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’s representativeness and its predictive power in ungauged basins. Figure 2a shows a scatterplot comparing the predicted and observed peak discharge values that display data pairs grouped along the 1:1 line. A corresponding density-colored scatterplot of the simulated versus observed unit peak discharges ( Fig. 2b ) can be qualitatively compared with Fig. 2a in Gourley et al. (2017) and suggests superior performance in predicting peak flows as compared with the CREST water balance module with kinematic wave
’s representativeness and its predictive power in ungauged basins. Figure 2a shows a scatterplot comparing the predicted and observed peak discharge values that display data pairs grouped along the 1:1 line. A corresponding density-colored scatterplot of the simulated versus observed unit peak discharges ( Fig. 2b ) can be qualitatively compared with Fig. 2a in Gourley et al. (2017) and suggests superior performance in predicting peak flows as compared with the CREST water balance module with kinematic wave
: Tensorflow: A system for large-scale machine learning . 12th USENIX Symp. on Operating Systems Design and Implementation (OSDI’16) , Savannah, GA, USENIX Association , 265 – 283 . Anderegg , W. R. , and Coauthors , 2015 : Pervasive drought legacies in forest ecosystems and their implications for carbon cycle models . Science , 349 , 528 – 532 , https://doi.org/10.1126/science.aab1833 . 10.1126/science.aab1833 Andrews , D. G. , 2010 : An Introduction to Atmospheric Physics . Cambridge
: Tensorflow: A system for large-scale machine learning . 12th USENIX Symp. on Operating Systems Design and Implementation (OSDI’16) , Savannah, GA, USENIX Association , 265 – 283 . Anderegg , W. R. , and Coauthors , 2015 : Pervasive drought legacies in forest ecosystems and their implications for carbon cycle models . Science , 349 , 528 – 532 , https://doi.org/10.1126/science.aab1833 . 10.1126/science.aab1833 Andrews , D. G. , 2010 : An Introduction to Atmospheric Physics . Cambridge
