科技报告详细信息
Modeling and Analysis of Global and Regional Hydrologic Processes and Appropriate Conservation of Moist Entropy
Donald Johnson, Todd Schaack
University of Wisconsin--Madison
关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Heat Sources;    Forecasting;    Simulation;    Climatic Change;   
DOI  :  10.2172/908633
RP-ID  :  DOE/ER/63254-FINAL
RP-ID  :  FG02-01ER63254
RP-ID  :  908633
美国|英语
来源: UNT Digital Library
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【 摘 要 】

The research supported by DOE funding addressed the fundamental issues of understanding and modeling of hydrologic processes in relation to regional and global climate change. The emphasis of this research effort was on the application of isentropic modeling and analysis to advance the accuracy of the simulation of all aspects of the hydrologic cycle including clouds and thus the climate state regionally and globally. Simulation of atmospheric hydrologic processes by the UW hybrid isentropic coordinate models provided fundamental insight into global monsoonal circulations, and regional energy exchange in relation to the atmospheric hydrologic cycle. Inter-comparison of UW hybrid model simulations with those from the NCAR Community Climate Model and other climate and numerical weather prediction (NWP) models investigated the increased accuracies gained in modeling long-range transport in isentropic coordinates and isolated differences in modeling of the climate state. The inter-comparisons demonstrated advantages in the simulation of the transport of the hydrologic components of the climate system and provided insight into the more general problems of simulating hydrologic processes, aerosols and chemistry for climate. This research demonstrated the viability of the UW isentropic-eta model for long-term integration for climate and climate change studies and documented that no insurmountable barriers exist to simulation of climate utilizing hybrid isentropic coordinate models. The results provide impetus for continued development of hybrid isentropic coordinate models as a means to advance accuracies in the simulation of global and regional climate in relation to transport and the planetary distribution of heat sources and sinks.

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