Integrating Climate and Risk-Informed Science to Support Critical Decisions
Abstract
The PNNL Environmental Health and Remediation Sector stewards several decision support capabilities to integrate climate- and risk-informed science to support critical decisions. Utilizing our expertise in risk and decision analysis, integrated Earth systems modeling, and remote sensing and geoinformatics, PNNL is influencing the way science informs high level decisions at national, regional and local scales to protect and preserve our most critical assets.
- Publication Date:
- Research Org.:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1283191
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 29 ENERGY PLANNING, POLICY, AND ECONOMY; PACIFIC NORTHWEST NATIONAL LABORATORY; INTEGRATED EARTH SYSTEMS MODELING; RISK AND DECISION ANALYSIS; RISK ASSESSMENTS; PHOENIX; PNNL-HANFORD ONLINE ENVIRONMENTAL INFORMATION EXCHANGE; CLIMATE; ENERGY; WATER; LAND
Citation Formats
. Integrating Climate and Risk-Informed Science to Support Critical Decisions. United States: N. p., 2016.
Web.
. Integrating Climate and Risk-Informed Science to Support Critical Decisions. United States.
. Wed .
"Integrating Climate and Risk-Informed Science to Support Critical Decisions". United States. https://www.osti.gov/servlets/purl/1283191.
@article{osti_1283191,
title = {Integrating Climate and Risk-Informed Science to Support Critical Decisions},
author = {},
abstractNote = {The PNNL Environmental Health and Remediation Sector stewards several decision support capabilities to integrate climate- and risk-informed science to support critical decisions. Utilizing our expertise in risk and decision analysis, integrated Earth systems modeling, and remote sensing and geoinformatics, PNNL is influencing the way science informs high level decisions at national, regional and local scales to protect and preserve our most critical assets.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {7}
}