In this study, a Takagi-Sugeno (TS) fuzzy rule-based (FRB) model is used for ensembling precipitation time series. The TS FRB takes predictions of grid-based regional climate models (RCMs) from the EUR11 domain, available CORDEX database, as inputs to generate ensembled series two meteorological stations (MSs) in Mediterranean region Turkey. For each MS, RCM data that are at closest grid corres...

The ability to predict severe ice storm events is an essential step to prevent or mitigate power grid outages caused by extreme wind and ice loads. We have shown previously that an Ice Accretion Forecasting System (IAFS) can predict severe ice storms several days in advance. However, identifying the storms’ maximum intensities and localizing their epicentres remain challenges to be addressed. I...

Merging satellite and rain gauge data by combining accurate quantitative rainfall from stations with spatial continuous information from remote sensing observations provides a practical method of estimating rainfall. However, generating high spatiotemporal rainfall fields for catchment-distributed hydrological modeling is a problem when only a sparse rain gauge network and coarse spatial resolu...

[1] The primary advantage of radar observations of precipitation compared with traditional rain gauge measurements is their high spatial and temporal resolution and large areal coverage. Unfortunately, radar data require vigorous quality control before being converted into precipitation products that can be used as input to hydrologic models. In this study we coupled a physically based atmosphe...

Currently, rainfall retrieval over ocean from passive microwave satellite observations represents the best compromise between estimation accuracy and spatial data coverage. Infrared data is available with higher temporal frequency from geostationary satellites but the link of top-of-the-atmosphere infrared emission to near-surface rainfall is very indirect. Therefore, all algorithms have to exp...

Ricardian (hedonic) analyses of the impact of climate change on farmland values typically assume additively separable effects of temperature and precipitation. Model estimation is implemented on data aggregated across counties or large regions. We investigate the potential bias induced by such approaches by using a large panel of farm-level data. Consistent with the literature on plant physiolo...

The Tropical Rainfall Measuring Mission (TRMM) is a Japan-US joint satellite mission which equips the world first spaceborne precipitation radar (PR) as well as microwave imager (TMI) and has been producing very valuable precipitation data more than twelve years. This long term precipitation record including vertical profile information from the TRMM PR made it possible to provide not only the ...