Pinned Repositories
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).
vic1309's Repositories
vic1309/ai4ess-hackathon-2020
vic1309/concave_hull_area
## Estimate area from a Lagrangian particle tracking output using concave hull
vic1309/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.
vic1309/icepack
Finite element modeling of glaciers and ice sheets
vic1309/LagrangianParticles
Tools for calculating the statistics of Lagrangian Particles
vic1309/LinearModelSeaIceDrift
Codes for solving linear model of sea ice drift and to apply results for estimates from wind observations
vic1309/MachineOcean-WP12
Machine Ocean Work Package 1 and 2 toolbox and documentation
vic1309/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
vic1309/opendrift
Open source framework for ocean trajectory modelling
vic1309/pavlov_etal_2020
Repo containing supplementary material of Pavlov et. al (2020).
vic1309/pwp_python_00
vic1309/py-eddy-tracker
Eddy identification and tracking
vic1309/pycles
A python based infrastructure for cloud large eddy simulation.
vic1309/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.
vic1309/TBarrier
Methods to extract advective, diffusive, stochastic and active transport barriers from 2D and 3D data.
vic1309/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
vic1309/UiB-LaTeX-Template
UiB template for master thesis using subfiles
vic1309/wekeo-jupyter-lab
vic1309/wind_meas