scholarly journals An Integrated Assessment Model for Helping the United States Sea Scallop (Placopecten magellanicus) Fishery Plan Ahead for Ocean Acidification and Warming

PLoS ONE ◽  
2015 ◽  
Vol 10 (5) ◽  
pp. e0124145 ◽  
Author(s):  
Sarah R. Cooley ◽  
Jennie E. Rheuban ◽  
Deborah R. Hart ◽  
Victoria Luu ◽  
David M. Glover ◽  
...  
2020 ◽  
Vol 96 (4) ◽  
pp. 478-492
Author(s):  
Joel Corona ◽  
Todd Doley ◽  
Charles Griffiths ◽  
Matthew Massey ◽  
Chris Moore ◽  
...  

2011 ◽  
Vol 101 (5) ◽  
pp. 1649-1675 ◽  
Author(s):  
Nicholas Z Muller ◽  
Robert Mendelsohn ◽  
William Nordhaus

This study presents a framework to include environmental externalities into a system of national accounts. The paper estimates the air pollution damages for each industry in the United States. An integrated-assessment model quantifies the marginal damages of air pollution emissions for the US which are multiplied times the quantity of emissions by industry to compute gross damages. Solid waste combustion, sewage treatment, stone quarrying, marinas, and oil and coal-fired power plants have air pollution damages larger than their value added. The largest industrial contributor to external costs is coal-fired electric generation, whose damages range from 0.8 to 5.6 times value added. (JEL E01, L94, Q53, Q56)


2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Nathan E. Hultman ◽  
Leon Clarke ◽  
Carla Frisch ◽  
Kevin Kennedy ◽  
Haewon McJeon ◽  
...  

Abstract Approaches that root national climate strategies in local actions will be essential for all countries as they develop new nationally determined contributions under the Paris Agreement. The potential impact of climate action from non-national actors in delivering higher global ambition is significant. Sub-national action in the United States provides a test for how such actions can accelerate emissions reductions. We aggregated U.S. state, city, and business commitments within an integrated assessment model to assess how a national climate strategy can be built upon non-state actions. We find that existing commitments alone could reduce emissions 25% below 2005 levels by 2030, and that enhancing actions by these actors could reduce emissions up to 37%. We show how these actions can provide a stepped-up basis for additional federal action to reduce emissions by 49%—consistent with 1.5 °C. Our analysis demonstrates sub-national actions can lead to substantial reductions and support increased national action.


2020 ◽  
Author(s):  
Zarrar Khan ◽  
Thomas Wild ◽  
Chris Vernon ◽  
Mohamad Hejazi ◽  
Gokul Iyer ◽  
...  

<p>Energy, water, and land (EWL) resource planning at regional (e.g. large river basins, states and provinces, balancing authorities) and sub-regional (e.g. sub-basins, counties, Agro-Ecological Zones (AEZ)) scales has commonly been conducted in relative isolation by institutions focused on individual sectors, such as water supply or electricity. The effectiveness of this traditional approach is increasingly being strained by rapid integration among sectors as well as by a range of regional and global forces, such as climate, technological and socioeconomic change. In this study we explore regional and sub-regional implications of these changes across the United States for a suite of scenarios representing a range of socio-economic and climate pathways. We couple a global integrated assessment model with a suite of sectoral downscaling tools to analyze the evolution of EWL hotspots at variable spatial scales. The ability to flexibly telescope into regions to identify the evolution of dynamic EWL hotspots allows planners to capitalize on synergistic opportunities as well as avoid potential conflicts across sectors at stakeholder specific jurisdictional boundaries as well as in the context of the larger region.</p>


2021 ◽  
Vol 167 (3-4) ◽  
Author(s):  
Camilla C. N. de Oliveira ◽  
Gerd Angelkorte ◽  
Pedro R. R. Rochedo ◽  
Alexandre Szklo

2017 ◽  
Author(s):  
Abigail C. Snyder ◽  
Robert P. Link ◽  
Katherine V. Calvin

Abstract. Hindcasting experiments (conducting a model forecast for a time period in which observational data is available) are rarely undertaken in the Integrated Assessment Model (IAM) community. When they are undertaken, the results are often evaluated using global aggregates or otherwise highly aggregated skill scores that mask deficiencies. We select a set of deviation based measures that can be applied at different spatial scales (regional versus global) to make evaluating the large number of variable-region combinations in IAMs more tractable. We also identify performance benchmarks for these measures, based on the statistics of the observational dataset, that allow a model to be evaluated in absolute terms rather than relative to the performance of other models at similar tasks. This is key in the integrated assessment community, where there often are not multiple models conducting hindcast experiments to allow for model intercomparison. The performance benchmarks serve a second purpose, providing information about the reasons a model may perform poorly on a given measure and therefore identifying opportunities for improvement. As a case study, the measures are applied to the results of a past hindcast experiment focusing on land allocation in the Global Change Assessment Model (GCAM) version 3.0. We find quantitative evidence that global aggregates alone are not sufficient for evaluating IAMs, such as GCAM, that require global supply to equal global demand at each time period. Additionally, the deviation measures examined in this work successfully identity parametric and structural changes that may improve land allocation decisions in GCAM. Future work will involve implementing the suggested improvements to the GCAM land allocation system identified by the measures in this work, using the measures to quantify performance improvement due to these changes, and, ideally, applying these measures to other sectors of GCAM and other land allocation models.


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