Hydrologic modeling with meteorological forecasts
| Authors: | |
|---|---|
| Owners: | Raphael Ferreira Perez |
| Type: | Resource |
| Storage: | The size of this resource is 538.9 KB |
| Created: | Apr 21, 2023 at 6:02 p.m. |
| Last updated: | Apr 25, 2023 at 12:31 p.m. (Metadata update) |
| Published date: | 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 Geographic Feature Content Geographic Feature Content |
| Sharing Status: | Published |
|---|---|
| Views: | 620 |
| Downloads: | 13 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
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: | 01/01/2020 |
|---|---|
| End Date: | 12/07/2021 |
Leaflet Map data © OpenStreetMap contributors
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
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.
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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