نتایج جستجو برای: precipitation network aphrodit
تعداد نتایج: 729031 فیلتر نتایج به سال:
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...
this study is a step toward identifying spatial and temporal patterns of precipitation on the territory of iraq. the purpose of this analysis, the data related to the network database aphrodite a 57 -year period (2007-1951), was used. the data matrix consists of three cell location, the original data (rainfall) and the calendar matrix .surfer was drawn up. also analyzed for the first time and t...
We describe a simulation methodology used to develop and validate precipitation retrieval algorithms for current and future passive microwave sounders with emphasis on the NPOESS (National Polar-orbiting Operational Environmental Satellite System) sensors. Precipitation algorithms are currently being developed for ATMS, MIS, and NAST-M. ATMS, like AMSU, will have channels near the oxygen bands ...
The term nowcasting reflects the need of timely and accurate predictions of risky situations related to the development of severe meteorological events. In this work the objective is the very short term prediction of the rainfall field from geostationary satellite imagery entirely based on neural network approach. The very short-time prediction (or nowcasting) process consists of two steps: fir...
The Global Network of Isotopes in Precipitation consisted of 153 active stations in 2001. As can be seen in the map above, active stations are classified as " IAEA " or " National Network " (NN). The " IAEA " stations are those where national institutes are performing the monthly sampling, compiling the meteorological parameters and shipping samples to the IAEA for isotope analyses. The " Natio...
The lack of sediment gauging stations in the process of wind erosion, caused of estimate of sediment be process of necessary and important. Artificial neural networks can be used as an efficient and effective of tool to estimate and simulate sediments. In this paper two model multi-layer perceptron neural networks and radial neural network was used to estimate the amount of sediment in Korsya o...
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