scholarly journals How Do Modeling Decisions Affect the Spread Among Hydrologic Climate Change Projections? Exploring a Large Ensemble of Simulations Across a Diversity of Hydroclimates

2019 ◽  
Vol 7 (6) ◽  
pp. 623-637 ◽  
Author(s):  
Oriana S. Chegwidden ◽  
Bart Nijssen ◽  
David E. Rupp ◽  
Jeffrey R. Arnold ◽  
Martyn P. Clark ◽  
...  
Keyword(s):  
Climate Change ◽  
Large Ensemble ◽  
Climate Change Projections ◽  
Ensemble Of Simulations

Uncertainty in CMIP6 climate change projections for the Australian monsoon is tied to hemispheric-scale changes

2020 ◽  
Author(s):  
Sugata Narsey ◽  
Josephine R. Brown ◽  
Robert A. Colman ◽  
Francois Delage ◽  
Scott Brendan Power ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Projections ◽  
Australian Monsoon

scholarly journals Anthropogenic climate change has changed frequency of past flood during 2010-2013

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yukiko Hirabayashi ◽  
Haireti Alifu ◽  
Dai Yamazaki ◽  
Yukiko Imada ◽  
Hideo Shiogama ◽  
...  
Keyword(s):  
Climate Change ◽  
South America ◽  
Radiative Forcing ◽  
Water Cycle ◽  
Flood Frequency ◽  
Anthropogenic Climate Change ◽  
Climate Change Signal ◽  
Northern Eurasia ◽  
Large Ensemble ◽  
The Impact

AbstractThe ongoing increases in anthropogenic radiative forcing have changed the global water cycle and are expected to lead to more intense precipitation extremes and associated floods. However, given the limitations of observations and model simulations, evidence of the impact of anthropogenic climate change on past extreme river discharge is scarce. Here, a large ensemble numerical simulation revealed that 64% (14 of 22 events) of floods analyzed during 2010-2013 were affected by anthropogenic climate change. Four flood events in Asia, Europe, and South America were enhanced within the 90% likelihood range. Of eight snow-induced floods analyzed, three were enhanced and four events were suppressed, indicating that the effects of climate change are more likely to be seen in the snow-induced floods. A global-scale analysis of flood frequency revealed that anthropogenic climate change enhanced the occurrence of floods during 2010-2013 in wide area of northern Eurasia, part of northwestern India, and central Africa, while suppressing the occurrence of floods in part of northeastern Eurasia, southern Africa, central to eastern North America and South America. Since the changes in the occurrence of flooding are the results of several hydrological processes, such as snow melt and changes in seasonal and extreme precipitation, and because a climate change signal is often not detectable from limited observation records, large ensemble discharge simulation provides insights into anthropogenic effects on past fluvial floods.

scholarly journals Heating and Cooling Degree-Days Climate Change Projections for Portugal

Atmosphere ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 715
Author(s):  
Cristina Andrade ◽  
Sandra Mourato ◽  
João Ramos
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
Thermal Comfort ◽  
Energy Demand ◽  
Residential Buildings ◽  
Degree Days ◽  
Climate Change Projections ◽  
Heating And Cooling ◽  
Cooling Degree Days ◽  
Heating Energy Demand

Climate change is expected to influence cooling and heating energy demand of residential buildings and affect overall thermal comfort. Towards this end, the heating (HDD) and cooling (CDD) degree-days along with HDD + CDD were computed from an ensemble of seven high-resolution bias-corrected simulations attained from EURO-CORDEX under two Representative Concentration Pathways (RCP4.5 and RCP8.5). These three indicators were analyzed for 1971–2000 (from E-OBS) and 2011–2040, and 2041–2070, under both RCPs. Results predict a decrease in HDDs most significant under RCP8.5. Conversely, it is projected an increase of CDD values for both scenarios. The decrease in HDDs is projected to be higher than the increase in CDDs hinting to an increase in the energy demand to cool internal environments in Portugal. Statistically significant linear CDD trends were only found for 2041–2070 under RCP4.5. Towards 2070, higher(lower) CDD (HDD and HDD + CDD) anomaly amplitudes are depicted, mainly under RCP8.5. Within the five NUTS II

Potential Future Changes of the Geographic Range Size of Juniperus phoenicea in Algeria based on Present and Future Climate Change Projections

2020 ◽  
Vol 13 (4) ◽  
pp. 429-441
Author(s):  
Abdelkrim Arar ◽  
Yassine Nouidjem ◽  
Rabah Bounar ◽  
Slimane Tabet ◽  
Yacine Kouba
Keyword(s):  
Climate Change ◽  
Geographic Range ◽  
Range Size ◽  
Future Climate ◽  
Future Climate Change ◽  
Climate Change Projections ◽  
Geographic Range Size ◽  
Juniperus Phoenicea

scholarly journals SSP-Based Land Use Change Scenarios: A Critical Uncertainty in Future Regional Climate Change Projections

2020 ◽  
Author(s):  
Melissa Bukovsky ◽  
Jing Gao ◽  
Linda O. Mearns ◽  
Brian O'Neill
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Land Use Change ◽  
Regional Climate ◽  
Regional Climate Change ◽  
Climate Change Projections

scholarly journals Robustness and uncertainty in terrestrial ecosystem carbon response to CMIP5 climate change projections

2012 ◽  
Vol 7 (4) ◽  
pp. 044008 ◽  
Author(s):  
A Ahlström ◽  
G Schurgers ◽  
A Arneth ◽  
B Smith
Keyword(s):  
Climate Change ◽  
Terrestrial Ecosystem ◽  
Climate Change Projections ◽  
Ecosystem Carbon

scholarly journals Towards bridging the gap between climate change projections and maize producers in South Africa

2017 ◽  
Vol 132 (3-4) ◽  
pp. 1153-1163 ◽  
Author(s):  
Willem A. Landman ◽  
Francois Engelbrecht ◽  
Bruce Hewitson ◽  
Johan Malherbe ◽  
Jacobus van der Merwe
Keyword(s):  
Climate Change ◽  
South Africa ◽  
Climate Change Projections

scholarly journals Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5

2013 ◽  
Vol 40 (9-10) ◽  
pp. 2123-2165 ◽  
Author(s):  
J.-L. Dufresne ◽  
M.-A. Foujols ◽  
S. Denvil ◽  
A. Caubel ◽  
O. Marti ◽  
...  
Keyword(s):  
Climate Change ◽  
Earth System Model ◽  
System Model ◽  
Earth System ◽  
Climate Change Projections
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