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International Journal of Climatology · 2026 · Vol. 46 · Issue 6 · Wiley
This study investigates the climate change signal over Italy using the regional climate model COSMO‐CLM v6.0‐clm1, driven by the CMCC‐CM‐SR5 global model under the CMIP6 scenarios SSP1‐2.6 and SSP3‐7.0. The added value of the high‐resolution COSMO‐CLM simulation is analysed by comparison with state‐of‐the‐art references. Fine‐scale spatial patterns for temperature and precipitation were assessed using E‐OBS observational datas...
Climate Dynamics · 2024 · Vol. 62 · Issue 6 · Springer
The increase in computational resources has enabled the emergence of multi-model ensembles of convection-permitting regional climate model (CPRCM) simulations at very high horizontal resolutions. An example is the CORDEX Flagship Pilot Study on “Convective phenomena at high resolution over Europe and the Mediterranean”, a set of kilometre-scale simulations over an extended Alpine domain. This first-of-its-kind multi-model ense...
Climate Dynamics · 2023 · Vol. 61 · Issue 9-10 · Springer
This study presents a comprehensive assessment of a dynamical downscaling of ERA5 Reanalysis recently performed over Italy through the COSMO-CLM model at a convection-permitting scale (0.02°) over the period 1989–2020. Results are analysed against several independent observational datasets and reanalysis products. The capability of the downscaling to realistically represent the climatology for 2 m temperature and precipitation...
Climate Dynamics · 2021 · Vol. 57 · Issue 1-2 · Springer
Here we present the first multi-model ensemble of regional climate simulations at kilometer-scale horizontal grid spacing over a decade long period. A total of 23 simulations run with a horizontal grid spacing of $$\sim $$ ∼ 3 km, driven by ERA-Interim reanalysis, and performed by 22 European research groups are analysed. Six different regional climate models (RCMs) are represented in the ensemble. The simulations are compared...
Environmental Microbiology · 2013 · Vol. 15 · Issue 6 · Wiley
Summary We used a combination of molecular and microbiological approaches to determine the activity, abundance and diversity of archaeal populations inhabiting meromictic saline L ake F aro ( M essina, I taly). Analysis of archaeal 16 S rRNA , amoA , accA and hbd genes and transcripts revealed that sub‐ and anoxic layers of L ake F aro are primarily inhabited by the organisms related to the clusters of M arine G roup I .1a of...