The Terra-correlator: A computing facility for massive real-time data assimilation in environmental science
Terra-correlator:环境科学中用于大规模实时数据同化的计算设施
基本信息
- 批准号:NE/L012979/1
- 负责人:
- 金额:$ 37.93万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2013
- 资助国家:英国
- 起止时间:2013 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1. Seismic interferometry: Seismologists have traditionally explored the Earth by measuring, analysing and modelling signals generated naturally by earthquakes, or deliberately by man-made sources. Since 2003, several authors derived new methods based on cross-correlation of seismograms that allowed similar information to be obtained in the absence of impulsive events - from the Earth's ambient fluctuations, previously regarded as noise. Current global data sets can be used to produce Earth impulse responses of ~20kB size every two hours, or up to 2TB of output data per day, the bulk of this providing completely new information. This will be done on node 1. The output will then be data-mined continuously and in parallel to extract near-real time information about subsurface changes for forecasting purposes. This requires additional near-real time correlations in time-lapse mode, pattern matching, and other methods of analysis and modelling to be applied on a separate node (node 2), tied to a portal that will ensure such analysis and any forecasts of future behaviour or events (say a volcanic eruption following a seismic velocity change) is verifiably done in advance of the real event time, removing at a stroke perennial problems with retrospective selection bias when analysing forecast quality based on past data.2. Earth system science: (a) A recurring challenge is to analyse direct Earth observation, satellite and model data with data- and compute-intensive processing for uncertainty analyses and parameter-space exploration. The new facility will be used to produce estimates of carbon stocks and fluxes with confidence intervals over the period 2000-2013. Ultimately our UK runs at 1 km2 may be used to generate near-real time analyses of GHG emissions that are likely to be useful for policy makers. The information content of planned EO missions, such as ESA's BIOMASS mission, will also be explored in observing system simulation experiments. ( b) Many of our typical current analyses of the performance of climate models in comparison with the outcome are constrained by reading in data multiple times, due to lack of memory. We will analyse NOAA data to find extreme events at much higher resolution than before of 25km globally, to research the mechanisms and characteristic signatures of extreme precipitation events. 3. High-resolution real time monitoring of deformation and fluid flow in porous rocks: X-ray C-T (computer-tomography) imaging is computationally intensive in a range of applications, but a very large amount of post-processing is required by the operator to tune the resulting image, notably to separate pore space from the solid phase. Time-lapse measurements open up the possibility of tracking fluid flow in fractures or pores, or observing deformation at unprecedented resolution by tracking (cross-correlating) particle movements. Accordingly the infrastructure overhead used in the first two applications will be used to make such analysis possible in a 'live' experiment, in support of on-going experimental and modelling work in rock physics, initially focussed on carbonates.
