Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5857 |
Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States | |
Mehdipoor, Hamed1; Zurita-Milla, Raul1; Izquierdo-Verdiguier, Emma1; Betancourt, Julio L.2,3 | |
2018-11-30 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2018 |
卷号 | 38期号:14页码:5430-5440 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; USA |
英文摘要 | Gridded time series of climatic variables are key inputs to phenological models used to generate spatially continuous indices and explore the influence of climate variability and change on plant development at broad scales. To date, there have been few efforts to evaluate how the particular source and spatial resolution (i.e., scale) of the input data might affect how phenological models and associated indices track variations and shifts at the continental scale. This study represents the first such assessment, based on cloud computing and volunteered phenological observations. It focuses on established extended spring indices (SI-x) that estimate day of year (DOY) for first leaf (FL) emergence and first bloom (FB) emergence in plants particularly sensitive to accumulation of warmth in early to mid-spring. We compared and validated gridded SI-x products obtained using Daymet (at 1, 4, 35, and 100 km spatial resolution) and gridMET (at 4, 35, and 100 km) temperature data. These products were used to estimate temporal trends in DOY for FL and FB in the coterminous United States (CONUS) from 1980 to 2016. The SI-x products, and their resulting patterns and trends across CONUS, affected more by the source of input data than their spatial resolution. SI-x estimates DOY of FL and FB are about 3 and 4 weeks more accurate, respectively, using Daymet than gridMET. This leads to significant differences, and even contradictory, rates of change in DOY driven by Daymet versus gridMET temperatures, even though both data sources exhibit advancement in DOY of FL and FB across most regions in CONUS. SI-x products generated from gridMET poorly estimate the timing of spring onset, whereas Daymet SI-x products and actual volunteered observations are moderately correlated (r = 0.7). Daymet better captures temperature regimes, particularly in the western United States, and is more appropriate for generating high-resolution SI-x indices at continental scale. |
英文关键词 | climate change cloud computing gridded time series analysis scale theory spatio-temporal trend analysis spring phenology volunteered geographic information |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000452430000026 |
WOS关键词 | CLIMATE-CHANGE ; PHENOLOGY ; SHIFTS ; SENSITIVITY ; PREDICTION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
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/36973 |
专题 | 气候变化 |
作者单位 | 1.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands; 2.US Geol Survey, Sci & Decis Ctr, 959 Natl Ctr, Reston, VA 22092 USA; 3.Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA |
推荐引用方式 GB/T 7714 | Mehdipoor, Hamed,Zurita-Milla, Raul,Izquierdo-Verdiguier, Emma,et al. Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2018,38(14):5430-5440. |
APA | Mehdipoor, Hamed,Zurita-Milla, Raul,Izquierdo-Verdiguier, Emma,&Betancourt, Julio L..(2018).Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(14),5430-5440. |
MLA | Mehdipoor, Hamed,et al."Influence of source and scale of gridded temperature data on modelled spring onset patterns in the conterminous United States".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.14(2018):5430-5440. |
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