Hydrologic extremes – an intercomparison of multiple gridded statistical downscaling methods

Pcic’s Downscaling Intercomparison Project Evaluated the Ability of Different Statistical Downscaling Methods to Reproduce Historical Climate Extremes and Compared Their Projections of Future Climate Extremes the Two Main Downscaling Methods Used by Pcic Showed the Best Performance

Utility of daily vs. monthly large-scale climate data: an intercomparison of two statistical downscaling methods

Downscaling of climate model data is essential to local and regional impact analysis. We compare two methods of statistical downscaling to produce continuous, gridded time series of precipitation and surface air temperature at a 1/8-degree (approximately 140 km2 per grid cell) resolution over the western U.S. We use NCEP/NCAR Reanalysis data from 1950–1999 as a surrogate General Circulation Mod...

Downscaling Extremes: a Comparison of Extreme Value Distributions in Point-source and Gridded Precipitation Data By

There is substantial empirical and climatological evidence that precipitation extremes have become more extreme during the twentieth century, and that this trend is likely to continue as global warming becomes more intense. However, understanding these issues is limited by a fundamental issue of spatial scaling: most evidence of past trends comes from rain gauge data, whereas trends into the fu...

Regional Frequency Analysis Methods for Evaluating Changes in Hydrologic Extremes

A common assumption in frequency analysis is that hydrologic extremes ( oods or heavy precipitation) are generated by a random process. This implies that natural climatic variability does not change the distribution of extreme events. A regional frequency analysis approach is proposed to test the hypothesis of randomness over secular time scales. Observed regional occurrences of extreme events ...

Statistical downscaling of precipitation

Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Global Circulation Models (GCMs) are a major tool used for future projections of climate change using different emission scenarios. However, for assessing the hydrological impacts of climate change at the watershed and the regional scale, ...