in recent decades artificial neural networks (anns) have shown great ability in modeling and forecasting non-linear and non-stationary time series and in most of the cases especially in prediction of phenomena have showed very good performance. this paper presents the application of artificial neural networks to predict drought in yazd meteorological station. in this research, different archite...

abstract in this research, four meteorological set of data including maximum temperature, minimum temperature, precipitation and radiation from echo-g, under a1scenario have been used for climate change detection over south khorasan. echo-g is a general circulation model that currently is used in hamburg university and korea meteorological research institute. in this research climate change ass...

The quantum metrological performance of spin coherent states superposition is considered, and conditions for measurements with the Heisenberg-limit (HL) precision are identified. It demonstrated that choice parameter-generating operator can lead to physically different estimation outcomes. In particular, closed-form analytical descriptions cat derived. These findings show routes careful control...

PRISM (Parameter-elevation Regressions on Independent Slopes Model) is a climate analysis system that uses point data, a digital elevation model (DEM), and other spatial datasets to generate gridded estimates of annual, monthly and event-based climatic parameters (Daly et al. 1994). Originally developed in 1991 for precipitation estimation, PRISM has been generalized and applied successfully to...

The Asian tiger mosquito, Aedes albopictus, is a highly invasive vector species. It is a proven vector of dengue and chikungunya viruses, with the potential to host a further 24 arboviruses. It has recently expanded its geographical range, threatening many countries in the Middle East, Mediterranean, Europe and North America. Here, we investigate the theoretical limitations of its range expansi...

there are several methods to increase crops yield, including use of high quality seeds. seed priming is a simple and low-cost method to increase seed quality, if be done right, will lead to increasing plant performance and yield. seed priming treatment applied before planting to enhance germination parameters, seedling establishment and etc. primed seeds get some physiological and biochemical c...

The distribution of cloud and precipitation properties across oceanic extratropical cyclone cold fronts is examined using four years of combinedCloudSat radar andCALIPSO lidar retrievals. The global annual mean cloud and precipitation distributions show that low-level clouds are ubiquitous in the postfrontal zone while higher-level cloud frequency and precipitation peak in the warm sector along...

Precipitation is a key environmental factor determining plant community structure and function. Knowledge of how community characteristics and leaf stoichiometric traits respond to variation in precipitation is crucial for assessing the effects of global changes on terrestrial ecosystems. In this study, we measured community characteristics, leaf stoichiometric traits, and soil properties along...

This paper focuses on the development of new approaches to observe transient phenomena in critical marine environments using autonomous vehicles (AMVs) for acquisition physical and biogeochemical parameters water seabed characterization. The connection with metrological principles, together adoption observing methodologies adjustable according specific environment being studied, allows research...