Urban and Ecoclimatology

NOx Konzentration simuliert mit PALM-4U am Ernst-Reuter-Platz, Berlin

EC-Station Graswang

Doppler Lidar bei der CHEESEHEAD-2019 Messkampagne in Wisconsin, USA

MOSES Gerätevergleich in Fendt 2019


Urban rural interactions focussing on

Transport Processes in the Atmospheric Boundary-Layer (TABLe)

One of the greatest challenges of our time is global climate change in combination with urbanisation and the realisation that our fossil resources are limited. An understanding of ecological processes that is as precise as possible is the basis for a sustainable approach to our environment. In the Earth's climate system, interactions on the land surface play a special role, as this is where the various areas of the biosphere, hydrosphere, pedosphere and anthroposphere meet the atmosphere. Against this background we are working on the following research topics:

Measuring the exchange of energy, water and greenhouse gases between the biosphere and the atmosphere

  • Development of methods for the evaluation of micrometeorological measurements
  • Turbulence-resolving modeling of exchange processes in the atmospheric boundary layer
  • Impact of climate change on heat stress and air quality in cities

Tools

Measurement devices: RASS, wind lidar, ceilometer
Numerical simulation models: WRF, WRF-LES, PALM-4U, iTree
Analytical models: efficiency and wakes of large wind parks

Running projects

Urban UC² (BMBF) new urban climate model PALM-4U
Wind WINSENT wind test site in complex terrain
  X-WAKES interaction of offshore wind park wakes
Climate KARE flash flood prevention for local authorities

More information about our research group

 

