Deep learning insights into spatial patterns of stable isotopes in Iran’s precipitation: a novel approach to climatological mapping-Reference-Cited by-同舟云学术

Deep learning insights into spatial patterns of stable isotopes in Iran’s precipitation: a novel approach to climatological mapping

Published:2024-09-03 Issue: Volume: Page:1-20
ISSN:1025-6016
Container-title:Isotopes in Environmental and Health Studies
language:en
Short-container-title:Isotopes in Environmental and Health Studies

Author:

Heydarizad Mojtaba¹,Sori Rogert²,Minaei Masoud³⁴^ORCID,Ghalibaf Mohammadabadi Hamid⁵,Mahdipour Elham⁶

Affiliation:

1. State Key Laboratory of Marine Geology, Tongji University, Shanghai, People’s Republic of China

2. Environmental Physics Laboratory (EPhysLab), Centro de Investigación Mariña, Universidade de Vigo, Ourense, Spain

3. Department of Geography, Faculty of Letters and Humanities, Ferdowsi University of Mashhad, Mashhad, Iran

4. Geographic Information Science/System and Remote Sensing Laboratory (GISSRS: Lab), Faculty of Letters and Humanities, Ferdowsi University of Mashhad, Mashhad, Iran

5. Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

6. Computer Engineering Department, Khavaran Institute of Higher Education, Mashhad, Iran

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10256016.2024.2396302

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4. Rainfall trends analysis of Iran in the last half of the twentieth century;Modarres R;Geophys Res Atmos,2009

5. The interannual precipitation variability in the southern part of Iran as linked to large-scale climate modes