scispace - formally typeset
Journal ArticleDOI

The Use of Linear Filtering as a Parameterization of Atmospheric Diffusion

Ralph Shapiro
- 01 May 1971 - 
- Vol. 28, Iss: 4, pp 523-531
Reads0
Chats0
TLDR
In this article, a simple linear filter of order n is adapted for use in numerical models of the large-scale circulation to act in place of an explicit horizontal diffusion term in the equations.
Abstract
A simple linear filter is adapted for use in numerical models of the large-scale circulation to act in place of an explicit horizontal diffusion term in the equations. The filter can be shown to be ideally suited for this purpose in the sense that it can be made increasingly scale-dependent as the order of the filter is increased. The one-dimensional filter of order n is constructed from n three-point symmetrical operators and involves 2n/1 grid points. It is capable of eliminating two-grid-interval waves completely, yet allowing little or no damping of longer waves. In one space dimension, the use of the n = 1 order filter can be shown to be equivalent to the incorporation of a one-dimensional Fickian diffusion term in the differential equation. For any order n, the use of the one-dimensional filter is equivalent to the incorporation of a one-dimensional linear diffusion of order 2n. It is therefore apparent that as n increases, the ability of the filter to discriminate in its response to short-...

read more

Citations
More filters
Journal ArticleDOI

A new globally complete monthly historical gridded mean sea level pressure dataset (HadSLP2): 1850-2004

TL;DR: HadSLP2 as mentioned in this paper is an upgraded version of the Hadley Centre's monthly historical mean sea level pressure (MSLP) dataset (HadSLp2) which covers the period from 1850 to date, and is based on numerous terrestrial and marine data compilations.
Journal ArticleDOI

Reduced space optimal analysis for historical data sets: 136 years of Atlantic sea surface temperatures

TL;DR: In this article, a computationally efficient method for analyzing meteorological and oceanographic historical data sets has been developed, which combines data reduction and least squares optimal estimation, and provides theoretical error estimates for analyzed values.
Journal ArticleDOI

Reduced Space Optimal Interpolation of Historical Marine Sea Level Pressure: 1854–1992*

TL;DR: In this article, a near-global 4 83 48 gridded analysis of marine sea level pressure (SLP) from the Comprehensive Ocean- Atmosphere Data Set for monthly averages from 1854 to 1992 was produced along with its estimated error using a reduced space optimal interpolation method.
Journal ArticleDOI

Atmospheric circulation of tidally locked exoplanets: a suite of benchmark tests for dynamical solvers

TL;DR: In this article, the authors compare the Held-Suarez test with the Geophysical Fluid Dynamics Laboratory (GFDL) Princeton Flexible Modelling System (fms) for comparing dynamical core simulations of the Earth's atmosphere with different solvers, based on statistically averaged flow quantities.
Journal ArticleDOI

Data Assimilation via Error Subspace Statistical Estimation.

TL;DR: In this article, identical twin experiments were used to assess and exemplify the capabilities of error subspace statistical estimation (ESSE) and compared with an optimal interpolation (OI) scheme.