Results 61 to 70 of about 34,794 (238)
International Journal of Climatology, EarlyView.This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano +5 more
wiley +1 more source
Environmental Research Letters, 2021 Seasonal drought occurrences are found to increase across different regions over China under global warming, but with large uncertainties among models. With ten selected Coupled Model Intercomparison Project Phase 5 (CMIP5) climate models and seven CMIP6
Sisi Chen, Xing Yuan
doaj +1 more source
Sahel rainfall in multimodel CMIP5 decadal hindcasts [PDF]
Geophysical Research Letters, 2014 This study assesses the capability of Coupled Model Intercomparison Project 5 (CMIP5) decadal hindcasts to represent Sahel rainfall and a relative sea surface temperature (SST) index (RSI). The RSI measures the relative difference between subtropical North Atlantic SST and tropical SST and is highly correlated with Sahel rainfall.
E. R. Martin, C. Thorncroft
openaire +1 more source
Projected Evolution of Climatic Aridity in Spain: Robust Signals and Model Uncertainties
International Journal of Climatology, EarlyView.This study examines the projected evolution of climatic aridity in Spain throughout the 21st century, using the UNEP Aridity Index and CMIP6 simulations under different emission scenarios and global warming levels. Despite model biases, results show a general increase in aridity across the country, particularly in southern regions and the Canary ...
Víctor Trullenque‐Blanco +5 more
wiley +1 more source
Response of microbial decomposition to spin-up explains CMIP5 soil carbon range until 2100 [PDF]
Geoscientific Model Development, 2014 Soil carbon storage simulated by the Coupled Model Intercomparison Project (CMIP5) models varies 6-fold for the present day. Here, we confirm earlier work showing that this range already exists at the beginning of the CMIP5 historical simulations.
J.-F. Exbrayat +2 more
doaj +1 more source
Underestimating Internal Variability Leads to Narrow Estimates of Climate System Properties [PDF]
, 2019 Probabilistic estimates of climate system properties often rely on the comparison of model simulations to observed temperature records and an estimate of the internal climate variability.
Forest, CE +3 more
core +1 more source
Projected Annual and Monsoonal Precipitation Trends of CMIP6 Over Peninsular Malaysia
International Journal of Climatology, EarlyView.In this study, we examined historical and projected precipitation temporal trends across Peninsular Malaysia using ground‐based records and CMIP6 models from NEX‐GDDP. Analysing data from 518 reliable gauges over 1973–2022, it identified spatial and monsoonal variations.
Nurul Afiqah Mohamad Arbai +1 more
wiley +1 more source
Reservoir yield intercomparison of large dams in Jaguaribe Basin-CE in climate change scenarios
RBRHClimate changes can have different impacts on water resources. Strategies to adapt to climate changes depend on impact studies. In this context, this study aimed to estimate the impact that changes in precipitation, projected by Global Circulation Models
Renato de Oliveira Fernandes +3 more
doaj +1 more source
Increasing impacts of extreme droughts on vegetation productivity under climate change [PDF]
, 2019 Terrestrial gross primary production (GPP) is the basis of vegetation growth and food production globally1 and plays a critical role in regulating atmospheric CO2 through its impact on ecosystem carbon balance.
Christoffersen, Bradley O +7 more
core +3 more sources
What Do Latest CMIP6 Global Climate Models Say About Future Arctic Sea Ice Coverage Changes?
International Journal of Climatology, EarlyView.Modelling of sea ice dynamics has significantly improved between CMIP5 and CMIP6, with nearly three times as many models capturing realistic annual variability in sea ice extent (SIE). What we previously thought was a non‐linear pattern of low SIE observations in 2007–2010 that would continue throughout time now appears to be non‐record‐setting lows in
Jessica L. Matthews +4 more
wiley +1 more source