Assessment of precipitation extremes and their association with NDVI, monsoon and oceanic indices over Pakistan-Reference-Cited by-同舟云学术

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Assessment of precipitation extremes and their association with NDVI, monsoon and oceanic indices over Pakistan

Published:2023-09 Issue: Volume:292 Page:106873
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Hussain Azfar,Hussain Ishtiaq,Ali Shaukat,Ullah Waheed,Khan Firdos,Rezaei Abolfazl,Ullah Safi,Abbas Haider,Manzoom Asima,Cao Jianhua,Zhou Jinxing

Funder

Pakistan Meteorological Department

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference156 articles.

1. The impact of climate indices on precipitation variability in Baluchistan, Pakistan;Aamir;Tellus A: Dyn. Meteorol. Oceanogr.,2020

2. The influence of teleconnections on the precipitation in Baluchistan;Aamir;Atmosphere,2022

3. Prevailing trends of climatic extremes across Indus-Delta of Sindh-Pakistan;Abbas;Theor. Appl. Climatol.,2018

4. Patterns of climate extremes in the coastal and highland regions of Balochistan, Pakistan;Abbas;Earth Interact.,2018

5. Evaluation and projection of precipitation in Pakistan using the coupled model intercomparison project phase 6 model simulations;Abbas;Int. J. Climatol.,2022

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1. Increasing monsoon precipitation extremes in relation to large-scale climatic patterns in Pakistan;Atmospheric Research;2024-10

2. Elevation‐dependent warming and possible‐driving mechanisms over global highlands;International Journal of Climatology;2024-09-07

3. Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data;Environmental Science and Pollution Research;2024-09-02

4. Precipitation dynamics and its interactions with possible drivers over global highlands;Global and Planetary Change;2024-09

5. Application of Shannon Entropy in Assessing Changes in Precipitation Conditions and Temperature Based on Long-Term Sequences Using the Bootstrap Method;Atmosphere;2024-07-27

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