Publications


2021
Book Chapters
Emeis, S.; Wilbert, S.
Measurement Systems for Wind, Solar and Hydro Power Applications.
2021. Springer Handbook of Atmospheric Measurements. Ed.: T. Foken, 1369–1390, Springer International Publishing. doi:10.1007/978-3-030-52171-4_51
Emeis, S.
Sodar and RASS.
2021. Springer Handbook of Atmospheric Measurements. Ed.: T. Foken, 661–682, Springer International Publishing. doi:10.1007/978-3-030-52171-4_23
Emeis, S.
Licht und Leben, Feuer und Tod - Dialektik des Phosphors.
2021. Phosphor - Fluch und Segen eines Elements. Hrsg.: S. Emeis, 55–69, Oekom Verlag 
Rötzer, T.; Moser-Reischl, A.; Rahman, M. A.; Grote, R.; Pauleit, S.; Pretzsch, H.
Modelling Urban Tree Growth and Ecosystem Services: Review and Perspectives.
2021. Progress in Botany. Ed.: F. M. Cánovas, 405–464, Springer International Publishing. doi:10.1007/124_2020_46
Journal Articles
Cade, S. M.; Clemitshaw, K. C.; Molina-Herrera, S.; Grote, R.; Haas, E.; Wilkinson, M.; et al.
Evaluation of LandscapeDNDC Model Predictions of CO and NO Fluxes from an Oak Forest in SE England.
2021. Forests, 12 (11), 1517. doi:10.3390/f12111517
Delwiche, K. B.; Knox, S. H.; Malhotra, A.; Fluet-Chouinard, E.; McNicol, G.; Klatt, J.; et al.
FLUXNET-CH: a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands.
2021. Earth system science data, 13 (7), 3607–3689. doi:10.5194/essd-13-3607-2021Full textFull text of the publication as PDF document
Schäfer, K.; Budde, M.; Cyrys, J.; Emeis, S.; Gratza, T.; Grimm, H.; et al.
Hochaufgelöste Erfassung der urbanen Feinstaubbelastung mittels Messnetz aus kostengünstigen Sensoren und numerischen Simulationen.
2021. Gefahrstoffe, Reinhaltung der Luft, 81 (9-10), 353–361 
Butterworth, B. J.; Desai, A. R.; Townsend, P. A.; Petty, G. W.; Andresen, C. G.; Mauder, M.; et al.
Connecting Land–Atmosphere Interactions to Surface Heterogeneity in CHEESEHEAD19.
2021. Bulletin of the American Meteorological Society, 102 (2), E421–E445. doi:10.1175/BAMS-D-19-0346.1Full textFull text of the publication as PDF document
Helbig, M.; Gerken, T.; Beamesderfer, E. R.; Baldocchi, D. D.; Banerjee, T.; Mauder, M.; et al.
Integrating continuous atmospheric boundary layer and tower-based flux measurements to advance understanding of land-atmosphere interactions.
2021. Agricultural and Forest Meteorology, 307, Art.-Nr.: 108509. doi:10.1016/j.agrformet.2021.108509
Rahimi, J.; Ago, E. E.; Ayantunde, A.; Berger, S.; Bogaert, J.; Grote, R.; et al.
Modeling gas exchange and biomass production in West African Sahelian and Sudanian ecological zones.
2021. Geoscientific model development, 14 (6), 3789–3812. doi:10.5194/gmd-14-3789-2021Full textFull text of the publication as PDF document
Lin, D.; Khan, B.; Katurji, M.; Bird, L.; Faria, R.; Revell, L. E.
Wrf4palm v1.0: A mesoscale dynamical driver for the microscale PALM model system 6.0.
2021. Geoscientific Model Development, 14 (5), 2503–2524. doi:10.5194/gmd-14-2503-2021Full textFull text of the publication as PDF document
Pace, R.; Guidolotti, G.; Baldacchini, C.; Pallozzi, E.; Grote, R.; Nowak, D. J.; et al.
Comparing i-Tree Eco Estimates of Particulate Matter Deposition with Leaf and Canopy Measurements in an Urban Mediterranean Holm Oak Forest.
2021. Environmental science & technology, 55 (10), 6613–6622. doi:10.1021/acs.est.0c07679
Yazbeck, T.; Bohrer, G.; Vines, C.; De Roo, F.; Mauder, M.; Bakshi, B.
Effects of spatial heterogeneity of leaf density and crown spacing of canopy patches on dry deposition rates.
2021. Agricultural and Forest Meteorology, 306, Art.-Nr.: 108440. doi:10.1016/j.agrformet.2021.108440
Khan, B.; Banzhaf, S.; Chan, E. C.; Forkel, R.; Kanani-Sühring, F.; Mauder, M.; et al.
Development of an atmospheric chemistry model coupled to the PALM model system 6.0: Implementation and first applications.
2021. Geoscientific Model Development, 14 (2), 1171–1193. doi:10.5194/gmd-14-1171-2021Full textFull text of the publication as PDF document
Pace, R.; De Fino, F.; Rahman, M. A.; Pauleit, S.; Nowak, D. J.; Grote, R.
A single tree model to consistently simulate cooling, shading, and pollution uptake of urban trees.
