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Data for Continental Hydrologic Intercomparison Project (CHIP), Phase 1: A Large-Scale Hydrologic Model Comparison over the Continental United States
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Created: Jan 11, 2019 at 8:39 p.m.
Last updated: Jun 24, 2021 at 5:48 p.m.
DOI: 10.4211/hs.18f8a253b0d54094a75d675eed30ad6d
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Content types: Single File Content  Geographic Feature Content  Geographic Raster Content 
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Abstract

This resources contains the data from the manuscript Continental Hydrologic Intercomparison Project (CHIP), Phase 1: A Large-Scale Hydrologic Model Comparison over the Continental United States.

High-resolution, coupled, process-based hydrology models, in which subsurface, land-surface, and energy budget processes are represented, have been applied at the basin-scale to ask a wide range of water science questions. Recently, these models have been developed at continental scales with applications in operational flood forecasting, hydrologic prediction, and process representation. As use of large-scale model configurations increases, it is exceedingly important to have a common method for performance evaluation and validation, particularly given challenges associated with accurately representing large domains. Here we present phase 1 of a comparison project for continental-scale, high-resolution, processed-based hydrologic models entitled CHIP—the Continental Hydrologic Intercomparison Project. The first phase of CHIP is based on past Earth System Model intercomparisons and is comprised of a two-model proof of concept comparing the ParFlow-CONUS hydrologic model, version 1.0 and a NOAA US National Water Model configuration of WRF-Hydro, version 1.2. The objectives of CHIP phase 1 are: 1) describe model physics and components, 2) design an experiment to ensure a fair comparison, and 3) assess simulated streamflow with observations to better understand model bias. To our knowledge, this is the first comparison of continental-scale, high-resolution, physics-based models which incorporate lateral subsurface flow. This model intercomparison is an initial step toward a continued effort to unravel process, parameter, and formulation differences in current large-scale hydrologic models and to engage the hydrology community in improving hydrology model configuration and process representation.

Tijerina, D.T., Condon, L.E., FitzGerald, K., Dugger, A., O'Neill, M. M., Sampson, K., Gochis, D.J., and Maxwell, R.M. (2021). Continental Hydrologic Intercomparison Project (CHIP), Phase 1: A Large-Scale Hydrologic Model Comparison over the Continental United States. Water Resources Res. doi: 10.1029/2020WR028931.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
CHIP phase 1 comparison domain
North Latitude
48.1623°
East Longitude
-80.4563°
South Latitude
32.3947°
West Longitude
-121.4582°

Content

README.md

Continental Hydrologic Intercomparison Project (CHIP), Phase 1: A Large-Scale Hydrologic Model Comparison over the Continental United States

README generated 2021-06-18 by Danielle Tijerina

GENERAL INFORMATION

  1. Title of Dataset:
    Continental Hydrologic Intercomparison Project (CHIP), Phase 1, Intercomparison streamflow model outputs and postprocessing scripts

  2. Author Information.

  3. Principal Investigator Contact Information
    Name: Reed Maxwell
    Institution: Princeton University
    Email: reedmaxwell@princeton.edu

  4. Corresponding Author Contact Information
    Name: Danielle Tijerina
    Institution: Princeton University
    Email: dtijerina@princeton.edu

  5. Date of model information collection:
    Initial ParFlow-CONUS model runs conducted in 2015-2016 for Maxwell and Condon (2016). WRF-Hydro (National Water Model) runs conducted in 2017. The post-processing script was originally written by Laura Condon (lecondon@arizona.edu) for ParFlow-CONUS and modified by Danielle Tijerina to include WRF-Hydro.NWM.

  6. Geographic location of data collection:
    The model outputs include WRF-Hydro.NWM streamflow for every reach in the contiguous United States for the NHDPlus medium resolution reaches. Additionally, spreadsheets provided include the daily streamflow for the 2200 USGS gages used for comparison for both PF-CONUS and WRF-Hydro.NWM, aggregated streamflow statistics calculated with All_Gage_Analysis_withObs2200.R, and USGS streamflow observations.

  7. Information about funding sources that supported the modeling effort:
    This work was supported by the U.S. Department of Energy Office of Science, Offices of Advanced Scientific Computing Research and Biological and Environmental Sciences IDEAS project and the U.S. National Science Foundation, Office of Advanced Cyberinfrastructure Award CSSI: 1835903 HydroFrame Project (hydroframe.org). High-performance computing support provided by NCAR's Computational and Information Systems Laboratory, specifically utilizing the Cheyenne supercomputer (doi:10.5065/D6RX99HX), sponsored by the National Science Foundation.

SHARING/ACCESS INFORMATION

  1. Licenses/restrictions placed on the data:
    See recommended citation below for use of this data.

  2. Links/relationships to ancillary data sets:
    PF-CONUS model run information can be accessed at Maxwell and Condon, Science (2016)

    ParFlow is an open source modeling platform and the source code and associated documentation may be obtained from https://github.com/parflow/parflow.

    WRF-Hydro is an open source modeling platform and the source code and associated documentation may be obtained from https://github.com/NCAR/wrf_hydro_nwm_public.

