Repositorio
Institucional

Alvarez-Garreton, Camila

Mendoza, Pablo A.#Pablo Boisier, Juan#Addor, Nans#Galleguillos, Mauricio#Zambrano-Bigiarini, Mauricio#Lara, Antonio#Puelma, Cristobal#Cortes, Gonzalo#Garreaud, Rene#McPhee, James#Ayala, Alvaro

The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies - Chile dataset

COPERNICUS GESELLSCHAFT MBH

HYDROLOGY AND EARTH SYSTEM SCIENCES

en

We introduce the first catchment dataset for large sample studies in Chile. This dataset includes 516 catchments, it covers particularly wide latitude (17.8 to 55.0 degrees S) and elevation (0 to 6993 m a.s.l.) ranges, and it relies on multiple data sources (including ground data, remotesensed products and reanalyses) to characterise the hydro-climatic conditions and landscape of a region where in situ measurements are scarce. For each catchment, the dataset provides boundaries, daily streamflow records and basin-averaged daily time series of precipitation (from one national and three global datasets), maximum, minimum and mean temperatures, potential evapotranspiration (PET, from two datasets), and snow water equivalent. We calculated hydro-climatological indices using these time series, and leveraged diverse data sources to extract topographic, geological and land cover features. Relying on publicly available reservoirs and water rights data for the country, we estimated the degree of anthropic intervention within the catchments. To facilitate the use of this dataset and promote common standards in large sample studies, we computed most catchment attributes introduced by Addor et al. (2017) in their Catchment Attributes and MEteorology for Large-sample Studies (CAMELS) dataset, and added several others. We used the dataset presented here (named CAMELS-CL) to characterise regional variations in hydro-climatic conditions over Chile and to explore how basin behaviour is influenced by catchment attributes and water extractions. Further, CAMELS-CL enabled us to analyse biases and uncertainties in basin-wide precipitation and PET. The characterisation of catchment water balances revealed large discrepancies between precipitation products in arid regions and a systematic precipitation underestimation in headwater mountain catchments (high elevations and steep slopes) over humid regions. We evaluated PET products based on ground data and found a fairly good performance of both products in humid regions (r > 0.91) and lower correlation (r < 0.76) in hyperarid regions. Further, the satellite-based PET showed a consistent overestimation of observation-based PET. Finally, we explored local anomalies in catchment response by analysing the relationship between hydrological signatures and an attribute characterising the level of anthropic interventions. We showed that larger anthropic interventions are correlated with lower than normal annual flows, runoff ratios, elasticity of runoff with respect to precipitation, and flashiness of runoff, especially in arid catchments. CAMELS-CL provides unprecedented information on catchments in a region largely underrepresented in large sample studies. This effort is part of an international initiative to create multi-national large sample datasets freely available for the community. CAMELS-CL can be visualised from http://camels.cr2.c1 and downloaded from https://doi.pangaea.de/10.1594/PANGAEA.894885.

Artículo original

This research emerged from the collaboration with many colleagues at the Center for Climate and Resilience Research (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton is funded by FONDECYT postdoctoral grant no. 3170428. Pablo Mendoza received additional support from FONDECYT postdoctoral grant no. 3170079. Mauricio Zambrano-Bigiarini thanks FONDECYT 11150861 for financial support. The development of CR2MET was supported by the Chilean Water Directorate (DGA), through National Water Balance Updating Project DGA-2319, and by FONDECYT grant no. 3150492. This study is a contribution to the Large-sample Hydrology working group of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS). We thank Guillermo Tapia from the DGA for his advice on stream-gauge locations.

Esta investigación surgió de la colaboración con muchos colegas del Centro de Investigación sobre Clima y Resiliencia (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton está financiada por la beca postdoctoral FONDECYT n.º 3170428. Pablo Mendoza recibió apoyo adicional de la beca postdoctoral FONDECYT n.º 3170079. Mauricio Zambrano-Bigiarini agradece a FONDECYT 11150861 por el apoyo financiero. El desarrollo de CR2MET fue apoyado por la Dirección General de Aguas de Chile (DGA), a través del Proyecto de Actualización del Balance Hídrico Nacional DGA-2319, y por la beca FONDECYT n.º 3150492. Este estudio es una contribución al grupo de trabajo de Hidrología de Muestras Grandes de la Iniciativa de Investigación Panta Rhei de la Asociación Internacional de Ciencias Hidrológicas (AICH). Agradecemos a Guillermo Tapia de la DGA por su asesoramiento sobre la ubicación de los aforadores.

10.5194/hess-22-5817-2018

pdf

http://dx.doi.org/10.5194/hess-22-5817-2018

Geosciences, Multidisciplinary# Water Resources

Oceanografía, Hidrología y Recursos del Agua

Meteorología y Ciencias Atmosféricas

Geociencias

WOS:000449995800002

The CAMELS-CL dataset: catchment attributes and meteorology for large sample studies - Chile dataset

Artículo original

version publicada

COPERNICUS GESELLSCHAFT MBH

HYDROLOGY AND EARTH SYSTEM SCIENCES

Geociencias, Multidisciplinaria# Recursos hídricos

1027-5606

en

ANID CONICYT FONDAP 15110009#ANID FONDECYT 3170428#ANID FONDECYT 317007#ANID FONDECYT 11150861

ANID FONDECYT 3170428

ANID FONDECYT 3170079

ANID FONDECYT 11150861

ANID FONDECYT 3150492

DGA 2319

This research emerged from the collaboration with many colleagues at the Center for Climate and Resilience Research (CR2, CONICYT/FONDAP/15110009). Camila Alvarez-Garreton is funded by FONDECYT postdoctoral grant no. 3170428. Pablo Mendoza received additional support from FONDECYT postdoctoral grant no. 3170079. Mauricio Zambrano-Bigiarini thanks FONDECYT 11150861 for financial support. The development of CR2MET was supported by the Chilean Water Directorate (DGA), through National Water Balance Updating Project DGA-2319, and by FONDECYT grant no. 3150492. This study is a contribution to the Large-sample Hydrology working group of the Panta Rhei Research Initiative of the International Association of Hydrological Sciences (IAHS). We thank Guillermo Tapia from the DGA for his advice on stream-gauge locations.

pdf

dorada#verde

acceso abierto

acceso abierto

CC BY

37

48