4.5 Article

Climate risk management requires explicit representation of societal trade-offs

期刊

CLIMATIC CHANGE
卷 134, 期 4, 页码 713-723

出版社

SPRINGER
DOI: 10.1007/s10584-016-1607-3

关键词

-

资金

  1. National Science Foundation (NSF) through the Network for Sustainable Climate Risk Management (SCRiM) under NSF [GEO-1240507]
  2. Penn State Center for Climate Risk Management
  3. Directorate For Geosciences [1240507] Funding Source: National Science Foundation
  4. Division Of Mathematical Sciences
  5. Direct For Mathematical & Physical Scien [GRANTS:13778004, 1107046] Funding Source: National Science Foundation

向作者/读者索取更多资源

Strategies for managing climate-change risks impact diverse stakeholder groups that possess potentially conflicting preferences. Basic physics and economics suggest that reconciling all of these preference conflicts may not be possible. Moreover, different climate risk management strategies can yield diverse and potentially severe impacts across different global stakeholders. These preference conflicts and their uncertain impacts require an explicit understanding of the trade-offs that emerge across different risk management strategies. Traditionally, integrated assessment models (IAMs) typically aggregate the stakeholders' preferences across the entire globe into a single, a priori defined utility function. This framing hides climate risk management trade-offs as well as the inherent stakeholder compromises implicit to the resulting single optimal expected utility solution. Here, we analyze a simple IAM to quantify and visualize the multidimensional trade-offs among four objectives representing global concerns: (i) global economic productivity, (ii) reliable temperature stabilization, (iii) climate damages, and (iv) abatement costs. We quantify and visualize the trade-offs across these objectives and demonstrate how a traditional optimal expected utility policy implicitly eliminates many relevant policy pathways. Explicit trade-off analysis provides a richer context for exploring conflicting global policy preferences and clarifies the implications of alternative climate risk mitigation policies to better inform negotiated compromises.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Civil

Bias Correction of Hydrologic Projections Strongly Impacts Inferred Climate Vulnerabilities in Institutionally Complex Water Systems

Keyvan Malek, Patrick Reed, Harrison Zeff, Andrew Hamilton, Melissa Wrzesien, Natan Holtzman, Scott Steinschneider, Jonathan Herman, Tamlin Pavelsky

Summary: This study demonstrates the significant impact that even modest projection errors can have on water resource assessments in California's irrigation districts. Errors in land-surface models (LSMs) projections of flood and drought extremes are found to be interactive across timescales and can be amplified when modeling infrastructure systems. Common strategies for reducing errors in deterministic LSM projections can distort projections of climate vulnerabilities and misrepresent their financial consequences.

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2022)

Article Environmental Sciences

From Stream Flows to Cash Flows: Leveraging Evolutionary Multi-Objective Direct Policy Search to Manage Hydrologic Financial Risks

Andrew L. Hamilton, Gregory W. Characklis, Patrick M. Reed

Summary: Hydrologic variability presents financial challenges for organizations relying on water, but support for managing related financial risks is limited. This paper demonstrates the utility of Evolutionary Multi-Objective Direct Policy Search for developing adaptive policies to manage drought-related financial risk for hydropower producers.

WATER RESOURCES RESEARCH (2022)

Article Meteorology & Atmospheric Sciences

A multi-objective paleo-informed reconstruction of western US weather regimes over the past 600 years

Rohini S. Gupta, Scott Steinschneider, Patrick M. Reed

Summary: This study proposes a novel approach to reconstruct the frequency of regional weather regimes in the Western US based on tree-ring data. The reconstructed weather regimes show significant variability and are consistent with previous findings on megadroughts and pluvials. This study provides important insights into the natural atmospheric variability that can impact Western US weather.

CLIMATE DYNAMICS (2023)

Article Engineering, Civil

Designing Water Utility Cooperative Agreements: Lessons Learned in North Carolina

David E. Gorelick, David F. Gold, Patrick M. Reed, Gregory W. Characklis

JOURNAL AWWA (2023)

Article Engineering, Civil

Exploring the Consistency of Water Scarcity Inferences between Large-Scale Hydrologic and Node-Based Water System Model Representations of the Upper Colorado River Basin

Antonia Hadjimichael, Jim Yoon, Patrick Reed, Nathalie Voisin, Wenwei Xu

Summary: Efforts in developing and simulating water resources models have grown rapidly in recent years to aid in evaluating and planning for water scarcity and allocation. This study examines two representative models from different communities to assess their consistency in evaluating water scarcity vulnerabilities. Results show that the regional-scale model underestimates the variability in vulnerabilities at a smaller scale, while the basin-scale water systems model suggests a larger variance of scarcity due to its more detailed accounting of local water allocation infrastructure and institutional processes. This comparison highlights the limitations of large-scale studies and the role of basin-scale models in informing water allocation and shortage strategies when used in conjunction with larger-scale hydrological modeling studies.

