摘要 :
The ROSCOE-Radar ambient atmosphere model has been extensively revised to provide (a) major atmospheric properties and species densities corresponding to either a code-generated or (optional) user-specified latitude- and season-de...
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The ROSCOE-Radar ambient atmosphere model has been extensively revised to provide (a) major atmospheric properties and species densities corresponding to either a code-generated or (optional) user-specified latitude- and season-dependent temperature profile below 120-km altitude, (b) an increase from 10 to 19 minor species profiles (0, 0(1d), (a1 triangle g), 0 sub 3, N(4S), N2D), N(2P), NO, NO sub 2, N sub 2 O, CO sub 2, CO, CH sub 4, H sub 2 O, H, AR, and HE), with some of them having complex dependencies on latitude (or even geographic position in the case of water below 5-km altitude), local apparent time, fractional season-year, and solar decimetric flux, (c) (optional) user-specified water-vapor profile, and (d) an ionosphere with e, O+, NO+, O+2, and N+2 as ionized species (more than 90 km). (Author)
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摘要 :
One of the largest uncertainties in simulations of climate change over the industrial period is the impact of anthropogenic aerosols on the Earth's radiation budget. Much of this uncertainty arises from the limited capability for ...
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One of the largest uncertainties in simulations of climate change over the industrial period is the impact of anthropogenic aerosols on the Earth's radiation budget. Much of this uncertainty arises from the limited capability for either precisely linking precursor gases to the formation and size distribution of the aerosols or quantitatively describing the existing levels of global aerosol loading. This project builds on our aerosol and chemistry expertise to address each of these uncertainties in a more quantitative fashion than is currently possible. With the current LDRD support, we are in the process to implement an aerosol microphysics module into our global chemistry model to more fundamentally and completely describe the processes that determine the distribution of atmospheric aerosols. Using this new modeling capability, in conjunction with the most current version of NCAR climate model, we will examine the influence of these processes on aerosol direct and indirect climate forcing.
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摘要 :
One of the largest uncertainties in simulations of climate change over the industrial period is the impact of anthropogenic aerosols on the Earth's radiation budget. Much of this uncertainty arises from the limited capability for ...
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One of the largest uncertainties in simulations of climate change over the industrial period is the impact of anthropogenic aerosols on the Earth's radiation budget. Much of this uncertainty arises from the limited capability for either precisely linking precursor gases to the formation and size distribution of the aerosols or quantitatively describing the existing levels of global aerosol loading. This project builds on our aerosol and chemistry expertise to address each of these uncertainties in a more quantitative fashion than is currently possible. With the current LDRD support, we are in the process to implement an aerosol microphysics module into our global chemistry model to more fundamentally and completely describe the processes that determine the distribution of atmospheric aerosols. Using this new modeling capability, in conjunction with the most current version of NCAR climate model, we will examine the influence of these processes on aerosol direct and indirect climate forcing.
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