Dr. Daniel Fenner

Biographie

Daniel Fenner studierte an der Technischen Universität Berlin "Technischen Umweltschutz" im B.Sc. und M.Sc. Von 2014 bis 2020 war er wissenschaftlicher Mitarbeiter und Doktorand am Fachgebiet Klimatologie, Technische Universität Berlin. Seine Dissertation zum Thema "Heatwaves and urban thermal climates in Berlin, Germany" schloss er im Sommer 2020 ab. Von September 2020 bis September 2021 arbeitete er als Post-doc in der Arbeitsgruppe Stadtklimatologie, Ruhr-Universität Bochum. Seit Februar 2021 arbeitet er als Post-doc an der Professur für Umweltmeteorologie der Universität Freiburg.

Forschungsschwerpunkt

Seine Forschungsschwerpunkte sind die Untersuchung des städtischen Klimas, inbesondere des Phänomens der städtischen Wärmeinsel und der innerstädtischen Lufttemperaturvariabilität, Hitzewellen und deren Auswirkungen sowie die Nutzbarmachung von Messdaten privater Wetterstationen für die Atmosphärenforschung. Im Rahmen des urbisphere Projektes ist er verantwortlich für die Durchführung einer meteorologischen Feldkampagne zur Untersuchung der atmosphärischen Grenzschicht in und um Berlin, Deutschland, mit bodengestützten Fernerkundungssystemen.

Laufende Forschungsprojekte

• urbisphere (ERC Synergy Grant)

Preise

• Max-Margules Preis, Österreichische Gesellschaft für Meteorologie, 2020
• Student Oral Best Presentation Award, ICUC-10 / the 14th AMS Symposium on the Urban Environment, New York (USA), 2018
• Antje-Graupe-Pryor-Stipendium, McGill Universität Montreal (Kanada), 2009-2010

Reviewer- und Convener-Tätigkeit

Atmosphere, Earth System Science Data, Environmental Research: Infrastructure and Sustainability, Geophysical Research Letters, International Journal of Climatology, Journal of Climate, Meteorological Applications, Meteorologische Zeitschrift, Nature Cities, Urban Climate

