Weather and Climate

The atmosphere is a fascinating, dynamic system, which affects and reacts on effects from oceans, the icecaps and glaciers on our planet – it even affects the length of the day. Our main interest in the meteorology group is to understand and develop models of the fundamental physical processes in the atmosphere, these being the key to numerical weather predictions (NWP), climate, air quality and pollution.

Meteorology is an expansive scientific field, which draws on a series of physical disciplines, from geophysical fluid dynamics, thermodynamics and turbulence to optical emission to space. Our observations of the atmosphere are on the technological forefront, due to a strong scientific and technological development in recent years.

























Name Title Phone E-mail
Alerskans, Emy Maria Karin PhD Student +4539157248 E-mail
Baklanov, Alexander Affiliate Professor +4553826357 E-mail
Bekkevold, Ivanka M Orozova External Postdoc +4535324213 E-mail
Christensen, Jens Hesselbjerg Professor +4535335658 E-mail
Erenbjerg, Sissal Vagsheyg Enrolled PhD Student   E-mail
Felemban, Lamees Refat M PhD Student   E-mail
Hansen, Aksel Walløe Associate Professor Emeritus +4535320567 E-mail
Kaas, Eigil Professor +4535320514 E-mail
Lauritzen, Mikkel Langgaard PhD Fellow   E-mail
Lin, Jiamei Attendant FU   E-mail
Matte, Dominic Postdoc +4535335508 E-mail
Tølløse, Kasper Skjold Industrial PhD +4535322786 E-mail
Ukkonen, Peter Valentin PhD Student +4535330079 E-mail

Using pressure measurements from smartphones


Using pressure measurements from smartphones

This PhD project is about aggregating and using crowdsourced data for use in numerical weather predictions. Good examples of such data could be private weather stations, wind measurements from handheld units and pressure observations from modern smartphones. This PhD project has a primary focus on the latter.

Modern smartphones come with a built-in barometric sensor, which can detect even minor pressure changes. The sensor is primarily used to identify altitude changes for the user of the mobile device, related to, for example, a run or a bike trip. The data from such a sensor is more accurate than the GPS system and uses significantly less power. This is possible as the pressure decreases with increasing altitude.

The pressure is an essential parameter for calculations related to the weather, and this is the reason why this PhD project attempts to exploit the usefulness of such data. For validation and correction, different types of statistical analysis are applied.

The data is collected from real users through an app for smartphones (iOS and Android). The data is stored on a secure server and is used in this project only. It is not handed on to other parties. The data is anonymous in the sense that no email, name, address or similar related to the pressure observations are known.


Name Titel
Jonas Hermann Damsbo MSc. Student
José Carlos Lozano García MSc. Student
José Peña MSc. Student