2021. International journal of biometeorology, 65 (2), 277–289. doi:10.1007/s00484-020-02030-8Full textFull text of the publication as PDF document
2020
Journal Articles
Platis, A.; Bange, J.; Bärfuss, K.; Cañadillas, B.; Emeis, S.; Siedersleben, S.; et al.
Long-range modifications of the wind field by offshore wind parks – results of the project WIPAFF.
2020. Meteorologische Zeitschrift, 29 (5), 355–376. doi:10.1127/metz/2020/1023Full textFull text of the publication as PDF document
Lasch-Born, P.; Suckow, F.; Reyer, C. P. O.; Gutsch, M.; Kollas, C.; Grote, R.; et al.
Description and evaluation of the process-based forest model 4C v2.2 at four European forest sites.
2020. Geoscientific model development, 13 (11), 5311–5343. doi:10.5194/gmd-13-5311-2020Full textFull text of the publication as PDF document
Garratt, J.; Wilczak, J.; Holtslag, A.; Schmid, H. P.; Grachev, A.; Mauder, M.; et al.
Commentaries on Top-Cited Boundary-Layer Meteorology Articles.
2020. Boundary layer meteorology, 177 (2-3), 169–188. doi:10.1007/s10546-020-00563-4
Graf, A.; Klosterhalfen, A.; Arriga, N.; Mauder, M.; Klatt, J.; Holst, J.; et al.
Altered energy partitioning across terrestrial ecosystems in the European drought year 2018.
2020. Philosophical transactions / B, 375 (1810), Art.Nr. 20190524. doi:10.1098/rstb.2019.0524
Pastorello, G.; Trotta, C.; Canfora, E.; Chu, H.; Christianson, D.; Klatt, J.; et al.
The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data.
2020. Scientific data, 7 (1), Art. Nr.: 225. doi:10.1038/s41597-020-0534-3Full textFull text of the publication as PDF document
Siedersleben, S. K.; Platis, A.; Lundquist, J. K.; Djath, B.; Lampert, A.; Emeis, S.; et al.
Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1).
2020. Geoscientific model development, 13 (1), 249–268. doi:10.5194/gmd-13-249-2020Full textFull text of the publication as PDF document
Cañadillas, B.; Foreman, R.; Barth, V.; Siedersleben, S.; Lampert, A.; Emeis, S.; et al.
Offshore wind farm wake recovery: Airborne measurements and its representation in engineering models.
2020. Wind energy, 23 (5), 1249–1265. doi:10.1002/we.2484Full textFull text of the publication as PDF document
Maronga, B.; Banzhaf, S.; Burmeister, C.; Esch, T.; Forkel, R.; Mauder, M.; et al.
Overview of the PALM model system 6.0.
2020. Geoscientific model development, 13 (3), 1335–1372. doi:10.5194/gmd-13-1335-2020Full textFull text of the publication as PDF document
Mauder, M.; Eggert, M.; Gutsmuths, C.; Oertel, S.; Wilhelm, P.; Voelksch, I.; et al.
Comparison of turbulence measurements by a CSAT3B sonic anemometer and a high-resolution bistatic Doppler lidar.
2020. Atmospheric measurement techniques, 13 (2), 969–983. doi:10.5194/amt-13-969-2020Full textFull text of the publication as PDF document
Fersch, B.; Senatore, A.; Adler, B.; Arnault, J.; Mauder, M.; Schneider, K.; et al.
High-resolution fully-coupled atmospheric–hydrological modeling: a cross-compartment regional water and energy cycle evaluation.
2020. Hydrology and earth system sciences discussions, 24, 2457–2481. doi:10.5194/hess-2019-478Full textFull text of the publication as PDF document
2019
Journal Articles
Merganičová, K.; Merganič, J.; Lehtonen, A.; Vacchiano, G.; Sever, M. Z. O.; Grote, R.; et al.
Forest carbon allocation modelling under climate change.
2019. Tree physiology, 39 (12), 1937–1960. doi:10.1093/treephys/tpz105Full textFull text of the publication as PDF document
Knox, S. H.; Jackson, R. B.; Poulter, B.; McNicol, G.; Fluet-Chouinard, E.; Klatt, J.; et al.
FLUXNET-CH₄ Synthesis Activity: Objectives, Observations, and Future Directions.
2019. Bulletin of the American Meteorological Society, 100 (12), 2607–2632. doi:10.1175/BAMS-D-18-0268.1
Maronga, B.; Banzhaf, S.; Burmeister, C.; Esch, T.; Forkel, R.; Khan, B. A.; et al.
Overview of the PALM model system 6.0.
2019. Geoscientific model development discussions. doi:10.5194/gmd-2019-103
Kröniger, K.; Katul, G. G.; De Roo, F.; Brugger, P.; Mauder, M.
Aerodynamic Resistance Parameterization for Heterogeneous Surfaces Using a Covariance Function Approach in Spectral Space.
