Results 111 to 120 of about 31,792 (349)
ERA5-Land selected indicators daily aggregates for the Latin America region, 1984
Raphael de Freitas Saldanha
openalex +1 more source
The predictability of western and eastern North Pacific blocking events is assessed using analogue‐based diagnostics. Eastern blocks exhibit lower predictability, characterized by faster error growth and higher mean logarithmic divergence rates. The study highlights geographical contrasts in blocking stability.
Anupama K. Xavier +3 more
wiley +1 more source
Variability of Heat and Water Fluxes in the Red Sea Using ERA5 Data (1981–2020) [PDF]
Hazem Nagy +2 more
openalex +1 more source
We quantified the causal effect (CE) of linkages between four monthly climate indices ENSO, SMHP, RWC, and MHC for 1940–2022 with a time lag of one month. The results show CE values from (1) ENSO to SMHP of −0.33$$ -0.33 $$ to −0.44$$ -0.44 $$ (i.e., a one standard deviation (SD) increase in ENSO causes a decrease in SMHP of −0.33$$ -0.33 $$ to −0.44$$
Grzegorz Muszynski +5 more
wiley +1 more source
The Central Europe Refined Analysis (CER) was developed in 2016 as a high-resolution, reanalysis-based, gridded data set for Central Europe and the Berlin-Brandenburg metropolitan region of Germany in particular.
Frederik Bart +6 more
doaj +1 more source
Short‐term extreme rainfall can be produced by the variation of low‐level warm moist airflow during mesoscale convective systems (MCSs) approaching another. The cold outflow of the rapidly moving MCS intensifies the warm moist airflow in front, enhancing the convergence and ascending motion in the quasi‐stationary MCS.
Xiaoyu Gao +3 more
wiley +1 more source
Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 [PDF]
Understanding regional climate model (RCM) capabilities to simulate current climate informs model development and climate change assessments. This is the first evaluation of the NARCliM2.0 ensemble of seven Weather Forecasting and Research RCMs driven by
G. Di Virgilio +13 more
doaj +1 more source
Improving the spatial accuracy of extreme tropical cyclone rainfall in ERA5 using deep learning
Guido Ascenso +5 more
openalex +1 more source
This study investigates year‐round exceptionally poor and good day‐6 forecasts of the 500‐hPa geopotential height field over Europe using 45 years of ERA5 reforecasts and applies a weather regime perspective to analyse large‐scale pattern evolution and regime transitions.
Seraphine Hauser +4 more
wiley +1 more source

