Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR024658 |
Assimilation of High-Resolution Soil Moisture Data Into an Integrated Terrestrial Model for a Small-Scale Head-Water Catchment | |
Gebler, S.1,2,3; Kurtz, W.1,2,4; Pauwels, V. R. N.5; Kollet, S. J.1,2; Vereecken, H.1,2; Franssen, H-J Hendricks1,2 | |
2019-12-10 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:10358-10385 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; Australia |
英文摘要 | Land surface-subsurface modeling combined with data assimilation was applied on the Rollesbroich hillslope (Germany). Dense information from a soil moisture sensor network was assimilated with the ensemble Kalman filter applying different scenarios including the update of model states with or without updating of saturated soil hydraulic conductivity on an ensemble size of 128 (or 256) realizations with 3-D heterogeneous fields of Mualem-van Genuchten parameters. Simulations were also carried out with a synthetic test case mimicking the Rollesbroich site, to get more insight in the role of model structural errors. The combination of joint updating of model states and hydraulic conductivity was more efficient in updating the soil water content than state updating alone for the real-world case. On average, the root-mean-square error at the sensor locations was reduced by 14% if states and parameters were updated jointly, but discharge estimation was not improved significantly. Synthetic simulations showed much better results with an overall root-mean-square error reduction by 55% at independent verification locations in case of daily soil water content data assimilation including parameter estimation. Individual synthetic data assimilation scenarios with parameter estimation showed an increase of the Nash-Sutcliffe-Efficiency for discharge from -0.04 for the open loop run to 0.61. This shows that data assimilation in combination with high-resolution physically based models can strongly improve soil moisture and discharge estimation at the hillslope scale. Large performance differences between synthetic and real-world experiments indicated the limits of such an approach associated with model structural errors like errors in the prior geostatistical parameters. |
英文关键词 | integrated terrestrial model data assimilation hillslope soil water content Ensemble Kalman Filter |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000501839000001 |
WOS关键词 | ENSEMBLE KALMAN FILTER ; LAND-SURFACE ; HYDRAULIC PARAMETERS ; BOUNDARY-CONDITION ; FLOW ; VARIABILITY ; SYSTEM ; PERMEABILITY ; PARALLEL ; PATTERNS |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223962 |
专题 | 资源环境科学 |
作者单位 | 1.Forschungszentrum Julich, Agrosphere Inst IBG 3, Julich, Germany; 2.Forschungszentrum Julich, Ctr High Performance Sci Comp Terr Syst HPSC Terr, Julich, Germany; 3.BASF SE, Agr Solut Global Environm Fate Modelling, Limburgerhof, Germany; 4.Bavarian Acad Sci & Humanities, Leibniz Supercomp Ctr, Garching, Germany; 5.Monash Univ, Dept Civil Engn, Clayton, Vic, Australia |
推荐引用方式 GB/T 7714 | Gebler, S.,Kurtz, W.,Pauwels, V. R. N.,et al. Assimilation of High-Resolution Soil Moisture Data Into an Integrated Terrestrial Model for a Small-Scale Head-Water Catchment[J]. WATER RESOURCES RESEARCH,2019,55(12):10358-10385. |
APA | Gebler, S.,Kurtz, W.,Pauwels, V. R. N.,Kollet, S. J.,Vereecken, H.,&Franssen, H-J Hendricks.(2019).Assimilation of High-Resolution Soil Moisture Data Into an Integrated Terrestrial Model for a Small-Scale Head-Water Catchment.WATER RESOURCES RESEARCH,55(12),10358-10385. |
MLA | Gebler, S.,et al."Assimilation of High-Resolution Soil Moisture Data Into an Integrated Terrestrial Model for a Small-Scale Head-Water Catchment".WATER RESOURCES RESEARCH 55.12(2019):10358-10385. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论