Climate system modeling in the framework of the tolerable windows approach: The ICLIPS climate model
The computational burden associated with applications of the Tolerable Windows Approach (TWA) considerably exceeds that of traditional integrated assessments of global climate change. As part of the ICLIPS (Integrated Assessment of Climate Protection Strategies) project, a computationally efficient...
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Published in | Climatic change Vol. 56; no. 1-2; pp. 119 - 137 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Dordrecht
Springer Nature B.V
01.01.2003
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Subjects | |
Online Access | Get full text |
ISSN | 0165-0009 1573-1480 |
DOI | 10.1023/A:1021300924356 |
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Abstract | The computational burden associated with applications of the Tolerable Windows Approach (TWA) considerably exceeds that of traditional integrated assessments of global climate change. As part of the ICLIPS (Integrated Assessment of Climate Protection Strategies) project, a computationally efficient climate model has been developed that can be included in integrated assessment models of any kind. The ICLIPS climate model (ICM) is implemented in GAMS. It is driven by anthropogenic emissions of CO2, CH4, N2O, halocarbons, SF6, and SO2. The output includes transient patterns of near-surface air temperature, total column-integrated cloud cover fraction, precipitation, humidity, and global mean sea-level rise. The carbon cycle module explicitly treats the nonlinear sea water carbon chemistry and the nonlinear CO2 fertilized biosphere uptake. Patterns of the impact-relevant climate variables are derived form empirical orthogonal function (EOF) analysis and scaled by the principal component of temperature change. The evolution of the latter is derived from a box-model-type differential analogue to its impulse response function convolution integral. We present a description of the ICM components and some results to demonstrate the model's applicability in the TWA setting. [PUBLICATION ABSTRACT] |
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AbstractList | The aim of the Tolerable Windows Approach, which has been described previously, is to derive corridors of future greenhouse-gas emissions that satisfy normative constraints regarding tolerable climate-change impacts and acceptable mitigation costs. The boundaries of the corridors are determined by successively solving numerous independent dynamic optimization problems subject to user-defined intertemporal constraints. The Integrated Assessment of Climate Protection Strategies (ICLIPS) climate model, which is based on the Tolerable Windows Approach framework, consists of modules designed to simulate the atmospheric retention and metabolism of important greenhouse gases, their time-dependent contributions to radiative forcing, and the resulting spacetime-dependent anthropogenic climate-change signal. The model components and methodological aspects of the ICLIPS climate model are outlined, and illustrative simulation results are presented. The computational burden associated with applications of the Tolerable Windows Approach (TWA) considerably exceeds that of traditional integrated assessments of global climate change. As part of the ICLIPS (Integrated Assessment of Climate Protection Strategies) project, a computationally efficient climate model has been developed that can be included in integrated assessment models of any kind. The ICLIPS climate model (ICM) is implemented in GAMS. It is driven by anthropogenic emissions of CO2, CH4, N2O, halocarbons, SF6, and SO2. The output includes transient patterns of near-surface air temperature, total column-integrated cloud cover fraction, precipitation, humidity, and global mean sea-level rise. The carbon cycle module explicitly treats the nonlinear sea water carbon chemistry and the nonlinear CO2 fertilized biosphere uptake. Patterns of the impact-relevant climate variables are derived form empirical orthogonal function (EOF) analysis and scaled by the principal component of temperature change. The evolution of the latter is derived from a box-model-type differential analogue to its impulse response function convolution integral. We present a description of the ICM components and some results to demonstrate the model's applicability in the TWA setting. [PUBLICATION ABSTRACT] The computational burden associated with applications of the Tolerable Windows Approach (TWA) considerably exceeds that of traditional integrated assessments of global climate change. As part of the ICLIPS (Integrated Assessment of Climate Protection Strategies) project, a computationally efficient climate model has been developed that can be included in integrated assessment models of any kind. The ICLIPS climate model (ICM) is implemented in GAMS. It is driven by anthropogenic emissions of CO sub(2), CH sub(4), N sub(2)O, halocarbons, SF sub(6), and SO sub(2). The output includes transient patterns of near-surface air temperature, total column-integrated cloud cover fraction, precipitation, humidity, and global mean sea-level rise. The carbon cycle module explicitly treats the nonlinear sea water carbon chemistry and the nonlinear CO sub(2) fertilized biosphere uptake. Patterns of the impact-relevant climate variables are derived form empirical orthogonal function (EOF) analysis and scaled by the principal component of temperature change. The evolution of the latter is derived from a box-model-type differential analogue to its impulse response function convolution integral. We present a description of the ICM components and some results to demonstrate the model's applicability in the TWA setting. The computational burden associated with applications of the Tolerable Windows Approach (TWA) considerably exceeds that of traditional integrated assessments of global climate change. As part of the ICLIPS (Integrated Assessment of Climate Protection Strategies) project, a computationally efficient climate model has been developed that can be included in integrated assessment models of any kind. The ICLIPS climate model (ICM) is implemented in GAMS. It is driven by anthropogenic emissions of CO2, CH4, N2O, halocarbons, SF6, and SO2. The output includes transient patterns of near-surface air temperature, total column-integrated cloud cover fraction, precipitation, humidity, and global mean sea-level rise. The carbon cycle module explicitly treats the nonlinear sea water carbon chemistry and the nonlinear CO2 fertilized biosphere uptake. Patterns of the impact-relevant climate variables are derived form empirical orthogonal function (EOF) analysis and scaled by the principal component of temperature change. The evolution of the latter is derived from a box-model-type differential analogue to its impulse response function convolution integral. We present a description of the ICM components and some results to demonstrate the model's applicability in the TWA setting. |
Author | Hooss, Georg Hasselmann, Klaus Fussel, Hans-Martin Bruckner, Thomas |
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Snippet | The computational burden associated with applications of the Tolerable Windows Approach (TWA) considerably exceeds that of traditional integrated assessments... The aim of the Tolerable Windows Approach, which has been described previously, is to derive corridors of future greenhouse-gas emissions that satisfy... |
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SubjectTerms | Air temperature Anthropogenic factors Biosphere Carbon cycle Carbon dioxide Chemical analysis Chemistry Climate change Climate models Climate system Cloud cover Emissions Environmental assessment Global climate Greenhouse gases Humidity Marine Metabolism Nitrous oxide Ocean circulation Optimization Precipitation Seawater Sulfur dioxide Surface temperature Water analysis |
Title | Climate system modeling in the framework of the tolerable windows approach: The ICLIPS climate model |
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