Further Information

The "Central Europe Refined analysis" is now available

The Central Europe Refined analysis version 1 (CER v1) is a gridded atmospheric data set, created by dynamical downscaling of ERA-Interim reanalysis data using the Weather Research and Forecasting Model (WRF). The data set covers all of Europe (30 km resolution), Germany (10 km) and the German states of Berlin and Brandenburg (2 km) with its three domains. Currently, the data set covers the period 2001-2016 and will be extended until summer 2019.

Further details concerning the data: https://www.klima.tu-berlin.de/cer

New publication about the Qaidam Basin

On July 29, 2020, the article "Survival of the Qaidam mega-lake system under mid-Pliocene climates and its restoration under future climates." by
Dieter Scherer was published and can be viewed online at:

https://doi.org/10.5194/hess-24-3835-2020

EGU 2020

The Chair of Climatology participates with three first author contributions at this year's EGU. It is still possible to comment on the lectures online until June 30, 2020 and until May 31, 2020:

EGU2020-20666 | Displays | HS6.2/AS2.5
Changes in water balance of the Qaidam Basin from Pliocene to present day
Benjamin Schmidt, Xun Wang, Seabstian Mutz, Svetlana Botsyun, Todd Ehlers, and Dieter Scherer
https://meetingorganizer.copernicus.org/EGU2020/EGU2020-20666.html

EGU2020-8756 | Displays | HS6.2/AS2.5
High Asia Refined Analysis Version 2 (HAR v2): a New Atmospheric Data Set for the Third Pole Region
Xun Wang, Vanessa Tolksdorf, Marco Otto, and Dieter Scherer
https://meetingorganizer.copernicus.org/EGU2020/EGU2020-8756.html

EGU2020-19824 | Displays | CL2.10/HS13.12
High Andean Wetlands, climate change and ecosystem services - What do we know?
Marco Otto, Mónica Maldonado Fonken, Jan Baiker, and Richard Gibbons
https://meetingorganizer.copernicus.org/EGU2020/EGU2020-19824.html

A New Version of the High Asian Refined Analysis (HAR v2) is Now Available

The High Asian Refined analysis version 2 (HAR v2) is generated by dynamical downscaling of ERA5 reanalysis data using the Weather Research and Forecasting model (WRF). Compared to the old version (HAR), HAR v2 has an extended 10 km domain and a longer temporal coverage. It will be extended back to 1979 and will be continuously updated in the future. Currently, HAR v2 is available from 2004 to 2018.

For more detail visit: https://www.klima.tu-berlin.de/HARv2

Daniel Fenner receives Max-Margules Award 2020

For his publication "Intra and inter 'local climate zone' variability of air temperature as observed by crowdsourced citizen weather stations in Berlin, Germany" Daniel Fenner from the Chair of Climatology, Institute of Ecology at the Technische Universität Berlin was awarded the Max-Margules Award 2020.

The Austrian Meteorological Society (ÖGM) awards the Max-Margules Awards every three years. The award is given to a young scientist in recognition of a high-quality work in the field of meteorology and climatology, published in the scientific journal "Meteorologische Zeitschrift" in the last three years. The winner is selected by a prize committee consisting of four academics.

The official announcement can be found here.

9th Japanese-German Meeting on Urban Climatology 2020 postponed to 2021!

Dear Japanese and German colleagues,
due to the developments associated with the COVID-19 pandemic, we have decided to postpone the 9th Japanese-German Meeting on Urban Climatology to next year 2021. As soon as we have a new meeting date for JGM9, we will send out a new call for registration and abstracts. We sincerely apologize for any inconvenience this may cause. We hope that you and your families remain healthy during this challenging time and looking forward to meet all of you next year in Berlin for personal exchange and scientific discussions in the field of urban climatology. Kind regards and best wishes on behalf of the organization team,
Dieter Scherer
Ute Fehrenbach
Achim Holtmann
Fred Meier
Elke Thiessenhusen

New Publications

Vulova, S.V., Meier, F., Fenner, D., Nouri, H., Kleinschmit, B. (2020):
Summer Nights in Berlin, Germany: Modeling Air Temperature Spatially With Remote Sensing, Crowdsourced Weather Data, and Machine Learning. IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, p.1. DOI: 10.1109/JSTARS.2020.3019696.

Venter, Z.S., Brousse, O., Esau, I., Meier, F. (2020):
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data. Remote Sensing of Environment 242, p.111791. DOI: 10.1016/j.rse.2020.111791.

Scherer, D. (2020):
Survival of the Qaidam mega-lake system under mid-Pliocene climates and its restoration under future climates. Hydr. and Earth System Sc., 24(7), 3835-3850. DOI: 10.5194/HESS-24-3835-2020.

Krug, A., Fenner, D., Mücke, H.-G., Scherer, D. (2020):
The contribution of air temperature and ozone to mortality rates during hot weather episodes in eight German cities during the year 2000 and 2017.

Wang, X., Tolksdorf, V., Otto, M., Scherer, D. (2020):
WRF-based Dynamical Downscaling of ERA5 Reanalysis Data for High Mountain Asia: Towards a New Version of the High Asia Refined Analysis. Int. J. Climatol. DOI: 10.1002/joc.6686
Link

Rost, A.T., Liste, V., Seidel, C., Matscheroth, L., Otto, M., Meier, F., Fenner, D. (2020):
How Cool Are Allotment Gardens? A Case Study of Nocturnal Air Temperature Differences in Berlin, Germany. Atmosphere 2020, 11, 500.
Link

Droste, A. M., B. G. Heusinkveld, D. Fenner, G.-J. Steeneveld (2020):
Assessing the potential and application of crowdsourced urban wind data.Q. J. R. Meteorol. Soc. DOI: 10.1002/qj.3811.
Link

Zander, S. V., O. Brousse, I. Esau, F. Meier (2020):
Hyperlocal mapping of urban air temperature using remote sensing and crowdsourced weather data, Remote Sensing of Environment, Volume 242, 2020, 111791
Link

Archive

Here you get an overview of important events in the past: Archive

Postal address:

Fachgebiet Klimatologie
Institut für Ökologie
TU Berlin
Rothenburgstraße 12
D-12165 Berlin

Location

Office:

Elke Thiessenhusen

room: AB1-110
opening hours:
Monday - Thursday
9am - 2pm
Tel: +49-(0)30-314-73195
Fax: +49-(0)30-314-71355