Menu
×
John L. Dart Library
Closed
Phone: (843) 722-7550
West Ashley Library
Closed
Phone: (843) 766-6635
Folly Beach Library
Closed
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
Closed
Phone: (843) 805-6888
Village Library
Closed
Phone: (843) 884-9741
St. Paul's/Hollywood Library
Closed
Phone: (843) 889-3300
Otranto Road Library
Closed
Phone: (843) 572-4094
Mt. Pleasant Library
Closed
Phone: (843) 849-6161
McClellanville Library
Closed
Phone: (843) 887-3699
Keith Summey North Charleston Library
Closed
Phone: (843) 744-2489
John's Island Library
Closed
Phone: (843) 559-1945
Hurd/St. Andrews Library
Closed
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
Closed
Phone: (843) 869-2355
Dorchester Road Library
Closed
Phone: (843) 552-6466
Baxter-Patrick James Island
Closed
Phone: (843) 795-6679
Main Library
2 p.m. – 5 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
Closed
Phone: (843) 805-6892
Mobile Library
Closed
Phone: (843) 805-6909
Today's Hours
John L. Dart Library
Closed
Phone: (843) 722-7550
West Ashley Library
Closed
Phone: (843) 766-6635
Folly Beach Library
Closed
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
Closed
Phone: (843) 805-6888
Village Library
Closed
Phone: (843) 884-9741
St. Paul's/Hollywood Library
Closed
Phone: (843) 889-3300
Otranto Road Library
Closed
Phone: (843) 572-4094
Mt. Pleasant Library
Closed
Phone: (843) 849-6161
McClellanville Library
Closed
Phone: (843) 887-3699
Keith Summey North Charleston Library
Closed
Phone: (843) 744-2489
John's Island Library
Closed
Phone: (843) 559-1945
Hurd/St. Andrews Library
Closed
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
Closed
Phone: (843) 869-2355
Dorchester Road Library
Closed
Phone: (843) 552-6466
Baxter-Patrick James Island
Closed
Phone: (843) 795-6679
Main Library
2 p.m. – 5 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
Closed
Phone: (843) 805-6892
Mobile Library
Closed
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
Separating Anthropogenically‐ and Naturally‐Caused Temperature Trends: A Systematic Approach Based On Climate Memory Analysis.
Item request has been placed!
×
Item request cannot be made.
×
![loading](/sites/all/modules/hf_eds/images/loading.gif)
- Author(s): Yuan, Naiming; Ma, Chao; Franzke, Christian L. E.; Niu, Hourui; Dong, Wenjie
- Source:
Geophysical Research Letters; 5/16/2023, Vol. 50 Issue 9, p1-11, 11p- Subject Terms:
- Source:
- Additional Information
- Abstract: Separating anthropogenic and natural contributions to global warming is crucial for understanding and predicting climate change, but it is challenging due to the complexity of the climate system. In this study, we try to address this issue by estimating the anthropogenic forcing impacts with its long‐term persistence features properly considered. In this way, a data‐driven approach is proposed to decompose the observed trends from global and regional scales into anthropogenically‐ and naturally‐caused trends. We find that there is a continuous anthropogenic global warming trend since the beginning of the last century, even during the recent global warming hiatus period. On regional scales, the anthropogenically‐forced trends among regions are found at a similar level, while their unevenly distributed warming trends among regions may be attributed to natural causes. Our findings provide new insight into climate warming, and our approach based on persistence analysis provides a new perspective for attribution studies. Plain Language Summary: In the climate system, temperature change is jointly determined by internal natural variabilities, natural forcings, and anthropogenic forcings. Distinguishing their contributions is of great importance and has attracted much attention. While the most widely used attribution tools are typically established on the basis of climate model simulations, considering the simulation uncertainties, data‐driven approaches as complements also play a vital role. The core of data‐driven methods is to separate the contributions of different forcings using statistical methods such as regression analyses. However, one difficulty comes from the climate inter‐scale interactions, which may transmit the influences of forcings to multiscale processes, leading to long‐lasting impacts. In this study, we try to address this issue by properly quantifying the climate memory related components from the considered temperature records, based on which the long‐lasting impacts of anthropogenic forcings may be estimated, and the anthropogenically‐forced & natural trends can be separated. Using this approach, we find the anthropogenically‐forced global warming trend is continuous, even during the recent global warming hiatus period. On regional scales, the anthropogenically‐forced trends seem to be similar among different regions. By properly considering the long‐lasting impacts of anthropogenic forcings, this data‐driven approach provides a new perspective for attribution studies. Key Points: We develop an approach to separate anthropogenically‐ and naturally‐caused temperature trends based on long‐term persistence analysisWe estimate the anthropogenically‐forced global warming trends in different time windows, including the recent global warming hiatus periodThe unevenly distributed warming trends among regions are mainly attributed to natural causes, not anthropogenically‐forced trends [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Geophysical Research Letters is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.