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ai4ess-hackathon-2020

concave_hull_area

## Estimate area from a Lagrangian particle tracking output using concave hull

global-temperature-time-series

The Berkeley Earth Surface Temperature Study combines 1.6 billion temperature reports from 16 pre-existing archives. It is nicely packaged and allows for slicing into interesting subsets (for example by country). Time series analysis is performed on this dataset.

icepack

Finite element modeling of glaciers and ice sheets

lagrangianparticles

Tools for calculating the statistics of Lagrangian Particles

linearmodelseaicedrift

Codes for solving linear model of sea ice drift and to apply results for estimates from wind observations

machineocean-wp12

Machine Ocean Work Package 1 and 2 toolbox and documentation

ml-ensembles-methods

The goal of ensemble methods is to combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator

opendrift

Open source framework for ocean trajectory modelling

pavlov_etal_2020

Repo containing supplementary material of Pavlov et. al (2020).

pwp_python_00

py-eddy-tracker

Eddy identification and tracking

pycles

A python based infrastructure for cloud large eddy simulation.

python-practical-application-on-climate-variability-studies

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.

tbarrier

Methods to extract advective, diffusive, stochastic and active transport barriers from 2D and 3D data.

tensorflow-tutorials

TensorFlow Tutorials with YouTube Videos

tg_files

Bachelor's Degree files

uib-latex-template

UiB template for master thesis using subfiles

wekeo-jupyter-lab

wind_meas