Publicaciones Cohorte 2018

A continuación se indican las publicaciones conseguidas en revistas indexadas en SCOPUS e ISI Web of Knowledge:

Publicaciones 2022

Arízaga-Idrovo, V., Pesántez, J., Birkel, C., Peña, P., Mora, E., & Crespo, P. (2022).
Characterizing solute budgets of a tropical Andean páramo ecosystem.
Science of The Total Environment, 835, 155560.
DOI: 10.1016/j.scitotenv.2022.155560
Zhiña, D. X., Mosquera, G. M., Esquivel-Hernández, G., Córdova, M., Sánchez-Murillo, R., Orellana-Alvear, J., & Crespo, P. (2022).
Hydrometeorological factors controlling the stable isotopic composition of precipitation in the highlands of south Ecuador.
Journal of Hydrometeorology.
DOI: 10.1175/JHM-D-21-0180.1
Cabrera, J. J. , Sucozhañay, A. E., Crespo, P., & Timbe, L. (2022).
Applying hydrological modeling to unravel the effects of land use change on the runoff of a paramo ecosystem.
DYNA: revista de la Facultad de Minas. Universidad Nacional de Colombia. Sede Medellín, 89(221), 68-77.
DOI: 10.15446/dyna.v89n221.98132
Cristina Vasquez Vásquez, C., Célleri, R., Córdova, M., & Carrillo-Rojas, G. (2022).
Improving reference evapotranspiration (ETo) calculation under limited data conditions in the high Tropical Andes.
Agricultural Water Management, 262, 107439.
DOI: 10.1016/j.agwat.2021.107439

Publicaciones 2021

Suqui, A., Célleri, R., Crespo, P., & Carrillo-Rojas, G. (2021).
Interactions between leaf area index, canopy density and effective precipitation of a Polylepis reticulata forest located in a paramo ecosystem.
LA GRANJA. Revista de Ciencias de la Vida, 34(2), 63-79.
DOI: 10.17163/lgr.n34.2021.04
Urgilés, G., Célleri, R., Trachte, K., Bendix, J., & Orellana-Alvear, J. (2021).
Clustering of Rainfall Types Using Micro Rain Radar and Laser Disdrometer Observations in the Tropical Andes.
Remote Sensing, 13(5), 991.
DOI: 10.3390/rs13050991

Publicaciones 2020

Pena, Mario & Vázquez-Patiño, Angel & Zhiña, Darío & Ambrosi, Martin & Avilés, Alex. (2020).
Improved Rainfall Prediction through Nonlinear Autoregressive Network with Exogenous Variables: A Case Study in Andes High Mountain Region.
Advances in Meteorology. 2020.
DOI: 10.1155/2020/1828319