Discover @h-cel Open Source projects

Hydro-Climate Extremes Lab – Ghent University (@h-cel)

h-cel

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ClimateVegetationDynamics_GrangerCausality

Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017

hamster

A Heat And MoiSture Tracking framEwoRk (HAMSTER) for the evaluation of Lagrangian models

hydro-climatic-biomes

a multi-task learning approach to discover the spatial relationships among different locations by learning a low-dimensional representation of predictive structures.

E2CI---Detecting-relations-between-modes-of-climate-variability-and-land-evaporation

Source code for: "Martens et al. 2018. Terrestrial evaporation response to modes of climate variability. npj Climate and Atmospheric Science"

ImpactofBiasNonstationarity

Code for 'Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods' (Van de Velde et al., available as preprint at https://doi.org/10.5194/hess-2020-639)

ConditionalSpectralGrangerCausality

Source code for Claessen et al. 2019: Global biosphere--climate interaction: a causal appraisal of observations and models over multiple temporal scales. Biogeosciences, 16, 4851-4874, https://doi.org/10.5194/bg-16-4851-2019.