DOI: 10.5194/hess-21-357-2017
Scopus记录号: 2-s2.0-85010380365
论文题名: Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula
作者: Barella-Ortiz A ; , Polcher J ; , De Rosnay P ; , Piles M ; , Gelati E
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 1 起始页码: 357
结束页码: 375
语种: 英语
Scopus关键词: Atmospheric humidity
; Orthogonal functions
; Radiative transfer
; Radiometry
; Remote sensing
; Soil moisture
; Temperature
; Brightness temperatures
; Empirical orthogonal function analysis
; Land surface models
; Radiative transfer model
; Retrieval algorithms
; Spatial correlations
; Surface soil moisture
; Temporal evolution
; Luminance
; algorithm
; brightness temperature
; comparative study
; empirical orthogonal function analysis
; radiative transfer
; radiometric survey
; seasonality
; SMOS
; soil moisture
; spatial analysis
; surface temperature
; Iberian Peninsula
英文摘要: L-band radiometry is considered to be one of the most suitable techniques to estimate surface soil moisture (SSM) by means of remote sensing. Brightness temperatures are key in this process, as they are the main input in the retrieval algorithm which yields SSM estimates. The work exposed compares brightness temperatures measured by the SMOS mission to two different sets of modelled ones, over the Iberian Peninsula from 2010 to 2012. The two modelled sets were estimated using a radiative transfer model and state variables from two land-surface models: (i) ORCHIDEE and (ii) H-TESSEL. The radiative transfer model used is the CMEM. Measured and modelled brightness temperatures show a good agreement in their temporal evolution, but their spatial structures are not consistent. An empirical orthogonal function analysis of the brightness temperature's error identifies a dominant structure over the south-west of the Iberian Peninsula which evolves during the year and is maximum in autumn and winter. Hypotheses concerning forcing-induced biases and assumptions made in the radiative transfer model are analysed to explain this inconsistency, but no candidate is found to be responsible for the weak spatial correlations at the moment. Further hypotheses are proposed and will be explored in a forthcoming paper. The analysis of spatial inconsistencies between modelled and measured TBs is important, as these can affect the estimation of geophysical variables and TB assimilation in operational models, as well as result in misleading validation studies. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79290
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Laboratoire de Météorologie Dynamique, CNRS, IPSL, École Polytechnique, Université Paris-Saclay, France; European Centre for Medium-Range Weather Forecasts, Reading, United Kingdom; Barcelona Expert Center, Institute of Marine Sciences, CSIC, Pg. Marítim de la Barceloneta 37-49, Barcelona, Spain; CNRM-GAME (Météo-France, CNRS), Toulouse, France; Image Processing Lab (IPL), Universitat de València, C/Catedrático José Beltran 2, Valencia, Spain
Recommended Citation:
Barella-Ortiz A,, Polcher J,, De Rosnay P,et al. Comparison of measured brightness temperatures from SMOS with modelled ones from ORCHIDEE and H-TESSEL over the Iberian Peninsula[J]. Hydrology and Earth System Sciences,2017-01-01,21(1)