scholarly journals Hydrological impact of regional climate change in the Chao Phraya River Basin, Thailand

2012 ◽  
Vol 6 (0) ◽  
pp. 53-58 ◽  
Author(s):  
Shuichi Kure ◽  
Taichi Tebakari
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Hydrological Impact ◽  
Chao Phraya River

scholarly journals Runoff change scenarios based on regional climate change projections in mountainous basins in Slovakia

2013 ◽  
Vol 43 (4) ◽  
pp. 327-350 ◽  
Author(s):  
Zuzana Štefunková ◽  
Kamila Hlavčová ◽  
Milan Lapin
Keyword(s):  
Climate Change ◽  
River Basin ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Rainfall Runoff ◽  
Climate Change Projections ◽  
Runoff Change ◽  
Rainfall Runoff Model ◽  
Runoff Model

Abstract In the study the potential impact of climate change on river runoff in the upper Hron River, V´ah River, and Laborec River basin was evaluated using the Hron conceptual spatially-lumped rainfall-runoff model, which was driven by regional circulation models of atmosphere. The rainfall-runoff model was calibrated with data from the 1981-1995 period and validated with data from the 1996-2010 period. Changes in climate variables in the future were expressed by three different regional climate change projections: KNMI, MPI and ALADIN-Climate for the period 1961-2100. Changes in the seasonal runoff distribution were evaluated by a comparison of the simulated long-term mean monthly discharges in the river basin outlets in future decades with the present stage.

scholarly journals Incorrect Asian aerosols affecting the attribution and projection of regional climate change in CMIP6 models

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Zhili Wang ◽  
Lei Lin ◽  
Yangyang Xu ◽  
Huizheng Che ◽  
Xiaoye Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Radiative Forcing ◽  
Impact Analysis ◽  
Climate Model ◽  
Regional Climate ◽  
Eastern China ◽  
Coupled Model ◽  
Regional Climate Change ◽  
Anthropogenic Aerosol ◽  
Wide Range

AbstractAnthropogenic aerosol (AA) forcing has been shown as a critical driver of climate change over Asia since the mid-20th century. Here we show that almost all Coupled Model Intercomparison Project Phase 6 (CMIP6) models fail to capture the observed dipole pattern of aerosol optical depth (AOD) trends over Asia during 2006–2014, last decade of CMIP6 historical simulation, due to an opposite trend over eastern China compared with observations. The incorrect AOD trend over China is attributed to problematic AA emissions adopted by CMIP6. There are obvious differences in simulated regional aerosol radiative forcing and temperature responses over Asia when using two different emissions inventories (one adopted by CMIP6; the other from Peking university, a more trustworthy inventory) to driving a global aerosol-climate model separately. We further show that some widely adopted CMIP6 pathways (after 2015) also significantly underestimate the more recent decline in AA emissions over China. These flaws may bring about errors to the CMIP6-based regional climate attribution over Asia for the last two decades and projection for the next few decades, previously anticipated to inform a wide range of impact analysis.

scholarly journals Regional Climate Change Competitiveness—Modelling Approach

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3704
Author(s):  
Agnieszka Karman ◽  
Andrzej Miszczuk ◽  
Urszula Bronisz
Keyword(s):  
Climate Change ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Measurement Scale ◽  
Practical Application ◽  
Adaptation To Climate Change ◽  
Regional Competitiveness ◽  
The Face ◽  
Competitiveness Index ◽  
Modelling Approach

The article deals with the competitiveness of regions in the face of climate change. The aim was to present the concept of measuring the Regional Climate Change Competitiveness Index. We used a comparative and logical analysis of the concept of regional competitiveness and heuristic conceptual methods to construct the index and measurement scale. The structure of the index includes six broad sub-indexes: Basic, Natural, Efficiency, Innovation, Sectoral, Social, and 89 indicators. A practical application of the model was presented for the Mazowieckie province in Poland. This allowed the region’s performance in the context of climate change to be presented, and regional weaknesses in the process of adaptation to climate change to be identified. The conclusions of the research confirm the possibility of applying the Regional Climate Change Competitiveness Index in the economic analysis and strategic planning. The presented model constitutes one of the earliest tools for the evaluation of climate change competitiveness at a regional level.

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