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[HydroLearn] Rainfall Spatial Characteristics and Their Impact on Hydrology

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Owners:		This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type:	Resource
Storage:	The size of this resource is 12.0 MB
Created:	Jun 04, 2026 at 7:32 p.m. (UTC)
Last updated:	Jun 24, 2026 at 8:08 p.m. (UTC)
Citation:	See how to cite this resource
Content types:	Multidimensional Content CSV Content

Sharing Status:	Public
Views:	41
Downloads:	690
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Abstract

This HydroShare resource contains the datasets, Jupyter Notebooks, and supporting materials required to complete the HydroLearn module "Rainfall Spatial Characteristics and Their Impact on Hydrology." The module introduces learners to the use of NOAA's Multi-Radar Multi-Sensor (MRMS) precipitation products for watershed-scale hydrologic analysis and explores how the spatial organization of rainfall influences flood response.

The repository includes Jupyter Notebooks, watershed boundary files, streamflow observations, and supporting datasets used throughout the module. These resources are intended for educational purposes and support reproducible hydrologic and geospatial analyses within the HydroLearn learning environment.

Please cite the associated HydroLearn module:
Huang, Y., Gomez F., (2026). Rainfall Spatial Characteristics and Their Impact on Hydrology. HydroLearn. https://edx.hydrolearn.org/courses/course-v1:UH+HL401+2026_S2/about

Subject Keywords

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Mānoa, Hawaii

Longitude

-157.3461°

Latitude

20.3810°

Temporal

Start Date:
End Date:

Content

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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.

THREDDS Data Service

https://thredds.hydroshare.org/thredds/catalog/hydroshare/resources/0e85b035b2c641d79efa7474ba505154/data/contents/catalog.html

THREDDS Documentation OPeNDAP Documentation

How to Cite

Gomez, F., Huang, Y. (2026). [HydroLearn] Rainfall Spatial Characteristics and Their Impact on Hydrology, HydroShare, http://www.hydroshare.org/resource/0e85b035b2c641d79efa7474ba505154

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

http://creativecommons.org/licenses/by/4.0/

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