Hydrologic Model Sensitivity to Temporal Disaggregation of Meteorological Forcing Data across CONUS

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Created: Apr 06, 2021 at 3:10 a.m.
Last updated: May 24, 2021 at 5:35 a.m.
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The overall goal of this collection is to provide the hydrologic modelers with the datasets and an end-to-end workflow to explore the sensitivity of hydrologic model simulations to variability in the characteristics of meteorological forcings that is further described in the research paper, Van Beusekom et al. (2021). In this paper, hydrological outputs from the SUMMA model for the 671 CAMELS catchments across the contiguous United States (CONUS) are investigated to understand their dependence on input forcing behavior across CONUS. The paper lays out a simple methodology that can be applied to understand the relative importance of seven model forcings (precipitation rate, air temperature, longwave radiation, specific humidity, shortwave radiation, wind speed, and air pressure).

This collection includes three resources which help the modelers to reproduce and build on the results from the paper.

1- First resource, provides the entire NLDAS forcing datasets used in the paper.

2- Second resource provides an end-to-end workflow of CAMELS basin modeling with SUMMA for the paper simulations configured for execution in connected JupyterHub compute platforms. This resource is well-suited for a smaller scale exploration of the paper goal: explores the paper goal mentioned above for one example CAMELS site and a period of 18-month simulation to only demonstrate the capabilities of the notebooks.

3- Third resource, however, uses HPC (High-Performance Computing) through CyberGIS Computing Service to address the same goal as the second resource. The HPC enables a high-speed running of simulations which makes it suitable for running larger simulations (even as large as the entire 671 CAMELS sites and the whole 60-month simulation period used in the paper) practical and much faster than the second resource.

Greater details can be found in each resource.

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Resource Level Coverage


Coordinate System/Geographic Projection:
WGS84 EPSG:4326
Coordinate Units:
['Decimal degrees']
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:

Collection Contents

Add Title Type Owners Sharing Status My Permission Remove
NLDAS Forcing NetCDF using CAMELS datasets from 1980 to 2018 CompositeResource Young-Don Choi Public & Shareable Open Access
SUMMA Simulations using CAMELS Datasets on CyberGIS-Jupyter for Water CompositeResource Bart Nijssen Public & Shareable Open Access
SUMMA Simulations using CAMELS Datasets for HPC use with CyberGIS-Jupyter for Water CompositeResource Iman Maghami Public & Shareable Open Access


Related Resources

The content of this resource is part of: Van Beusekom, A., Hay, L, (in no particular order -->) Nijssen, B., Bennett, A., Tarboton, D., Wood, A., Choi, Y., Li, Z., Maghami, I., Clark, M., Goodall, J.L. “Hydrologic model sensitivity to temporal disaggregation of meteorological forcing data across CONUS” (In preparation for …)


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis OAC-1664061, OAC-1664018, OAC-1664119

How to Cite

Choi, Y., A. Van Beusekom, Z. Li, B. Nijssen, L. Hay, A. Bennett, D. Tarboton, I. Maghami, J. Goodall, M. P. Clark (2021). Hydrologic Model Sensitivity to Temporal Disaggregation of Meteorological Forcing Data across CONUS, HydroShare, http://www.hydroshare.org/resource/c0e8de47aee744d088db7019d78c2b3f

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



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