scispace - formally typeset
P

Peter Fabian

Researcher at Technische Universität München

Publications -  49
Citations -  3424

Peter Fabian is an academic researcher from Technische Universität München. The author has contributed to research in topics: Stratosphere & Peroxyacetyl nitrate. The author has an hindex of 22, co-authored 49 publications receiving 3258 citations. Previous affiliations of Peter Fabian include Ludwig Maximilian University of Munich & Max Planck Society.

Papers
More filters
Journal ArticleDOI

Growing season extended in Europe

TL;DR: Analysis of data from more than 30 years of observation in Europe finds that spring events, such as leaf unfolding, have advanced by 6 days, whereas autumn events have been delayed by 4.8 days, which means that the average annual growing season has lengthened by 10.8 Days since the early 1960s.
Journal ArticleDOI

Spatial and temporal variability of the phenological seasons in Germany from 1951 to 1996

TL;DR: This analysis of phenological seasons in Germany of more than four decades has several major advantages: a wide and dense geographical coverage of data from the phenological network of the German Weather Service, and the 16 phenophases analysed cover the whole annual cycle and give a direct estimate of the length of the growing season for four deciduous tree species.
Journal ArticleDOI

Free-Air Exposure Systems to Scale up Ozone Research to Mature Trees

TL;DR: Three different O(3) Free-Air Exposure Systems that have been used successfully for exposure at all growth stages are described and shown to provide reliable O( 3) exposure with minimal, if any, impact on the microclimate.
Journal ArticleDOI

Tropospheric trends for CF4 and C2F6 since 1982 derived from SF6 dated stratospheric air

TL;DR: In this paper, the long-lived trace gases CF4, C2F6, and SF6 have been measured using balloon borne cryosampling from altitudes of up to 34 km between 1987 and 1995.
Journal ArticleDOI

Forest climatology: estimation of missing values for Bavaria, Germany

TL;DR: In this paper, the authors examined six methods for estimating missing climatological data (daily maximum temperature, minimum temperature, air temperature, water vapour pressure, wind speed and precipitation) for different time scales at six German weather stations and three Bavarian forest climate stations.