气候变化领域集成服务门户(CCPortal): Evaluation of soil moisture from CCAM-CABLE simulation; satellite-based models estimates and satellite observations: A case study of Skukuza and Malopeni flux towers

CCPortal

DOI	10.5194/hess-24-1587-2020
	Evaluation of soil moisture from CCAM-CABLE simulation; satellite-based models estimates and satellite observations: A case study of Skukuza and Malopeni flux towers
	Vukosi Khosa F.; Jacob Mateyisi M.; Reynita Van Der Merwe M.; Timothy Feig G.; Alwyn Engelbrecht F.; John Savage M.
发表日期	2020
ISSN	1027-5606
起始页码	1587
结束页码	1609
卷号	24 期号:4
英文摘要	Reliable estimates of daily, monthly and seasonal soil moisture are useful in a variety of disciplines. The availability of continuous in situ soil moisture observations in southern Africa barely exists; hence, process-based simulation model outputs are a valuable source of climate information, needed for guiding farming practices and policy interventions at various spatio-temporal scales. The aim of this study is to evaluate soil moisture outputs from simulated and satellite-based soil moisture products, and to compare modelled soil moisture across different landscapes. The simulation model consists of a global circulation model known as the conformal-cubic atmospheric model (CCAM), coupled with the CSIRO Atmosphere Biosphere Land Exchange model (CABLE). The satellite-based soil moisture data products include satellite observations from the European Space Agency (ESA) and satellite-observation-based model estimates from the Global Land Evaporation Amsterdam Model (GLEAM). The evaluation is done for both the surface (0-10 cm) and root zone (10-100 cm) using in situ soil moisture measurements collected from two study sites. The results indicate that both the simulation- and satellite-derived models produce outputs that are higher in magnitude range compared to in situ soil moisture observations at the two study sites, especially at the surface. The correlation coefficient ranges from 0.7 to 0.8 (at the root zone) and 0.7 to 0.9 (at the surface), suggesting that models mostly are in an acceptable phase agreement at the surface than at the root zone, and this was further confirmed by the root mean squared error and the standard deviation values. The models mostly show a bias towards overestimation of the observed soil moisture at both the surface and root zone, with the CCAM-CABLE showing the least bias. An analysis evaluating phase agreement using the cross-wavelet analysis has shown that, despite the models' outputs being in phase with the in situ observations, there are time lags in some instances. An analysis of soil moisture mutual information (MI) between CCAM-CABLE and the GLEAM models has successfully revealed that both the simulation and model estimates have a high MI at the root zone as opposed to the surface. The MI mostly ranges between 0.5 and 1.5 at both the surface and root zone. The MI is predominantly high for low-lying relative to high-lying areas. © 2020 BMJ Publishing Group. All rights reserved.
语种	英语
scopus关键词	Cables; Climate models; Mean square error; Satellites; Soil moisture; Correlation coefficient; Cross-wavelet analysis; European Space Agency; Global circulation model; Root mean squared errors; Satellite observations; Simulation and modeling; Spatio-temporal scale; Soil surveys; agricultural policy; agricultural practice; atmosphere-biosphere interaction; atmospheric modeling; error analysis; estimation method; observational method; satellite data; soil moisture; spatiotemporal analysis; wavelet analysis; South Africa
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159454
作者单位	Vukosi Khosa, F., CSIR, Natural Resources and the Environment - Global Change and Ecosystem Dynamics, P.O. Box 395, Pretoria, 0001, South Africa, Agrometeorology Discipline, School of Agricultural Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, 3201, South Africa; Jacob Mateyisi, M., CSIR, Natural Resources and the Environment - Global Change and Ecosystem Dynamics, P.O. Box 395, Pretoria, 0001, South Africa; Reynita Van Der Merwe, M., CSIR, Natural Resources and the Environment - Global Change and Ecosystem Dynamics, P.O. Box 395, Pretoria, 0001, South Africa; Timothy Feig, G., CSIR, Natural Resources and the Environment - Global Change and Ecosystem Dynamics, P.O. Box 395, Pretoria, 0001, South Africa, Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Pretoria, 0028, South Africa, South African Environmental Observation Network (SAEON), P.O. Box 2600, Pretoria, 0001, South Africa; Alwyn Engelbrecht, F., CSIR, Natural Resources and the Envir...
推荐引用方式 GB/T 7714	Vukosi Khosa F.,Jacob Mateyisi M.,Reynita Van Der Merwe M.,et al. Evaluation of soil moisture from CCAM-CABLE simulation; satellite-based models estimates and satellite observations: A case study of Skukuza and Malopeni flux towers[J],2020,24(4).
APA	Vukosi Khosa F.,Jacob Mateyisi M.,Reynita Van Der Merwe M.,Timothy Feig G.,Alwyn Engelbrecht F.,&John Savage M..(2020).Evaluation of soil moisture from CCAM-CABLE simulation; satellite-based models estimates and satellite observations: A case study of Skukuza and Malopeni flux towers.Hydrology and Earth System Sciences,24(4).
MLA	Vukosi Khosa F.,et al."Evaluation of soil moisture from CCAM-CABLE simulation; satellite-based models estimates and satellite observations: A case study of Skukuza and Malopeni flux towers".Hydrology and Earth System Sciences 24.4(2020).