يعرض 1 - 10 نتائج من 304 نتيجة بحث عن '"Modified Mann-Kendall"', وقت الاستعلام: 1.08s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Quantifying the stochastic trends of climate extremes over Yemen: a comprehensive assessment using ERA5 data

    المؤلفون: Al-Sakkaf, Ali SalemAff1, Aff2, Aff3, Zhang, JiahuaAff4, Aff12, Yao, FengmeiAff1, IDs00477024027726_cor3, Hamed, Mohammed Magdy, Al-Aizari, Ali R., Dammag, Abdulkarem QasemAff7, Aff8, Al-Masnay, Yousef A., Thabit, Fursan, Shahid, Shamsuddin

    المصدر: Stochastic Environmental Research and Risk Assessment. 38(9):3639-3656

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  2. 2
    دورية أكاديمية
    Spatio-temporal analysis of precipitation in eastern India for last three decades

    المؤلفون: Roy, Pankaj KumarAff1, IDs4132402400591z_cor1, Sarkar, Ahana, Saha, Shilpa, Ray, Poulami, Roy, Malabika Biswas

    المصدر: Spatial Information Research. :1-12

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  3. 3
    دورية أكاديمية
    Analysis of factors affecting evapotranspiration zoning

    المؤلفون: Sadeghzadeh, Mostafa, shiri, JalalAff1, Aff2, IDs11356024338229_cor2, Karimi, SepidehAff1, Aff2, Majnooni, AbolfazlAff1, Aff2

    المصدر: Environmental Science and Pollution Research. 31(29):42295-42313

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  4. 4
    دورية أكاديمية
    Identification of the most suitable meteorological drought index for a region: a case study of Raigarh district in Chhattisgarh

    المؤلفون: Panigrahi, Siddhant, Vidyarthi, Vikas KumarAff1, IDs11069024065161_cor2

    المصدر: Natural Hazards. 120(8):7527-7547

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  5. 5
    دورية أكاديمية
    Exploring Climate Variables and Drought Patterns: A Comprehensive Trend Analysis and Evaluation of Beas Basin in Western Himalaya

    المؤلفون: Kant, ChanderAff1, IDs41748024003762_cor1, Kumar, Avinash, Meena, Ray Singh

    المصدر: Earth Systems and Environment. 8(2):449-464

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  6. 6
    دورية أكاديمية
    Spatiotemporal sensitivity analysis of surface soil moisture to precipitation and temperature variations: a case study of the Cheliff Basin in Algeria

    المؤلفون: Kabli, Sarah, Zeroual, AyoubAff1, IDs00704024048750_cor2, Meddi, Mohamed

    المصدر: Theoretical and Applied Climatology. 155(5):4189-4212

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  7. 7
    دورية أكاديمية
    Determine the best method for analysing long-term (120 years) annual and seasonal rainfall trends in four east India river basins

    المؤلفون: Patel, Gaurav, Das, SubhasishAff1, IDs12040024022827_cor2, Das, Rajib

    المصدر: Journal of Earth System Science: Published by the Indian Academy of Sciences. 133(2)

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  8. 8
    دورية أكاديمية
    Spatiotemporal variability and trends in rainfall and temperature extremes using ERA5 reanalysis and CORDEX–Africa model in Southern Ethiopia

    المؤلفون: Zewde Sufara Yagaso, Teshome Yirgu Bayu, Mulugeta Debele Bedane

    المصدر: Heliyon, Vol 10, Iss 13, Pp e33587- (2024)

    مصطلحات موضوعية: Climate model, Climate variability, Cool night, Modified mann-kendall test, Warmest day, Science (General), Q1-390, Social sciences (General), H1-99

    وصف الملف: electronic resource

    Relation: http://www.sciencedirect.com/science/article/pii/S240584402409618X; https://doaj.org/toc/2405-8440

    URL الوصول: https://doaj.org/article/af42b00522f340769b133f437d17a85c

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  9. 9
    دورية أكاديمية
    Analysis of past and projected changes in extreme precipitation indices in some watersheds in Côte d'Ivoire

    المؤلفون: N'da Jocelyne Maryse Christine Amichiatchi, Jean Hounkpè, Gneneyougo Emile Soro, Ojelabi Oluwatoyin Khadijat, Isaac Larbi, Andrew Manoba Limantol, Abdul-Rauf Malimanga Alhassan, Tie Albert Goula Bi, Agnidé Emmanuel Lawin

    المصدر: Journal of Water and Climate Change, Vol 15, Iss 2, Pp 392-406 (2024)

    مصطلحات موضوعية: extreme rainfall, modified mann–kendall, rca4, rcps, trend analysis, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350

    وصف الملف: electronic resource

    Relation: http://jwcc.iwaponline.com/content/15/2/392; https://doaj.org/toc/2040-2244; https://doaj.org/toc/2408-9354

    URL الوصول: https://doaj.org/article/5e959438d9a941d19602b180398385a6

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  10. 10
    دورية أكاديمية
    Enhancing irrigation water management based on ETo prediction using machine learning to mitigate climate change

    المؤلفون: Mohamed A. Youssef, R. Troy Peters, Mohammed El-Shirbeny, Ahmed M. Abd-ElGawad, Younes M. Rashad, Mohamed Hafez, Yasser Arafa

    المصدر: Cogent Food & Agriculture, Vol 10, Iss 1 (2024)

    مصطلحات موضوعية: Climate change, reference evapotranspiration, machine learning algorithms, modified Mann-Kendall test, Kling-Gupta efficiency, Manuel Tejada, Universidad de Sevilla, Spain, Agriculture, Food processing and manufacture, TP368-456

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/2331-1932

    URL الوصول: https://doaj.org/article/eecbcbf76a5d4b1ea8d33df04dfb1e66

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