globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-1587-2020
论文题名:
Evaluation of soil moisture from CCAM-CABLE simulation; satellite-based models estimates and satellite observations: A case study of Skukuza and Malopeni flux towers
作者: Vukosi Khosa F.; Jacob Mateyisi M.; Reynita Van Der Merwe M.; Timothy Feig G.; Alwyn Engelbrecht F.; John Savage M.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:4
起始页码: 1587
结束页码: 1609
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
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.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162744
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


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 Environment - Climate Studies, Modelling and Environmental Health, P.O. Box 395, Pretoria, 0001, South Africa, Global Change Institute (GCI), University of the Witwatersrand, Johannesburg, 2050, South Africa; John Savage, M., Agrometeorology Discipline, School of Agricultural Earth and Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, 3201, South Africa

Recommended Citation:
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]. Hydrology and Earth System Sciences,2020-01-01,24(4)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Vukosi Khosa F.]'s Articles
[Jacob Mateyisi M.]'s Articles
[Reynita Van Der Merwe M.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Vukosi Khosa F.]'s Articles
[Jacob Mateyisi M.]'s Articles
[Reynita Van Der Merwe M.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Vukosi Khosa F.]‘s Articles
[Jacob Mateyisi M.]‘s Articles
[Reynita Van Der Merwe M.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.