Filters: Tags: Atmospheric temperature (X)489 results (18ms)
In this project, we used an advanced statistical downscaling method that combines high-resolution observations with outputs from 16 different global climate models based on 4 future emission scenarios to generate the most comprehensive dataset of daily temperature and precipitation projections available for climate change impacts in the U.S. The gridded dataset covers the continental United States, southern Canada and northern Mexico at one-eighth degree resolution and Alaska at one-half degree resolution. The high-resolution projections produced by this work have been rigorously quality-controlled for both errors and biases in the global climate and statistical downscaling models. We also calculated projected future...
Seasonal evolution of total and gravity wave induced laminae in ozonesonde data in the tropics and subtropics
Pacific Northwest climate sensitivity simulated by a regional climate model driven by a GCM. Part I: Control simulations
Skill comparisons between neural networks and canonical correlation analysis in predicting the equatorial Pacific sea surface temperatures
Spatial interpolation of surface air temperatures using artificial neural networks: Evaluating their use for downscaling GCMs