找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Data Assimilation; Making Sense of Obse William Lahoz,Boris Khattatov,Richard Menard Book 2010 Springer-Verlag Berlin Heidelberg 2010 Atmos

[復(fù)制鏈接]
樓主: Disperse
21#
發(fā)表于 2025-3-25 05:44:11 | 只看該作者
Ensemble Kalman Filter: Current Status and Potential 4D-Var (four-dimensional variational assimilation) can be adapted to the LETKF without requiring an adjoint model. Although the Ensemble Kalman filter is less mature than 4D-Var (Kalnay 2003), its simplicity and its competitive performance with respect to 4D-Var suggest that it may become the method of choice.
22#
發(fā)表于 2025-3-25 07:56:16 | 只看該作者
Error Statistics in Data Assimilation: Estimation and Modellingcterized by covariance matrices for the error in the background state and the observations. These covariance matrices determine the level of influence each observation has on the analysis and how this influence is distributed spatially, temporally and among the different types of analysis variables.
23#
發(fā)表于 2025-3-25 14:44:00 | 只看該作者
Initialization features than those of direct concern. For many purposes these higher frequency components can be regarded as . contaminating the motions of meteorological interest. The elimination of this noise is achieved by adjustment of the initial fields, a process called ..
24#
發(fā)表于 2025-3-25 16:13:57 | 只看該作者
Cleaner Combustion and Sustainable Worldn lead to significant differences between the predicted states and the actual states of the system. In this case, observations of the system over time can be incorporated into the model equations to derive “improved” estimates of the states and also to provide information about the “uncertainty” in the estimates.
25#
發(fā)表于 2025-3-25 20:10:44 | 只看該作者
26#
發(fā)表于 2025-3-26 03:48:17 | 只看該作者
27#
發(fā)表于 2025-3-26 06:39:26 | 只看該作者
28#
發(fā)表于 2025-3-26 08:59:31 | 只看該作者
29#
發(fā)表于 2025-3-26 13:58:30 | 只看該作者
Beyond Japan: Cleaning, American-Stylecterized by covariance matrices for the error in the background state and the observations. These covariance matrices determine the level of influence each observation has on the analysis and how this influence is distributed spatially, temporally and among the different types of analysis variables.
30#
發(fā)表于 2025-3-26 18:06:18 | 只看該作者
Blogging from the New Front Lines features than those of direct concern. For many purposes these higher frequency components can be regarded as . contaminating the motions of meteorological interest. The elimination of this noise is achieved by adjustment of the initial fields, a process called ..
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-18 07:38
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
滨海县| 延寿县| 奉节县| 前郭尔| 湖北省| 陇南市| 黄山市| 永川市| 宜良县| 新竹县| 会东县| 屏南县| 玛纳斯县| 西宁市| 楚雄市| 惠来县| 来安县| 海晏县| 菏泽市| 二手房| 祁连县| 灵丘县| 延长县| 巨野县| 土默特左旗| 苏尼特右旗| 广元市| 霍州市| 芒康县| 葫芦岛市| 中西区| 隆化县| 新蔡县| 凌源市| 长乐市| 乡城县| 隆尧县| 丹棱县| 肥乡县| 克山县| 无锡市|