STIMP
0.1.0
Installation
Usage
Train baselines
Four representative coastal ocean area analysis
Supplementary main results
Imputation length (including half year and one-and-a-half years)
Prediction Length
Different Prediction Horizons in PRE
Different Prediction Horizons in Chesapeake Bay
Different Prediction Horizons in Gulf of the Mexico
Different Prediction Horizons in Yangtze River Estuary
Recurrent Prediction
Case study: predicted Chl_a of STIMP and baselines trained on imputed dataset
STIMP, MaskedAE and Lin-itp
Imputation of DINEOF with different t
Predicted Chl_a of STIMP and Climate mean
STIMP
Supplementary main results
Prediction Length
View page source
Prediction Length
Different Prediction Horizons in PRE
Different Prediction Horizons in Chesapeake Bay
Different Prediction Horizons in Gulf of the Mexico
Different Prediction Horizons in Yangtze River Estuary