Dr. A.A. Nuijens
Dr. A.A. Nuijens
Research interests
My research interests focus on the myriad of smaller cumulus clouds that are ubiquitous over tropical oceans, where they are often called "trade-wind cumuli", as well as over land during fairweather. The interaction of these cumuli with atmospheric circulations on much larger scales are thought to be critical for Earth's climate. I am also interested in the processes that shape cloudiness, precipitation and the energy and momentum budget of the atmospheric boundary layer. In my work I use observations, including field campaign data, satellite data and (re-)analysis products; theoretical models, including bulk models of the cloudy boundary layer or column models of the tropical atmosphere; and Large-Eddy Simulation.
Expertise
Publications
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2024
Momentum Transport in Organized Shallow Cumulus Convection
Alessandro C.M. Savazzi / Louise Nuijens / Wim De Rooy / Martin Janssens / A. Pier Siebesma
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2023
Combined wind lidar and cloud radar for high-resolution wind profiling
J. Dias Neto / L. Nuijens / C. Unal / S. Knoop
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2022
Clouds Blowing in the Wind: Momentum Transport in Cloudy Boundary Layers Observed From Collocated Wind Lidar and Cloud Radars and Simulated With Dales
José Dias Neto / Louise Nuijens / Christine Unal / Steven Knoop
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2022
Momentum fluxes from airborne wind measurements in three cumulus cases over land
Ada Mariska Koning / Louise Nuijens / Christian Mallaun / Benjamin Witschas / Christian Lemmerz
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2022
Momentum transport and the organization of shallow convection
A.C.M. Savazzi / Louise Nuijens / Wim C. De Rooy / A.P. Siebesma
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Media
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2019-05-24
Vidi grants
Appeared in: TU Delft nieuws
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2017-11-29
I am a scientist
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2017-10-05
The stilling: global wind speeds slowing since 1960
Appeared in: Horizon EU Research and Innovation Magazine
Prizes
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2019-5-24
Vidi grant
Research topic: Clouds often visualize how the wind blows, but rarely are cloud measurements used to understand how clouds themselves change winds. This project will combine unique measurements with fine-scale simulations to unravel the patterns of wind in many diverse cloud fields. This insight is used to improve weather prediction models.
Ancillary activities
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2016-12-01 - 2024-12-31