h-cel
Research on global (surface) hydrology, climate, ecology & land-atmosphere interactions using earth observation datacubes, climate and hydrological models.
Ghent, Belgium
Pinned Repositories
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
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.
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"
floodOBIA
Object-based clustering approach for SAR-based flood mapping.
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.
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)
OccMeth
Code for 'Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling' (Van de Velde et al., 2021)
StochGen
Code for running and evaluating the stochastic weather generator of Van de Velde et al. (accepted for publication)
TerraFlood
Source code of the TerraFlood methodology for SAR-based flood monitoring
h-cel's Repositories
h-cel/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
h-cel/hamster
A Heat And MoiSture Tracking framEwoRk (HAMSTER) for the evaluation of Lagrangian models
h-cel/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.
h-cel/floodOBIA
Object-based clustering approach for SAR-based flood mapping.
h-cel/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.
h-cel/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"
h-cel/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)
h-cel/TerraFlood
Source code of the TerraFlood methodology for SAR-based flood monitoring
h-cel/OccMeth
Code for 'Exploring the Effect of Occurrence-Bias-Adjustment Assumptions on Hydrological Impact Modeling' (Van de Velde et al., 2021)
h-cel/StochGen
Code for running and evaluating the stochastic weather generator of Van de Velde et al. (accepted for publication)