Abstract: The stochastic dynamic equations, as investigated in part I of this two-part study, can be applied to any time-dependent set of differential equations which are, at most, nonlinear quadratic. In this study, they are used ...

Abstract: In this, the first part of a two-part study, we examine the rationale of the stochastic dynamic approach to numerical weather prediction. Advantages of the stochastic dynamic method are discussed along with problems ...

Abstract: The practical limit of atmospheric predictability is a function of the uncertainties in the initial conditions, the uncertainties in the parameterization of the external forces, and the uncertainties involved with discretizing ...

Abstract: It is suggested that when one more properly views meteorological prediction as an initial value problem couched in random or stochastic terms, there is an additional way for the wind and the mass fields to adjust to a state ...

Abstract: A widely used relative humidity (RH) sensor in atmospheric science is based upon a capacitive device that outputs voltage as a linear function of RH and then is corrected by an empirically determined polynomial expression, ...

Abstract: The use of commercial aircraft for obtaining weather and climate change related information is beginning to accelerate at a rapid pace. A brief history of the use of commercial aircraft for these purposes is provided along ...

Abstract: low-order general circulation model contains all the elements of baroclinic instability, including differential heating to drive the mean zonal shear flow against dissipation. Simulations exhibit vacillation ending in ...

Abstract: Stochastic dynamic prediction provides information on the variances and covariances of the predicted meteorological fields as well as the expected values of the fields themselves. It is shown that this new information can ...