs.usgs.gov/tm/2006/tm6A17/ In addition, attributes were checked and evaluated as part of the review process associated with the publication of the source report. Tabular, non-spatial dataset: Categories were determined by the dataset Originator, who transcribed them into this table The measurements in this dataset are computer-generated and represent the model grid and model layers of the Central Valley Hydrologic Model. The dataset is complete and is not anticipated to change. This table is ancillary to a point dataset whose positional accuracy was based on geographic coordinates encoded by USGS standards for USGS National Water Information System data Mullen, J.R. Nady, Paul 1985 Open-File Report 85-401 Reston, VA U.S. Geological Survey https://pubs.usgs.gov/of/1985/0401/report.pdf online 1985 publication date Mullen and Nady (1985) annual streamflow gains and losses between 1961 and 1977 Quantitative observations of streamflow gains and losses were available for 57 reaches of 20 major stream systems in the Central Valley for water years 1961-77 (Mullen and Nady, 1985). These observations were included in parameter estimation process and in the model-fit statistics. The data was tabulated and included in the model. 2009 Central Valley, comprised of the Sacramento Valley on the north and the San Joaquin Valley on the south, located in the state of California. Vector Entity point 66 Albers Conical Equal Area 29.500000 45.500000 -120.000000 23.000000 0.000000 0.000000 coordinate pair 100 100 meters North American Datum of 1983 Geodetic Reference System 80 6378137.000000 298.257222 stream_loss_nady Stream flow segment gains and losses between 1961 and 1977 dataset originator Year Calendar year represented in numeric form (YYYY) dataset originator 1961 1977 Calendar Year 1961 1977 NAME Name of up and/or downstream point to divide stream flow losses dataset originator Text string Kern_5 Stream flow gain/loss along segment Kern_5 dataset originator 1109700 64732500 Cubic meters per year Kern_9 Stream flow gain/loss along segment Kern_9 dataset originator -159550200 -6165000 Cubic meters per year Kern_28 Stream flow gain/loss along segment Kern_28 dataset originator -97283700 431919900 Cubic meters per year Tule_12 Stream flow gain/loss along segment Tule_12 dataset originator 5301900 40442400 Cubic meters per year Tule_15 Stream flow gain/loss along segment Tule_15 dataset originator 0 94941000 Cubic meters per year Tule_18 Stream flow gain/loss along segment Tule_18 dataset originator 0 119970900 Cubic meters per year Tule_23 Stream flow gain/loss along segment Tule_23 dataset originator -739800 37853100 Cubic meters per year Tule_27 Stream flow gain/loss along segment Tule_27 dataset originator -12330000 12206700 Cubic meters per year Kawe_8 Stream flow gain/loss along segment Kawe_8 dataset originator -31934700 -369900 Cubic meters per year Kawe_20 Stream flow gain/loss along segment Kawe_20 dataset originator -13069800 11960100 Cubic meters per year Kawe_33 Stream flow gain/loss along segment Kawe_33 dataset originator 14672700 35880300 Cubic meters per year StJo_24 Stream flow gain/loss along segment StJo_24 dataset originator 6658200 145494000 Cubic meters per year King_8 Stream flow gain/loss along segment King_8 dataset originator -124039800 8877600 Cubic meters per year King_12 Stream flow gain/loss along segment King_12 dataset originator -52772400 77432400 Cubic meters per year King_21 Stream flow gain/loss along segment King_21 dataset originator 54128700 123793200 Cubic meters per year King_26 Stream flow gain/loss along segment King_26 dataset originator 123300 23303700 Cubic meters per year King_32 Stream flow gain/loss along segment King_32 dataset originatorr -2959200 36003600 Cubic meters per year King_36 Stream flow gain/loss along segment King_36 dataset originator 0 72870300 Cubic meters per year King_40 Stream flow gain/loss along segment King_40 dataset originator 0 63129600 Cubic meters per year King_54 Stream flow gain/loss along segment King_54 dataset originator -32058000 24660000 Cubic meters per year SanJ_13 Stream flow gain/loss along segment SanJ_13 dataset originator 141918300 304427700 Cubic meters per year SanJ_19 Stream flow gain/loss along segment SanJ_19 dataset originator -13069800 64855800 Cubic meters per year SanJ_25 Stream flow gain/loss along segment SanJ_25 dataset originator 246600 335129400 Cubic meters per year SanJ_34 Stream flow gain/loss along segment SanJ_34 dataset originator -168921000 -1479600 Cubic meters per year SanJ_39 Stream flow gain/loss along segment SanJ_39 dataset originator -36990000 2584368000 Cubic meters per year SanJ_47 Stream flow gain/loss along segment SanJ_47 dataset originator -89392500 1007607600 Cubic meters per year SanJ_54 Stream flow gain/loss along segment SanJ_54 dataset originator -151659000 -5548500 Cubic meters per year SanJ_59 Stream flow gain/loss along segment SanJ_59 dataset originator -91611900 -66335400 Cubic meters per year SanJ_69 