GCAM–GLORY v1.0: representing global reservoir water storage in a multi-sector human–Earth system model

Geoscientific model development, Journal Year: 2024, Volume and Issue: 17(14), P. 5587 - 5617

Published: July 24, 2024

Abstract. Reservoirs play a significant role in modifying the spatiotemporal availability of surface water to meet multi-sector human demands, despite representing relatively small fraction global budget. Yet integrated modeling frameworks that explore interactions among climate, land, energy, water, and socioeconomic systems at scale often contain limited representations storage dynamics incorporate feedbacks from other systems. In this study, we implement representation Global Change Analysis Model (GCAM) enable exploration future (e.g., expansion) reservoir globally meeting demands for, evolving response with, energy GCAM represents 235 basins, operates 5-year time steps, uses supply curves capture economic competition renewable (now including reservoirs), non-renewable groundwater, desalination. Our approach consists developing GLObal Reservoir Yield (GLORY) model, which linear programming (LP)-based optimization algorithm dynamically linking GLORY with GCAM. The new coupled GCAM–GLORY improves several ways. First, model identifies cost supplying increasing levels by considering regional physical factors, such as monthly inflows leveled constructing additional capacity. Second, passing those costs GCAM, enables expansion pathways their climate drivers. To guide toward reasonable pathways, applies diverse array feasibility constraints related protected population, sources, cropland. Finally, GLORY–GCAM feedback loop allows inform GLORY, resulting an updated curve each step, thus enabling establish more meaningful value water. This study our understanding sensitivity multiple dimensions, sub-annual variations conditions especially for basins experiencing droughts.

Language: Английский

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Policy Note: Artificial Intelligence Enables Multi-Dimensional Economics of Water

Water Economics and Policy, Journal Year: 2023, Volume and Issue: 09(01)

Published: March 1, 2023

Can artificial intelligence (AI) help enable a new pluralistic and multi-dimensional cost-benefit analysis (CBA) for complex human-natural systems? Yes, it can. This policy brief quickly summarizes the history of water economics considers how environment infrastructure planners investors can exploit approach to address today’s climate, scarcity environmental inequity crises.

Language: Английский

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Chapter 5 : Energy Supply, Delivery, and Demand. Fifth National Climate Assessment

Published: Jan. 1, 2023

Language: Английский

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Comment on gmd-2023-204

Published: Feb. 12, 2024

Abstract. Reservoirs play a significant role in modifying the spatiotemporal availability of surface water to meet multi-sector human demands, despite representing relatively small fraction global budget. Yet integrated modeling frameworks that explore interactions among climate, land, energy, water, and socioeconomic systems at scale often contain limited representations storage dynamics incorporate feedbacks from other systems. In this study, we implement representation Global Change Analysis Model (GCAM) enable exploration future (e.g., expansion) reservoir globally meeting demands for, evolving response with, energy GCAM represents 235 basins, operates 5-year time steps, uses supply curves capture economic competition renewable (now including reservoirs), non-renewable groundwater, desalination. Our approach consists developing GLObal Reservoir Yield (GLORY) model, which Linear Programming (LP)-based optimization algorithm, dynamically linking GLORY with GCAM. The new coupled GCAM-GLORY improves several ways. First, model identifies cost increasing levels by considering regional physical factors, such as monthly inflows levelized construct additional capacity. Second, passing those costs GCAM, enables exploring expansion pathways their climate drivers. To guide toward reasonable pathways, applies diverse array feasibility constraints related protected population, sources, cropland. Finally, GLORY-GCAM feedback loop allows inform GLORY, resulting an updated curve each step, thus enabling establish more meaningful value water. This study our understanding sensitivity multiple dimensions, sub-annual variations conditions especially for basins experiencing droughts.

