Publication: Análisis de la respuesta hidrológica al cambio de cobertura a escala de tiempo intranual en cuencas de mesoescala localizadas en el piedemonte Andino-Amazónico
Authors
Abstract (Spanish)
Abstract (English)
Extent
Collections
References
IPCC, 2021: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [MassonDelmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press. In Press
Brümmer, C., Black, T. A., Jassal, R. S., Grant, N. J., Spittlehouse, D. L., Chen, B., Nesic, Z., Amiro, B. D., Arain, M. A., Barr, A. G., Bourque, C. P. A., Coursolle, C., Dunn, A. L., Flanagan, L. B., Humphreys, E. R., Lafleur, P. M., Margolis, H. A., McCaughey, J. H., & Wofsy, S. C. (2012). How climate and vegetation type influence evapotranspiration and water use efficiency in Canadian forest, peatland and grassland ecosystems. Agricultural and Forest Meteorology, 153, 14–30. https://doi.org/10.1016/J.AGRFORMET.2011.04.008
Fu, J., & Wang, W. (2019). On the lower bound of Budyko curve: The influence of precipitation seasonality. Journal of Hydrology, 570, 292–303. https://doi.org/10.1016/J.JHYDROL.2018.12.062
Greve, P., Burek, P., & Wada, Y. (2019). Using the Budyko Framework for Calibrating a Global Hydrological Model. Water Resources Research, 56(6), 1–19. https://doi.org/10.1029/2019WR026280
Gudmundsson, L., Greve, P., & Seneviratne, S. I. (2016). The sensitivity of water availability to changes in the aridity index and other factors—A probabilistic analysis in the Budyko space. Geophysical Research Letters, 43(13), 6985–6994. https://doi.org/10.1002/2016GL069763
Han, Z., Long, D., Huang, Q., Li, X., Zhao, F., & Wang, J. (2020). Improving Reservoir Outflow Estimation for Ungauged Basins Using Satellite Observations and a Hydrological Model. Water Resources Research, 56(9), 24. https://doi.org/10.1029/2020WR027590
Li, Z., Ning, T., Li, J., & Yang, D. (2017). Spatiotemporal variation in the attribution of streamflow changes in a catchment on China’s Loess Plateau. CATENA, 158, 1–8. https://doi.org/https://doi.org/10.1016/j.catena.2017.06.008
Ma, Z., Kang, S., Zhang, L., Tong, L., & Su, X. (2008). Analysis of impacts of climate variability and human activity on streamflow for a river basin in arid region of northwest China. Journal of Hydrology, 352(3–4), 239–249. https://doi.org/10.1016/J.JHYDROL.2007.12.022
NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team. (2019). ASTER Global Digital Elevation Model V003 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center
Roderick, M. L., & Farquhar, G. D. (2011). A simple framework for relating variations in runoff to variations in climatic conditions and catchment properties. Water Resources Research, 47(6). https://doi.org/10.1029/2010WR009826
Singh, R., & Kumar, R. (2015). Vulnerability of water availability in India due to climate change: A bottom-up probabilistic Budyko analysis. Geophysical Research Letters, 42(22), 9799–9807. https://doi.org/10.1002/2015GL066363
Wang, D., & Hejazi, M. (2011). Quantifying the relative contribution of the climate and direct human impacts on mean annual streamflow in the contiguous United States. Water Resources Research, 47(9). https://doi.org/10.1029/2010WR010283
Xu, X., Liu, W., Scanlon, B. R., Zhang, L., & Pan, M. (2013). Local and global factors controlling water-energy balances within the Budyko framework. Res. Lett, 40, 6123–6129. https://doi.org/10.1002/2013GL058324
Zhang, L., Potter, N. J., & Zhang, Y. (2010). Correction to “Water balance modeling over variable time scales based on the Budyko framework – Model development and testing” [Journal of Hydrology 360 (2008) 117–131. doi:10.1016/j.jhydrol.2008.07.021]. Journal of Hydrology, 390(1–2), 121–122. https://doi.org/10.1016/J.JHYDROL.2010.05.027
Zhou, G., Wei, X., Chen, X., Zhou, P., Liu, X., Xiao, Y., Sun, G., Scott, D. F., Zhou, S., Han, L., & Su, Y. (2015). Global pattern for the effect of climate and land cover on water yield. Nature Communications 2015 6:1, 6(1), 1–9. https://doi.org/10.1038/ncomms6918