1. 地震干涉测量:地震学家传统上通过测量、分析和建模地震自然产生的信号或人为源产生的信号来探索地球。自 2003 年以来,几位作者基于地震图的互相关推导了新方法,允许在没有脉冲事件的情况下获得类似的信息 - 来自地球的环境波动,以前被视为噪声。当前的全球数据集可用于产生每两小时约 20kB 大小的地球脉冲响应,或每天高达 2TB 的输出数据,其中大部分提供全新信息。这将在节点 1 上完成。然后将连续并行地对输出进行数据挖掘,以提取有关地下变化的近实时信息以用于预测目的。这需要在延时模式、模式匹配和其他分析和建模方法中进行额外的近实时相关性,应用于单独的节点(节点 2),绑定到门户,以确保此类分析和对未来行为或事件(例如地震速度变化后的火山喷发)的任何预测在真实事件时间之前可验证,从而通过回顾性选择一次性消除常年存在的问题 根据过去的数据分析预测质量时存在偏差。2.地球系统科学: (a) 一个反复出现的挑战是通过数据和计算密集型处理来分析直接地球观测、卫星和模型数据,以进行不确定性分析和参数空间探索。新设施将用于对 2000-2013 年期间的碳储量和通量进行置信区间估算。最终,我们英国的 1 平方公里运行可用于生成温室气体排放的近实时分析,这可能对政策制定者有用。计划中的 EO 任务(例如 ESA 的 BIOMASS 任务)的信息内容也将在观测系统模拟实验中进行探索。 (b) 由于缺乏记忆,我们目前对气候模型性能与结果进行比较的许多典型分析都受到多次读取数据的限制。我们将分析NOAA数据,以比以前更高的全球25公里分辨率发现极端事件,研究极端降水事件的机制和特征。 3. 多孔岩石变形和流体流动的高分辨率实时监测:X射线C-T(计算机断层扫描)成像在一系列应用中计算量很大,但操作员需要进行大量的后处理来调整所得图像,特别是将孔隙空间与固相分离。延时测量开启了跟踪裂缝或孔隙中的流体流动,或通过跟踪(交叉关联)颗粒运动以前所未有的分辨率观察变形的可能性。因此,前两个应用程序中使用的基础设施开销将用于在“现场”实验中进行此类分析,以支持岩石物理学中正在进行的实验和建模工作,最初侧重于碳酸盐。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
dispel4py: An Agile Framework for Data-Intensive eScience
dispel4py:数据密集型电子科学的敏捷框架
- DOI:10.1109/escience.2015.40
- 发表时间:2015
- 期刊:
- 影响因子:0
- 作者:Filgueira R
- 通讯作者:Filgueira R
Using Statistical Models and Machine Learning Techniques to Process Big Data from the Forth Road Bridge
使用统计模型和机器学习技术处理第四路大桥的大数据
- DOI:10.1680/icsic.64669.411
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Xu D
- 通讯作者:Xu D
dispel4py : A Python framework for data-intensive scientific computing
dispel4py:用于数据密集型科学计算的 Python 框架
- DOI:10.1177/1094342016649766
- 发表时间:2016
- 期刊:
- 影响因子:0
- 作者:Filguiera R
- 通讯作者:Filguiera R
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Ian Main其他文献
A hand on the aftershock trigger
一只手放在余震触发器上
- DOI:
10.1038/441704a - 发表时间:
2006-06-07 - 期刊:
- 影响因子:48.500
- 作者:
Ian Main - 通讯作者:
Ian Main
Long‐range, critical‐point dynamics in oil field flow rate data
油田流量数据的远程临界点动态
- DOI:
10.1029/2006gl027357 - 发表时间:
2006 - 期刊:
- 影响因子:5.2
- 作者:
Ian Main;Ling Li;K. Heffer;O. Papasouliotis;T. Leonard - 通讯作者:
T. Leonard
On the origin of power-law rheology during the evolution of damage
损伤演化过程中幂律流变学的起源
- DOI:
- 发表时间:
2010 - 期刊:
- 影响因子:0
- 作者:
Yusuke Kawada;Mark Naylor;Sarah Touati;Ian Main - 通讯作者:
Ian Main
Statistical Modeling of the 1997–1998 Colfiorito Earthquake Sequence: Locating a Stationary Solution within Parameter Uncertainty
1997-1998 Colfiorito 地震序列的统计建模:在参数不确定性内定位稳态解
- DOI:
10.1785/0120130270 - 发表时间:
2014 - 期刊:
- 影响因子:3
- 作者:
S. Touati;M. Naylor;Ian Main - 通讯作者:
Ian Main
Ian Main的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Ian Main', 18)}}的其他基金
Catastrophic Failure: what controls precursory damage localisation in rocks?
灾难性破坏:什么控制着岩石中的先兆损伤定位?
