scholarly journals Projections of future drought intensity associated with various local greenhouse gas emission scenarios in East Asia

2020 ◽  
Vol 31 (1) ◽  
pp. 9-19 ◽  
Author(s):  
Chang-Kyun Park ◽  
Chang-Hoi Ho ◽  
Rokjin J. Park ◽  
Jung-Hun Woo ◽  
Cheolsoo Lim ◽  
...  
Keyword(s):  
East Asia ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Emission Scenarios ◽  
Gas Emission ◽  
Drought Intensity

scholarly journals Greenhouse gas emission scenarios in nine key non-G20 countries: An assessment of progress toward 2030 climate targets

2021 ◽  
Vol 123 ◽  
pp. 67-81
Author(s):  
Takeshi Kuramochi ◽  
Leonardo Nascimento ◽  
Mia Moisio ◽  
Michel den Elzen ◽  
Nicklas Forsell ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Emission Scenarios ◽  
Gas Emission ◽  
Climate Targets

scholarly journals Effects of Climate Change on the Distribution of Akebia quinata

2021 ◽  
Vol 9 ◽  
Author(s):  
Jun-Ming Zhang ◽  
Min-Li Song ◽  
Zhen-Jian Li ◽  
Xiang-Yong Peng ◽  
Shang Su ◽  
...  
Keyword(s):  
Climate Change ◽  
East Asia ◽  
Distribution Pattern ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Climate Factors ◽  
Gas Emission ◽  
Tropical Zone ◽  
Geometric Center ◽  
The Impact

Akebia quinata, also known as chocolate vine, is a creeping woody vine which is used as Chinese herbal medicine, and found widely distributed in East Asia. At present, its wild resources are being constantly destroyed. This study aims to provide a theoretical basis for the resource protection of this plant species by analyzing the possible changes in its geographic distribution pattern and its response to climate factors. It is the first time maximum entropy modeling (MaxEnt) and ArcGIS software have been used to predict the distribution of A. quinata in the past, the present, and the future (four greenhouse gas emission scenarios, namely, SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Through the prediction results, the impact of climate change on the distribution of A. quinata and the response of A. quinata to climate factors were analyzed. The results showed that the most significant climatic factor affecting the distribution pattern of A. quinata was the annual precipitation. At present, the suitable distribution regions of A. quinata are mainly in the temperate zone, and a few suitable distribution regions are in the tropical zone. The medium and high suitable regions are mainly located in East Asia, accounting for 51.1 and 81.7% of the worldwide medium and high suitable regions, respectively. The migration of the geometric center of the distribution regions of A. quinata in East Asia is mainly affected by the change of distribution regions in China, and the average migration rate of the geometric center in each climate scenario is positively correlated with the level of greenhouse gas emission scenario.

scholarly journals Future Predictions of Rainfall and Temperature Using GCM and ANN for Arid Regions: A Case Study for the Qassim Region, Saudi Arabia

Water ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1260 ◽  
Author(s):  
Khalid Alotaibi ◽  
Abdul Ghumman ◽  
Husnain Haider ◽  
Yousry Ghazaw ◽  
Md. Shafiquzzaman
Keyword(s):  
Saudi Arabia ◽  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Data Driven ◽  
Emission Scenarios ◽  
Gas Emission ◽  
The Future ◽  
Emissions Scenarios ◽  
The Impact

Future predictions of rainfall patterns in water-scarce regions are highly important for effective water resource management. Global circulation models (GCMs) are commonly used to make such predictions, but these models are highly complex and expensive. Furthermore, their results are associated with uncertainties and variations for different GCMs for various greenhouse gas emission scenarios. Data-driven models including artificial neural networks (ANNs) and adaptive neuro fuzzy inference systems (ANFISs) can be used to predict long-term future changes in rainfall and temperature, which is a challenging task and has limitations including the impact of greenhouse gas emission scenarios. Therefore, in this research, results from various GCMs and data-driven models were investigated to study the changes in temperature and rainfall of the Qassim region in Saudi Arabia. Thirty years of monthly climatic data were used for trend analysis using Mann–Kendall test and simulating the changes in temperature and rainfall using three GCMs (namely, HADCM3, INCM3, and MPEH5) for the A1B, A2, and B1 emissions scenarios as well as two data-driven models (ANN: feed-forward-multilayer, perceptron and ANFIS) without the impact of any emissions scenario. The results of the GCM were downscaled for the Qassim region using the Long Ashton Research Station’s Weather Generator 5.5. The coefficient of determination (R2) and Akaike’s information criterion (AIC) were used to compare the performance of the models. Results showed that the ANNs could outperform the ANFIS for predicting long-term future temperature and rainfall with acceptable accuracy. All nine GCM predictions (three models with three emissions scenarios) differed significantly from one another. Overall, the future predictions showed that the temperatures of the Qassim region will increase with a specified pattern from 2011 to 2099, whereas the changes in rainfall will differ over various spans of the future.

scholarly journals Erratum to “Greenhouse gas emission scenarios in nine key non-G20 countries: An assessment of progress toward 2030 climate targets” [Environ. Sci. Policy 123 (2021) 67–81]

2021 ◽  
Vol 124 ◽  
pp. 541
Author(s):  
Takeshi Kuramochi ◽  
Leonardo Nascimento ◽  
Mia Moisio ◽  
Michel den Elzen ◽  
Nicklas Forsell ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Emission Scenarios ◽  
Gas Emission ◽  
Climate Targets

scholarly journals The response of the climate system to very high greenhouse gas emission scenarios

2011 ◽  
Vol 6 (3) ◽  
pp. 034005 ◽  
Author(s):  
Benjamin M Sanderson ◽  
Brian C O’Neill ◽  
Jeffrey T Kiehl ◽  
Gerald A Meehl ◽  
Reto Knutti ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Climate System ◽  
Emission Scenarios ◽  
Gas Emission ◽  
Very High

Sensitivity of the southern annular mode to greenhouse gas emission scenarios

2011 ◽  
Vol 38 (3-4) ◽  
pp. 563-572 ◽  
Author(s):  
Graham R. Simpkins ◽  
Alexey Yu. Karpechko
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Southern Annular Mode ◽  
Emission Scenarios ◽  
Gas Emission ◽  
Annular Mode

No-policy greenhouse gas emission scenarios: revisiting IPCC 1992

1998 ◽  
Vol 1 (4) ◽  
pp. 289-311 ◽  
Author(s):  
William Pepper ◽  
Wiley Barbour ◽  
Alexei Sankovski ◽  
Barbara Braatz
Keyword(s):  
Greenhouse Gas ◽  
Greenhouse Gas Emission ◽  
Emission Scenarios ◽  
Gas Emission
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