VHR-REA_IT Dataset: Very High Resolution Dynamical Downscaling of ERA5 Reanalysis over Italy by COSMO-CLM

Empirical Downscaling of High-Resolution Regional Precipitation From Large-Scale Reanalysis Fields

This study describes an EOF-based technique for statistical downscaling of high spatial resolution monthly mean precipitation from large scale reanalysis circulation fields. The method is demonstrated and evaluated for four widely-separated locations: the Southeast United States, the Upper Colorado River Basin, China’s Jiangxi Province, and Central Europe. For each location, the EOF-based downs...

The Geospatial and Temporal Distributions of Severe Thunderstorms from High-Resolution Dynamical Downscaling

Trends in severe thunderstorms and the associated phenomena of tornadoes, hail, and damagingwinds have been difficult to determine because of themany uncertainties in the historical eyewitness-report-based record. The authors demonstrate how a synthetic record that is based on high-resolution numerical modeling may be immune to these uncertainties. Specifically, a synthetic record is produced t...

Automatic characterization of sub-urban environments by using VHR X-band COSMO-SkyMed images

Downscaling of coarse-resolution radiometer brightness temperature by high-resolution radar backscatter

Given the importance of soil moisture for hydrological applications, such as weather and flood forecasting, passive microwave remote sensing is a promising approach for retrieving soil moisture due to its high sensitivity to near-surface soil moisture, applicability to all weather conditions, direct relationship with the soil dielectric constant, and reduced effects from vegetation and roughnes...

A comparative study of quantitative mapping methods for bias correction of ERA5 reanalysis precipitation data

This study evaluates the ability of different quantitative mapping (QM) methods as a bias correction technique for ERA5 reanalysis precipitation data. Climate type and geographical location can affect the performance of the bias correction method due to differences in precipitation characteristics. For this purpose, ERA5 reanalysis precipitation data for the years 1989-2019 for 10 selected syno...