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.
We should further explore the attributes available for CONUS reaches and make decisions about applicability of prediction for those reaches. For example, there are NAs for some attributes:
We should further explore the attributes available for CONUS reaches and make decisions about applicability of prediction for those reaches. For example, there are NAs for some attributes:
colnames(p1_feature_vars_conus)[unique(which(is.na(p1_feature_vars_conus), arr.ind = TRUE)[,2])] [1] "CAT_STREAMRIVER" "CAT_ARTIFICIAL" "CAT_CANALDITCH" "CAT_CONNECTOR" "CAT_PIPELINE" "ACC_STREAMRIVER" [7] "ACC_ARTIFICIAL" "ACC_CANALDITCH" "ACC_CONNECTOR" "ACC_PIPELINE" "TOT_STREAMRIVER" "TOT_ARTIFICIAL" [13] "TOT_CANALDITCH" "TOT_CONNECTOR" "TOT_PIPELINE" "CAT_STRM_DENS" "ACC_STRM_DENS" "TOT_STRM_DENS"