Stream flow gain/loss along segment SanJ_69 dataset originator -195923700 148576500 Cubic meters per year SanJ_74 Stream flow gain/loss along segment SanJ_74 dataset originator -343760400 99133200 Cubic meters per year Fres_9 Stream flow gain/loss along segment Fres_9 dataset originator -49443300 26262900 Cubic meters per year Fres_13 Stream flow gain/loss along segment Fres_13 dataset originator 0 45744300 Cubic meters per year Chow_5 Stream flow gain/loss along segment Chow_5 dataset originator -42045300 51786000 Cubic meters per year Merc_6 Stream flow gain/loss along segment Merc_6 dataset originator -38346300 49443300 Cubic meters per year Merc_11 Stream flow gain/loss along segment Merc_11 dataset originator -120587400 -14056200 Cubic meters per year Merc_17 Stream flow gain/loss along segment Merc_17 dataset originator -79281900 -32058000 Cubic meters per year Tuol_8 Stream flow gain/loss along segment Tuol_8 dataset originator -242037900 -60540300 Cubic meters per year Tuol_18 Stream flow gain/loss along segment Tuol_18 dataset originator -96790500 77185800 Cubic meters per year Tuol_24 Stream flow gain/loss along segment Tuol_24 dataset originator -239448600 22070700 Cubic meters per year Stan_6 Stream flow gain/loss along segment Stan_6 dataset originator -124039800 5425200 Cubic meters per year Stan_11 Stream flow gain/loss along segment Stan_11 dataset originator -59307300 93584700 Cubic meters per year Stan_19 Stream flow gain/loss along segment Stan_19 dataset originator -175702500 -14056200 Cubic meters per year Stan_24 Stream flow gain/loss along segment Stan_24 dataset originator -45990900 123176700 Cubic meters per year Cala_5 Stream flow gain/loss along segment Cala_5 dataset originator -6041700 1849500 Cubic meters per year Cala_11 Stream flow gain/loss along segment Cala_11 dataset originator -17262000 57457800 Cubic meters per year Cala_18 Stream flow gain/loss along segment Cala_18 dataset originator 3329100 39332700 Cubic meters per year Moke_6 Stream flow gain/loss along segment Moke_6 dataset originator 27619200 120217500 Cubic meters per year Cons_6 Stream flow gain/loss along segment Cons_6 dataset originator -45621000 25399800 Cubic meters per year Amer_5 Stream flow gain/loss along segment Amer_5 dataset originator 216638100 855455400 Cubic meters per year Yuba_7 Stream flow gain/loss along segment Yuba_7 dataset originator -269410500 58937400 Cubic meters per year Feat_10 Stream flow gain/loss along segment Feat_10 dataset originator -131807700 104681700 Cubic meters per year Feat_16 Stream flow gain/loss along segment Feat_16 dataset originator -435865500 123053400 Cubic meters per year Feat_21 Stream flow gain/loss along segment Feat_21 dataset originator -330690600 365337900 Cubic meters per year Feat_26 Stream flow gain/loss along segment Feat_26 dataset originator -771364800 231310800 Cubic meters per year Ston_5 Stream flow gain/loss along segment Ston_5 dataset originator 17631900 93708000 Cubic meters per year Cach_4 Stream flow gain/loss along segment Cach_4 dataset originator -32058000 64116000 Cubic meters per year Cach_12 Stream flow gain/loss along segment Cach_12 dataset originator -12946500 73856700 Cubic meters per year Puta_9 Stream flow gain/loss along segment Puta_9 dataset originator 5918400 25029900 Cubic meters per year Puta_13 Stream flow gain/loss along segment Puta_13 dataset originator -12206700 12946500 Cubic meters per year Puta_17 Stream flow gain/loss along segment Puta_17 dataset originator -7274700 9494100 Cubic meters per year Puta_18 Stream flow gain/loss along segment Puta_18 dataset originator 2096100 51662700 Cubic meters per year This digital dataset contains 61 sets of annual gains and losses between 1961 and 1977 along the Central Valley surface-water network for the Central Valley Hydrologic Model (CVHM). These data were used for analysis and for developing input files for the CVHM ground-water flow model. none U.S. Geological Survey Michael Ierardi IT Specialist mailing and physical

445 National Center

Reston Virginia 20192 USA 1-888-275-8747 (1-888-ASK-USGS) mierardi@usgs.gov Downloadable Data Digital geospatial datasets for the numerical model of the hydrogeologic landscape and groundwater flow in California's Central Valley. Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of these data, software, or related materials. The use of firm, trade, or brand names in this report is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey. The names mentioned in this document may be trademarks or registered trademarks of their respective trademark owners. SHP ESRI Shapefile 0.002 https://water.usgs.gov/GIS/dsdl/pp1766_stream_flow_loss.zip None. This dataset is provided by the USGS as a public service. 2011 20201117 U.S. Geological Survey Michael Ierardi IT Specialist mailing and physical address

445 National Center

Reston VA 20192 USA 1-888-275-8747 (1-888-ASK-USGS) mierardi@usgs.gov FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998