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Paraiba do Sul basin database
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Type: Resource
Storage: The size of this resource is 17.7 GB
Created: Oct 19, 2022 at 1:04 p.m.
Last updated: Nov 08, 2022 at 2:46 p.m.
DOI: 10.4211/hs.977c24b20a1a4c3caf71bf7e47ff802a
Citation: See how to cite this resource
Content types: Geographic Raster Content 
Sharing Status: Published
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Abstract

This resource describes a dataset created for the purpose of simulating the Paraiba do Sul basin with hydrological distributed models. The dataset contains gridded numerical and descriptive information related to different characteristics of the basin. Distributed hydrological models are useful tools for the management of water resources, as they allow estimating the hydrological regime in a basin according to its physical, rainfall and land use change characteristics, seeking to accurately quantify the availability of water allowing planning future use according to scenarios of land use change or climate change.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Paraiba do Sul Basin
North Latitude
-20.3418°
East Longitude
-40.7457°
South Latitude
-23.9934°
West Longitude
-46.7550°

Temporal

Start Date:
End Date:

Content

readme.md

General Information

This readme file was generated on 2022-10-10 by Lina Maria Osorio and Gabriel A. dos Santos Soares.

Title of Dataset

Paraíba do Sul Basin Database.

Contact Information for User

rubem.hydrological+support@labsid.eng.br

Date of Data Collection

2000-01-01 to 2021-12-31.

Geographic Location of Data Collection

  • Projection: EPSG:4326 – WGS 84;
  • Extent (dd):
  • xmin: -46.755;
  • xmax: -40.7457;
  • ymin: -23.9934;
  • ymax: -20.3418.
  • Spatial Resolution: 250m;
  • 1299 rows x 789 columns.

Data & File Overview

Directories

  • dem
  • Description: Digital Elevation Model from NASADEM
  • Data Type: Float32 PCRaster file
  • Units: meters
  • prec
  • Description: Monthly Precipitation raster series
  • Data Type: Float32 PCRaster file
  • Units: millimeters
  • etp
  • Description: Monthly Potential Evapotranspiration raster series
  • Data Type: Float32 PCRaster file
  • Units: millimeters
  • landuse
  • Description: Monthly and Annual Landuse raster series
  • Data Type: Float32 PCRaster file
  • Units: nominal PCRaster value
  • ndvi
  • Description: Monthly NDVI raster series
  • Data Type: Float32 PCRaster file
  • Units: dimensionless
  • soil
  • Description: Soil map
  • Data Type: Int32 PCRaster files
  • Units: nominal PCRaster value
  • kp
  • Description: Monthly Class-A pan coefficient raster series
  • Data Type: Float32 PCRaster files
  • Units: dimensionless
  • soil tables
  • Description: Soil hydro-physics parameters
  • Data Type: txt files
  • Units: cm^3/cm^3, g/cm^3, cm
  • landuse tables
  • Description: Landuse parameters
  • Data Type: txt files
  • Units: dimensionless

Where:

  • ndvi is the Normalized Difference Vegetation Index;
  • etp is the potential evapotranspiration by Penman-Monteith method;
  • soil tables parameters are associated to each class in soil map;
  • landuse tables are associated to each class in landuse raster series.

Methodological Information

Refer to the attached document at each folder for details information.

Data from ranfainfall and meterological gauge stions wer collected and processes to obtains point measures that were converted to raster data by kriging interpolation and variogram parameters were optimized using the SciKit-GStat, a methodology for NDVI gap-filling (refer to section 3.1.5) was developed to obtain the raster series and literature values for hydrophysical parameters of soil and land use were collected.

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-977c24b20a1a4c3caf71bf7e47ff802a/wms?request=GetCapabilities

Web Coverage Service

https://geoserver.hydroshare.org/geoserver/HS-977c24b20a1a4c3caf71bf7e47ff802a/wcs?request=GetCapabilities

How to Cite

Osorio Olivos, L. M., A. V. M. Júnior, S. S. Marcellini, D. H. Hossoda, R. M. Chagas, G. A. d. S. Soares, F. R. d. S. Jacobsem, A. Schardong (2022). Paraiba do Sul basin database, HydroShare, https://doi.org/10.4211/hs.977c24b20a1a4c3caf71bf7e47ff802a

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

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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