Author:
Yanto ,Livneh Ben,Rajagopalan Balaji
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference33 articles.
1. Beeson, P. C. et al. Treatment of precipitation inputs to hydrologic models. ASABE 54, 2011–2020 (2011).
2. Luzio, M. D., Johnson, G. L., Daly, C., Eischeid, J. K. & Arnold, J. G. Constructing retrospective gridded daily precipitation and temperature datasets for the Conterminous United States. J. Appl. Meteorol. Clim. 47, 475–497 (2008).
3. Yatagai, A. et al. APHRODITE: constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges. B. Am. Meteorol. Soc 93, 1401–1415 (2012).
4. Pechlivanidis, I. G., Jackson, B. M., McIntyre, N. R. & Weather, H. S. Catchment scale hydrological modelling: A review of model types, calibration approaches and uncertainty analysis methods in the context of recent developments in technology and applications. Global. NEST. J 13, 193–214 (2011).
5. Livneh, B. et al. A spatially comprehensive, hydrometeorological dataset for Mexico, the U.S., and Southern Canada 1950–2013. Sci. Data 2, 150042 (2015).
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