Search Results for author: Jakob Schlör

Found 3 papers, 2 papers with code

Using Deep Learning to Identify Initial Error Sensitivity of ENSO Forecasts

1 code implementation23 Apr 2024 Kinya Toride, Matthew Newman, Andrew Hoell, Antonietta Capotondi, Jakob Schlör, Dillon Amaya

We introduce a hybrid method that integrates deep learning with model-analog forecasting, a straightforward yet effective approach that generates forecasts from similar initial climate states in a repository of model simulations.

A multi-modal representation of El Niño Southern Oscillation Diversity

1 code implementation21 Jul 2023 Jakob Schlör, Felix Strnad, Antonietta Capotondi, Bedartha Goswami

To date, ENSO diversity has been described primarily in terms of the longitudinal location of peak SSTA, used to define a bimodal classification of events in Eastern Pacific (EP) and Central Pacific (CP) types.

Teleconnection patterns of different El Niño types revealed by climate network curvature

no code implementations7 Mar 2022 Felix M. Strnad, Jakob Schlör, Christian Fröhlich, Bedartha Goswami

The diversity of El Ni\~no events is commonly described by two distinct flavors, the Eastern Pacific (EP) and Central Pacific (CP) types.

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