- 批准号:
NE/R001693/1 - 财政年份:2017
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
Probability and Uncertainty in Risk Estimation and Communication
风险评估和沟通中的概率和不确定性
- 批准号:
NE/N012356/1 - 财政年份:2016
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
Hydrocarbon reservoir analytics using high-frequency pressure data
使用高频压力数据进行碳氢化合物储层分析
- 批准号:
NE/L008386/1 - 财政年份:2014
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
Active reservoir management for improved hydrocarbon recovery
积极的油藏管理可提高碳氢化合物采收率
- 批准号:
NE/J006483/1 - 财政年份:2012
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
Probability, Uncertainty and Risk in the Natural Environment
自然环境中的概率、不确定性和风险
- 批准号:
NE/J016438/1 - 财政年份:2012
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
Localizing signatures of catastrophic failure (LOCAT)
本地化灾难性故障的特征 (LOCAT)
- 批准号:
EP/I018492/1 - 财政年份:2011
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
Active reservoir management for improved hydrocarbon recovery
积极的油藏管理可提高碳氢化合物采收率
- 批准号:
NE/I029846/1 - 财政年份:2011
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
Hazard forecasting in real time: from controlled laboratory tests to volcanoes and earthquakes
实时灾害预测:从受控实验室测试到火山和地震
- 批准号:
NE/H02297X/1 - 财政年份:2011
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
Time-dependent deformation: bridging the strain rate gap in brittle rocks.
随时间变化的变形:弥合脆性岩石中的应变率差距。
- 批准号:
NE/G019061/1 - 财政年份:2009
- 资助金额:
$ 37.93万 - 项目类别:
Research Grant
相似海外基金
FET: Small: Collaborative Research: A Probability Correlator for All-Magnetic Probabilistic Computing: Theory and Experiment
FET:小型:协作研究:全磁概率计算的概率相关器:理论与实验
- 批准号:
2006753 - 财政年份:2020
- 资助金额:
$ 37.93万 - 项目类别:
Standard Grant
FET: Small: Collaborative Research: A Probability Correlator for All-Magnetic Probabilistic Computing: Theory and Experiment
FET:小型:协作研究:全磁概率计算的概率相关器:理论与实验
- 批准号:
2006843 - 财政年份:2020
- 资助金额:
$ 37.93万 - 项目类别:
Standard Grant
First Deployment of a Novel Imaging Correlator for Radio Astronomy with the Long Wavelength Array
首次部署用于射电天文学的长波长阵列新型成像相关器
- 批准号:
1710719 - 财政年份:2017
- 资助金额:
$ 37.93万 - 项目类别:
Standard Grant
First Deployment of a Novel Imaging Correlator for Radio Astronomy with the Long Wavelength Array
首次部署用于射电天文学的长波长阵列新型成像相关器
- 批准号:
1711164 - 财政年份:2017
- 资助金额:
$ 37.93万 - 项目类别:
Standard Grant
Write a software correlator using assembly within a Reduced Instruction Set Computing (RISC) platfor
在精简指令集计算 (RISC) 平台中使用汇编编写软件相关器
- 批准号:
512786-2017 - 财政年份:2017
- 资助金额:
$ 37.93万 - 项目类别:
Experience Awards (previously Industrial Undergraduate Student Research Awards)
Leading Order Mass Contributions to the Vector Strangeonium Hybrid Correlator
对矢量斯特兰混合相关器的前导质量贡献
- 批准号:
431716-2012 - 财政年份:2012
- 资助金额:
$ 37.93万 - 项目类别:
University Undergraduate Student Research Awards
Leading Order Mass Contributions to the Vector Strangeonium Hybrid Correlator
对矢量斯特兰混合相关器的前导质量贡献
- 批准号:
431615-2012 - 财政年份:2012
- 资助金额:
$ 37.93万 - 项目类别:
University Undergraduate Student Research Awards
An Ultra-Efficient Radio Correlator Architecture
超高效无线电相关器架构
- 批准号:
1206552 - 财政年份:2012
- 资助金额:
$ 37.93万 - 项目类别:
Standard Grant
Investigation of femtosecond optical delay and auto correlator in X-ray region
X射线区域飞秒光延迟和自相关器研究
- 批准号:
23360038 - 财政年份:2011
- 资助金额:
$ 37.93万 - 项目类别:
Grant-in-Aid for Scientific Research (B)














{{item.name}}会员




