2021
DOI: 10.1007/s13143-021-00225-6
|View full text |Cite
|
Sign up to set email alerts
|

Climate Change Projection in the Twenty-First Century Simulated by NIMS-KMA CMIP6 Model Based on New GHGs Concentration Pathways

Abstract: The National Institute of Meteorological Sciences-Korea Meteorological Administration (NIMS-KMA) has participated in the Coupled Model Inter-comparison Project (CMIP) and provided long-term simulations using the coupled climate model. The NIMS-KMA produces new future projections using the ensemble mean of KMA Advanced Community Earth system model (K-ACE) and UK Earth System Model version1 (UKESM1) simulations to provide scientific information of future climate changes. In this study, we analyze four experiment… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
12
0
2

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 22 publications
(15 citation statements)
references
References 29 publications
1
12
0
2
Order By: Relevance
“…Fig 6 shows the spatial distribution of future EASM under 1.5, 2.0, and 3.0°C GWLs. Although the periods of 1.5 and 2°C projected warming are not far from the present period (Section 2.3), a general increase in summer precipitation appears over the EA domain ( Fig 6 ), which is consistent with previous findings [ 41 , 42 ]. The prominent increase is mainly located in the low latitudes (~25°N) covering southeast China and the western North Pacific and the high latitudes (~40°N) covering northeast China and the Korean Peninsula ( Fig 6D–6F ).…”
Section: Resultssupporting
confidence: 92%
“…Fig 6 shows the spatial distribution of future EASM under 1.5, 2.0, and 3.0°C GWLs. Although the periods of 1.5 and 2°C projected warming are not far from the present period (Section 2.3), a general increase in summer precipitation appears over the EA domain ( Fig 6 ), which is consistent with previous findings [ 41 , 42 ]. The prominent increase is mainly located in the low latitudes (~25°N) covering southeast China and the western North Pacific and the high latitudes (~40°N) covering northeast China and the Korean Peninsula ( Fig 6D–6F ).…”
Section: Resultssupporting
confidence: 92%
“…Thus, global warming above 1.5 • C may result in the crossing of a threshold for Arctic sea ice. Related evidence from previous studies suggests that summer sea ice in the Arctic will disappear after the first half of the 21st century because of rapid temperature increases [26,54].…”
Section: Drivers and Their Impactsmentioning
confidence: 67%
“…The uncertainties associated with the ensemble do not vary significantly among the emission scenarios [7,26]. Thus, warming in the Arctic region, which is approximately two-fold higher than the global average [26,54], leads to a sea-ice melting process with large uncertainty. Additionally, the model response uncertainty increases for stronger responses, which is expected to result in high climate sensitivity [55].…”
Section: Future Periodmentioning
confidence: 99%
“…We employ three ensemble members of the historical (years 1850-2014) and the SSP5-8.5 scenario (years 2015-2100) simulations of the K-ACE. Both simulations are conducted following the experimental design of the CMIP6 (O'Neill et al 2016), which is described in detail by Sung et al (2021). To diagnose the HC, monthly fields of meridional wind, surface pressure, and precipitation rate are analyzed.…”
Section: Datamentioning
confidence: 99%
“…The key difference between the K-ACE and the UK Earth System Model is the ocean component model and the representation of aerosols, among many others. Sung et al (2021) documented the performance of the K-ACE for climate mean states (e.g., surface temperature, precipitation, and sea ice extent) and climate variability (e.g., Northern and Southern Annular Modes) in the present and future climate. However, it has not been reported whether the HC is reasonably represented in the model or how it is projected to the changes under the future scenarios.…”
Section: Introductionmentioning
confidence: 99%