Janet Barclay Yingda Fan Lauren Koenig Runlong Yu Yiming Sun Yiqun Xie Xiaowei Jia Alison Appling 20250305 Vector digital data Online (digital release) U.S. Geological Survey data release https://doi.org/10.5066/P1UP5DXN <p>This model archive component contains shapefiles of (1) coarse (NHGFv1.1 / NHM) stream network polylines for the Delaware River Basin and (2) fine (NHDPlusV2.1) stream network polylines for six watersheds within the Delaware River Basin.</p> <p>The parent model archive (<a href="https://www.sciencebase.gov/catalog/item/66787f3ed34efbe36238c80a">Fan et al. 2025a</a>) provides all data, code, and model outputs used in the corresponding manuscript (Fan et al. 2025b) to test machine learning (ML) methods for downscaling and multi-scale modeling of stream temperature to combine an ML model and/or input data at coarse spatial resolution with an ML model and/or input data at fine spatial resolution to predict stream temperatures at fine spatial resolution in a watershed.</p> <p>The data are organized into these child items: <li><a href="https://www.sciencebase.gov/catalog/item/6682f4f8d34e57e93663d655"> [THIS ITEM] 1. Geospatial Information </a>- Stream reach and catchment shapefiles </li> <li><a href="https://www.sciencebase.gov/catalog/item/6682f50bd34e57e93663d65a"> 2. Model Inputs </a> - Meteorological data, river network matrices, and stream temperature observations </li> <li><a href="https://www.sciencebase.gov/catalog/item/6682f522d34e57e93663d65e"> 3. Model Code </a>- Python files and README for reproducing model training and evaluation </li> <li><a href="https://www.sciencebase.gov/catalog/item/6682f545d34e57e93663d665"> 4. Coarse Model </a>- Trained coarse stream temperature model to be downscaled </li> <li><a href="https://www.sciencebase.gov/catalog/item/6682f556d34e57e93663d668"> 5. Model Outputs </a>- Model simulation outputs and evaluation metrics </li> </p> <p>The publication associated with this model archive is: Fan, Yingda, Runlong Yu, Janet R. Barclay, Alison P. Appling, Yiming Sun, Yiqun Xie, and Xiaowei Jia. 2025. "Multi-Scale Graph Learning for Anti-Sparse Downscaling." In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39. Washington, DC, USA: AAAI Press.</p> <p>This data compilation was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Environmental System Science Data Management Program, as part of the ExaSheds project, under Award Number 89243021SSC000068. Work was also supported by the U.S. Geological Survey, Water Availability and Use Science Program.</p> Water quality modeling methods development 19791001 20210930 See publication date Complete None planned -76.3879905924101 -74.380785128688 42.4544544671721 38.7894548062558 none machine learning deep learning water resources water temperature streams modeling downscaling mathematical simulation ISO 19115 Topic Category environment inlandWaters USGS Metadata Identifier USGS:6682f4f8d34e57e93663d655 Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology United States US U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST Delaware DE Maryland MD New Jersey NJ New York NY Pennsylvania PA none None, but see "Distribution Liability"/"distliab" below. Users are advised to read the associated publication thoroughly to understand appropriate use and data limitations. Janet Barclay U.S. Geological Survey Research Hydrologist Mailing and Physical

