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Qing Liu, Rolf H. Reichle, Rajat Bindlish, Michael H. Cosh, Wade T. Crow, Richard de Jeu, Gabrielle J. M. De Lannoy, George J. Huffman, and Thomas J. Jackson

, we used retrievals based on X-band brightness temperatures from ascending and descending overpasses. We also repeated our analysis with LPRM retrievals based on C-band brightness temperatures (not discussed here) and reached the same general conclusions. Quality control prior to data assimilation was based on information provided along with the AMSR-E observations and information from the land model. Specifically, we assimilated only NSIDC retrievals that were flagged for light and moderate

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Paul A. Dirmeyer

well as PILPS and other land model intercomparison endeavors. An Intercomparison Center (ICC) was again set up at the University of Tokyo, where model output was submitted and basic quality control tests were performed. This is also the site where model output was shared. The forcing and parameter datasets were served from three sites—one in Japan, one in France, and one in the United States—using the Open-Source Project for a Network Data Access Protocol (OpenDAP) data sharing convention

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Yadu Pokhrel, Naota Hanasaki, Sujan Koirala, Jaeil Cho, Pat J.-F. Yeh, Hyungjun Kim, Shinjiro Kanae, and Taikan Oki

the applicability of a newly developed irrigation scheme for use in advanced LSMs. This paper describes the development, evaluation, and an application of the integrated model. The data used in this modeling study and the development of the integrated model are described in sections 2 and 3 , respectively. Section 4 presents model evaluation and the analysis of irrigation-induced changes on surface energy balance. In section 5 , an application of the integrated model in simulating water

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Minseok Kang, Hyojung Kwon, Jung Hwa Cheon, and Joon Kim

–span calibrations and was manually calibrated on a weekly to biweekly basis for H 2 O and CO 2 zero–span calibrations. We used the data of the H 2 O concentration and air temperature at 40 m from the profile system because of their reliability with regular calibrations and robust operation in rainy conditions. c. Data processing, quality control, and gap filling The eddy covariance data were processed, quality controlled, and then gap filled using the standardized KoFlux protocol ( Hong et al. 2009 ). The

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Tosiyuki Nakaegawa

show similar features in quality when compared to GLWD and generate a cluster. The GLWD was primarily developed by compiling multiple datasets in addition to the satellite-based observations as mentioned above, and it should be considered as a comprehensive dataset. The GLWD has much more accurate agreement with ground-truth data than satellite-based land cover datasets ( Frey and Smith 2007 ). Therefore, the GLWD may be considered to be the best 1-km global water-related land cover dataset

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Akihiko Ito and Motoko Inatomi

return on water invested . Ambio , 39 , 30 – 39 . Oki, T. , and Kanae S. , 2006 : Global hydrological cycles and world water resources . Science , 313 , 1068 – 1072 . Olson, J. S. , Watts J. A. , and Allison L. J. , 1983 : Carbon in live vegetation of major world ecosystems. Oak Ridge National Laboratory Environmental Sciences Division Publication 1997, ORNL-5862, 164 pp . Peel, M. C. , and McMahon T. A. , 2006 : Continental runoff: A quality-controlled global runoff data set

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Sante Laviola, Agata Moscatello, Mario Marcello Miglietta, Elsa Cattani, and Vincenzo Levizzani

large-scale circulation was published by Chaboureau and Claud (2006) based on satellite data. More recently, Levizzani et al. (2010) have carried out a 10-yr study on the span, duration, and phase speed of propagating cloud systems in the warm season over the Mediterranean using half-hourly Meteorological Satellite (Meteosat) infrared data. a. Intense Mediterranean cyclones Mediterranean storms are often characterized by heavy precipitation, intense wind shear, and deep atmospheric lows, and

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