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Hydrologic modeling with meteorological forecasts

Authors:
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 498.2 KB
Created:	Apr 21, 2023 at 6:02 p.m.
Last updated:	Apr 25, 2023 at 12:31 p.m.
DOI:	10.4211/hs.fa04577176ee439e8040e7f346ba9b96
Citation:	See how to cite this resource
Content types:	Geographic Feature Content

Sharing Status:	Published
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Downloads:	1
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Abstract

Collection of input data and model results for the investigation of hydrologic modeling techniques to support decision making in the Piracicaba, Capivari and Jundiaí watersheds (PCJ). The designed model couples rainfall-runoff and routing to estimate the necessary discharges in two reservoirs of the Cantareira System in order to fulfill the minimum mean discharge in two control sections downstream, one in Atibaia and another in Valinhos. Through groups of seven days of meteorological forecast data, the outflows are calculated along two years of simulation.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

Piracicaba, Capivari and Jundiaí watersheds study area

North Latitude

-22.8569°

East Longitude

-46.2322°

South Latitude

-23.4631°

West Longitude

-47.0001°

Temporal

Start Date:
End Date:

Content

Learn more about the BagIt download

Select a file to see file type metadata.

README.md

The data are organized in three folders: i. Geographical (with shapefiles localizing the study region), ii. Input (with observed information and rain forecasts) and iii. Output (with modeling results)

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-fa04577176ee439e8040e7f346ba9b96/wms?request=GetCapabilities

Web Feature Service

https://geoserver.hydroshare.org/geoserver/HS-fa04577176ee439e8040e7f346ba9b96/wfs?request=GetCapabilities

Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Fundação Centro Tecnológico de Hidráulica

How to Cite

Perez, R. F. (2023). Hydrologic modeling with meteorological forecasts, HydroShare, https://doi.org/10.4211/hs.fa04577176ee439e8040e7f346ba9b96

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

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

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