ABSTRACT:

Hydrologic simulations with the Structure for Unifying Multiple Modelling Alternatives (SUMMA) for the Bow river above Banff, AB, Canada. Contains simulations for four different spatial discretizations, including routing results where applicable.

Hydrologic model: SUMMA (Clark et al., 2015a,b)
Routing: mizuRoute (Mizukami et al., 2016)
Meteorologic forcing data: WRF (Liu et al., 2017)
Soil classes: derived from sand/soil/silt % in SOILGRIDS (Hengl et al., 2017)
Land use classes: MODIS Vegetation and land use (Friedl et al., 2019)

ABSTRACT:

This resource contains a global map of soil texture classes, derived from SOILGRIDS data (Hengl et al., 2017) using the revised soil texture triangle definitions from Benham et al. (2009). Global maps of sand, silt and clay percentages were downloaded for 7 soil depths (0, 5, 15, 30, 60, 100 and 200 cm) at the native SOILGRIDS resolution of 250 m by 250 m. For each depth, percentages were converted into 1 out of 12 possible soil texture classes. The map in this resource represents the mode soil texture class over the 7 depths at each pixel. In case of a tie on a given pixel (i.e. two or more soil texture classes occur the most often with an equal number of times), the lowest class number is shown. This is a choice of convenience; no physical considerations support this choice.

Soil texture class definitions:
0: no class assigned (source data sand, silt, clay percentages all contain "no data" values)
1: Clay
2: Clay loam
3: Loam
4: Loamy sand
5: Sand
6: Sandy clay
7: Sandy clay loam
8: Sandy loam
9: Silt
10: Silty clay
11: Silty clay loam
12: Silt loam

Source data downloaded on 25-26 April, 2020, from: https://files.isric.org/soilgrids/data/recent/. URL has since changed to: https://files.isric.org/soilgrids/former/2017-03-10/data/. Code used to generate this map can be found in the folder `code` that is part of this resource.

ABSTRACT:

Hydrologic modeling can benefit from well-documented workflows that track every decision made during model configuration. Such a workflow is described in the paper "Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating model-agnostic and model-specific configuration steps in applications of large-domain hydrologic models". This resource contains the ESRI shapefiles used in this paper's global and continental test cases. The shapefiles are provided per continent (excluding Greenland and Antarctica) and contain both river basin discretizations and river networks. These shapefiles are based on the Merit Hydro basin delineation (Lin et al., 2019) and differ from that work only in small ways. They are provided here to provide full traceability of the work presented in the "Community Workflows" paper.

ABSTRACT:

Test cases for the Structure for Unifying Multiple Modeling Alternatives (SUMMA; Clark et al., 2015a,b,c, 2021) v3.x.

Note that SUMMA v3.x is structured differently than SUMMA v1.x and v2.x, and these test cases do not work with earlier SUMMA versions. See the included README for further details.

ABSTRACT:

This resource contains the ESRI shapefiles used during basin delineation of the CAMELS-spat database. CAMELS-spat contains a collection of river basins in the United States and Canada that can be used for model evaluation and improvement. These shapefiles are provided here to increase reproducibility of the data set creation process.

ABSTRACT:

This resource provides the necessary code to run all exercises of the CIROH_HydroLearn Course "Model structure uncertainty with MARRMoT".
The course can be found here: https://edx.hydrolearn.org/courses/course-v1:CIROH_HydroLearn+TUD_MHYD03_MARRMoT+2025/about

Please note that this resource includes only a subset of MARRMoT model structures and four workflow examples on how to use MARRMoT.
It is not a full version of the modelling toolbox.

ABSTRACT:

This resource provides the necessary code to run all exercises of the CIROH_HydroLearn Course "Model structure uncertainty with MARRMoT".
The course can be found here: https://edx.hydrolearn.org/courses/course-v1:CIROH_HydroLearn+TUD_MHYD03_MARRMoT+2025/about

Please note that this resource includes only a subset of MARRMoT model structures and four workflow examples on how to use MARRMoT.
It is not a full version of the modelling toolbox.

ABSTRACT:

NOTE: The shapefile in this resource represents a work in progress.

This shapefile shows a hierarchical classification of the North American continent into hydrologically meaningful regions. The classification consists of 5 broad domains, subdivided further into 35 hydrologic provinces. The province outlines are derived from existing polygons that outline the Level III Eco-Regions of North America. The hydrologic domains are color coded (north = blue, west = red, central = yellow, east = green, island = purple); the provinces are named within the shapefile and shown in a shade representative of their domain. A ready-to-use image is provided in the PDF file. The boundaries of the provinces were derived through multiple community workshops and expert consultations. This process, the reasoning for drawing the boundaries where they are, and perceptual models of hydrologic behavior for each province will be described in an upcoming set of publications.

