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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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Type: | Resource | |
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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 | |
Citation: | See how to cite this resource | |
Content types: | Single File Content Geographic Feature Content Geographic Raster Content |
Sharing Status: | Published |
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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.
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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
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Title of Dataset:
Continental Hydrologic Intercomparison Project (CHIP), Phase 1, Intercomparison streamflow model outputs and postprocessing scripts -
Author Information.
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Principal Investigator Contact Information
Name: Reed Maxwell
Institution: Princeton University
Email: reedmaxwell@princeton.edu -
Corresponding Author Contact Information
Name: Danielle Tijerina
Institution: Princeton University
Email: dtijerina@princeton.edu -
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. -
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 withAll_Gage_Analysis_withObs2200.R
, and USGS streamflow observations. -
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
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Licenses/restrictions placed on the data:
See recommended citation below for use of this data. -
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.
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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
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File List:
CONUS_NHDGreater50k_Summary_FlowMatch.csv
- observation station metadata for NHDCONUS_Gauge_Summary_FlowMatch.csv
- observation station metadata for GAGES-IIObserved_CONUS_USGSDaily_Matrix_cfs.txt
- time series of streamflow observations at USGS stations, water year 1985NWM_NHDdailyFlow_WY1985.txt
- NWM simulated flow at NHD gage locationsNWM_GaugesDailyFlow_WY1985.txt
- NWM simulated flow at Gages gage locationsPFCONUS_NHDdailyFlow_WY1985.txt
- PF-CONUS simulated flow at NHD gage locationsPFCONUS_GaugesDailyFlow_WY1985.txt
- PF-CONUS simulated flow at Gages gage locationsCOMBINED_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 USGSCOMBINED_MASTER_AllStations_Summary.csv
- same as previous, but with USGS gage metadata (specifically forPF-NWM_Performance_Differences.R
)NWM-PFCONUS-DiffSPC_gages.csv
- same as previous, but only gages that have differing SPC (specifically forPF-NWM_Performance_Differences.R
)NWM-PFCONUS-SameSPC_gages.csv
- - same as previous, but only gages that have the same SPC (specifically forPF-NWM_Performance_Differences.R
)All_Gage_Analysis_withObs2200.R
- aggregated streamflow statistics for PF-CONUS and WRF-Hydro.NWMPF-NWM_Performance_Differences.R
- Analysis and plotting for PF-CONUS and WRF-Hydro.NWM Streamflow Performance Category differencesReferenceGAGES-II_analysis_85_NWMPF.R
- Analysis and plotting for PF-CONUS and WRF-Hydro.NWM Streamflow Performance Category differences, specific to USGS Reference GagesMakeHydrographs.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
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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
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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 -
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. -
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
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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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
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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