U.S. Geological Survey

Reston VA 20192 U.S.A. NA jbarclay@usgs.gov This data compilation was supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Environmental System Science Data Management Program, as part of the ExaSheds project, under Award Number 89243021SSC000068. Work was also supported by the U.S. Geological Survey, Water Availability and Use Science Program. These code files were tested on high performance computing systems and laptops at the University of Pittsburgh and the United State Geological Survey. Operating systems included Windows, linux, and OSX. The open source languages R and Python were used on all systems. Fan, Yingda Runlong Yu Janet Barclay Alison Appling Yiming Sun Yiqun Xie Xiaowei Jia 2025 http://doi.org/TBD/TBD No formal attribute accuracy tests were conducted. Not applicable Not applicable A formal accuracy assessment of the horizontal positional information in the dataset was not conducted. Bock, A.R Santiago, M. Wieczorek, M.E. Foks, S.S. Norton, P.A. Lombard, M.A. 2020 https://doi.org/10.5066/P971JAGF online 2020 publication date Bock et al. (2020) Stream reach polylines for the contiguous United States (CONUS) as used by the National Hydrologic Model (NHM) and defined in the National Hydro-Geospatial Fabric version 1.1 (NHGFv1.1) McKay, L. Bondelid, T. Dewald, T. Johnston, J. Moore, R. Rea, A. 2012 https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus online 2012 publication date McKay et al. (2012) Stream reach polylines for the contiguous United States (CONUS) as defined in the National Hydrography Dataset Plus version 2.1 Coarse stream reaches were downloaded and subset from Bock et al. (2020); fine stream reaches were downloaded and subset from McKay et al. (2012). The crosswalk information relating fine to coarse reaches (in NHD_reaches.zip) was derived as described in model archive component 2 (Model inputs). 20250304 U.S.A. Vector String 456 1e-06 1e-06 Decimal degrees WGS84 WGS_1984 6378137.0 298.257 NHM_reaches.zip Zipped shapefile, containing files named "NHM_reaches" with suffixes ".shp", ".shx", ".dbf", and ".prj". Contains stream reach polylines and IDs for the Delaware River Basin at the resolution used by the National Hydrologic Model (NHM) ("coarse resolution"). Additional attributes link each of these NHM polylines to study watersheds from Fan et al. (2025b). Users will need to unzip/decompress .zip file to view contents. Bock et al. (2020) and this study seg_id_nat Unique reach identifier, integer Bock et al. (2020) NA NA NA basin Name of the study watershed within the Delaware River Basin. Value is NA for those reaches not a part of any study watershed. The study watersheds are within the Delaware River Basin as described by Fan et al. (2025b): LowerDelaware, LowerWestBranchDelaware, Neversink, Rancocas, Brandywine, and Christina. The union of Christina and Brandywine reaches gives the coarse-resolution Brandywine-Christina network used for pretraining by Fan et al. (2025b). This study NA NA NA geometry Polyline for the reach, given in longitude-latitude coordinates longitude-latitude NA NA decimal degrees NHD_reaches.zip Zipped shapefile, containing files named "NHM_reaches" with suffixes ".shp", ".shx", ".dbf", and ".prj". Contains stream reach polylines and IDs for study watersheds used by Fan et al. (2025b), at the resolution of the National Hydrography Dataset Plus version 2.1 (NHDPlusV2; "fine resolution"). Additional attributes link each of these NHDPlusV2 polylines to corresponding NHM polylines, study watersheds from Fan et al. (2025b), whether the NHDPlusV2 polyline directly overlaps an NHM polyline, and whether the NHDPlusV2 polyline was used in tests of the MSGL method described by Fan et al. (2025b). Users will need to unzip/decompress .zip file to view contents. McKay et al. (2012), Bock et al. (2020), and this study COMID Unique reach identifier from NHDPlusV2, integer McKay et al. (2012) NA NA NA seg_id_nat Unique reach identifier from NHM, integer, to which the COMID in this row is most closely matched Bock et al. (2020) NA NA NA basin Name of the study watershed with which this polyline is associated. The study watersheds are within the Delaware River Basin as described by Fan et al. (2025b): LowerDelaware, LowerWestBranchDelaware, Neversink, Rancocas, Brandywine, and Christina. The union of Christina and Brandywine reaches, after excluding those three reaches for which msgl_incl==1, gives the fine-resolution Brandywine-Christina network used for pretraining by Fan et al. (2025b). This study NA NA NA on_nhm Boolean (1=TRUE, 0=FALSE) for whether the NHDPlusV2 reach (COMID) directly overlaps the NHM reach (seg_id_nat) This study 0 1 Boolean (1=TRUE, 0=FALSE) msgl_incl Boolean (1=TRUE, 0=FALSE) for whether the NHDPlusV2 reach (COMID) was used in tests of the MSGL method described by Fan et al. (2025b). This variable only differs from on_nhm for three COMIDs. This study 0 1 Boolean (1=TRUE, 0=FALSE) geometry Polyline for the reach, given in longitude-latitude coordinates longitude-latitude NA NA decimal degrees U.S. Geological Survey GS ScienceBase mailing address

Denver Federal Center, Building 810, Mail Stop 302

Denver CO 80255 United States 1-888-275-8747 sciencebase@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Zipfile containing shapefile components (.shp, .shx, .prj, and .dbf files) https://doi.org/10.5066/P1UP5DXN None 20250305 Alison Appling U.S. Geological Survey Ecologist Mailing and Physical

U.S. Geological Survey

Reston VA 20192 U.S.A. NA NA aappling@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998