PROJETA platform: accessing high resolution climate change projections over Central and South America using the Eta model

Agrometeoros ◽  
2018 ◽  
Vol 26 (1) ◽  
Author(s):  
Carlos Amaral Holbig ◽  
Angela Mazzonetto ◽  
Felipe Borella ◽  
Willingthon Pavan ◽  
José Maurício Cunha Fernandes ◽  
...  
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
South America ◽  
Climate Change Projections ◽  
Eta Model

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 An R package to access climate change data for South America regionalized by the Eta Model of CPTEC/INPE

2018 ◽  
Author(s):  
Marina Lopes Dezordi ◽  
Carlos Amaral Hölbig ◽  
Willingthon Pavan ◽  
José Maurício Cunha Fernandes
Keyword(s):  
Climate Change ◽  
South America ◽  
R Package ◽  
Eta Model

Este artigo apresenta um pacote R desenvolvido com o objetivo de facilitar o acesso de dados de mudanças climáticas para a América do Sul gerados pelo CPTEC/INPE. São apresentados alguns trabalhos relacionados que foram utilizados como base no desenvolvimento do pacote. O pacote possui funções para acesso a dados climáticos e funções que auxiliam na utilização das funções do próprio pacote. Com este pacote, desenvolvedores e usuários da linguagem R podem contar com uma ferramenta de fácil utilização para o acesso e a manipulação destes dados.

Future Climate Change Projections of the Kabul River Basin Using a Multi-model Ensemble of High-Resolution Statistically Downscaled Data

2018 ◽  
Vol 2 (3) ◽  
pp. 477-497 ◽  
Author(s):  
Syed Ahsan Ali Bokhari ◽  
Burhan Ahmad ◽  
Jahangir Ali ◽  
Shakeel Ahmad ◽  
Haris Mushtaq ◽  
...  
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
River Basin ◽  
Future Climate ◽  
Future Climate Change ◽  
Model Ensemble ◽  
Climate Change Projections ◽  
Kabul River

scholarly journals Erratum to: EURO-CORDEX: new high-resolution climate change projections for European impact research

2014 ◽  
Vol 14 (2) ◽  
pp. 579-581 ◽  
Author(s):  
Daniela Jacob ◽  
Juliane Petersen ◽  
Bastian Eggert ◽  
Antoinette Alias ◽  
Ole Bøssing Christensen ◽  
...  
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
Climate Change Projections ◽  
Impact Research

Climate change projections for Tamil Nadu, India: deriving high-resolution climate data by a downscaling approach using PRECIS

2015 ◽  
Vol 123 (3-4) ◽  
pp. 523-535 ◽  
Author(s):  
Prasanta Kumar Bal ◽  
A. Ramachandran ◽  
R. Geetha ◽  
B. Bhaskaran ◽  
P. Thirumurugan ◽  
...  
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
Tamil Nadu ◽  
Climate Data ◽  
Climate Change Projections

Downscaled climate change projections with uncertainty assessment over India using a high resolution multi-model approach

2013 ◽  
Vol 468-469 ◽  
pp. S18-S30 ◽  
Author(s):  
Pankaj Kumar ◽  
Andrew Wiltshire ◽  
Camilla Mathison ◽  
Shakeel Asharaf ◽  
Bodo Ahrens ◽  
...  
Keyword(s):  
Climate Change ◽  
High Resolution ◽  
Uncertainty Assessment ◽  
Climate Change Projections ◽  
Model Approach
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