O
Olaf Conrad
Researcher at University of Hamburg
Publications - 27
Citations - 5120
Olaf Conrad is an academic researcher from University of Hamburg. The author has contributed to research in topics: Precipitation & Downscaling. The author has an hindex of 15, co-authored 24 publications receiving 3623 citations. Previous affiliations of Olaf Conrad include University of Göttingen.
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Journal ArticleDOI
Climatologies at high resolution for the earth’s land surface areas
Dirk Nikolaus Karger,Olaf Conrad,Jürgen Böhner,Tobias Kawohl,Holger Kreft,Rodrigo Wilber Soria-Auza,Niklaus E. Zimmermann,H. Peter Linder,Michael Kessler +8 more
TL;DR: In this article, the authors presented the CHELSA (Climatologies at high resolution for the earth's land surface areas) data of downscaled model output temperature and precipitation estimates of the ERA-Interim climatic reanalysis to a high resolution of 30'arc'sec.
Posted ContentDOI
System for Automated Geoscientific Analyses (SAGA) v. 2.1.4
Olaf Conrad,Benjamin Bechtel,Michael Bock,Helge Dietrich,Elke Kerstin Fischer,Lars Gerlitz,Jan Wehberg,V. Wichmann,Jürgen Böhner +8 more
TL;DR: The wide spectrum of scientific applications of SAGA is highlighted in a review of published studies, with special emphasis on the core application areas digital terrain analysis, geomorphology, soil science, climatology and meteorology, as well as remote sensing.
Journal ArticleDOI
Climatologies at high resolution for the earth's land surface areas
Dirk Nikolaus Karger,Olaf Conrad,Jürgen Böhner,Tobias Kawohl,Holger Kreft,Rodrigo Wilber Soria-Auza,Niklaus E. Zimmermann,H. Peter Linder,Michael Kessler +8 more
TL;DR: It is shown that CHELSA climatological data has a similar accuracy as other products for temperature, but that its predictions of precipitation patterns are better and can increase the accuracy of species range predictions.
Journal ArticleDOI
Mapping local climate zones for a worldwide database of the form and function of cities
Benjamin Bechtel,Paul J. Alexander,Jürgen Böhner,Jason Ching,Olaf Conrad,Johannes J. Feddema,Gerald Mills,Linda See,Iain D. Stewart +8 more
TL;DR: The WUDAPT protocol developed here provides an easy to understand workflow; uses freely available data and software; and can be applied by someone without specialist knowledge in spatial analysis or urban climate science.
Journal ArticleDOI
Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX)
Benjamin Bechtel,Matthias Demuzere,Panagiotis Sismanidis,Daniel Fenner,Oscar Brousse,Christoph Beck,Frieke Van Coillie,Olaf Conrad,Iphigenia Keramitsoglou,Ariane Middel,Gerald Mills,Dev Niyogi,Marco Otto,Linda See,Marie-Leen Verdonck +14 more
TL;DR: Improvements of up to 20% in overall accuracy were found when multiple training datasets were used together to create a single LCZ map, and improvement was greatest for small training datasets, saturating at about ten to fifteen sets.