STORM: An empirical storm-time ionospheric correction model 1. Model description
نویسندگان
چکیده
منابع مشابه
Image-model coupling: application to an ionospheric storm
Image-model coupling: application to an ionospheric storm N.D. Smith1,*, D. Pokhotelov2, C.N. Mitchell2, and C.J. Budd1 1Department of Mathematical Sciences, University of Bath, U.K., BA2 7AY 2Department of Electronic and Electrical Engineering, University of Bath, U.K., BA2 7AY *Completed while with the Department of Electronic and Electrical Engineering, University of Bath Correspondence to: ...
متن کاملThe Probabilistic Model Checker Storm (Extended Abstract)
Goals. Probabilistic model checking has matured immensely in the past decade [1,2,3,4]. Applications and uses go far beyond the standard algorithms and objectives. We therefore developed an extensible toolbox for probabilistic model checking that offers reusable modules to quickly implement new functionality. The rise of more and more specialized tools witnesses that a single tool is rarely sui...
متن کاملRegional model for design storm estimation
Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Several hydrological analyses need to be founded on a reliable estimate of the design storm, which is the expected rainfall depth corresponding to a given duration and probability of occurrence, usually expressed in terms of return period....
متن کاملNonlinear chaotic model for predicting storm surges
This paper addresses the use of the methods of nonlinear dynamics and chaos theory for building a predictive chaotic model from time series. The chaotic model predictions are made by the adaptive local models based on the dynamical neighbors found in the reconstructed phase space of the observables. We implemented the univariate and multivariate chaotic models with direct and multi-steps predic...
متن کاملSTORM: A Statistical Object Representation Model
For the last several years, a number of researchers have been interested in the various problems which arise when modelling aggregate-type data [1st SDBM], [2nd SDBM], [3rd SSDBM], [Rafanelli 89]. Since aggregate data is often derived by applying statistical aggregation (e.g. SUM, COUNT) and statistical analysis functions over micro-data [Wong 84] the aggregate data bases are also called "stati...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Radio Science
سال: 2002
ISSN: 0048-6604
DOI: 10.1029/2001rs002467