The files in this resource are provided here to make it possible to start using this classification, with the understanding that this is a work-in-progress. We ask users to check for a final set of citations in due course.

This research was supported by the Cooperative Institute for Research to Operations in Hydrology (CIROH) with funding under award NA22NWS4320003 from the NOAA Cooperative Institute Program. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the opinions of NOAA.

ABSTRACT:

NOTE: The shapefile in this resource represents a work in progress.

This shapefile shows a hierarchical classification of the North American continent into hydrologically meaningful regions. The classification consists of 5 broad domains, subdivided further into 35 hydrologic provinces. The province outlines are derived from existing polygons that outline the Level III Eco-Regions of North America. The hydrologic domains are color coded (north = blue, west = red, central = yellow, east = green, island = purple); the provinces are named within the shapefile and shown in a shade representative of their domain. A ready-to-use image is provided in the PDF file. The boundaries of the provinces were derived through multiple community workshops and expert consultations. This process, the reasoning for drawing the boundaries where they are, and perceptual models of hydrologic behavior for each province will be described in an upcoming set of publications.

The files in this resource are provided here to make it possible to start using this classification, with the understanding that this is a work-in-progress. We ask users to check for a final set of citations in due course.

This research was supported by the Cooperative Institute for Research to Operations in Hydrology (CIROH) with funding under award NA22NWS4320003 from the NOAA Cooperative Institute Program. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the opinions of NOAA.

ABSTRACT:

This HydroShare collection brings together the principal geospatial and visual products developed through a continental-scale synthesis of hydrologic landscapes and dominant hydrologic processes across North America. The collection serves as the shared data archive for two companion studies. The first of these describes the delineation of the North American continent into a hierarchical set of five high-level domains and 35 smaller hydrologic provinces, based on extensive expert consultation supported by geospatial data. The second of these describes perceptual models of hydrologic behaviour for each domain and province, based on expert consultation, literature review, and insights from research watersheds.

Together, these studies describe regional differences in climate, land cover, subsurface properties, water storage, hydrologic fluxes, and dominant flow paths across North America. Organizing these products within a single HydroShare collection preserves their relationships while allowing each resource to retain its own metadata, documentation, citation, and persistent identifier, thereby supporting the findability, accessibility, interpretation, citation, and reuse of the project outputs. The collection contains three related, independently citable resources:

1. The geospatial delineation of five high-level hydrologic domains and 35 hydrologic provinces;
2. Illustrations synthesizing dominant hydrologic processes across the five domains;
3. Hydrologic perceptual model illustrations and supporting fact sheets for the 35 provinces.

ABSTRACT:

This HydroShare resource contains 35 hydrologic perceptual model illustrations, one for each hydrologic province across North America, together with a shared legend and accompanying province fact sheets. The perceptual model illustrations characterize each province in terms of climate, land cover, subsurface conditions, and the dominant hydrologic fluxes and flow-path types that control water partitioning, storage, movement, and release. The legend defines the symbols and icons used consistently across all illustrations. The province fact sheets provide complementary regional characteristics derived from the processing and synthesis of multiple geospatial datasets, including snow conditions, temperature, precipitation, average soil thickness, average sedimentary-deposit thickness, agricultural extent and type, permafrost, burned area, lakes, population density, mean annual runoff, and land-cover types. To maintain readability, the fact sheets are organized into two companion PDF documents, each containing 35 pages, with one page per hydrologic province; the corresponding pages in the two PDFs together present the complete set of regional characteristics for each province.

ABSTRACT:

This HydroShare resource presents illustrations of dominant hydrologic processes across five major North American domains: Northern, Western, Central, Eastern, and Islands. Hydrologic processes describe the pathways and mechanisms that move water through the environment. These processes include, but not limited to, interception by vegetation, infiltration into soil, movement through shallow and deep groundwater, snow accumulation and melt, surface runoff, evaporation, transpiration through vegetation, and movement of water into streams, rivers, lakes, wetlands, and aquifers. Understanding these processes is essential for explaining watershed behavior, predicting streamflow, evaluating flood and drought risks, and improving hydrologic models.

The domain classification reflects two broad controls on hydrologic behavior: north-south variation in energy availability, driven by latitude, solar angle, and seasonality, and east-west variation in water availability, shaped by the interaction of moisture-laden oceanic air with western mountain ranges. Together, these controls influence temperature, snow accumulation and melt, frozen ground, evapotranspiration, precipitation, aridity, runoff generation, groundwater recharge, and the timing of streamflow, helping explain broad regional differences in hydrologic processes across the continent.