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2023)

Article Engineering, Civil

Water Supply Infrastructure Investments Require Adaptive Financial Assessment: Evaluation of Coupled Financial and Water Supply Dynamics

David E. E. Gorelick, David F. F. Gold, Tirusew Asefa, Sandro Svrdlin, Hui Wang, Nisai Wanakule, Patrick M. M. Reed, Gregory W. W. Characklis

Summary: Water managers need to balance investment in infrastructure upgrades for reliable water supply and affordable water rates. However, few studies have quantified the financial benchmarks of water supply system adaptation. This study introduces a modeling framework that couples adaptive water supply planning with financial modeling to track utility budgetary decision making in response to infrastructure expansion and water demand growth. Through evaluation of infrastructure planning for Tampa Bay Water, the study showcases the financial implications of infrastructure decisions and demand growth on water rates.

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT (2023)

Article Environmental Sciences

The timing of decreasing coastal flood protection due to sea-level rise

Tim H. J. Hermans, Victor Malagon-Santos, Caroline A. Katsman, Robert A. Jane, D. J. Rasmussen, Marjolijn Haasnoot, Gregory G. Garner, Robert E. Kopp, Michael Oppenheimer, Aimee B. A. Slangen

Summary: Sea-level rise increases the likelihood of exceeding local protection infrastructure, and the authors propose a method to determine when the degree of local protection decreases. This study projects the timing of extreme sea level frequency amplification relative to estimated local flood protection standards. Results show that within the next 30 years, the frequency of exceeding protection standards will significantly increase at a high proportion of tide gauges under different emissions scenarios.

NATURE CLIMATE CHANGE (2023)

Review Environmental Sciences

Communicating future sea-level rise uncertainty and ambiguity to assessment users

Robert E. E. Kopp, Michael Oppenheimer, Jessica L. L. O'Reilly, Sybren S. S. Drijfhout, Tamsin L. L. Edwards, Baylor Fox-Kemper, Gregory G. G. Garner, Nicholas R. R. Golledge, Tim H. J. Hermans, Helene T. T. Hewitt, Benjamin P. P. Horton, Gerhard Krinner, Dirk Notz, Sophie Nowicki, Matthew D. D. Palmer, Aimee B. A. Slangen, Cunde Xiao

Summary: Future sea-level change has both quantifiable and unquantifiable uncertainties, and effectively communicating these uncertainties is a key challenge in translating sea-level science for coastal planning. Scientific assessments have taken different approaches to communicate sea-level projection uncertainty, and this information influenced the presentation of uncertainties in the IPCC Sixth Assessment Report. The goal is to preserve both quantifiable and unquantifiable elements as projections are adapted for regional application.

NATURE CLIMATE CHANGE (2023)

Article Meteorology & Atmospheric Sciences

Large Ensemble Diagnostic Evaluation of Hydrologic Parameter Uncertainty in the Community Land Model Version 5 (CLM5)

Hongxiang Yan, Ning Sun, Hisham Eldardiry, Travis B. Thurber, Patrick M. Reed, Keyvan Malek, Rohini Gupta, Daniel Kennedy, Sean C. Swenson, Zhangshuan Hou, Yanyan Cheng, Jennie S. Rice

Summary: In this study, the benchmarking of CLM5 streamflow predictions using default hydrologic parameters was conducted for 464 headwater basins in the conterminous United States (CONUS). The results revealed relatively poor streamflow prediction skill of CLM5 in arid Southwest and Central U.S. regions. The impacts of hydrologic parameter uncertainty on CLM5 streamflow predictions vary in complex ways across U.S. regions, timescales, and flow regimes.

