Preprints
https://doi.org/10.5194/essd-2021-215
https://doi.org/10.5194/essd-2021-215

  17 Aug 2021

17 Aug 2021

Review status: this preprint is currently under review for the journal ESSD.

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

Emilio I. Mateo1, Bryan G. Mark1, Robert Å. Hellström2, Michel Baraer3, Jeffrey M. McKenzie4, Thomas Condom5, Alejo Cochachín Rapre6, Gilber Gonzales6, Joe Quijano Gómez6, and Rolando Cesai Crúz Encarnación6 Emilio I. Mateo et al.
  • 1Department of Geography, Byrd Polar and Climate Research Center, The Ohio State University, Columbus, OH, USA
  • 2Department of Geography, Bridgewater State University, Bridgewater, MA, USA
  • 3Département de génie de la construction, École de technologie supérieure, Montreal, QC, Canada
  • 4Department of Earth and Planetary Sciences, McGill University, Montreal, QC, Canada
  • 5Université Grenoble Alpes, CNRS, IRD, Grenoble-INP, Institut des Géosciences de l’Environnement (IGE, UMR 5001), Grenoble, France
  • 6Peruvian National Water Authority, Division of Glaciers and Water Resources, Huaraz, Peru

Abstract. This article 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 described in this paper 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. The datasets presented here are available freely from https://doi.org/10.4211/hs.059794371790407abd749576df8fd121 (Mateo et al., 2021). Combined, the hydrological and meteorological data collected throughout the Cordillera Blanca enable detailed research of atmospheric and hydrological processes in tropical high-mountain terrain.

Emilio I. Mateo et al.

Status: open (until 12 Oct 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-215', Anonymous Referee #1, 13 Sep 2021 reply
  • RC2: 'Comment on essd-2021-215', Anonymous Referee #2, 14 Sep 2021 reply

Emilio I. Mateo et al.

Data sets

High temporal resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004-2020) Emilio I. Mateo, Bryan G. Mark, Robert Å. Hellström, Michel Baraer, Jeffrey M. McKenzie, Thomas Condom, Alejo Cochachín Rapre, Gilber Gonzales, Joe Quijano Gómez, Rolando Cesai Crúz Encarnación https://doi.org/10.4211/hs.059794371790407abd749576df8fd121

Emilio I. Mateo et al.

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Short summary
This article provides detailed and comprehensive hydrological and meteorological datasets collected over the past two decades throughout the Cordillera Blanca, Peru. With four weather stations and six streamflow gauges ranging from 3738–4750 m above sea level, this network displays a vertical breadth of data and enables detailed research of atmospheric and hydrological processes in a tropical high mountain region.