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The PISCO-ARNOVIC product

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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 743.3 MB
Created:	Feb 06, 2023 at 3:46 p.m. (UTC)
Last updated:	Nov 07, 2025 at 9:37 p.m. (UTC)
Citation:	See how to cite this resource
Content types:	Geographic Feature Content Multidimensional Content

Sharing Status:	Public
Views:	8400
Downloads:	1133
+1 Votes:	2 others +1 this
Comments:	No comments (yet)

Abstract

This product was developed using the daily gridded (0.1° x 0.1°) precipitation and evapotranspiration PISCO dataset and the coupled ARNO/VIC+RAPID model. The product has coverage throughout Peru, including transboundary basins with neighboring countries. The national model simulates mean daily flows across 11,913 river reaches to provide a fine-scale representation at the national scale. The model was calibrated and validated using observed daily flow records from 43 fluviometric stations during the period 1981 - 2020. Flow simulations will be yearly updated for users.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

1.1858°

East Longitude

-67.3807°

South Latitude

-19.5189°

West Longitude

-82.8494°

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 Documentation OPeNDAP Documentation

Related Resources

This resource is described by

Llauca, H., Leon, K, Lavado, W. Construction of a daily streamflow dataset for Peru using a similarity-based regionalization approach and a hybrid modeling framework. Journal of Hydrology: Regional Studies. 2023; 47, 101381. https://doi.org/10.1016/j.ejrh.2023.101381.

How to Cite

Llauca, H. (2025). The PISCO-ARNOVIC product, HydroShare, http://www.hydroshare.org/resource/f723d6c762ca45b6936dd9489bc44842

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

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

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