Department für Geographie






Clemens Schwingshackl

Dr. Clemens Schwingshackl



Lehr- und Forschungseinheit Physische Geographie und Landnutzungssysteme
Luisenstraße 37
80333 München


Luisenstraße 37
Dritter Stock
80333 München
Raum A203

Tel.: +49 (0) 89 / 2180 - 6542


Weitere Informationen zur Person

My publication list can be found on Google Scholar.

Lehr - und Aufgabenbereiche

07/2023 - 07/2023
Kl. Exkursion: Meteorologisches Observatorium am Hohenpeißenberg & Bergwerksmuseum Peißenberg

04/2023 - 07/2023
Übung Analyse räumlicher und zeitlicher Daten

10/2022 - 02/2023
Projektseminar Hitzestress in Städten

04/2022 - 07/2022
Übung Analyse räumlicher und zeitlicher Daten

10/2021 - 02/2022
Projektseminar Hitzestress in Städten

04/2021 - 07/2021
Übung Analyse räumlicher und zeitlicher Daten

02/2021 - 03/2021
Projektseminar Hitzestress in Städten


Global Carbon Cycle

In December 2022, we published an article that shows how estimates of emissions from land use, land use change, and forestry from different datasets can be reconciled at the country-level (Schwingshackl et al., 2022). We show that the reconciliation is generally successful for various countries, and we identify potential reasons for remaining differences.

The newest assessment of the global carbon cycle, for which I preprocessed the data for calculating CO2 emissions from land use change, can be found in the Global Carbon Budget 2022.

Land Use, Land-Use Change and Forestry (LULUCF)

A review about the current state, recent progress, and emerging topics of land use effects on climate, to which I contributed, is published here.

Heat stress in cities

A group of students that I supervised in the project seminar "Heat stress in cities" developed a method that can be used to monitor the effectiveness of measures to mitigate urban heat islands based on Landsat satellite data. They published the results using the city of Stuttgart as a case study (Seeberg et al. 2022).

Heat stress projections

Using several heat stress indicators, I performed an assessment of future trends and exceedances of impact-relevant thresholds based on CMIP6 models (Schwingshackl et al. 2021).