| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000434500 |
| 005 | | 20200226154616 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781687954930 |
| 035 | |
▼a (MiAaPQ)AAI22619894 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 551.5 |
| 100 | 1 |
▼a Rahimi, Stefan R. |
| 245 | 10 |
▼a On Understanding and Quantifying Direct, Semi-direct, and Snow Darkening Effects of Black Carbon and Dust on Regional Climate: Experiments Using VR -CESM and WRF-Chem. |
| 260 | |
▼a [S.l.]:
▼b University of Wyoming.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 211 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B. |
| 500 | |
▼a Advisor: Liu, Xiaohong. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Wyoming, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 506 | |
▼a This item must not be added to any third party search indexes. |
| 520 | |
▼a This dissertation reviews a multi-model approach to explore, clarify, and quantify snow darkening effects (SDE) and atmospheric aerosol radiation interactions (ARI) associated with Black Carbon (BC) and dust (BCD collectively) particles. A collection of global and regional climate models are used to constrain the impacts these aerosols have on the surface and top-of-the-atmosphere energy budgets, the water budget, and the general circulation of the atmosphere on regional scales. Specifically, we employ a special global climate model of varying horizontal grid spacing to simulate BCD-induced SDE and ARI impacts on the South-Asian Monsoon (SAM), which serves as a major water resource for one-quarter of the world's population. We then use a regional climate model, coupled to a chemistry mechanism, to simulate BCD SDE and ARI on convective permitting scales across the Rocky Mountains of the western U.S. (WUS) for water year 2009. Before interpreting the weather and climate effects of BCD SDE and ARI, extensive evaluations of model biases in simulated aerosol properties, surface temperature, snow properties, and precipitation are conducted to assess model fidelity. All results are presented in context of biases in simulated meteorology and chemistry. When applicable, simple theoretical frameworks are applied to justify BCD effects. |
| 590 | |
▼a School code: 0264. |
| 650 | 4 |
▼a Atmospheric sciences. |
| 690 | |
▼a 0725 |
| 710 | 20 |
▼a University of Wyoming.
▼b Atmospheric Science. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-04B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0264 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15493666
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |