منابع مشابه
Finding Structures in Weather Maps
We describe an eeective computational method for extracting structural information from spatial data sets. For instance, the structural information such as the location, shape, size, and movement about pressure cells and troughs are important for weather prediction. We are interested in extracting these structures and representing them at aggregate levels where salient geometric features are hi...
متن کاملHibernation and daily torpor in Australian mammals
Australia is the continent with the taxonomically most diverse mammal fauna. The approximately 300 species of Australian terrestrial mammals belong to the three extant mammalian subclasses the Monotremata (Prototheria egg-laying mammals, 2 species), Marsupialia (Metatheria pouched mammals, ~160 species), and Placentalia (Eutheria placental mammals, bats ~76 species, rodents ~65 species) (Menkho...
متن کاملWillingness to Pay for Weather Derivatives by Australian Wheat Farmers
A theoretical optimal hedging model is developed to determine potential demand from Australian farmers for a hedging tool to remove the economic consequences of climate related variability in wheat yield. In the past, financial instruments have been developed to hedge price risk on capital markets; however, in more recent times new financial instruments, weather derivatives, have been developin...
متن کاملA daily weather generator for use in climate change studies
This paper describes the development of a weather generator for use in climate impact assessments of agricultural and water system management. The generator produces internally consistent series of meteorological variables including: rainfall, temperature, humidity, wind, sunshine, as well as derivation of potential evapotranspiration. The system produces series at a daily time resolution, usin...
متن کاملThe effects of weather on daily mood: a multilevel approach.
The present study examines the effects of six weather parameters (temperature, wind power, sunlight, precipitation, air pressure, and photoperiod) on mood (positive affect, negative affect, and tiredness). Data were gathered from an online diary study (N = 1,233), linked to weather station data, and analyzed by means of multilevel analysis. Multivariate and univariate analyses enabled distincti...
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ژورنال
عنوان ژورنال: Science
سال: 1906
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.23.578.153-a