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Massachusetts Institute of Technology

A reduced-form statistical climate model suitable for coupling with economic emissions projections

Abstract

dc:description.abstract

In this work, we use models based on past data and scientific analysis to determine possible future states of the environment. We attempt to improve the equations for temperature and greenhouse gas concentration used in conjunction with the MIT Emissions Prediction and Policy Analysis (EPPA) model or for independent climate analysis based on results from the more complex MIT Integrated Global Systems Model (IGSM). The functions we generate should allow a software system to approximate the environmental variables from the policy inputs in a matter of seconds. At the same time, the estimates should be close enough to the exact values given by the IGSM to be considered meaningful.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2007

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rabin, Gregory S
Advisor dc:contributor.advisor
  • Henry D. Jacoby.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/41672
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/41672

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Rabin, Gregory S. A reduced-form statistical climate model suitable for coupling with economic emissions projections. Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41672