Linear and nonlinear trend analyses in global satellite‐based precipitation, 1998‐2017
Kazemzadeh, Majid ; Hashemi, Hossein LU
; Jamali, Sadegh
LU
; B Uvo, Cintia
LU
; Berndtsson, Ronny
LU
and Huffman, George
(2021)
In Earth's Future
9(4).
- Abstract
- Precipitation varies spatiotemporally in amount, intensity, and frequency. Although, much research has been conducted on analyzing precipitation patterns and variation at the global scale, trend types have still not received much attention. This study developed a new polynomial‐based model for detecting non‐linear and linear trends in a satellite precipitation product (TRMM 3B43) for the 1998‐2017 period at a near‐global scale. We used an automated trend classification method that detects significant trends and classifies them into linear and non‐linear (cubic, quadratic, and concealed) trend types in satellite‐based precipitation at near‐global, continental, and climate zone scales. We found that 12.3% of pixel‐based precipitation time... (More)
- Precipitation varies spatiotemporally in amount, intensity, and frequency. Although, much research has been conducted on analyzing precipitation patterns and variation at the global scale, trend types have still not received much attention. This study developed a new polynomial‐based model for detecting non‐linear and linear trends in a satellite precipitation product (TRMM 3B43) for the 1998‐2017 period at a near‐global scale. We used an automated trend classification method that detects significant trends and classifies them into linear and non‐linear (cubic, quadratic, and concealed) trend types in satellite‐based precipitation at near‐global, continental, and climate zone scales. We found that 12.3% of pixel‐based precipitation time series across the globe have significant trend at 0.05 significance level (50% positive and 50% negative trends). In all continents except Asia, decreasing trends were found to cover larger areas than corresponding increasing trends. Regarding climate zone and precipitation trend change, our results indicate that a linear trend is dominant in the warm temperate (77.7%) and equatorial climates (80.4%) while the least linear change was detected in the polar climate (68.9%). The combined results of continental and climate zone scales indicate significant increasing trends in Asia and arid climate over the last 20 years. Furthermore, positive trends were found to be more significant at the continental scale, particularly, in Asia relative to the climate zone scale. Linear change in precipitation (80%) was the most dominant trend observed as opposed to non‐linear (quadratic (11%) and cubic (9%)) trend types at the global scale. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2fd91e8b-ad1f-43f8-b538-285430d88ace
- author
- Kazemzadeh, Majid
; Hashemi, Hossein
LU
; Jamali, Sadegh
LU
; B Uvo, Cintia
LU
; Berndtsson, Ronny
LU
and Huffman, George
- organization
- publishing date
- 2021-03-27
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Earth's Future
- volume
- 9
- issue
- 4
- article number
- e2020EF001835
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- scopus:85104983135
- ISSN
- 2328-4277
- DOI
- 10.1029/2020EF001835
- language
- English
- LU publication?
- yes
- id
- 2fd91e8b-ad1f-43f8-b538-285430d88ace
- date added to LUP
- 2021-04-01 14:18:11
- date last changed
- 2023-10-10 17:40:58
@article{2fd91e8b-ad1f-43f8-b538-285430d88ace,
abstract = {{Precipitation varies spatiotemporally in amount, intensity, and frequency. Although, much research has been conducted on analyzing precipitation patterns and variation at the global scale, trend types have still not received much attention. This study developed a new polynomial‐based model for detecting non‐linear and linear trends in a satellite precipitation product (TRMM 3B43) for the 1998‐2017 period at a near‐global scale. We used an automated trend classification method that detects significant trends and classifies them into linear and non‐linear (cubic, quadratic, and concealed) trend types in satellite‐based precipitation at near‐global, continental, and climate zone scales. We found that 12.3% of pixel‐based precipitation time series across the globe have significant trend at 0.05 significance level (50% positive and 50% negative trends). In all continents except Asia, decreasing trends were found to cover larger areas than corresponding increasing trends. Regarding climate zone and precipitation trend change, our results indicate that a linear trend is dominant in the warm temperate (77.7%) and equatorial climates (80.4%) while the least linear change was detected in the polar climate (68.9%). The combined results of continental and climate zone scales indicate significant increasing trends in Asia and arid climate over the last 20 years. Furthermore, positive trends were found to be more significant at the continental scale, particularly, in Asia relative to the climate zone scale. Linear change in precipitation (80%) was the most dominant trend observed as opposed to non‐linear (quadratic (11%) and cubic (9%)) trend types at the global scale.}},
author = {{Kazemzadeh, Majid and Hashemi, Hossein and Jamali, Sadegh and B Uvo, Cintia and Berndtsson, Ronny and Huffman, George}},
issn = {{2328-4277}},
language = {{eng}},
month = {{03}},
number = {{4}},
publisher = {{John Wiley & Sons Inc.}},
series = {{Earth's Future}},
title = {{Linear and nonlinear trend analyses in global satellite‐based precipitation, 1998‐2017}},
url = {{http://dx.doi.org/10.1029/2020EF001835}},
doi = {{10.1029/2020EF001835}},
volume = {{9}},
year = {{2021}},
}