Abstract: Networks of near-surface climate stations often produce samples of air temperature that are spatially uneven and sparse. Spatial samples of air temperature, as a result, affect both the regional depiction of air temperature ...

Abstract: Gridding of daily precipitation data alleviates many of the limitations of data that are derived from point observations, such as problems associated with missing data and the lack of spatial coverage. As a result, gridded ...

Abstract: A new and efficient method for identifying ?rogue? air temperature stations?locations with unusually large air temperature trends?is presented. Instrumentation problems and spatially unrepresentative local climates are ...

Abstract: lobal climate models (GCMs) have biases when simulating historical climate conditions, which in turn have implications for estimating the hydrological impacts of climate change. This study examines the differences in ...