  3. Recommended citation for this dataset and model outputs:
    Tijerina, D.T., Condon, L.E., FitzGerald, K., Dugger, A., O'Neill, M. M., Sampson, K., Gochis, D.J., and Maxwell, R.M. (2021). Continental Hydrologic Intercomparison Project (CHIP), Phase 1: A Large-Scale Hydrologic Model Comparison over the Continental United States. Water Resources Res. doi: 10.1029/2020WR028931.

DATA & FILE OVERVIEW

  1. File List:

    • CONUS_NHDGreater50k_Summary_FlowMatch.csv - observation station metadata for NHD
    • CONUS_Gauge_Summary_FlowMatch.csv - observation station metadata for GAGES-II
    • Observed_CONUS_USGSDaily_Matrix_cfs.txt - time series of streamflow observations at USGS stations, water year 1985
    • NWM_NHDdailyFlow_WY1985.txt - NWM simulated flow at NHD gage locations
    • NWM_GaugesDailyFlow_WY1985.txt - NWM simulated flow at Gages gage locations
    • PFCONUS_NHDdailyFlow_WY1985.txt - PF-CONUS simulated flow at NHD gage locations
    • PFCONUS_GaugesDailyFlow_WY1985.txt - PF-CONUS simulated flow at Gages gage locations
    • COMBINED_MASTER_AllStations_Summary_ONLYSTATS.csv - This spreadsheet is created from the All_Gage_Analysis_withObs2200.R R script and contains all of the statistics that were calculated from comparing PF to USGS and NWM to USGS
    • COMBINED_MASTER_AllStations_Summary.csv - same as previous, but with USGS gage metadata (specifically for PF-NWM_Performance_Differences.R)
    • NWM-PFCONUS-DiffSPC_gages.csv - same as previous, but only gages that have differing SPC (specifically for PF-NWM_Performance_Differences.R)
    • NWM-PFCONUS-SameSPC_gages.csv- - same as previous, but only gages that have the same SPC (specifically for PF-NWM_Performance_Differences.R)
    • All_Gage_Analysis_withObs2200.R - aggregated streamflow statistics for PF-CONUS and WRF-Hydro.NWM
    • PF-NWM_Performance_Differences.R - Analysis and plotting for PF-CONUS and WRF-Hydro.NWM Streamflow Performance Category differences
    • ReferenceGAGES-II_analysis_85_NWMPF.R - Analysis and plotting for PF-CONUS and WRF-Hydro.NWM Streamflow Performance Category differences, specific to USGS Reference Gages
    • MakeHydrographs.R - Creates various hydrographs for PF-CONUS and WRF-Hydro.NWM (e.g., Figure 9)
    • PF-NWM_roaringFork.qgs - QGIS file for the Roaring Fork basin (Figure 9)
    • /QGIS_Layers/ - folder of layers needed for PF-NWM_roaringFork.qgs
    • /Aggregated_Streamflow_NWM_85/ - folder of daily WRF-Hydro.NWM streamflow, aggregated from hourly flow

  2. Additional related data collected that was not included in the current data package:
    Raw model outputs are not included in the current data package because of size limitations. If interested in obtaining, please contact the corresponding author directly.

METHODOLOGICAL INFORMATION

  1. Description of methods used for collection/generation of data:
    Experiment design is based on [Maxwell and Condon (2016)] (https://science.sciencemag.org/content/353/6297/377.abstract).
    ParFlow model GitHub: https://github.com/parflow/parflow
    WRF-Hydro GitHub: https://github.com/NCAR/wrf_hydro_nwm_public

  2. Methods for processing the data:
    In order to process the WRF-Hydro.NWM data, the R package rwrfhydro was utilized. For more information, see the Supplementary Information or contact the corresponding author.

  3. Instrument- or software-specific information needed to interpret the data:
    WRF-Hydro.NWM model runs were implemented on the NCAR Cheyenne supercomputer and PF-CONUS model runs were implemented (previous to this study) on NCAR Yellowstone supercomputer (Maxwell & Condon, 2016).

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-18f8a253b0d54094a75d675eed30ad6d/wms?request=GetCapabilities

Web Feature Service

https://geoserver.hydroshare.org/geoserver/HS-18f8a253b0d54094a75d675eed30ad6d/wfs?request=GetCapabilities

Web Coverage Service

https://geoserver.hydroshare.org/geoserver/HS-18f8a253b0d54094a75d675eed30ad6d/wcs?request=GetCapabilities

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
U.S. Department of Energy Office of Science Offices of Advanced Scientific Computing Research and Biological and Environmental Sciences
U.S. National Science Foundation Office of Advanced Cyberinfrastructure Award CSSI: HydroFrame 1835903
American Association of University Women Selected Professions Fellowship

How to Cite

Tijerina, D., L. Condon, K. FitzGerald, A. Dugger, M. M. O'Neill, K. Sampson, d. gochis, R. Maxwell (2021). Data for Continental Hydrologic Intercomparison Project (CHIP), Phase 1: A Large-Scale Hydrologic Model Comparison over the Continental United States, HydroShare, https://doi.org/10.4211/hs.18f8a253b0d54094a75d675eed30ad6d

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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