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Academic Journal

Comparison of hybrid machine learning models to predict short-term meteorological drought in Guanzhong region, China.

  • Authors : Li S; State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, Shaanxi 710048, China E-mail: .; Xie J

Subjects: Droughts*/Droughts*/Droughts*/statistics & numerical data ; Machine Learning* ; Meteorology*/Meteorology*/Meteorology*/methods

  • Source: Water science and technology : a journal of the International Association on Water Pollution Research [Water Sci Technol] 2023 Jun; Vol. 87 (11), pp. 2756-2775.Publisher: IWA Publishing Country of Publication: England NLM ID: 9879497 Publication Model: Print Cited Medium: Print ISSN: 0273-1223 (Print)

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Academic Journal

Three-dimensional linkage between meteorological drought and vegetation drought across China.

  • Authors : Weng Z; Center for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China; National Field Scientific Observation and Research Station on Efficient Water Use of Oasis Agriculture in Wuwei of Gansu Province, Wuwei 733000, China

Subjects: Droughts* ; Meteorology*; Climate

  • Source: The Science of the total environment [Sci Total Environ] 2023 Feb 10; Vol. 859 (Pt 2), pp. 160300. Date of Electronic Publication: 2022 Nov 17.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Assessing and mapping human well-being for sustainable development amid drought and flood hazards: Dadu River Basin of China.

  • Authors : Zhang Y; Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.; Water-Saving Agriculture in Southern Hill Area Key Laboratory of Sichuan Province, Chengdu, 610066, Sichuan, China.

Subjects: Sustainable Development* ; Meteorology*; Humans

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Dec; Vol. 29 (60), pp. 90719-90737. Date of Electronic Publication: 2022 Jul 25.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499

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Academic Journal

Response of China's electricity consumption to climate change using monthly household data.

  • Authors : Hou JJ; Business School, Beijing Normal University, Beijing, 100875, China.; Liu LC

Subjects: Climate Change* ; Meteorology*; Poverty

  • Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2022 Dec; Vol. 29 (60), pp. 90272-90289. Date of Electronic Publication: 2022 Jul 22.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499

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Academic Journal

Climatology and changes in hourly precipitation extremes over China during 1970-2018.

  • Authors : Li X; College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu 210098, China; CMA-HHU Joint Laboratory for HydroMeteorological Studies, Hohai University, Nanjing, Jiangsu 210098, China.

Subjects: Ecosystem* ; Meteorology*; China

  • Source: The Science of the total environment [Sci Total Environ] 2022 Sep 15; Vol. 839, pp. 156297. Date of Electronic Publication: 2022 May 27.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Application of L-moment method for regional frequency analysis of meteorological drought across the Loess Plateau, China.

  • Authors : Li M; College of Geographical Science, Shanxi Normal University, Taiyuan, Shanxi, China.; Liu M

Subjects: Droughts* ; Meteorology*; China

  • Source: PloS one [PLoS One] 2022 Sep 01; Vol. 17 (9), pp. e0273975. Date of Electronic Publication: 2022 Sep 01 (Print Publication: 2022).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Periodical

China's extreme weather challenges scientists trying to study it.

Subjects: Climate Change*/Climate Change*/Climate Change*/statistics & numerical data ; Extreme Weather* ; Meteorology*/Meteorology*/Meteorology*/methods

  • Source: Nature [Nature] 2022 Sep; Vol. 609 (7929), pp. 888.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 0410462 Publication Model: Print Cited Medium: Internet ISSN:

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Academic Journal

A method for improving the estimation of extreme air temperature by satellite.

  • Authors : Yao R; Key Laboratory of Regional Ecology and Environmental Change, China University of Geosciences, Wuhan 430074, China.; Wang L

Subjects: Hot Temperature* ; Meteorology*/Meteorology*/Meteorology*/methods; China

  • Source: The Science of the total environment [Sci Total Environ] 2022 Sep 01; Vol. 837, pp. 155887. Date of Electronic Publication: 2022 May 12.Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Collaboration between meteorology and public health: Predicting the dengue epidemic in Guangzhou, China, by meteorological parameters.

  • Authors : Chen J; School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, China.; Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou, China.

Subjects: Dengue*/Dengue*/Dengue*/epidemiology ; Meteorology*; China/China/China/epidemiology

  • Source: Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2022 Aug 09; Vol. 12, pp. 881745. Date of Electronic Publication: 2022 Aug 09 (Print Publication: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN:

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Academic Journal

[Variation characteristics of normalized difference vegetation index in Northwestern Sichuan Plateau and its response to extreme climate during 2001-2020].

  • Authors : Wang X; Sichuan Province Agricultural Meteorological Center, Chengdu 610072, China.; Sichuan Key Laboratory of Water-Saving Agriculture Research in Southern Hilly Areas, Chengdu 610066, China.

Subjects: Climate Change* ; Meteorology*; China

  • Source: Ying yong sheng tai xue bao = The journal of applied ecology [Ying Yong Sheng Tai Xue Bao] 2022 Jul; Vol. 33 (7), pp. 1957-1965.Publisher: Ying yong sheng tai xue bao bian ji wei yuan hui Country of Publication: China NLM ID: 9425159 Publication Model:

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