timokelder

Hydro-climatologist studying climate extremes (the UNSEEN approach)

Climate Adaptation Services (CAS)

Pinned Repositories

UNSEEN-open
An open, reproducible and transferable workflow to assess and anticipate climate extremes beyond the observed record
Language:R17 2 08
COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Language:HTML00
GYP035
Teaching materials for MSc course at Loughborough University
Language:Jupyter Notebook0 0 00
ml_flood
Machine learning to predict floods
Language:Jupyter Notebook01
prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Language:Python00
R_Python_binder_test
Language:Jupyter Notebook0 1 00
timokelder
Language:Shell10
UNSEEN
Language:R1 0 03
UNSEEN-open
Open, transferable and reproducible workflow for the UNSEEN method
Language:Jupyter Notebook2 2 00
UNSEEN-trends
Language:Jupyter Notebook2 3 02

timokelder's Repositories

timokelder/UNSEEN-open
Open, transferable and reproducible workflow for the UNSEEN method
Language:Jupyter Notebook2 2 00
timokelder/UNSEEN-trends
Language:Jupyter Notebook2 3 02
timokelder/timokelder
Language:Shell10
timokelder/UNSEEN
Language:R1 0 03
timokelder/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Language:HTML00
timokelder/GYP035
Teaching materials for MSc course at Loughborough University
Language:Jupyter Notebook0 0 00
timokelder/ml_flood
Machine learning to predict floods
Language:Jupyter Notebook01
timokelder/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Language:Python00
timokelder/R_Python_binder_test
Language:Jupyter Notebook0 1 00
timokelder/UNSEEN-open-1
An open, reproducible and transferable workflow to assess and anticipate climate extremes beyond the observed record