Accurate replication of the processes associated with the energetics of the tropical ocean is necessary if coupled GCMs are to simulate the physics of ENSO correctly, including the transfer of energy from the winds to the ocean thermocline and energy dissipation during the ENSO cycle. Here, we analyze ocean energetics in coupled GCMs in terms of two integral parameters describing net energy los...

Due to the considerable biases in general circulation models (GCMs) simulation, bias correction methods are required and widely applied reduce model for impact studies. This study evaluated performance of two methods, quantile delta mapping (QDM) scaled distribution (SDM), generating high-resolution daily maximum temperature (Tmax) minimum (Tmin) projections Canada using latest GCMs from Couple...

Abstract. This study investigates present and future European heat wave magnitudes, represented by the Heat Wave Magnitude Index-daily (HWMId), for regional climate models (RCMs) driving global (GCMs) over Europe. A subset of large EURO-CORDEX ensemble is employed to sources uncertainties related choice GCMs, RCMs, their combinations. We initially compare evaluation runs RCMs driven ERA-interim...

Thermal ionization mass spectrometry (T I M S). Fast atom bombardment mass spectrometry (F A B M S). . Inductively coupled mass spectrometry (I C P M S) Electron impact mass spectrometry (E I M S) and gas chromatography mass spectrometry (GCMS). Dosage considerations. Intrinsic or extrinsic tag. Intestinal transit time and study length Endogenously excreted elements .

Within the context of a working group supported by ISSI (Bern, Switzerland), we have made an intercomparison work between Global Circulation Models using simplified parameterizations for radiative forcing and other physical processes. Even with similar schemes and parameters, the different GCMs produce different circulations, illustrating interesting differences between dynamical model cores.

Extreme precipitation events are one of the most dangerous hydrometeorological disasters, often resulting in significant human and socio-economic losses worldwide. It is therefore important to use current global climate models project future changes extremes. The present study aims assess extremes over South Asia from Coupled Model Intercomparison Project Phase 6 (CMIP6) Global Climate Models (...

Based on the observational dataset CN05.1 and Coupled Model Intercomparison Project (CMIP), this study assesses performance of CMIP5 CMIP6 projects in projecting mean precipitation at annual seasonal timescales Yangtze River Basin China over period 2015–2020 under medium emission scenarios (RCP4.5/SSP2-4.5). Results indicate that multi-model ensemble (MME) overall has lower relative bias root-m...