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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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Climatologies at high resolution for the earth’s land surface areas

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

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

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.
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Mapping local climate zones for a worldwide database of the form and function of cities

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.
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Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX)

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.