Satellite-based precipitation data have contributed greatly to quantitatively forecasting precipitation, and provides a potential alternative source for precipitation data allowing researchers to better understand patterns of precipitation over ungauged basins. However, the absence of calibration satellite data creates considerable uncertainties for The Tropical Rainfall Measuring Mission (TRMM...

nowadays, undoubted access to up to date with high spatial resolution and low temporal resolution of meteorological parameters is a one of the necessary needs for meteorological science researches. in order to doing this research have been used the different daily, monthly and yearly iran precipitation from global and regional data base of gpcpøŒ gpccøŒ aphrodit v101 0.25øŒ aphrodit v101 0.5 ùˆ...

The spatial and temporal variability of precipitation time series were investigated for the Hexi Corridor, in Northwest China, by analyzing the entropy information. The examinations were performed on monthly, seasonal, and annual timescales based on 29 meteorological stations for the period of 1961–2015. The apportionment entropy and intensity entropy were used to analyze the regional precipita...

BACKGROUND Rotavirus infection causes a significant proportion of diarrhea in infants and young children worldwide leading to dehydration, hospitalization, and in some cases death. Rotavirus infection represents a significant burden of disease in developing countries, such as those in South Asia. METHODS We conducted a meta-analysis to examine how patterns of rotavirus infection relate to tem...

BACKGROUND Knowledge of seasonal trends in hospital-associated infection incidence may improve surveillance and help guide the design and evaluation of infection prevention interventions. We estimated seasonal variation in the frequencies of inpatient bloodstream infections (BSIs) caused by common bacterial pathogens and examined associations of monthly BSI frequencies with ambient outdoor temp...

introduction temporal and spatial change of meteorological and environmental variables is very important. these changes can be predicted by numerical prediction models over time and in different locations and can be provided as spatial zoning maps with interpolation methods such as geostatistics (16, 6). but these maps are comparable to each other as visual, qualitative and univariate for a lim...

Regional assessments are critical to evaluate resources at risk from disturbances, such as acidic deposition, which occur in large spatial extent. It is imperative to accurately quantify atmospheric deposition to the regions like the Adirondack Mountains of New York where soils and surface waters are highly sensitive to inputs of strong acids. Spatial patterns in precipitation quantity and conc...

Precipitation data are important for the fields of hydrology and meteorology, and are fundamental for ecosystem monitoring and climate change research. Satellite-based precipitation products are already able to provide high temporal resolution precipitation information at a global level. However, the coarse spatial resolution has restricted their use in regional level studies. In this study, mo...

Abstract The skill of precipitation forecasts from global prediction systems has a strong regional and seasonal dependence. Quantifying the models for different regions timescales is important, not only to improve forecast skill, but enhance effective uptake information. sub-seasonal (S2S) database contains near real-time re-forecasts 11 operational centres provides great opportunity evaluate c...

This study presents a comprehensive assessment of the variability and trends of the precipitation and temperature along with the trends in drought indices over the State of California. The non-parametric Mann–Kendall trend test is applied with a trend-free pre-whitening procedure in trend identification. A dataset containing 120-year (water years 1896–2015) monthly precipitation, average temper...