The Experts below are selected from a list of 288 Experts worldwide ranked by ideXlab platform

James A. Voogt - One of the best experts on this subject based on the ideXlab platform.

  • Impacts of urban albedo increase on local air temperature at daily-annual time scales: Model results and synthesis of previous work
    Journal of Applied Meteorology and Climatology, 2010
    Co-Authors: E. Scott Krayenhoff, James A. Voogt
    Abstract:

    Abstract The authors combine urban and soil?vegetation surface parameterization schemes with one-dimensional (1D) boundary layer mixing and radiation parameterizations to estimate the maximum impact of increased surface albedo on urban air temperatures. The combined model is evaluated with measurements from an urban neighborhood in Basel, Switzerland, and the importance of surface?atmosphere model coupling is demonstrated. Impacts of extensive albedo increases in two Chicago, Illinois, neighborhoods are modeled. Clear-sky summertime reductions of diurnal maximum air temperature for the residential neighborhood (?p = 0.33) are ?1.1°, ?1.5°, and ?3.6°C for uniform roof albedo increases of 0.19, 0.26, and 0.59, respectively; reductions are about 40% larger for the downtown core (?p = 0.53). Realistic impacts will be smaller because the 1D modeling approach ignores advection; a lake-breeze scenario is modeled and temperature reductions decline by 80%. Assuming no advection, the analysis is extended to seasonal and annual time scales in the residential neighborhood. Yearly average temperature decreases for a 0.59 roof albedo increase are about ?1°C, with summer (winter) reductions about 60% larger (smaller). Annual Cooling Degree-Day decreases are approximately offset by heating Degree-Day increases and the frequency of very hot Days is reduced. Despite the variability of modeling approaches and scenarios in the literature, a consistent range of air temperature sensitivity to albedo is emerging; a 0.10 average increase in neighborhood albedo (a 0.40 roof albedo increase for ?p = 0.25) generates a diurnal maximum air temperature reduction of approximately 0.5°C for ?ideal? conditions, that is, a typical clear-sky midlatitude summer Day.

  • Impacts of Urban Albedo Increase on Local Air Temperature at Daily – Annual Time Scales : Model Results and Synthesis of Previous Work
    Journal of Applied Meteorology and Climatology, 2010
    Co-Authors: Scott Krayenhoff, E, James A. Voogt
    Abstract:

    The authors combine urban and soil–vegetation surface parameterization schemes with one-dimensional (1D) boundary layer mixing and radiation parameterizations to estimate the maximum impact of increased surface albedo on urban air temperatures. The combined model is evaluated with measurements from an urban neighborhood in Basel, Switzerland, and the importance of surface–atmosphere model coupling is demonstrated. Impacts of extensive albedo increases in two Chicago, Illinois, neighborhoods are modeled. Clear-sky summertime reductions of diurnal maximum air temperature for the residential neighborhood (lp 5 0.33) are 21.18, 21.58, and 23.68C for uniform roof albedo increases of 0.19, 0.26, and 0.59, respectively; reductions are about 40% larger for the downtown core (lp 5 0.53). Realistic impacts will be smaller because the 1D modeling approach ignores advection; a lake-breeze scenario is modeled and temperature reductions decline by 80%. Assuming no advection, the analysis is extended to seasonal and annual time scales in the residential neighborhood. Yearly average temperature decreases for a 0.59 roof albedo increase are about 218C, with summer (winter) reductions about 60% larger (smaller). Annual Cooling Degree-Day decreases are approximately offset by heating Degree-Day increases and the frequency of very hot Days is reduced. Despite the variability of modeling approaches and scenarios in the literature, a consistent range of air temperature sensitivity to albedo is emerging; a 0.10 average increase in neighborhood albedo (a 0.40 roof albedo increase for lp 5 0.25) generates a diurnal maximum air temperature reduction of approximately 0.58C for ‘‘ideal’’ conditions, that is, a typical clear-sky midlatitude summer Day.

Florence Babonneau - One of the best experts on this subject based on the ideXlab platform.

