A prototype for convective margin shifts
نویسندگان
چکیده
[1] Regional precipitation anomalies under El Niño or global warming scenarios manifest considerable spatial variability, especially in the vicinity of tropical deep convective zones. Using a simplified set of equations, we develop an analytic prototype of convective margins for tropical land regions subject to inflow from adjacent ocean regions. The approach yields an expression for the location of the convective margin from which it is straightforward to deduce how climate perturbations impact the margin. We compare the results of the prototype to full model simulations of the equatorial South American precipitation response to El Niño forcing and find general agreement. Analysis of the observations supports the convective inflow margin prototype’s applicability to appropriately simple basic state configurations. Citation: Lintner, B. R., and J. D. Neelin (2007), A prototype for convective margin shifts, Geophys. Res. Lett., 34, L05812, doi:10.1029/2006GL027305.
منابع مشابه
Development of a prototype stereotactic collimation assembly for Neptun 10 PC linac
Background: A set of hardware stereotactic radiosurgery is designed and constructed. The scope of this article is to describe how we have designed and developed stereotactic collimation assembly for a 9 MV Neptun 10 PC linac. Materials and methods: One collimator holder and six collimators were made, with their radiation field diameter between 12.5 mm to 25 mm at isocenter level. Beam data, suc...
متن کاملConvective Wavelength Shifts in the Spectra of Late-type Stars
We present ultra-high resolution spectra for a set of nearby F-G-K stars on, or close to, the main sequence. The wavelength shifts of stellar lines relative to their laboratory wavelengths are measured for more than a thousand Fe i lines per star, finding a clear correlation with line depth. The observed patterns are interpreted as convective blue-shifts that become more prominent for weaker li...
متن کاملRegularized margin-based conditional log-likelihood loss for prototype learning
The classification performance of nearest prototype classifiers largely relies on the prototype learning algorithm. The minimum classification error (MCE) method and the soft nearest prototype classifier (SNPC) method are two important algorithms using misclassification loss. This paper proposes a new prototype learning algorithm based on the conditional log-likelihood loss (CLL), which is base...
متن کاملSe p 19 98 ? Effects of Large - Scale Convection on p - mode Frequencies
We describe an approach for finding the eigenfrequencies of solar acoustic modes (p modes) in a convective envelope in the WKB limit. This approximation restricts us to examining the effects of fluid motions which are large compared to the mode wavelength, but allows us to treat the three-dimensional mode as a localized ray. The method of adiabatic switching is then used to investigate the freq...
متن کاملPrototype Classification: Insights from Machine Learning
We shed light on the discrimination between patterns belonging to two different classes by casting this decoding problem into a generalized prototype framework. The discrimination process is then separated into two stages: a projection stage that reduces the dimensionality of the data by projecting it on a line and a threshold stage where the distributions of the projected patterns of both clas...
متن کامل