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Gabriëlle J. M. De Lannoy, Rolf H. Reichle, and Valentijn R. N. Pauwels

. Successful use of satellite Tb observations in a soil moisture and soil temperature analysis system requires an accurate and unbiased model of the microwave radiative transfer processes. Examples of radiative transfer models (RTMs) include the Land Parameter Retrieval Model (LPRM; Owe et al. 2008 ), the Land Surface Microwave Emission Model (LSMEM; Drusch et al. 2001 ) and the L-band Microwave Emission of the Biosphere model (L-MEB; Wigneron et al. 2007 ). The Community Microwave Emission Modeling

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Chiara Corbari and Marco Mancini

evapotranspiration fluxes (ET)]. In this way there is the opportunity to increase control points of evapotranspiration so that its accuracy can be improved. Satellite data for their intrinsic nature of spatially distributed information can be used for the internal calibration/validation of distributed hydrological models in each pixel of the domain. This can be achieved with hydrologic modeling based on energy and water balance algorithms in conjunction with remote sensing data, in particular of land surface

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Haolu Shang, Li Jia, and Massimo Menenti

developed and applied to time series of satellite observations, for example, NDVI and land surface temperature, to study vegetation phenology and land surface climate ( Alfieri et al. 2013 ; Jia et al. 2011 ; Julien et al. 2006 ; Menenti et al. 1993 , 2010 ; Moody and Johnson 2001 ; Roerink et al. 2000 , 2003 ; Verhoef 1996 ). Different from the FFT by using all observations regardless of quality, the HANTS identifies and removes outliers in data samples. We aimed at evaluating its applicability

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Gift Dumedah and Jeffrey P. Walker

particular, the assessment of model parameter convergence across several assimilation time steps can provide the potential to retrieve variables that are not directly observed. This study examines the contributions of model parameter convergence to overall performance of the EnKF and the evolutionary data assimilation (EDA) approaches, through estimation of soil moisture using the Joint UK Land Environment Simulator (JULES) in the Yanco area located in southeast Australia. The EnKF and EDA methods were

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Junchao Shi, Massimo Menenti, and Roderik Lindenbergh

longevity. The receiver on GLAS records the echo waveform in 200 bins over sea and 544 (1000) bins over land, depending on which of the two lasers is used, with a beam width of ~110 μ rad and a pulse rate of 40 s −1 ( Kwok et al. 2006 ). The ICESat/GLAS data used in this study were acquired within campaign L2A (September–November 2003), L2B (February–March 2004), L2C (May–June 2004), and L3A (October–November 2004). Among 15 GLAS data products, we investigate the products of Level 1A raw data and

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Donghai Zheng, Rogier van der Velde, Zhongbo Su, Martijn J. Booij, Arjen Y. Hoekstra, and Jun Wen

main components of land cover, and they have a height of 15 cm during summers and about 5 cm during winters. The Maqu station is equipped with a micrometeorological observation system and a combined soil moisture and soil temperature monitoring network. The data used in this study have been collected at the micrometeorological observation system from 20 May 2009 to 17 May 2010. The episodes with snow on the ground are excluded by using only the data records for which the observed albedo attains the

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Mustafa Gokmen, Zoltan Vekerdy, Maciek W. Lubczynski, Joris Timmermans, Okke Batelaan, and Wouter Verhoef

estimated by multiplying the average daily ET by 15, considering that 1) the maximum available cloud-free data were rarely above 15 unlike the other months and 2) occasions of day long cloud-casting or inversions that minimize evaporation were more common in winter months due to dominance of frontal weather systems and continental climate. Fig . 4. Input data for SEBS-SM and flowchart of aggregating ET. To retrieve the necessary input parameters for SEBS-SM, we used MODIS land products ( https

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Rafael Pimentel, Javier Herrero, Yijian Zeng, Zhongbo Su, and María J. Polo

evolution is made by using simple empirical relationships between the snowmelt flux and selected meteorological variables ( Kustas et al. 1994 ). However, in these areas, the marked annual, seasonal, and even weekly variability of temperature, wind, and rainfall make this a difficult approach to apply in practice, and energy and mass balance equations are usually needed to capture these highly variable conditions ( Anderson 1976 ). Many physically based point models for the mass and energy balance in

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