  • Geoscientific Model Development PLASIM-ENTSem v1.0: a spatio-temporal emulator of future climate change for impacts assessment
    Geosci. Model Dev, 2014
    Co-Authors: P. B. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling, but this is generally com-putationally infeasible with even moderately complex gen-eral circulation models (GCMs). Dimension reduction us-ing emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS (Planet Simulator cou-pled with the efficient numerical terrestrial scheme). Our ap-proach generates temporally evolving spatial patterns of cli-mate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved (∼ 5 • resolution) seasonal climate data in response to an ar-bitrary future CO 2 concentration and non-CO 2 radiative forc-ing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodol-ogy to produce heating and Cooling Degree-Day projections, the validation of the simulator (with respect to empirical data) and the validation of the emulator (with respect to high-complexity models). We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

  • PLASIM-ENTSem v1.0: a spatio-temporal emulator of future climate change for impacts assessment
    Geoscientific Model Development, 2013
    Co-Authors: P. H. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Abstract. Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling, but this is generally computationally infeasible with even moderately complex general circulation models (GCMs). Dimension reduction using emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS (Planet Simulator coupled with the efficient numerical terrestrial scheme). Our approach generates temporally evolving spatial patterns of climate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved (~ 5° resolution) seasonal climate data in response to an arbitrary future CO2 concentration and non-CO2 radiative forcing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodology to produce heating and Cooling Degree-Day projections, the validation of the simulator (with respect to empirical data) and the validation of the emulator (with respect to high-complexity models). We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

  • PLASIM-ENTSem: a spatio-temporal emulator of future climate change for impacts assessment
    Geoscientific Model Development Discussions, 2013
    Co-Authors: P. B. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling but this is generally computationally infeasible with even moderately complex general circulation models (GCMs). Dimension reduction using emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS. Our approach generates temporally evolving spatial patterns of climate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved ({~} 5° resolution) seasonal climate data in response to an arbitrary future CO{}2{} concentration and radiative forcing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodology to produce heating and Cooling Degree-Day projections, and the validation of the results against empirical data and higher-complexity models. We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

P. B. Holden - One of the best experts on this subject based on the ideXlab platform.

  • Geoscientific Model Development PLASIM-ENTSem v1.0: a spatio-temporal emulator of future climate change for impacts assessment
    Geosci. Model Dev, 2014
    Co-Authors: P. B. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling, but this is generally com-putationally infeasible with even moderately complex gen-eral circulation models (GCMs). Dimension reduction us-ing emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS (Planet Simulator cou-pled with the efficient numerical terrestrial scheme). Our ap-proach generates temporally evolving spatial patterns of cli-mate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved (∼ 5 • resolution) seasonal climate data in response to an ar-bitrary future CO 2 concentration and non-CO 2 radiative forc-ing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodol-ogy to produce heating and Cooling Degree-Day projections, the validation of the simulator (with respect to empirical data) and the validation of the emulator (with respect to high-complexity models). We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

  • PLASIM-ENTSem: a spatio-temporal emulator of future climate change for impacts assessment
    Geoscientific Model Development Discussions, 2013
    Co-Authors: P. B. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling but this is generally computationally infeasible with even moderately complex general circulation models (GCMs). Dimension reduction using emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS. Our approach generates temporally evolving spatial patterns of climate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved ({~} 5° resolution) seasonal climate data in response to an arbitrary future CO{}2{} concentration and radiative forcing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodology to produce heating and Cooling Degree-Day projections, and the validation of the results against empirical data and higher-complexity models. We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

F. Lunkeit - One of the best experts on this subject based on the ideXlab platform.

  • Geoscientific Model Development PLASIM-ENTSem v1.0: a spatio-temporal emulator of future climate change for impacts assessment
    Geosci. Model Dev, 2014
    Co-Authors: P. B. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling, but this is generally com-putationally infeasible with even moderately complex gen-eral circulation models (GCMs). Dimension reduction us-ing emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS (Planet Simulator cou-pled with the efficient numerical terrestrial scheme). Our ap-proach generates temporally evolving spatial patterns of cli-mate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved (∼ 5 • resolution) seasonal climate data in response to an ar-bitrary future CO 2 concentration and non-CO 2 radiative forc-ing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodol-ogy to produce heating and Cooling Degree-Day projections, the validation of the simulator (with respect to empirical data) and the validation of the emulator (with respect to high-complexity models). We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

