The Experts below are selected from a list of 45 Experts worldwide ranked by ideXlab platform

Guangheng Ni - One of the best experts on this subject based on the ideXlab platform.

  • impacts of anthropogenic heat on summertime rainfall in beijing
    Journal of Hydrometeorology, 2017
    Co-Authors: Benjamin F Zaitchik, Guangheng Ni
    Abstract:

    AbstractAnthropogenic heat is an important component of the urban Energy budgets that can affect land surface and atmospheric boundary layer processes. Representation of anthropogenic heat in numerical climate modeling systems is therefore important when simulating urban meteorology and climate and has the potential to improve weather forecasts, climate process studies, and Energy Demand Analysis. Here, spatiotemporally dynamic anthropogenic heat data estimated by the Building Effects Parameterization and Building Energy Model (BEP-BEM) are incorporated into the Weather Research and Forecasting (WRF) Model system to investigate its impact on simulation of summertime rainfall in Beijing, China. Simulations of four local rainfall events with and without anthropogenic heat indicate that anthropogenic heat leads to increased rainfall over the urban area. For all four events, anthropogenic heat emission increases sensible heat flux, enhances mixing and turbulent Energy transport, lifts PBL height, increases dr...

  • impacts of anthropogenic heat on summertime rainfall in beijing
    Journal of Hydrometeorology, 2017
    Co-Authors: Benjamin F Zaitchik, Guangheng Ni
    Abstract:

    AbstractAnthropogenic heat is an important component of the urban Energy budgets that can affect land surface and atmospheric boundary layer processes. Representation of anthropogenic heat in numerical climate modeling systems is therefore important when simulating urban meteorology and climate and has the potential to improve weather forecasts, climate process studies, and Energy Demand Analysis. Here, spatiotemporally dynamic anthropogenic heat data estimated by the Building Effects Parameterization and Building Energy Model (BEP-BEM) are incorporated into the Weather Research and Forecasting (WRF) Model system to investigate its impact on simulation of summertime rainfall in Beijing, China. Simulations of four local rainfall events with and without anthropogenic heat indicate that anthropogenic heat leads to increased rainfall over the urban area. For all four events, anthropogenic heat emission increases sensible heat flux, enhances mixing and turbulent Energy transport, lifts PBL height, increases dr...

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

  • impacts of anthropogenic heat on summertime rainfall in beijing
    Journal of Hydrometeorology, 2017
    Co-Authors: Benjamin F Zaitchik, Guangheng Ni
    Abstract:

    AbstractAnthropogenic heat is an important component of the urban Energy budgets that can affect land surface and atmospheric boundary layer processes. Representation of anthropogenic heat in numerical climate modeling systems is therefore important when simulating urban meteorology and climate and has the potential to improve weather forecasts, climate process studies, and Energy Demand Analysis. Here, spatiotemporally dynamic anthropogenic heat data estimated by the Building Effects Parameterization and Building Energy Model (BEP-BEM) are incorporated into the Weather Research and Forecasting (WRF) Model system to investigate its impact on simulation of summertime rainfall in Beijing, China. Simulations of four local rainfall events with and without anthropogenic heat indicate that anthropogenic heat leads to increased rainfall over the urban area. For all four events, anthropogenic heat emission increases sensible heat flux, enhances mixing and turbulent Energy transport, lifts PBL height, increases dr...

  • impacts of anthropogenic heat on summertime rainfall in beijing
    Journal of Hydrometeorology, 2017
    Co-Authors: Benjamin F Zaitchik, Guangheng Ni
    Abstract:

    AbstractAnthropogenic heat is an important component of the urban Energy budgets that can affect land surface and atmospheric boundary layer processes. Representation of anthropogenic heat in numerical climate modeling systems is therefore important when simulating urban meteorology and climate and has the potential to improve weather forecasts, climate process studies, and Energy Demand Analysis. Here, spatiotemporally dynamic anthropogenic heat data estimated by the Building Effects Parameterization and Building Energy Model (BEP-BEM) are incorporated into the Weather Research and Forecasting (WRF) Model system to investigate its impact on simulation of summertime rainfall in Beijing, China. Simulations of four local rainfall events with and without anthropogenic heat indicate that anthropogenic heat leads to increased rainfall over the urban area. For all four events, anthropogenic heat emission increases sensible heat flux, enhances mixing and turbulent Energy transport, lifts PBL height, increases dr...

Andrew Martin - One of the best experts on this subject based on the ideXlab platform.

B.w. Ang - One of the best experts on this subject based on the ideXlab platform.

  • decomposition of aggregate Energy intensity changes in two measures ratio and difference
    Energy Economics, 2003
    Co-Authors: Kihong Choi, B.w. Ang
    Abstract:

    Decomposition Analysis has been popular in Energy Demand Analysis and has been found useful in policy-related studies. Past studies include decomposition of changes of an aggregate indicator, measured in terms of either ratios or differences, into several pre-defined contributing factors. Aggregate indicators that are often studied include total national Energy Demand, Energy Demand in specific consuming sectors, aggregate Energy intensity and Energy-related carbon dioxide emissions. However, the possible linkages between the ratio measure and the difference measure, including their decomposition results, have seldom been analysed. This paper examines this issue using the Divisia decomposition technique and a unique pair of decomposition formulae. Numerical examples based on Singapore and Taiwan industrial electricity Demand data are presented.

  • Decomposition methodology in industrial Energy Demand Analysis
    Energy, 1995
    Co-Authors: B.w. Ang
    Abstract:

    We discuss some methodological and application issues related to decomposing national industrial Energy consumption into changes associated with aggregate industrial production level, production structure and sectoral Energy intensity. Past studies are classified and reviewed with respect to study scope and decomposition technique. A framework for decomposition method formulation which incorporates three different approaches is presented. Several specific methods are described and their applications are illustrated with an example. Relevant application issues, such as method selection, periodwise vs time-series decomposition, significance of levels of sector disaggregation, and result interpretation are discussed.

Daniel Woldemariam - One of the best experts on this subject based on the ideXlab platform.