气候变化领域集成服务门户(CCPortal): Uncertainty estimates for sea surface temperature and land surface air temperature in NoAaglobalTeMp version 5

CCPortal

DOI	10.1175/JCLI-D-19-0395.1
	Uncertainty estimates for sea surface temperature and land surface air temperature in NoAaglobalTeMp version 5
	Huang B.; Menne M.J.; Boyer T.; Freeman E.; Gleason B.E.; Lawrimore J.H.; Liu C.; Jared Rennie J.; Schreck C.J.; III; Sun F.; Vose R.; Williams C.N.; Yin X.; Zhang H.-M.
发表日期	2020
ISSN	0894-8755
起始页码	1351
结束页码	1379
卷号	33 期号:4
英文摘要	This analysis estimates uncertainty in the NOAA global surface temperature (GST) version 5 (NOAAGlobalTemp v5) product, which consists of sea surface temperature (SST) from the Extended Reconstructed SST version 5 (ERSSTv5) and land surface air temperature (LSAT) from the Global Historical Climatology Network monthly version 4 (GHCNm v4). Total uncertainty in SST and LSAT consists of parametric and reconstruction uncertainties. The parametric uncertainty represents the dependence of SST/LSAT reconstructions on selecting 28 (6) internal parameters of SST (LSAT), and is estimated by a 1000-member ensemble from 1854 to 2016. The reconstruction uncertainty represents the residual error of using a limited number of 140 (65) modes for SST (LSAT). Uncertainty is quantified at the global scale as well as the local grid scale. Uncertainties in SST and LSAT at the local grid scale are larger in the earlier period (1880s–1910s) and during the two world wars due to sparse observations, then decrease in the modern period (1950s–2010s) due to increased data coverage. Uncertainties in SST and LSAT at the global scale are much smaller than those at the local grid scale due to error cancellations by averaging. Uncertainties are smaller in SST than in LSAT due to smaller SST variabilities. Comparisons show that GST and its uncertainty in NOAAGlobalTemp v5 are comparable to those in other internationally recognized GST products. The differences between NOAAGlobalTemp v5 and other GST products are within their uncertainties at the 95% confidence level. © 2020 American Meteorological Society.
英文关键词	Atmospheric temperature; Land surface temperature; Oceanography; Submarine geophysics; Surface measurement; Surface properties; Surface waters; Global historical climatology network; Global surface temperature; Internal parameters; Land surface air temperatures; Parametric uncertainties; Sea surface temperature (SST); Total uncertainties; Uncertainty estimates; Uncertainty analysis; air temperature; estimation method; land surface; NOAA satellite; sea surface temperature; uncertainty analysis
语种	英语
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/171453
作者单位	NOAA/National Centers for Environmental Information (NCEI), Asheville, NC, United States; Riverside inc., NOAA/NCEI), Asheville, NC, United States; Cooperative Institute for Climate and Satellites, North Carolina State University, Asheville, NC, United States
推荐引用方式 GB/T 7714	Huang B.,Menne M.J.,Boyer T.,et al. Uncertainty estimates for sea surface temperature and land surface air temperature in NoAaglobalTeMp version 5[J],2020,33(4).
APA	Huang B..,Menne M.J..,Boyer T..,Freeman E..,Gleason B.E..,...&Zhang H.-M..(2020).Uncertainty estimates for sea surface temperature and land surface air temperature in NoAaglobalTeMp version 5.Journal of Climate,33(4).
MLA	Huang B.,et al."Uncertainty estimates for sea surface temperature and land surface air temperature in NoAaglobalTeMp version 5".Journal of Climate 33.4(2020).