Research

Students and post-docs with a background in physics / engineering / applied math, skill in programming, and an interest in climate dynamics are encouraged to contact claudia.pasquero_at_unimib.it to inquire for possible PhD and post-doc positions in our group.

Our research covers many aspects of ocean, atmospheric, and climate dynamics. We collect and use a variety of observational dataset (both in situ and remote data), reanalysis and models (WRF, ROMS, MITgcm, SPEEDY, as well as box modes) to do our research. Below, some current and recent projects are listed.

PETRICORE (PRIN 2026-2029)

Quantifying the role of soil moisture on precipitation across scales and regimes

PI C. Pasquero

[in collaboration with Simona Bordoni, UniTN, Luca Mortarini, UniMI, and Luca Brocca, CNR]

MATS (PRIN 2026-2029)

Modulation of the air-sea boundary layer turbulence by sub-mesoscale dynamics

coI A. Meroni

[in collaboration with Claudia Fanelli, CNR, Daniela Tordella, PoliTO,and Milena Menna, OGS]

LocCLIMA (PRIN 2023-2025)

Impact of LOCal conditions on the change of Italian microCLIMAtes

PI C. Pasquero

[in collaboration with Elisa Palazzi, UniTOand Jost von Hardenberg, PoliTO]

ICREN (PRIN 2023-2025)

Intense Convective Rainfall Events Nowcasting

coI C. Pasquero

[in collaboration with Giovanna Venuti, PoliMIand Stefano Federico, CNR]
link to codes

GLAUCO (ESA, 2021-2023)

Global and Local Atmospheric response to the Underlying Coupled Ocean

PI A.N. Meroni

EUREC4A-OA (JPI - Oceans and Climate 2021-2024)

Improving the representation of small-scale nonlinear oceanatmosphere interactions in Climate models by innovative joint observing and modelling approaches

CoI C Pasquero

[in collaboration with Sabrina Speich, ENS, France]

Ocean transport in the Maldivian Archipelago

[in collaboration with Annalisa Bracco, Georgia Tech., USA, and Chiara Defalco, PhD student in our group]
In the figure, vorticity at 50 m depth in the Indian Ocean in March 2015, from a ROMS simulation at 5 km resolution.

By means of high resolution long term simulations with ROMS (now we are at 1.5km grid spacing, the aim is to go to 500 m soon), we are studying mesoscale and submesoscale processes, largely generated in flow interactions with the bathymetry. We aim at understanding how they depend on monsoonal winds and climate modes of variability (ENSO, IOD).

Orographic precipitations

[in collaboration with Antonio Parodi, CIMA Foundation, Maurizio Maugeri, UniMi, Luca Ferrero, UniMiB, and Anna Napoli, PhD student in our group]
In the figure, annual mean precipitation from ~3000 rain-gauges in the Great Alpine Region

We are studying the role played by aerosols on orographic precipitations, by means of observational analysis and WRF modeling. The long term goal is to understand how humans are influencing precipitation, with a focus on mountains, the water towers for freshwater supply.

Climate modes of variability

[In collaboration with Eli Tziperman, Harvard Univ.,Mostafa Hamouda, PhD student in our group] In the figure, first EOF of Sea Level Pressure in a XXIII simulations of RCP8.5 emission scenario, corresponding to a modified Northern Annular Mode.
We are studying how climate modes of variability depend on the mean climatic state. This recently brought us to investigate the links between the stratospheric polar vortex, the Arctic Oscillation, and the North Atlantic oscillations.

Air-sea interactions in intense meteorological events

[in collaboration with Antonio Parodi, CIMA Foundation, Lionel Renault, UCLA, andAgostino Meroni, post-doc]
In the figure, domains of high resolution numerical simulations in the Mediterranean Region with WRF and ROMS coupled model.

We are studying air-sea interactions (role of SST anomalies and gradients on the atmospheric marine boundary layer and surface wind convergence/divergence, usefulness of simultaneous retrieval of surface wind speed and surface current from Doppler shift to estimate vertical velocity in the upper ocean), using both high resolution numerical ocean-atmosphere numerical simulations in both realistic and idealised settings, and satellite remote sensing data.

Tropical(-like) cyclones

In the figure, radar-derived precipitation (mm/hr) associated to Medicane Quendresa, November, 8th 2014, 5:00am, near Sicily (M. Bargna, thesis, 2016).

We are currently working on Medicane climatologies and their dependences on the mean climatic state, using high resolution (4km grid spacing) downscaling of reanalysis data and global model simulations.

Poster

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