Repo for machine learning models for regional prediction of hydrologic forcing functions. Includes probabilistic seasonal high flow regions for CONUS, and prediction of high flow metrics for selected regions.
Very quick change for issue #187 to screen out reaches that had NAs in their feature values. There were also a handful of features that had values of -9998 or -9999 so I removed those rows as well.
Very quick change for issue #187 to screen out reaches that had NAs in their feature values. There were also a handful of features that had values of -9998 or -9999 so I removed those rows as well.
feature with -9998 or -9999 values: [1] "ACC_STREAM_SLOPE" "TOT_STREAM_SLOPE" "ACC_HGA" "ACC_HGAC" "ACC_HGAD"
[6] "ACC_HGB" "ACC_HGBC" "ACC_HGBD" "ACC_HGC" "ACC_HGCD"
[11] "ACC_HGD" "ACC_HGVAR" "CAT_HGA" "CAT_HGAC" "CAT_HGAD"
[16] "CAT_HGB" "CAT_HGBC" "CAT_HGBD" "CAT_HGC" "CAT_HGCD"
[21] "CAT_HGD" "CAT_HGVAR" "TOT_HGA" "TOT_HGAC" "TOT_HGAD"
[26] "TOT_HGB" "TOT_HGBC" "TOT_HGBD" "TOT_HGC" "TOT_HGCD"
[31] "TOT_HGD" "TOT_HGVAR" "ACC_SRL25AG" "ACC_SRL35AG" "ACC_SRL45AG"
[36] "ACC_SRL55AG" "CAT_SRL25AG" "CAT_SRL35AG" "CAT_SRL45AG" "CAT_SRL55AG"
[41] "TOT_SRL25AG" "TOT_SRL35AG" "TOT_SRL45AG" "TOT_SRL55AG" "CAT_RECHG"
[46] "ACC_RECHG" "TOT_RECHG" "CAT_EWT" "ACC_EWT" "TOT_EWT"