A5003990378- Climate variability and models
- Meteorological Phenomena and Simulations
- Climate change impacts on agriculture
- Climate change and permafrost
- Plant Ecology and Soil Science
- Cryospheric studies and observations
- Urban Planning and Valuation
- Precipitation Measurement and Analysis
- Plant Water Relations and Carbon Dynamics
- Crop Yield and Soil Fertility
- Greenhouse Technology and Climate Control
- Atmospheric chemistry and aerosols
- Sustainability and Ecological Systems Analysis
- Soil Carbon and Nitrogen Dynamics
- Marine and environmental studies
- Water resources management and optimization
- Air Quality and Health Impacts
- Environmental Impact and Sustainability
- Ecosystem dynamics and resilience
- Sustainable Development and Environmental Policy
- Plant responses to elevated CO2
- Historical and Environmental Studies
- Regional Development and Management Studies
- Mining and Gasification Technologies
- Bioenergy crop production and management
Agenzia Regionale Prevenzione e Ambiente della Regione Emilia-Romagna
2015-2021
Advanced Research Projects Agency - Energy
2006-2014
National Institute of Hydrology and Water Management
2002
A daily high-resolution gridded climatic data set is presented for Emilia-Romagna, Italy, covering the period 1961–2010. Time series of precipitation and temperatures, from 254 60 locations, respectively, were first checked quality, temporal homogeneity synchronicity, then interpolated on a grid. For temperature, best-performing detrending procedure was used, followed by interpolation regression residuals means modified inverse distance scheme, accounting orographic barriers. Elevation,...
Abstract Optimum statistical downscaling models for three winter precipitation indices in the Emilia‐Romagna region, especially related to extreme events, were investigated. For this purpose, referring number of events exceeding long‐term 90 percentile rainy days, simple daily intensity and maximum consecutive dry days calculated as spatial averages over homogeneous sub‐regions identified by cluster analysis. The model (SDM) based on canonical correlation analysis (CCA) was used procedure....
Abstract Daily precipitation data from a dense observational network covering Emilia‐Romagna, region of Northern Italy, are described and analysed. Data available for all stations the period 1951–2004 selected group located over Reno hydrological basin 1925–2004. Indices describing seasonal values mean frequency extreme events computed starting daily used to describe temporal spatial variability region. referring trends relevant indices same in seasons, relation between these major...
Abstract This paper investigates the temporal and spatial variability of seasonal mean maximum air temperature in Romania its links with large–scale atmospheric circulation. The Romanian data sets are represented by time series at 14 stations. large‐scale parameters observed sea‐level pressure (SLP) geopotential height 500 hPa (Z500). period analysed was 1922–98 for winter 1960–98 all seasons. Before analysis, original were tested to detect inhomogeneity using standard normal homogeneity...
Temporal and spatial variability of temperature in Emilia-Romagna is described using daily maximum minimum at 40 stations covering the period 1958 to 2000. Before use, data were quality controlled tested for inhomogeneity standard techniques. First, a description climatological values their temporal given. Then, frequency extreme events 4 indices: 10th percentile temperature, 90th number frost days heat wave duration. These indices are based on computed all seasons. For each season index,...
Abstract The continuous increase of atmospheric CO 2 content mainly due to anthropogenic emissions is causing a rise in temperature on earth, altering the hydrological and meteorological processes affecting crop physiology. Evapotranspiration an important component cycle. Thus, understanding change evapotranspiration global warming essential for better water resources planning management agricultural production. In this study, effect climate with focus combined elevated concentrations...