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High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004-2020)


A newer version of this resource https://doi.org/10.4211/hs.c35ae06cb26041b096dd07e1cbf8ebf5 is available that replaces this version.
An older version of this resource https://doi.org/10.4211/hs.059794371790407abd749576df8fd121 is available.
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Type: Resource
Storage: The size of this resource is 111.1 MB
Created: Jan 19, 2022 at 7:31 p.m.
Last updated: Feb 16, 2022 at 9:29 p.m. (Metadata update)
Published date: Jan 19, 2022 at 7:52 p.m.
DOI: 10.4211/hs.6b81a08454f840ffa2c97c4e2b47daba
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

This resource provides a comprehensive hydrometeorological dataset collected over the past two decades throughout the Cordillera Blanca, Peru. The data recording sites, located in the upper portion of the Rio Santa valley, also known as the Callejon de Huaylas, span an elevation range of 3738 - 4750 m a.s.l. As many historical hydrological stations measuring daily discharge across the region became defunct after their installation in the 1950s, there was a need for new stations to be installed and an opportunity to increase the temporal resolution of the streamflow observations. Through inter-institutional collaboration the hydrometeorological network provided here was deployed with goals to evaluate how progressive glacier mass loss was impacting stream hydrology, and to better understand the local manifestation of climate change over diurnal to seasonal and interannual time scales. The four automatic weather stations supply detailed meteorological observations, and are situated in a variety of mountain landscapes, with one on a high-mountain pass, another next to a glacial lake, and two in glacially carved valleys. Four additional temperature and relative humidity loggers complement the weather stations within the Llanganuco valley by providing these data across an elevation gradient. The six streamflow gauges are located in tributaries to the Rio Santa and collect high temporal resolution runoff data. Combined, the hydrological and meteorological data collected throughout the Cordillera Blanca enable detailed research of atmospheric and hydrological processes in tropical high-mountain terrain.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Cordillera Blanca, Peru
North Latitude
-8.6680°
East Longitude
-77.0016°
South Latitude
-10.1474°
West Longitude
-77.8695°

Temporal

Start Date:
End Date:

Content

Related Resources

This resource updates and replaces a previous version Mateo, E. I., B. G. Mark, R. Å. Hellström, M. Baraer, J. M. McKenzie, T. Condom, A. C. Rapre, G. Gonzales, J. Q. Gómez, R. C. C. Encarnación (2021). High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004-2020), HydroShare, https://doi.org/10.4211/hs.059794371790407abd749576df8fd121
This resource has been replaced by a newer version Mateo, E. I., B. G. Mark, R. Å. Hellström, M. Baraer, J. M. McKenzie, T. Condom, A. C. Rapre, G. Gonzales, J. Q. Gómez, R. C. C. Encarnación (2022). High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004-2020), HydroShare, https://doi.org/10.4211/hs.c35ae06cb26041b096dd07e1cbf8ebf5

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
NSF 0752175
National Geographic Society
NASA (New Investigator Program)
US Fulbright 4506

How to Cite

Mateo, E. I., B. G. Mark, R. Å. Hellström, M. Baraer, J. M. McKenzie, T. Condom, A. C. Rapre, G. Gonzales, J. Q. Gómez, R. C. C. Encarnación (2022). High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004-2020), HydroShare, https://doi.org/10.4211/hs.6b81a08454f840ffa2c97c4e2b47daba

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

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

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