Language: Английский

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Comment on gmd-2023-204

Published: Feb. 20, 2024

Abstract. Reservoirs play a significant role in modifying the spatiotemporal availability of surface water to meet multi-sector human demands, despite representing relatively small fraction global budget. Yet integrated modeling frameworks that explore interactions among climate, land, energy, water, and socioeconomic systems at scale often contain limited representations storage dynamics incorporate feedbacks from other systems. In this study, we implement representation Global Change Analysis Model (GCAM) enable exploration future (e.g., expansion) reservoir globally meeting demands for, evolving response with, energy GCAM represents 235 basins, operates 5-year time steps, uses supply curves capture economic competition renewable (now including reservoirs), non-renewable groundwater, desalination. Our approach consists developing GLObal Reservoir Yield (GLORY) model, which Linear Programming (LP)-based optimization algorithm, dynamically linking GLORY with GCAM. The new coupled GCAM-GLORY improves several ways. First, model identifies cost increasing levels by considering regional physical factors, such as monthly inflows levelized construct additional capacity. Second, passing those costs GCAM, enables exploring expansion pathways their climate drivers. To guide toward reasonable pathways, applies diverse array feasibility constraints related protected population, sources, cropland. Finally, GLORY-GCAM feedback loop allows inform GLORY, resulting an updated curve each step, thus enabling establish more meaningful value water. This study our understanding sensitivity multiple dimensions, sub-annual variations conditions especially for basins experiencing droughts.

Language: Английский

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Reply on RC1

Published: April 3, 2024

Abstract. Reservoirs play a significant role in modifying the spatiotemporal availability of surface water to meet multi-sector human demands, despite representing relatively small fraction global budget. Yet integrated modeling frameworks that explore interactions among climate, land, energy, water, and socioeconomic systems at scale often contain limited representations storage dynamics incorporate feedbacks from other systems. In this study, we implement representation Global Change Analysis Model (GCAM) enable exploration future (e.g., expansion) reservoir globally meeting demands for, evolving response with, energy GCAM represents 235 basins, operates 5-year time steps, uses supply curves capture economic competition renewable (now including reservoirs), non-renewable groundwater, desalination. Our approach consists developing GLObal Reservoir Yield (GLORY) model, which Linear Programming (LP)-based optimization algorithm, dynamically linking GLORY with GCAM. The new coupled GCAM-GLORY improves several ways. First, model identifies cost increasing levels by considering regional physical factors, such as monthly inflows levelized construct additional capacity. Second, passing those costs GCAM, enables exploring expansion pathways their climate drivers. To guide toward reasonable pathways, applies diverse array feasibility constraints related protected population, sources, cropland. Finally, GLORY-GCAM feedback loop allows inform GLORY, resulting an updated curve each step, thus enabling establish more meaningful value water. This study our understanding sensitivity multiple dimensions, sub-annual variations conditions especially for basins experiencing droughts.

Language: Английский

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Reply on RC2

Published: April 3, 2024

Abstract. Reservoirs play a significant role in modifying the spatiotemporal availability of surface water to meet multi-sector human demands, despite representing relatively small fraction global budget. Yet integrated modeling frameworks that explore interactions among climate, land, energy, water, and socioeconomic systems at scale often contain limited representations storage dynamics incorporate feedbacks from other systems. In this study, we implement representation Global Change Analysis Model (GCAM) enable exploration future (e.g., expansion) reservoir globally meeting demands for, evolving response with, energy GCAM represents 235 basins, operates 5-year time steps, uses supply curves capture economic competition renewable (now including reservoirs), non-renewable groundwater, desalination. Our approach consists developing GLObal Reservoir Yield (GLORY) model, which Linear Programming (LP)-based optimization algorithm, dynamically linking GLORY with GCAM. The new coupled GCAM-GLORY improves several ways. First, model identifies cost increasing levels by considering regional physical factors, such as monthly inflows levelized construct additional capacity. Second, passing those costs GCAM, enables exploring expansion pathways their climate drivers. To guide toward reasonable pathways, applies diverse array feasibility constraints related protected population, sources, cropland. Finally, GLORY-GCAM feedback loop allows inform GLORY, resulting an updated curve each step, thus enabling establish more meaningful value water. This study our understanding sensitivity multiple dimensions, sub-annual variations conditions especially for basins experiencing droughts.

