Disentangling physical and dynamical drivers of the 2016/17 record-breaking warm winter in China

Zhang, Tuantuan; Deng, Yi; Chen, Junwen; Yang, Song; Gao, Peng; Zhang, Henian

doi:10.1088/1748-9326/ac79c1

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

Disentangling physical and dynamical drivers of the 2016/17 record-breaking warm winter in China

2022
By Zhang, Tuantuan ; Deng, Yi ; Chen, Junwen ; ...
Source: Environmental Research Letters, 17(7), 074024

[PDF-2.23 MB]

Details You May Also Like

Details:

Journal Title:

Environmental Research Letters
Personal Author:

Zhang, Tuantuan ; Deng, Yi ; Chen, Junwen ; Yang, Song ; Gao, Peng ; ... More +

Zhang, Tuantuan ; Deng, Yi ; Chen, Junwen ; Yang, Song ; Gao, Peng ; Zhang, Henian Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research)
Description:

Understanding the physical and dynamical origin of regional climate extremes remains a major challenge in our effort to anticipate the occurrences and mitigate the adverse impacts of these extremes. China was hit by a record-breaking hot winter in 2016/17 with remarkable surface warming over the northern and southeastern regions. Here we made a quantitative attribution of this 2016/17 winter’s surface temperature anomalies utilizing an updated version of the coupled atmosphere-surface climate feedback response analysis method (CFRAM), that recently incorporates the effect of aerosols and more species of trace gases (CFRAM-A). The CFRAM-A analysis reveals that the overall warming pattern may be largely attributed to the effects of anomalous water vapor, atmospheric dynamics, and aerosols, followed by anomalies of surface albedo, clouds, solar irradiance, ozone, and carbon dioxide. The effect of methane turns out to be negligible. Anomalies in surface dynamics provides an overall cooling effect, compensating the warming associated with other processes to some extent. Among the three major positive contributors, effects of water vapor and atmospheric dynamics prevail over both northern and southeastern China while the impact of anthropogenic aerosols appears much more pronounced over southeastern China, likely due to the implementation of highly effective emission reduction policies in China since 2013. The CFRAM-A thus provides an efficient, model-free approach for quantitatively understanding sources of regional temperature extremes and for assessing the impacts of environmental policies regulating anthropogenic emissions of aerosols and atmospheric trace gases.
Keywords:

[+]

General Environmental Science Public Health, Environmental And Occupational Health Renewable Energy, Sustainability And The Environment
Source:

Environmental Research Letters, 17(7), 074024
DOI:

https://doi.org/10.1088/1748-9326/ac79c1
ISSN:

1748-9326
Format:

PDF
Publisher:

IOP Publishing
Document Type:

Journal Article
Funding:

Grant no. NA20OAR4310380
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
Compliance:

Library
Main Document Checksum:

[+]

urn:sha256:6d1d10d000e34cf462c91c515e58076069da07fa113075df1a69c1124d222b7b
Download URL:

https://repository.library.noaa.gov/view/noaa/58894/noaa_58894_DS1.pdf
File Type:

No Additional Files

More +

Disentangling physical and dynamical drivers of the 2016/17 record-breaking warm winter in China

Details:

Supporting Files

You May Also Like