Variations in heating and cooling degree-days in the south-eastern USA, 1960–1989

1995 ◽  
Vol 15 (4) ◽  
pp. 355-367 ◽  
Author(s):  
Peter T. Soulé ◽  
Philip W. Suckling
Keyword(s):  
Degree Days ◽  
The South ◽  
South Eastern ◽  
Heating And Cooling ◽  
Eastern Usa ◽  
Cooling Degree Days

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

scholarly journals Future climate change impacts on residential heating and cooling degree days in Serbia

Időjárás ◽  
2019 ◽  
Vol 123 (3) ◽  
pp. 351-370 ◽  
Author(s):  
Aleksandar Janković ◽  
Zorica Podraščanin ◽  
Vladimir Djurdjevic
Keyword(s):  
Climate Change ◽  
Climate Change Impacts ◽  
Future Climate ◽  
Future Climate Change ◽  
Degree Days ◽  
Heating And Cooling ◽  
Residential Heating ◽  
Cooling Degree Days

Potential adaptation strategies for rainfed soybean production in the south-eastern USA under climate change based on the CSM-CROPGRO-Soybean model

2015 ◽  
Vol 153 (5) ◽  
pp. 798-824 ◽  
Author(s):  
Y. BAO ◽  
G. HOOGENBOOM ◽  
R. W. McCLENDON ◽  
J. O. PAZ
Keyword(s):  
Climate Change ◽  
Adaptation Strategies ◽  
Climate Scenarios ◽  
The South ◽  
Soybean Production ◽  
Impact Of Climate Change ◽  
South Eastern ◽  
Eastern Usa ◽  
Potential Impact ◽  
Potential Adaptation

SUMMARYDue to the potential impact of climate change and climate variability on rainfed production systems, both farmers and policy makers will have to rely more on short- and long-term yield projections. The goal of this study was to develop a procedure for calibrating the Cropping System Model (CSM)-CROPGRO-Soybean model for six cultivars, to determine the potential impact of climate change on rainfed soybean for five locations in Georgia, USA, and to provide recommendations for potential adaptation strategies for soybean production in Georgia and other south-eastern states. The Genotype Coefficient Calculator (GENCALC) software package was applied for calibration of the soybean cultivar coefficients using variety trial data. The root mean square error (RMSE) between observed and simulated grain yield ranged from 201 to 413 kg/ha for the six cultivars. Generally, the future climate scenarios showed an increase in temperature which caused a decrease in the number of days to maturity for all varieties and for all locations. This will benefit late-planted soybean production slightly, while the increase in precipitation and carbon dioxide (CO2) concentration will result in a yield increase. This was the highest for Calhoun and Williamson and ranged from 31 to 49% for the climate change projections for 2050. However, a large reduction in precipitation caused a decrease in yield for Midville, especially based on the climate scenarios of the Global Climate Models (GCMs) Commonwealth Scientific and Industrial Research Organisation's model CSIRO-Mk3.0 and Geophysical Fluid Dynamics Laboratory's model GFDL-CM2.1. Overall, Calhoun, Williamson, Plains and Tifton will probably be more suitable for rainfed soybean production over the next 40 years than Midville. Farmers might shift to a later planting date, around 5 June, for the locations that were evaluated in the present study to avoid potential heat and drought stress during the summer months. The cultivars AG6702, AGS758RR and S80-P2 could be selected for rainfed soybean production since they had the highest rainfed yields among the six cultivars. In general, the present study showed that there are crop management options for soybean production in Georgia and the south-eastern USA that are adapted for the potential projected climate change conditions.

Evolution of heating and cooling degree-days in Spain: Trends and interannual variability

2012 ◽  
Vol 92-93 ◽  
pp. 236-247 ◽  
Author(s):  
M.J. OrtizBeviá ◽  
G. Sánchez-López ◽  
F.J. Alvarez-Garcìa ◽  
A. RuizdeElvira
Keyword(s):  
Interannual Variability ◽  
Degree Days ◽  
Heating And Cooling ◽  
Cooling Degree Days

Program design for agroforestry extension in the south-eastern USA

2005 ◽  
Vol 4 (2) ◽  
pp. 149-161
Author(s):  
Sarah W. Workman ◽  
Martha C. Monroe ◽  
Alan J. Long
Keyword(s):  
Program Design ◽  
The South ◽  
South Eastern ◽  
Eastern Usa ◽  
Agroforestry Extension

Historical trends and current state of heating and cooling degree days in Italy

2015 ◽  
Vol 90 ◽  
pp. 323-335 ◽  
Author(s):  
Mattia De Rosa ◽  
Vincenzo Bianco ◽  
Federico Scarpa ◽  
Luca A. Tagliafico
Keyword(s):  
Degree Days ◽  
Historical Trends ◽  
Heating And Cooling ◽  
Current State ◽  
Cooling Degree Days
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