  • PLASIM-ENTSem v1.0: a spatio-temporal emulator of future climate change for impacts assessment
    Geoscientific Model Development, 2013
    Co-Authors: P. H. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Abstract. Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling, but this is generally computationally infeasible with even moderately complex general circulation models (GCMs). Dimension reduction using emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS (Planet Simulator coupled with the efficient numerical terrestrial scheme). Our approach generates temporally evolving spatial patterns of climate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved (~ 5° resolution) seasonal climate data in response to an arbitrary future CO2 concentration and non-CO2 radiative forcing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodology to produce heating and Cooling Degree-Day projections, the validation of the simulator (with respect to empirical data) and the validation of the emulator (with respect to high-complexity models). We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

  • PLASIM-ENTSem: a spatio-temporal emulator of future climate change for impacts assessment
    Geoscientific Model Development Discussions, 2013
    Co-Authors: P. B. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling but this is generally computationally infeasible with even moderately complex general circulation models (GCMs). Dimension reduction using emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS. Our approach generates temporally evolving spatial patterns of climate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved ({~} 5° resolution) seasonal climate data in response to an arbitrary future CO{}2{} concentration and radiative forcing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodology to produce heating and Cooling Degree-Day projections, and the validation of the results against empirical data and higher-complexity models. We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

A. Kanudia - One of the best experts on this subject based on the ideXlab platform.

  • Geoscientific Model Development PLASIM-ENTSem v1.0: a spatio-temporal emulator of future climate change for impacts assessment
    Geosci. Model Dev, 2014
    Co-Authors: P. B. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling, but this is generally com-putationally infeasible with even moderately complex gen-eral circulation models (GCMs). Dimension reduction us-ing emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS (Planet Simulator cou-pled with the efficient numerical terrestrial scheme). Our ap-proach generates temporally evolving spatial patterns of cli-mate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved (∼ 5 • resolution) seasonal climate data in response to an ar-bitrary future CO 2 concentration and non-CO 2 radiative forc-ing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodol-ogy to produce heating and Cooling Degree-Day projections, the validation of the simulator (with respect to empirical data) and the validation of the emulator (with respect to high-complexity models). We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

  • PLASIM-ENTSem v1.0: a spatio-temporal emulator of future climate change for impacts assessment
    Geoscientific Model Development, 2013
    Co-Authors: P. H. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Abstract. Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling, but this is generally computationally infeasible with even moderately complex general circulation models (GCMs). Dimension reduction using emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS (Planet Simulator coupled with the efficient numerical terrestrial scheme). Our approach generates temporally evolving spatial patterns of climate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved (~ 5° resolution) seasonal climate data in response to an arbitrary future CO2 concentration and non-CO2 radiative forcing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodology to produce heating and Cooling Degree-Day projections, the validation of the simulator (with respect to empirical data) and the validation of the emulator (with respect to high-complexity models). We also demonstrate the application to estimates of sea-level rise and associated uncertainty.

  • PLASIM-ENTSem: a spatio-temporal emulator of future climate change for impacts assessment
    Geoscientific Model Development Discussions, 2013
    Co-Authors: P. B. Holden, F. Lunkeit, E. Kirk, M. Labriet, A. Kanudia, Klaus Fraedrich, N R Edwards, Paul H. Garthwaite, Florence Babonneau
    Abstract:

    Many applications in the evaluation of climate impacts and environmental policy require detailed spatio-temporal projections of future climate. To capture feedbacks from impacted natural or socio-economic systems requires interactive two-way coupling but this is generally computationally infeasible with even moderately complex general circulation models (GCMs). Dimension reduction using emulation is one solution to this problem, demonstrated here with the GCM PLASIM-ENTS. Our approach generates temporally evolving spatial patterns of climate variables, considering multiple modes of variability in order to capture non-linear feedbacks. The emulator provides a 188-member ensemble of decadally and spatially resolved ({~} 5° resolution) seasonal climate data in response to an arbitrary future CO{}2{} concentration and radiative forcing scenario. We present the PLASIM-ENTS coupled model, the construction of its emulator from an ensemble of transient future simulations, an application of the emulator methodology to produce heating and Cooling Degree-Day projections, and the validation of the results against empirical data and higher-complexity models. We also demonstrate the application to estimates of sea-level rise and associated uncertainty.