Public deliverables

Public deliverables

Find below the list of CAFE’s Public Deliverables. Please, notice that links to the Deliverables will be provided here once they have been submitted to the European Commission and made available online.


Work Package 2

Deliverable 2.1 Which hazardous meteorological quantities in a spatial mode analysis possess the strongest correlations with ENSO phases

Deliverable 2.2 Identification of large-scale weather patterns that lead to severe temperature condition and their predictability

Deliverable 2.3 Machine learning prediction of the Madden-Julian Oscillation

Deliverable 2.4 Report on the response of extreme weather for three levels of stabilized global warming and response to internal modes of climate variability

Deliverable 2.8 Assessing causal dependencies in climatic indices

Work Package 3

Deliverable 3.1 Report on application of multilayer networks to predict sub‐seasonal climate regime changes

Deliverable 3.2 Report on correlation between SSS and extreme precipitation events

Deliverable 3.3 Predictability of European precipitation and temperature from analogue SWG

Deliverable 3.4 Report on verification of the atmospheric flow features in sub-seasonal forecasts

Deliverable 3.5 Software to evaluate prediction of climate regime changes

Deliverable 3.7 Report on sources of predictability for flow features in subseasonal forecasts

Work Package 5 - TRAINING

1st CAFE School (Sitges / November 2019)

2nd CAFE School (Freiberg / March 2020)

Using social media to communicate about science (CAFE ESRs webinar, 28 April 2020)

1st CAFE Workshop (September 2020)

2nd CAFE Workshop (March-April 2021)

3rd CAFE Workshop (September 2021)

Work Package 5

Deliverable D 5.1 Supervising Guidelines

Deliverable D 5.2 Career Development Plans

Deliverable 5.5 Career Development Plans (CDPs) - Final Year

Deliverable 5.5 Report on double/joint doctorate degrees

Work Package 6

Deliverable D 6.1 Web-site and Social Network Profiles

Deliverable D 6.2 Communication Plan

Deliverable D 6.3 Marketing Materials: Brochure



Jenkinson - Collison automated gridded classification for Python

The automated Jenkinson & Collison classification for Python