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View article: CAVA: a user-driven climate service for the assessment of risks in the agriculture sector
CAVA: a user-driven climate service for the assessment of risks in the agriculture sector Open
 Climate change impacts agricultural production globally, affecting food security and economic development at all scales. The Climate and Agriculture risk Visualization and Assessment (CAVA) framework has been co-designed by the Unive…
View article: Climadjust: easing the Bias Adjustment process through a user-friendly web service
Climadjust: easing the Bias Adjustment process through a user-friendly web service Open
<p>Climate projections obtained from global and regional climate models usually exhibit biases: systematic deviations from observations. Adjusting these biases is typically the first step towards obtaining actionable climate informat…
View article: SantanderMetGroup/downscaleR: climate4R.datasets
SantanderMetGroup/downscaleR: climate4R.datasets Open
v3.3.0 (23 May 2020) Update examples and other minor updates to include the new datasets from climate4R.datasets
View article: SantanderMetGroup/downscaleR: submission downscaleR EMS paper
SantanderMetGroup/downscaleR: submission downscaleR EMS paper Open
New in v3.1.0 New downscaleChunk function, to handle large experiments by chunks downscale.cv renamed --> downscaleCV downscale.train renamed --> downscaleTrain downscale.predict renamed --> downscalePredict Other minor changes and documen…
View article: SantanderMetGroup/downscaleR v3.0.5
SantanderMetGroup/downscaleR v3.0.5 Open
An R package for climate data bias correction and downscaling (part of the climate4R bundle)
View article: SantanderMetGroup/downscaleR v2.0.4
SantanderMetGroup/downscaleR v2.0.4 Open
New in v2.0.4 Attributes of downscaling methods are now global, instead of being stored within the Data element Other documentation updates and enhancements