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    Evaluation of Minor Losses in Connectors Used in Microirrigation Subunits Using Machine Learning Techniques 

    Source: Journal of Irrigation and Drainage Engineering:;2021:;Volume ( 147 ):;issue: 008:;page 04021032-1
    Author(s): Wagner W. A. Bombardelli; Antonio P. Camargo; Luiz H. A. Rodrigues; José A. Frizzone
    Publisher: ASCE
    Abstract: The proper hydraulic design of microirrigation system subunits requires the characterization of minor losses. To this end, machine learning models based on artificial neural networks [multilayer perceptron (MLP)], support ...
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    Skill and Global Trend Analysis of Soil Moisture from Reanalyses and Microwave Remote Sensing 

    Source: Journal of Hydrometeorology:;2013:;Volume( 014 ):;issue: 004:;page 1259
    Author(s): Albergel, C.; Dorigo, W.; Reichle, R. H.; Balsamo, G.; de Rosnay, P.; Muñoz-Sabater, J.; Isaksen, L.; de Jeu, R.; Wagner, W.
    Publisher: American Meteorological Society
    Abstract: n situ soil moisture measurements from 2007 to 2010 for 196 stations from five networks across the world (United States, France, Spain, China, and Australia) are used to determine the reliability of three soil moisture ...
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    The ESA Climate Change Initiative: Satellite Data Records for Essential Climate Variables 

    Source: Bulletin of the American Meteorological Society:;2013:;volume( 094 ):;issue: 010:;page 1541
    Author(s): Hollmann, R.; Merchant, C. J.; Saunders, R.; Downy, C.; Buchwitz, M.; Cazenave, A.; Chuvieco, E.; Defourny, P.; de Leeuw, G.; Forsberg, R.; Holzer-Popp, T.; Paul, F.; Sandven, S.; Sathyendranath, S.; van Roozendael, M.; Wagner, W.
    Publisher: American Meteorological Society
    Abstract: ons of Earth from space have been made for over 40 years and have contributed to advances in many aspects of climate science. However, attempts to exploit this wealth of data are often hampered by a lack of homogeneity and ...
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