Showing 1,681 - 1,700 results of 2,135 for search '"Jet Propulsion Laboratory"', query time: 1.01s Refine Results
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    Optimizing actual evapotranspiration simulation to identify evapotranspiration partitioning variations: A fusion of physical processes and machine learning techniques by Xiaoman Jiang, Yuntao Wang, Yinglan A., Guoqiang Wang, Xiaojing Zhang, Guangwen Ma, Limin Duan, Kai Liu

    Published 2024-04-01
    “…Subsequently, we introduced the random forest algorithm to optimize the soil evaporation module of the Priestley-Taylor Jet Propulsion Laboratory (PT-JPL) model to enable a more accurate prediction of ET. …”
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    Article
  3. 1683

    Análise da Variação Temporal das Altitudes Elipsoidais e Ortométricas em Estações da RBMC a Partir de Dados GNSS e Dados GRACE by Antônio Carlos França Cagido, Regiane Dalazoana

    Published 2018-06-01
    “…Os materiais para o cumprimento deste estudo compreendem séries temporais de coordenadas geodésicas de 18 estações da RBMC, no intervalo de tempo entre janeiro de 2012 a julho de 2015 e modelos mensais do geopotencial da missão GRACE provenientes de três centros de processamento: o Jet Propulsion Laboratory (JPL), o GeoForschungsZentrum (GFZ) e o Center for Space Research (CSR). …”
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    Constraining the N<sub>2</sub>O<sub>5</sub> UV absorption cross section from spectroscopic trace gas measurements in the tropical mid-stratosphere by L. Kritten, A. Butz, M. P. Chipperfield, M. Dorf, S. Dhomse, R. Hossaini, H. Oelhaf, C. Prados-Roman, G. Wetzel, K. Pfeilsticker

    Published 2014-09-01
    “…The absorption cross section of N<sub>2</sub>O<sub>5</sub>, &sigma;<sub>N<sub>2</sub>O<sub>5</sub></sub>(&lambda;, <i>T</i>), which is known from laboratory measurements with the uncertainty of a factor of 2 (Table 4-2 in (Jet Propulsion Laboratory) JPL-2011; the spread in laboratory data, however, points to an uncertainty in the range of 25 to 30%, Sander et al., 2011), was investigated by balloon-borne observations of the relevant trace gases in the tropical mid-stratosphere. …”
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  16. 1696

    Climate Change and Vegetation Greening Jointly Promote the Increase in Evapotranspiration in the Jing River Basin by Luoyi Yao, Rong Wu, Zijun Wang, Tingyi Xue, Yangyang Liu, Ercha Hu, Zhongming Wen, Haijing Shi, Jiaqi Yang, Peidong Han, Yinghan Zhao, Jingyao Hu

    Published 2024-08-01
    “…To this end, our study focuses on the Jing River Basin in the Loess Plateau, utilizing multi-source remote sensing data and climatic information to investigate the spatiotemporal dynamics of evapotranspiration from 1984 to 2018 through the application of the Priestley–Taylor Jet Propulsion Laboratory (PT-JPL) model. Our research results indicate a general ascending tendency in evapotranspiration across the investigated region, demonstrating a notably discernible escalation at a pace of approximately 3.11 mm/year (<i>p</i> < 0.01), with an annual vegetation ET volume reaching 533.88 mm. …”
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