WebJul 1, 2024 · Furthermore, the seasonal cycle of the zonal SST gradient along the equator can explain approximately 24% and 27% of the variance in the ENSO phase-locking for CMIP5 and CMIP6, respectively. In particular, the strengths of the zonal SST gradient in the central-eastern Pacific during boreal spring and autumn are crucial. WebJul 1, 2024 · To complement the papers in this volume and to present a general view of the performance of CMIP6 models in simulating sea surface temperature (SST) and sea …
A global perspective on CMIP5 climate model biases - Nature
WebMar 10, 2024 · 3 The Mean State Bias Over the Tropical Indian Ocean. To illustrate the mean state bias over the tropical Indian Ocean in coupled climate models, we constructed the multi-model ensemble mean of climatological SON SST, rainfall, zonal wind stress, and ocean temperature using available CMIP5 and CMIP6 models over the PD period, and … WebDec 1, 2024 · This bias can be attributed to the limitations due to coarse resolution (Pilo et al., 2024) because coarse-resolution models underestimate the SST anomalies in eddy-rich regions. Currently, the CMIP has entered its sixth phase (CMIP6), with generally higher spatial resolutions and improved parameterization schemes for major physical processes ... greens side dish recipe
Understanding Models
WebNov 23, 2024 · The cold SST biases in NIO SST have reduced in the CMIP6 MME comparing with those in CMIP3 and CMIP5, as well as the upper-level cold biases, contributing to the improvement of SA summer rainfall simulation. ... Zou L, Zhou T, Wu B (2024) SST Bias over the Northwest Pacific in Oceanic data assimilation experiments … WebJun 26, 2024 · The warm SST bias in the CMIP6 multi-model ensemble (Figure 1e ), exceeding several degrees, mainly occurs along the coast between 25°N and 40°N, and … WebThe CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). ... high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local ... fnaf chris