Co-Convener der "Stadtklima"-Session der EGU General Assembly: 2022, 2023, 2024

Publikationen

Originalarbeiten in wissenschaftlichen Fachzeitschriften

• Fenner D, Christen A, Grimmond CSB, Meier F, Morrison W, Zeeman M, Barlow J, Birkmann J, Blunn L, Chrysoulakis N, Clements M, Glazer R, Hertwig D, Kotthaus S, König K, Looschelders D, Mitraka Z, Poursanidis D, Tsirantonakis D, Bechtel B, Benjamin K, Beyrich F, Briegel F, Feigel G, Gertsen C, Iqbal N, Kittner J, Lean H, Liu Y, Luo Z, McGrory M, Metzger S, Paskin M, Ravan M, Ruhtz T, Saunders B, Scherer D, Smith ST, Stretton M, Trachte K, Van Hove M 2024: urbisphere -Berlin campaign: Investigating multi-scale urban impacts on the atmospheric boundary layer. Bulletin of the American Meteorological Society, online first.
• Jin L, Schubert S, Fenner D, Salim MH, Schneider C,  2022: Estimation of mean radiant temperature in cities using an urban parameterization and building energy model within a mesoscale atmospheric model. Meteorologische Zeitschrift, 31 (1), 31 - 52.
• Schneider C, Neuwirth B, Schneider S, Balanzategui D, Elsholz S, Fenner D, Meier F, Heinrich I, 2022: Using the dendro-climatological signal of urban trees as a measure of urbanization and urban heat island. Urban Ecosystems, 25, 849-865.
• Brousse O, Simpson C, Walker N, Fenner D, Meier F, Taylor J, Heaviside C, 2022: Evidence of horizontal urban heat advection in London using six years of data from a citizen weather station network. Environmental Research Letters. 17, 044041.
• Fenner D, Bechtel B, Demuzere M, Kittner J, Meier F, 2021: CrowdQC+ - A Quality-Control for Crowdsourced Air-Temperature Observations Enabling World-Wide Urban Climate Applications. Frontiers in Environmental Science, 9, 720747.
• Varentsov M, Fenner D, Meier F, Samsonov T, Demuzere M, 2021: Quantifying Local and Mesoscale Drivers of the Urban Heat Island of Moscow with Reference and Crowdsourced Observations. Frontiers in Environmental Science, 9, 716968.
• Jin L, Schubert S, Fenner D, Meier F, Schneider C, 2021: Integration of a building energy model in an urban climate model and its application. Boundary-Layer Meteorology, 178, 249-281.
• Droste A, Heusinkveld BG, Fenner D, Steeneveld G-J, 2020: Assessing the potential and application of crowdsourced urban wind data. Quarterly Journal of the Royal Meteorological Society, 146(731 B), 2671-2688.
• 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 years 2000 and 2017. Natural Hazards and Earth System Sciences, 20(11), 3083–3097.
• Rost AT, 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, 11(5), 500.
• Vulova SV, 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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5074-5087.
• Fenner D, Holtmann A, Meier F, Langer I, Scherer D, 2019: Contrasting changes of urban heat island intensity during hot weather episodes. Environmental Research Letters, 14(12), 124013.
• Krug A, Fenner D, Holtmann A, Scherer D, 2019: Occurrence and coupling of heat and ozone events and their relation to mortality rates in Berlin, Germany, between 2000 and 2014. Atmosphere, 10(6), 348.
• Verdonck M-L, Demuzere M, Bechtel B, Beck C, Brousse O, Droste AM, Fenner D, Leconte F, Van Coillie F, 2019: The human influence experiment (part 2): guidelines for improved mapping of local climate zones using a supervised classification. Urban Science, 3, 27.
• Fenner D, Holtmann A, Krug A, Scherer D, 2019: Heat waves in Berlin and Potsdam, Germany - long‐term trends and comparison of heat wave definitions from 1893 to 2017. International Journal of Climatology, 39(4), 2422–2437.
• Napoly A, Grassmann T, Meier F, Fenner D, 2018: Development and application of a statistically-based quality control for crowdsourced air temperature data. Frontiers in Earth Science, 6, 118.
• Quanz JA, Ulrich S, Fenner D, Holtmann A, Eimermacher J 2018: Micro-scale variability of air temperature within a local climate zone in Berlin, Germany, during summer. Climate, 6, 5.
• Bechtel B, Demuzere M, Sismanidis P, Fenner D, Brousse O, Beck C, Van Coillie F, Conrad O, Keramitsoglou I, Middel A, Mills G, Niyogi D, Otto M, See L Verdonck M-L, 2017: Quality of crowdsourced data on urban morphology - The Human Influence Experiment (HUMINEX). Urban Science, 1(2), 15.
• Fenner D, Meier F, Bechtel B, Otto M, Scherer D, 2017: Intra and inter “local climate zone” variability of air temperature as observed by crowdsourced citizen weather stations in Berlin, Germany. Meteorologische Zeitschrift, 26(5), 525–547.
• Jänicke B, Meier F, Fenner D, Fehrenbach U, Holtmann A, Scherer D, 2017: Urban-rural differences in near-surface air temperature as resolved by the Central Europe Refined analysis (CER): sensitivity to planetary boundary layer schemes and urban canopy models. International Journal of Climatology, 37(4), 2063–2079.
• Meier F, Fenner D, Grassmann T, Otto M, Scherer, D, 2017: Crowdsourcing air temperature from citizen weather stations for urban climate research. Urban Climate, 19, 170–191.
• Grossman-Clarke S, Schubert S, Fenner, D, 2016: Urban effects on summertime air temperature in Germany under climate change. International Journal of Climatology, 37(2), 905–917.
• Kuik F, Lauer A, Churkina G, Denier van der Gon, HAC, Fenner D, Mar KA, Butler TM, 2016: Air quality modelling in the Berlin-Brandenburg region using WRF-Chem v3.7.1: sensitivity to resolution of model grid and input data. Geoscientific Model Development, 9(12), 4339–4363.
• Fenner D, Meier F, Scherer D, Polze A, 2014: Spatial and temporal air temperature variability in Berlin, Germany, during the years 2001–2010. Urban Climate, 10(2), 308–331.