The precipitation phase (i.e., rain and snow) is important for the global hydrologic cycle climate system. objective of this study to evaluate precipitation-phase partitioning capabilities remote sensing reanalysis modeling methods on scale. Specifically, observation data from National Centers Environmental Prediction (NCEP) Automated Data Processing (ADP), 2000 2007, are used rain–snow discrim...

After the release of ERA-Interim reanalysis, many changes have been made to Integrated Forecasting System model and data-assimilation system, resulting in an improved ERA5. One allows version ERA5 represent moisture sensitivity deep convection more realistically than ERA-Interim. A previous modeling study showed that this change alone representation tropical atmosphere, e.g. variability precipi...

Air temperature has been the most commonly used exposure metric in assessing relationships between thermal stress and mortality. Lack of high-quality meteorological station data necessary to adequately characterize environment one main limitations for use more complex indices. Global climate reanalyses may provide an ideal platform overcome this limitation define heat cold conditions anywhere w...

High wind speed (U) is one of the most dangerous natural hazards in North America and Europe. As a result, spatially explicit, statistical estimation extreme U particular relevance for many sectors. However, common sources data such as reanalysis situ measurements are limited this purpose due to their coarse spatial resolution low representativeness. Thus, main goal was develop high (250 m × 25...

Precipitation data are crucial for research on agricultural production, vegetation growth, and other topics related to environmental resources ecology. With an increasing number of multi-typed gridded precipitation products (PPs), it is important validate the applicability PPs improve their subsequent monitoring capabilities ensure accurate precipitation-based research. This study evaluates per...

Abstract Tropospheric delay is an important factor affecting high precision Global Navigation Satellite System (GNSS) positioning and also the basic data for GNSS atmospheric research. However, existing tropospheric models have some problems, such as only a single function used entire atmosphere. In this paper, ERA5-based (the fifth generation of European Centre Medium-Range Weather Forecasts R...

Abstract. Severe convective storms, in particular supercells, are occasionally responsible for a large number of property losses and damage Spain. This paper aims to study the synoptic configurations pre-convective environments dataset 262 supercells during 2011–2020 The events grouped into with hail (diameter larger than 5 cm) without results compared. ERA5 reanalysis is used proximity atmosph...