A daily weather generator for use in climate change studies

By Chris G. Kilsby, Peter G. Jones, A. Burton, A. Ford, Hayley J. Fowler, C. Harpham, P. James, A. Smith, Robert L. Wilby. Environmental Modelling & Software, 2007

532 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/729f9ef100205acb0f2675791839dbafa852c4dc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

In Water Science and Technology

Citations in the corpus

Daily spatiotemporal precipitation simulation using latent and transformed Gaussian processes (2012, methodology): “…precipitation generators is uncertainty quantification over a spatial domain, which is used, for example, in assessment of impacts of climate change [Kilsby et al., 2007; Mehrotra and Sharma, 2010]; see also Burton et al. [2008] for recent spatiotemporal precipitation simulation software.”
Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling (2007, methodology): “Kilsby et al. (2007b) describe a recent development of this approach, which improves the simulation of daily extreme values and variability due to the implementation of the thirdorder moment – or coefficient of skewness – within the NSRP model.”
The role of uncertainty in climate change adaptation strategies—A Danish water management example (2013, methodology): “Data from climate models are typically downscaled and statistically corrected (e.g. Wilby et al. 2002; Christensen et al. 2007b; Fowler et al. 2007; Kilsby et al. 2007) but different downscaling methods may give different input data, thus total errors can arise from both sources (e.g. Sunyer et al.…”
Modelling everything everywhere: a new approach to decision-making for water management under uncertainty (2012, background): “Spatial data sets are becoming more commonly available (including projections of future meteorological variables at the 5-km scale in U.K. Climate Predictions 2009 (UKCP09), see Kilsby et al., 2007).”