Safe Sowing Windows for Smallholder Farmers in West Africa in the Context of Climate Variability

Phenophase-based comparison of field observations to satellite-based actual evaporation estimates of a natural woodland: miombo woodland, southern Africa

A stochastic MPC framework for the control of pumping stations in polder systems with regard for uncertainty in inflow and hourly electricity prices

The Role of Water Vapor Observations in Satellite Rainfall Detection Highlighted by a Deep Learning Approach

The uncertainty associated with the use of copulas in multivariate analysis

Optimal Sowing Windows under Rainfall Variability in Rainfed Agriculture in West Africa

Extreme precipitation return levels for multiple durations on a global scale

Closed-loop simulation testing of a probabilistic DR framework for Day Ahead Market participation applied to Battery Energy Storage Systems

A Bayesian model for quantifying errors in citizen science data: application to rainfall observations from Nepal

Historical Shifts in Seasonality and Timing of Extreme Precipitation

‘Commoning practices’ for energy justice? Perspectives on the heat transition in the city of Amsterdam

The Potential of Deep Learning for Satellite Rainfall Detection over Data-Scarce Regions, the West African Savanna

Integrated assessment of renewable urban heating systems considering water use, committed emissions and energy justice

Probabilistic forecasting and scenario generation of pumped discharge in polder systems

The relations between farmers’ land tenure security and agriculture production. An assessment in the perspective of smallholder farmers in Rwanda

Extrapolating continuous vegetation water content to understand sub-daily backscatter variations

The eWaterCycle platform for open and FAIR hydrological collaboration

Securing the Harvest for the Smallholder Farmer in Rwanda: Fragmented or Consolidated Farmland Use?

Day Ahead Market price scenario generation using a Combined Quantile Regression Deep Neural Network and a Non-parametric Bayesian Network: A framework for risk-based Demand Response

Reducing committed emissions of heating towards 2050: Analysis of scenarios for the insulation of buildings and the decarbonisation of electricity generation