Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017WR021074 |
The impact of conventional space-time aggregation on the dynamics of continuous-time rainfall | |
Sansom, John1; Bulla, Jan2; Carey-Smith, Trevor1; Thomson, Peter3 | |
2017-09-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2017 |
卷号 | 53期号:9 |
文章类型 | Article |
语种 | 英语 |
国家 | New Zealand; Norway |
英文摘要 | Rainfall is a continuous-time phenomenon typically characterized by precipitation states such as rain, showers, and dry whose dependence varies over a variety of space-time scales. Here attention is focused on the effective identification of rain and shower precipitation states over a region where these states have been determined by a hidden semi-Markov model of continuous-time precipitation. The states identified provide an accurate description of precipitation dynamics and can be regarded as close proxies to synoptic weather types of the same name. The stochastic properties and structure of these states (rather than precipitation amounts) are explored and delineated. A primary objective of the paper is to better understand the impact of conventional space-time aggregation on the dynamics of rainfall. What aggregation time scales result in more faithful descriptions of the space-time dynamics of continuous-time rainfall? While rain might be expected to be more spatially coherent than showers and involve longer time scales, dry periods involve much longer time and space scales again than either rain or showers. These issues are discussed and conclusions drawn which provide guidance and insights useful for the development of space-time precipitation models and, more generally, the design of rainfall observation networks and data archives. Plain Language Summary The main objective of this paper is to better understand how the dynamics of continuous-time rainfall are preserved after aggregation into more conventional time periods (minutes, hours, or days). What aggregation time scales result in the most faithful descriptions of the space-time dynamics of various rainfall types (e.g., showers, rain, or dry periods)? While rain may be more spatially coherent than showers and involve longer time scales, dry periods involve even greater time and space scales than either rain or showers. These scale issues are addressed using a statistical model of continuous-time rainfall and, in so doing, this paper provides guidance and insights useful for the development of space-time precipitation models and, more generally, the design of rainfall observation networks and data archives. |
英文关键词 | continuous-time breakpoint rainfall data space-time dependence space-time precipitation scales |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000413484200004 |
WOS关键词 | HIDDEN MARKOV MODEL ; BREAKPOINT DATA ; NEW-ZEALAND ; SPATIAL VARIABILITY ; PRECIPITATION ; RESOLUTION ; GENERATION ; CHINA |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20135 |
专题 | 资源环境科学 |
作者单位 | 1.Natl Inst Water & Atmospher Res, Wellington, New Zealand; 2.Univ Bergen, Bergen, Norway; 3.Stat Res Associates Ltd, Wellington, New Zealand |
推荐引用方式 GB/T 7714 | Sansom, John,Bulla, Jan,Carey-Smith, Trevor,et al. The impact of conventional space-time aggregation on the dynamics of continuous-time rainfall[J]. WATER RESOURCES RESEARCH,2017,53(9). |
APA | Sansom, John,Bulla, Jan,Carey-Smith, Trevor,&Thomson, Peter.(2017).The impact of conventional space-time aggregation on the dynamics of continuous-time rainfall.WATER RESOURCES RESEARCH,53(9). |
MLA | Sansom, John,et al."The impact of conventional space-time aggregation on the dynamics of continuous-time rainfall".WATER RESOURCES RESEARCH 53.9(2017). |
条目包含的文件 | 条目无相关文件。 |
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