气候变化领域集成服务门户(CCPortal): Conserving land-atmosphere synthesis suite (CLASS)

CCPortal

DOI	10.1175/JCLI-D-19-0036.1
	Conserving land-atmosphere synthesis suite (CLASS)
	Hobeichi S.; Abramowitz G.; Evans J.
发表日期	2020
ISSN	0894-8755
起始页码	1821
结束页码	1844
卷号	33 期号:5
英文摘要	Accurate estimates of terrestrial water and energy cycle components are needed to better understand climate processes and improve models' ability to simulate future change. Various observational estimates are available for the individual budget terms; however, these typically show inconsistencies when combined in a budget. In this work, a Conserving Land-Atmosphere Synthesis Suite (CLASS) of estimates of simultaneously balanced surface water and energy budget components is developed. Individual CLASS variable datasets, where possible, 1) combine a range of existing variable product estimates, and hence overcome the limitations of estimates from a single source; 2) are observationally constrained with in situ measurements; 3) have uncertainty estimates that are consistent with their agreement with in situ observations; and 4) are consistent with each other by being able to solve the water and energy budgets simultaneously. First, available datasets of a budget variable are merged by implementing a weighting method that accounts both for the ability of datasets to match in situ measurements and the error covariance between datasets. Then, the budget terms are adjusted by applying an objective variational data assimilation technique (DAT) that enforces the simultaneous closure of the surface water and energy budgets linked through the equivalence of evapotranspiration and latent heat. Comparing component estimates before and after applying the DAT against in situ measurements of energy fluxes and streamflow showed that modified estimates agree better with in situ observations across various metrics, but also revealed some inconsistencies between water budget terms in June over the higher latitudes. © 2020 American Meteorological Society.
英文关键词	Climate change; Climate models; Surface waters; Uncertainty analysis; Climate process; Error covariances; Higher latitudes; In-situ measurement; In-situ observations; Uncertainty estimates; Variational data assimilation; Water and energies; Budget control; atmosphere-biosphere interaction; energy budget; energy flux; evapotranspiration; latent heat flux; streamflow; surface water; water budget
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/171419
作者单位	Climate Change Research Centre, ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, NSW, Australia
推荐引用方式 GB/T 7714	Hobeichi S.,Abramowitz G.,Evans J.. Conserving land-atmosphere synthesis suite (CLASS)[J],2020,33(5).
APA	Hobeichi S.,Abramowitz G.,&Evans J..(2020).Conserving land-atmosphere synthesis suite (CLASS).Journal of Climate,33(5).
MLA	Hobeichi S.,et al."Conserving land-atmosphere synthesis suite (CLASS)".Journal of Climate 33.5(2020).