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High-resolution hydrometeorological data from a network of headwater catchments in the tropical Andes

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Title: High-resolution hydrometeorological data from a network of headwater catchments in the tropical Andes
Authors: Ochoa-Tocachi, BF
Buytaert, W
Antiporta, J
Acosta, L
Bardales, JD
Célleri, R
Crespo, P
Fuentes, P
Gil-Ríos, J
Guallpa, M
Llerena, C
Olaya, D
Pardo, P
Rojas, G
Villacís, M
Villazón, M
Viñas, P
De Bièvre, B
Item Type: Journal Article
Abstract: This article presents a hydrometeorological dataset from a network of paired instrumented catchments, obtained by participatory monitoring through a partnership of academic and non-governmental institutions. The network consists of 28 headwater catchments (<20 km2) covering three major biomes in 9 locations of the tropical Andes. The data consist of precipitation event records at 0.254 mm resolution or finer, water level and streamflow time series at 5 min intervals, data aggregations at hourly and daily scale, a set of hydrological indices derived from the daily time series, and catchment physiographic descriptors. The catchment network is designed to characterise the impacts of land-use and watershed interventions on the catchment hydrological response, with each catchment representing a typical land use and land cover practice within its location. As such, it aims to support evidence-based decision making on land management, in particular evaluating the effectiveness of catchment interventions, for which hydrometeorological data scarcity is a major bottleneck. The data will also be useful for broader research on Andean ecosystems, and their hydrology and meteorology.
Issue Date: 3-Jul-2018
Date of Acceptance: 13-Mar-2018
URI: http://hdl.handle.net/10044/1/60691
DOI: https://dx.doi.org/10.1038/sdata.2018.80
ISSN: 2052-4463
Publisher: Nature Publishing Group
Journal / Book Title: Scientific Data
Volume: 5
Copyright Statement: © The Author(s) 2018. This article is licensed under a Creative Commons Attribution 4.0 Interna- tional License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article ’ s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article ’ s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons. org/licenses/by/4.0/
Sponsor/Funder: Imperial College London
Natural Environment Research Council [2006-2012]
Funder's Grant Number: President's PhD Scholarship
NE/L002515/1
Publication Status: Published
Conference Place: England
Open Access location: https://www.nature.com/articles/sdata201880
Article Number: 180080
Appears in Collections:Faculty of Engineering
Civil and Environmental Engineering
Centre for Environmental Policy
Faculty of Natural Sciences



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