This paper uses the Hilbert–Huang transform (HHT) method to make time–frequency diagnostic analyses of four monthly time series of the global precipitation: MERG (1900– 2008), REOF (1900–2008), GPCP (1979–2009), and CMAP (1979–2009). All these data are the global land and ocean average of precipitation anomalies with respect to the mean of the entire data period. The MERG and REOF are spectral ...

High resolution information of climatic conditions is essential to many application in environmental sciences. Here we present the CHELSA algorithm to downscale temperature and precipitation estimates from the European Centre for Medium-Range Weather Forecast (ECMWF) climatic reanalysis interim (ERA-Interim) to a high resolution of 30 arc sec. The algorithm for temperature is based on a statist...

abstract one of the most variability of atmospheric parameter is precipitation, which changes seasonally. it is important to understand exact characteristic of rainfall seasonal variable. therefore, it is unavoidable to study rainfall season in hamedan province, because hameden is one of the important centers of agriculture in iran. in this research, the seasonal variability of rainfall is cons...

we aimed to analyze the range of motion (rom) and internal rotation (ir) and external rotation (er) isokinetic strength according to humeral retroversion of the dominant shoulder.we included 40 elite baseball players in korea (obp group: n=20 players with careers spanning >10 years, age: 19.37±2.21 years, height: 181.00±5.41 cm, weight: 84.58±7.85 kg; bbp group: n=20 players with careers spanni...

The following article deals with more than 20 years of historical wildland fire data from the Czech Republic, logged in databases operational centers Fire and Rescue Service Republic (FRS CR). First, definition term is introduced. After that, locations fires are discussed, point view their introduction into information systems. Next, as FRS CR organized on a regional basis, number analyzed regi...

Climate change is predicted to increase the frequency of droughts and intensity of seasonal precipitation in many regions. Semiaquatic mammals should be vulnerable to this increased variability in precipitation, especially in human-modified landscapes where dispersal to suitable habitat or temporary refugia may be limited. Using six years of presence-absence data (2007-2012) spanning years of r...

Climate extremes pose significant natural threats to socioeconomic activities. Accurate prediction of short-term climate (STC) can provide relevant departments with warnings effectively reduce this threat. To accurately predict STC in China, study utilizes machine learning algorithms, particularly the random forest (RF) model, evaluate role both and anthropogenic factors. Monthly temperature pr...

Malaria is among the greatest public health threats in Mozambique, with over 10 million cases reported annually since 2018. Although relationship between seasonal trends environmental parameters and malaria well established, role of climate deviations from annual cycle less clear. To investigate this potential for leveraging inter-annual variability to predict outbreaks, weekly district-level i...