Language: Английский

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Characterizing Climatic Socio‐Environmental Tipping Points in Coastal Communities: A Conceptual Framework for Research and Practice

Earth s Future, Journal Year: 2024, Volume and Issue: 12(7)

Published: July 1, 2024

Abstract The concept of climate tipping points in socio‐environmental systems is increasingly being used to describe nonlinear change impacts and encourage social transformations response change. However, the processes that lead these their are highly complex deeply uncertain. This due numerous interacting environmental societal system components, constant evolution, uncertainty relationships between events consequences. In face this complexity uncertainty, research presents a conceptual framework describes systemic could systems, with focus on coastal communities facing sea level rise. Within context, we propose an organizational for description consists elements, state variables, links, internal processes, exogenous influences. then three mechanisms by which occur: feedback cascading linkages, relationships. We presented expert panel practitioners found it has potential characterize effects secondary climatic rarely risk analyses. Finally, identify salient areas further can build upon proposed inform practical efforts support adaptation resilience.

Language: Английский

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Integrating Values to Improve the Relevance of Climate‐Risk Research

Earth s Future, Journal Year: 2024, Volume and Issue: 12(10)

Published: Oct. 1, 2024

Abstract Climate risks are growing. Research is increasingly important to inform the design of risk‐management strategies. Assessing such strategies necessarily brings values into research. But assumed within research (often only implicitly) may not align with those stakeholders and decision makers. These misalignments often invisible researchers can severely limit relevance or lead inappropriate policy advice. Aligning strategy assessments stakeholders' requires a holistic approach that oriented around from start. Integrating in this way collaboration stakeholders, integration across disciplines, attention all aspects design. Here we describe demonstrate qualitative conceptual tool called values‐informed mental model (ViMM) support values‐centered ViMMs map onto study system visualize intersection coupled natural‐human dynamics. Through mapping, integrate inputs diverse collaborators assesses light values. We define visual language for ViMMs, accompanying practices workflows, present an illustrative application case flood‐risk management small community along Susquehanna river Northeast United States.

Language: Английский

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GCAM-GLORY v1.0: Representing Global Reservoir Water Storage in a Multisector Human-Earth System Model

Published: Dec. 6, 2023

Abstract. Reservoirs play a significant role in modifying the spatiotemporal availability of surface water to meet multi-sector human demands, despite representing relatively small fraction global budget. Yet integrated modeling frameworks that explore interactions among climate, land, energy, water, and socioeconomic systems at scale often contain limited representations storage dynamics incorporate feedbacks from other systems. In this study, we implement representation Global Change Analysis Model (GCAM) enable exploration future (e.g., expansion) reservoir globally meeting demands for, evolving response with, energy GCAM represents 235 basins, operates 5-year time steps, uses supply curves capture economic competition renewable (now including reservoirs), non-renewable groundwater, desalination. Our approach consists developing GLObal Reservoir Yield (GLORY) model, which Linear Programming (LP)-based optimization algorithm, dynamically linking GLORY with GCAM. The new coupled GCAM-GLORY improves several ways. First, model identifies cost increasing levels by considering regional physical factors, such as monthly inflows levelized construct additional capacity. Second, passing those costs GCAM, enables exploring expansion pathways their climate drivers. To guide toward reasonable pathways, applies diverse array feasibility constraints related protected population, sources, cropland. Finally, GLORY-GCAM feedback loop allows inform GLORY, resulting an updated curve each step, thus enabling establish more meaningful value water. This study our understanding sensitivity multiple dimensions, sub-annual variations conditions especially for basins experiencing droughts.

Language: Английский

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