Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-13T06:24:31.713Z Has data issue: false hasContentIssue false

4 - Brief history of data assimilation

from PART 1 - GENESIS OF DATA ASSIMILATION

Published online by Cambridge University Press:  18 December 2009

John M. Lewis
Affiliation:
National Severe Storms Laboratory, Oklahoma
S. Lakshmivarahan
Affiliation:
University of Oklahoma
Sudarshan Dhall
Affiliation:
University of Oklahoma
Get access

Summary

In this chapter we provide an overview of the historical developments that led to the vast and rich discipline called dynamic data assimilation.

Where do we begin the history?

In Chapters 1 and 2 we have established our philosophy of dynamic data assimilation. Central to this philosophy is the existence of data and governing equations or model dynamics. Thus, the Herculean efforts by scientists like Galileo and Kepler and Newton, efforts that made use of observations to formulate theory, fall outside our scope. Their monumental contributions established some of the governing equations (also known as constraints) upon which dynamic data assimilation depends.

The mathematicians and astronomers of the seventeenth and eighteenth centuries who made use of the Newtonian laws to calculate the orbits of comets were the first data assimilators in our sense of the definition. Newton was among them and he discussed the problem in Principia (Book III, Prop. XLI). Regarding the problem of determining the orbit of comets, he said: “This being a problem of very great difficulty, I tried many methods of resolving it.” Among the early investigators of this problem were Leonard Euler, Louis Lagrange, Pierre-Simon Laplace, and lesser known amateur astronomers like Heinrich Olbers. The task of finding the path of a comet, of course, relied on the coupled set of nonlinear differential equations that described its path under the assumption of two-body celestial mechanics – the motion controlled by the gravitational attraction of the comet to the Sun.

Type
Chapter
Information
Dynamic Data Assimilation
A Least Squares Approach
, pp. 81 - 96
Publisher: Cambridge University Press
Print publication year: 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×