NP
Nonlinear Processes in Geosciences
Tommaso Alberti

Tommaso Alberti

I am a researcher at the Institute for Space Astrophysics and Planetology, an Institute within INAF (National Institute for Astrophysics), in Rome, Italy. My work focuses on nonlinear dynamical system approaches and data analysis in geosciences with particular interests in solar wind – magnetosphere – ionosphere interactions and coupling, space and near-Earth plasma turbulence, and Earth’s climate dynamics. I am the Early Career Scientists Representative for the Nonlinear Processes in Geosciences (NP) Division.

NP Campfire: “Perspectives on Climate Science: from historical developments to research frontiers”

January 19, 2021
NP Campfire: “Perspectives on Climate Science: from historical developments to research frontiers”

Recently, the European Geosciences Union (EGU) started to support a new type of event called ‘Campfires’ that will give the Divisions the freedom to run online interactive events in a way that suits their needs. This allows the EGU Divisions to encourage interactions in their research communities through virtual informal meetings. In this framework, and thanks to a group of young and established s ...[Read More]

NPG Paper of the Month: “Statistical postprocessing of ensemble forecasts for
 severe weather at Deutscher Wetterdienst”

December 23, 2020
NPG Paper of the Month: “Statistical postprocessing of ensemble forecasts for
 severe weather at Deutscher Wetterdienst”
Probabilities of wind gusts higher than 14 m/s on
a regular 1 km grid over Germany; 13 h forecast lied time from Ensemble-MOS for COSMO-DE-EPS from 29 October 2018. Licence: Statistical postprocessing of ensemble forecasts for severe weather at Deutscher Wetterdienst.

The October 2020 NPG Paper of the Month award goes to Reinhold Hess for the paper “Statistical postprocessing of ensemble forecasts for 
severe weather at Deutscher Wetterdienst“. Ensemble Forecasting rose with the understanding of the limited predictability of weather. In a perfect ensemble system, the obtained ensemble of forecasts expresses the distribution of possible weather scena ...[Read More]

NPG Paper of the Month: “Applications of matrix factorization methods to climate data”

December 7, 2020
NPG Paper of the Month: “Applications of matrix factorization methods to climate data”
Spatial patterns of geopotential height anomalies corresponding to thek-means centroids (first column), archetypes (secondcolumn), convex coding basis vectors. License: https://doi.org/10.5194/npg-27-453-2020

The September 2020 NPG Paper of the Month award goes to Dylan Harries and Terence J. O’Kane for their paper “Applications of matrix factorization methods to climate data” (https://doi.org/10.5194/npg-27-453-2020). Dylan is a postdoctoral fellow within the Oceans and Atmosphere business unit of CSIRO (Australia). His current research focuses on methods for learning reduced-order models from d ...[Read More]

Perspectives on Climate Science: from historical developments to research frontiers

October 5, 2020
Perspectives on Climate Science: from historical developments to research frontiers

Breaking news: a bizarre early-September snowstorm dumped snow from Montana to New Mexico, a medicane hit Southern Italian regions and Greece, heatwaves and droughts are expected to increase in the future… These extreme events are becoming more and more frequent and one question spontaneously arises: is climate change making the weather more extreme? This is one of the reasons why climate change i ...[Read More]