A hybrid multivariate Normal and lognormal distribution for data assimilation

被引：42

作者：

Fletcher, Steven J. ^{[1
]}

Zupanski, Milija ^{[1
]}

机构：

[1] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA

来源：

ATMOSPHERIC SCIENCE LETTERS | 2006年 / 7卷 / 02期

基金：

美国国家科学基金会;

关键词：

data assimilation; probability; non-Normal; lognormal;

D O I：

10.1002/asl.128

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

In this article, we define and prove a distribution, which is a combination of a multivariate Normal and lognormal distribution. From this distribution, we apply a Bayesian probability framework to derive a non-linear cost function similar to the one that is in current variational data assimilation (DA) applications. Copyright (C) 2006 Royal Meteorological Society

引用

页码：43 / 46

页数：4

共 32 条

[1]

Axelsson O., 1984, Finite Element Solution of Boundary Value Problems: Theory and Computation

[2]

Bishop CH, 2001, MON WEATHER REV, V129, P420, DOI 10.1175/1520-0493(2001)129<0420:ASWTET>2.0.CO

[3]

[4] An introduction to estimation theory [J].

Cohn, SE .

JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 1997, 75 (1B) :257-288

[5]

Daley R., 1996, ATMOSPHERIC DATA ANA

[6]

Deblonde G, 2003, J APPL METEOROL, V42, P1406, DOI 10.1175/1520-0450(2003)042<1406:OVRFSO>2.0.CO

[7]

[8]

English SJ, 1999, J APPL METEOROL, V38, P1526, DOI 10.1175/1520-0450(1999)038<1526:EOTAHP>2.0.CO

[9]

[10] SEQUENTIAL DATA ASSIMILATION WITH A NONLINEAR QUASI-GEOSTROPHIC MODEL USING MONTE-CARLO METHODS TO FORECAST ERROR STATISTICS [J].

EVENSEN, G .

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1994, 99 (C5) :10143-10162

← 1 2 3 4 →