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2023)

Article Multidisciplinary Sciences

Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States

Hongxiang Yan, Ning Sun, Hisham Eldardiry, Travis B. Thurber, Patrick M. Reed, Keyvan Malek, Rohini Gupta, Daniel Kennedy, Sean C. Swenson, Linying Wang, Dan Li, Chris R. Vernon, Casey D. Burleyson, Jennie S. Rice

Summary: We conducted a comprehensive hydrological parameter uncertainty characterization of CLM5 over the hydroclimatic gradients of the conterminous United States using five meteorological datasets. The key datasets produced from this experiment include benchmark data of CLM5 default hydrological performance, parameter sensitivities for 28 hydrological metrics, and large-ensemble outputs for CLM5 hydrological predictions. These datasets will assist CLM5 calibration, support evaluations of drought and flood vulnerabilities, and help identify conditions where parametric uncertainties have substantial effects on hydrological predictions.

SCIENTIFIC DATA (2023)

Article Environmental Sciences

Deglacial perspectives of future sea level for Singapore

Timothy A. Shaw, Tanghua Li, Trina Ng, Niamh Cahill, Stephen Chua, Jedrzej M. Majewski, Yudhishthra Nathan, Gregory G. Garner, Robert E. Kopp, Till J. J. Hanebuth, Adam D. Switzer, Benjamin P. Horton

Summary: Low elevation equatorial and tropical coastal regions are at high risk due to sea level rise. Based on regional geological reconstructions and instrumental records, we provide probability perspectives of future sea level for Singapore. The quantification of sea-level change reveals that during the last deglaciation, sea level rose by approximately 121 m and had an average rate of 15 mm/yr, resulting in a reduction of the paleogeographic landscape by about 2.3 million km(2). Projections suggest that under a moderate emissions scenario, sea level is expected to rise by 0.95 m at a rate of 7.3 mm/yr by 2150, which has only been exceeded during rapid ice mass loss events similar to 14.5 and similar to 9 thousand years ago. However, projections under a high emissions scenario incorporating uncertain ice-sheet processes have no precedent during the last deglaciation.

COMMUNICATIONS EARTH & ENVIRONMENT (2023)

Article Environmental Sciences

Identifying robust adaptive irrigation operating policies to balance deeply uncertain economic food production and groundwater sustainability trade-offs

Jose M. Rodriguez-Flores, Rohini S. Gupta, Harrison B. Zeff, Patrick M. Reed, Josue Medellin-Azuara

Summary: This study investigates the application of Evolutionary Multi-Objective Direct Policy Search (EMODPS) in groundwater management for irrigation systems. The findings demonstrate that adaptive irrigation policies can achieve flexible groundwater management that balances revenue and sustainability goals.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2023)

Article Environmental Sciences

Advancing Regional Water Supply Management and Infrastructure Investment Pathways That Are Equitable, Robust, Adaptive, and Cooperatively Stable

David F. Gold, Patrick M. Reed, David E. Gorelick, Gregory W. Characklis

Summary: Regionalization approaches are necessary strategies for managing drought risks and co-investing in infrastructure. However, they also bring new challenges to water supply planning. The DU PathwaysERAS framework provides an integrated approach to evaluate policy outcomes and explore power relationships in cooperative infrastructure policies.

WATER RESOURCES RESEARCH (2023)

Article Environmental Sciences

Evaluating Implementation Uncertainties and Defining Safe Operating Spaces for Deeply Uncertain Cooperative Multi-City Water Supply Investment Pathways

Lillian B. Lau, Patrick M. Reed, David F. Gold

Summary: Urban water utilities are exploring cooperative regional water supply strategies to address climate change and increasing demands. However, there is little research on how uncertainties in cooperative actions affect infrastructure investment and management, and the risks involved. To address this, a framework called DU(SOS)Pathways is introduced to analyze the effects of uncertainties in cooperative regional water supply policies. The framework reveals the effects of uncertainties on short-term and long-term decision-making, and highlights the potential for increased regional conflicts and vulnerabilities. Overall, the framework provides guidance for cooperative policy implementation in regional water supply systems.

WATER RESOURCES RESEARCH (2023)

Article Environmental Sciences

How Should Diverse Stakeholder Interests Shape Evaluations of Complex Water Resources Systems Robustness When Confronting Deeply Uncertain Changes?

Sai Veena Sunkara, Riddhi Singh, David Gold, Patrick Reed, Ajay Bhave

Summary: Robustness analysis is important for large-scale water infrastructure projects facing uncertain futures, but it is challenging to identify an appropriate metric due to diverse actors and interests. In this study, different water transfer strategies for a megaproject in India were compared using various evaluation methods, showing that metric choices significantly impact the rankings of strategies.

EARTHS FUTURE (2023)

暂无数据