Person

Sebastiano Piccolroaz

This person is no longer with EPFL

Related publications (12)

Impacts of climate change on Swiss alluvial aquifers - A quantitative forecast focused on natural and artificial groundwater recharge by surface water infiltration

Sebastiano Piccolroaz

The sensitivity of future groundwater recharge and temperature development was investigated for three alluvial aquifers in the urban agglomeration of the city of Basel, Switzerland. For selected climate projections groundwater recharge and the associated t ...
ELSEVIER2022

On the role of local depth and latitude on surface warming heterogeneity in the Laurentian Great Lakes

Sebastiano Piccolroaz, Marco Toffolon, Elisa Calamita

Lake surface water temperature (LSWT) responds rapidly to changes in climatic variables. This response is heterogeneous in space and its spatial distribution is primarily influenced by lake bathymetry and latitude. Such heterogeneity is not captured by one ...
2021

A multi-site, year-round turbulence microstructure atlas for the deep perialpine Lake Garda

Sebastiano Piccolroaz, Marco Toffolon, Bieito Fernandez Castro

A multi-site, year-round dataset comprising a total of 606 high-resolution turbulence microstructure profiles of shear and temperature gradient in the upper 100 m depth is made available for Lake Garda (Italy). Concurrent meteorological data were measured ...
2021

Warming of lowland Polish lakes under future climate change scenarios and consequences for ice cover and mixing dynamics

Sebastiano Piccolroaz

Study region: The study region comprises 25 lowland Polish lakes in the northern part of the country. The studied lakes provide domestic, industrial and agricultural water supply, and are major attractions for tourism, thus playing a significant role in th ...
2021

Multi-scale evaluation of a 3D lake model forced by an atmospheric model against standard monitoring data

Sebastiano Piccolroaz, Marco Toffolon

Evaluating a three-dimensional lake model requires large datasets of many variables, including velocity fields, that are seldom available. Here we discuss how to assess the performance of a model at multiple scales (in time and space) with data from standa ...
2021

A dual-layer MPI continuous large-scale hydrological model including Human Systems

Sebastiano Piccolroaz

Large-scale hydrological models are demanding both in term of memory allocation and CPU time, particularly when assessment of modeling uncertainty is required. High Performance Computing offers the opportunity to reach resolutions not achievable with stand ...
2021

Moored observations of turbulent mixing events in deep Lake Garda, Italy

Sebastiano Piccolroaz, Marco Toffolon

Deep water circulation and mixing processes are responsible for the transport of matter, nutrients and pollutants in deep lakes. Nevertheless, detailed continuous observations are rarely available. To overcome some of these deficiencies and with the aim of ...
2021

Changing nutrient cycling in Lake Baikal, the world's oldest lake

Sebastiano Piccolroaz

Lake Baikal, lying in a rift zone in southeastern Siberia, is the world's oldest, deepest, and most voluminous lake that began to form over 30 million years ago. Cited as the "most outstanding example of a freshwater ecosystem" and designated a World Herit ...
NATL ACAD SCIENCES2020

Ice Cover and Extreme Events Determine Dissolved Oxygen in a Placid Mountain Lake

Sebastiano Piccolroaz

A decrease in hypolimnetic dissolved oxygen (DO) is a commonly seen effect of climate change. However, in oligotrophic Lake Tovel (Italy), a deep mountain lake, annual mean DO (% saturation) has increased from near anoxia to >20% in the bottom layer (35–39 ...
2020

Prediction of river water temperature: a comparison between a new family of hybrid models and statistical approaches

Aurélien Gallice, Sebastiano Piccolroaz, Marco Toffolon, Elisa Calamita

River water temperature is a key physical variable controlling several chemical, biological and ecological processes. Its reliable prediction is a main issue in many environmental applications, which however is hampered by data scarcity, when using data-de ...
Wiley-Blackwell2016

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