DOI: 10.5194/hess-19-615-2015
Scopus记录号: 2-s2.0-84922032700
论文题名: Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: A study in the Heihe Catchment, China
作者: Han X ; , Franssen H ; -J ; H ; , Rosolem R ; , Jin R ; , Li X ; , Vereecken H
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 1 起始页码: 615
结束页码: 629
语种: 英语
Scopus关键词: Atmospheric temperature
; Catchments
; Cosmic ray measurement
; Cosmology
; Image reconstruction
; Information management
; Irrigation
; Moisture
; Moisture determination
; Moisture meters
; Neutrons
; Radiometers
; Rain
; Remote sensing
; Satellite imagery
; Sea level
; Soil moisture
; Soil surveys
; Soils
; Surface measurement
; Surface properties
; Systematic errors
; Water management
; Assimilation procedure
; Community land models
; Experimental research
; Land surface temperature
; Moderate resolution imaging spectroradiometer
; Soil moisture estimation
; Soil moisture measurement
; Soil moisture sensing
; Cosmic rays
; agricultural soil
; cosmic ray
; data assimilation
; error analysis
; evapotranspiration
; Kalman filter
; land surface
; leaf area index
; MODIS
; soil moisture
; China
; China
; Gansu
; Heihe Basin
; Zea mays
英文摘要: The recent development of the non-invasive cosmic-ray soil moisture sensing technique fills the gap between point-scale soil moisture measurements and regional-scale soil moisture measurements by remote sensing. A cosmic-ray probe measures soil moisture for a footprint with a diameter of ∼ 600 m (at sea level) and with an effective measurement depth between 12 and 76 cm, depending on the soil humidity. In this study, it was tested whether neutron counts also allow correcting for a systematic error in the model forcings. A lack of water management data often causes systematic input errors to land surface models. Here, the assimilation procedure was tested for an irrigated corn field (Heihe Watershed Allied Telemetry Experimental Research-HiWATER, 2012) where no irrigation data were available as model input although for the area a significant amount of water was irrigated. In the study, the measured cosmic-ray neutron counts and Moderate-Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) products were jointly assimilated into the Community Land Model (CLM) with the local ensemble transform Kalman filter. Different data assimilation scenarios were evaluated, with assimilation of LST and/or cosmic-ray neutron counts, and possibly parameter estimation of leaf area index (LAI). The results show that the direct assimilation of cosmic-ray neutron counts can improve the soil moisture and evapotranspiration (ET) estimation significantly, correcting for lack of information on irrigation amounts. The joint assimilation of neutron counts and LST could improve further the ET estimation, but the information content of neutron counts exceeded the one of LST. Additional improvement was achieved by calibrating LAI, which after calibration was also closer to independent field measurements. It was concluded that assimilation of neutron counts was useful for ET and soil moisture estimation even if the model has a systematic bias like neglecting irrigation. However, also the assimilation of LST helped to correct the systematic model bias introduced by neglecting irrigation and LST could be used to update soil moisture with state augmentation. © 2015 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78618
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Remote Sensing of Gansu Province, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, China; Forschungszentrum Jülich, Agrosphere (IBG 3), Leo-Brandt-Strasse, Jülich, Germany; Centre for High-Performance Scientific Computing in Terrestrial Systems, HPSC TerrSys, Geoverbund ABC/J, Leo-Brandt-Strasse, Jülich, Germany; Department of Civil Engineering, University of Bristol, Bristol, United Kingdom; CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Han X,, Franssen H,-J,et al. Correction of systematic model forcing bias of CLM using assimilation of cosmic-ray Neutrons and land surface temperature: A study in the Heihe Catchment, China[J]. Hydrology and Earth System Sciences,2015-01-01,19(1)