气候变化领域集成服务门户(CCPortal): Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation

CCPortal

DOI	10.5194/hess-22-4605-2018
	Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation
	Gevaert A.I.; Renzullo L.J.; Van Dijk A.I.J.M.; Van Der Woerd H.J.; Weerts A.H.; De Jeu R.A.M.
发表日期	2018
ISSN	1027-5606
起始页码	4605
结束页码	4619
卷号	22 期号:9
英文摘要	Soil moisture affects the partitioning of water and energy and is recognized as an essential climate variable. Soil moisture estimates derived from passive microwave remote sensing can improve model estimates through data assimilation, but the relative effectiveness of microwave retrievals in different frequencies is unclear. Land Parameter Retrieval Model (LPRM) satellite soil moisture derived from L-, C-, and X-band frequency remote sensing were assimilated in the Australian Water Resources Assessment landscape hydrology model (AWRA-L) using an ensemble Kalman filter approach. Two sets of experiments were performed. First, each retrieval was assimilated individually for comparison. Second, each possible combination of two retrievals was assimilated jointly. Results were evaluated against field-measured top-layer and root-zone soil moisture at 24 sites across Australia. Assimilation generally improved the coefficient of correlation (r) between modeled and field-measured soil moisture. L-and X-band retrievals were more informative than C-band retrievals, improving r by an average of 0.11 and 0.08 compared to 0.04, respectively. Although L-band retrievals were more informative for top-layer soil moisture in most cases, there were exceptions, and L-and X-band were equally informative for root-zone soil moisture. The consistency between L-and X-band retrievals suggests that they can substitute for each other, for example when transitioning between sensors and missions. Furthermore, joint assimilation of retrievals resulted in a model performance that was similar to or better than assimilating either retrieval individually. Comparison of model estimates obtained with global precipitation data and with higher-quality, higher-resolution regional data, respectively, demonstrated that precipitation data quality does determine the overall benefit that can be expected from assimilation. Further work is needed to assess the potentially complementary spatial information that can be derived from retrievals from different frequencies. © 2018 Author(s).
语种	英语
scopus关键词	Frequency estimation; Precipitation (meteorology); Remote sensing; Soil moisture; Water resources; Australian water resources assessments; Coefficient of correlation; Ensemble Kalman Filter; Global precipitation; Passive microwave remote sensing; Root zone soil moistures; Satellite soil moisture; Spatial informations; Soil surveys; data assimilation; data quality; detection method; hydrological modeling; Kalman filter; remote sensing; satellite mission; satellite sensor; soil moisture; Australia
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/159926
作者单位	Gevaert, A.I., Earth and Climate Cluster, Department of Earth Sciences, VU University Amsterdam, Amsterdam, Netherlands; Renzullo, L.J., Fenner School of Environment and Society, Australia National University, Canberra, Australia; Van Dijk, A.I.J.M., Fenner School of Environment and Society, Australia National University, Canberra, Australia; Van Der Woerd, H.J., Institute for Environmental Studies (IVM), VU University Amsterdam, Amsterdam, Netherlands; Weerts, A.H., Deltares, Delft, Netherlands, Department of Environmental Sciences, Wageningen University, Wageningen, Netherlands; De Jeu, R.A.M., VanderSat B.V., Haarlem, Netherlands
推荐引用方式 GB/T 7714	Gevaert A.I.,Renzullo L.J.,Van Dijk A.I.J.M.,et al. Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation[J],2018,22(9).
APA	Gevaert A.I.,Renzullo L.J.,Van Dijk A.I.J.M.,Van Der Woerd H.J.,Weerts A.H.,&De Jeu R.A.M..(2018).Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation.Hydrology and Earth System Sciences,22(9).
MLA	Gevaert A.I.,et al."Joint assimilation of soil moisture retrieved from multiple passive microwave frequencies increases robustness of soil moisture state estimation".Hydrology and Earth System Sciences 22.9(2018).