2019. Journal of the atmospheric sciences, 76 (10), 3191–3209. doi:10.1175/jas-d-18-0150.1
Fitzky, A. C.; Sandén, H.; Karl, T.; Fares, S.; Calfapietra, C.; Grote, R.; et al.
The interplay between ozone and urban vegetation – BVOC emissions, ozone deposition, and tree ecophysiology.
2019. Frontiers in Forests and Global Change, 2 (50), 1–17. doi:10.3389/ffgc.2019.0050Full textFull text of the publication as PDF document
Bechtold, M.; De Lannoy, G. J. M.; Koster, R. D.; Reichle, R. H.; Mahanama, S. P.; Klatt, J.; et al.
PEAT-CLSM: A Specific Treatment of Peatland Hydrology in the NASA Catchment Land Surface Model.
2019. Journal of advances in modeling earth systems, 11 (7), 2130–2162. doi:10.1029/2018MS001574Full textFull text of the publication as PDF document
Scherer, D.; Ament, F.; Emeis, S.; Fehrenbach, U.; Leitl, B.; Scherber, K.; et al.
Three-Dimensional Observation of Atmospheric Processes in Cities.
2019. Meteorologische Zeitschrift, 28 (2), 121–138. doi:10.1127/metz/2019/0911Full textFull text of the publication as PDF document
Brugger, P.; De Roo, F.; Kröniger, K.; Rotenberg, E.; Tatarinov, F.; Mauder, M.; et al.
Contrasting turbulent transport regimes explain cooling effect in a semi-arid forest compared to surrounding shrubland.
2019. Agricultural and forest meteorology, 269-270, 19–27. doi:10.1016/j.agrformet.2019.01.041
Berger, S.; Bliefernicht, J.; Linstädter, A.; Canak, K.; Guug, S.; Mauder, M.; et al.
The impact of rain events on CO2 emissions from contrasting land use systems in semi-arid West African savannas.
2019. The science of the total environment, 647, 1478–1489. doi:10.1016/j.scitotenv.2018.07.397
2018
Journal Articles
Rebmann, C.; Aubinet, M.; Schmid, H. P.; Arriga, N.; Aurela, M.; Mauder, M.; et al.
ICOS eddy covariance flux-station site setup: a review.
2018. International agrophysics, 32 (4), 471–494. doi:10.1515/intag-2017-0044Full textFull text of the publication as PDF document
Sabbatini, S.; Mammarella, I.; Arriga, N.; Fratini, G.; Graf, A.; Mauder, M.; et al.
Eddy covariance raw data processing for CO2 and energy fluxes calculation at ICOS ecosystem stations.
2018. International agrophysics, 32 (4), 495–515. doi:10.1515/intag-2017-0043Full textFull text of the publication as PDF document
Kröniger, K.; De Roo, F.; Brugger, P.; Huq, S.; Banerjee, T.; Mauder, M.; et al.
Effect of Secondary Circulations on the Surface–Atmosphere Exchange of Energy at an Isolated Semi-arid Forest.
2018. Boundary layer meteorology, 169 (2), 209–232. doi:10.1007/s10546-018-0370-6
Hinterreiter, S.; Budde, M.; Schäfer, K.; Riesterer, J.; Riedel, T.; Emeis, S.; et al.
SmartAQnet – neuer smarter Weg zur räumlichen Erfassung von Feinstaub.
2018. AGIT, 2018 (4), 394–403. doi:10.14627/537647050Full textFull text of the publication as PDF document
Birami, B.; Gattmann, M.; Heyer, A. G.; Grote, R.; Arneth, A.; Ruehr, N. K.
Heat Waves Alter Carbon Allocation and Increase Mortality of Aleppo Pine Under Dry Conditions.
2018. Frontiers in Forests and Global Change, 1, 17 S. doi:10.3389/ffgc.2018.00008Full textFull text of the publication as PDF document
Collalti, A.; Trotta, C.; Keenan, T. F.; Ibrom, A.; Bond-Lamberty, B.; Grote, R.; et al.
Thinning Can Reduce Losses in Carbon Use Efficiency and Carbon Stocks in Managed Forests Under Warmer Climate.
2018. Journal of advances in modeling earth systems, 10 (10), 2427–2452. doi:10.1029/2018MS001275Full textFull text of the publication as PDF document
Siedersleben, S. K.; Platis, A.; Lundquist, J. K.; Lampert, A.; Bärfuss, K.; Emeis, S.; et al.
Evaluation of a Wind Farm Parametrization for Mesoscale Atmospheric Flow Models with Aircraft Measurements.
2018. Meteorologische Zeitschrift, 27 (5), 401–415. doi:10.1127/metz/2018/0900Full textFull text of the publication as PDF document
Siedersleben, S. K.; Lundquist, J. K.; Platis, A.; Bange, J.; Bärfuss, K.; Emeis, S.; et al.
Micrometeorological impacts of offshore wind farms as seen in observations and simulations.
2018. Environmental research letters, 13 (12), Article: 124012. doi:10.1088/1748-9326/aaea0bFull textFull text of the publication as PDF document
Baró, R.; Jiménez-Guerrero, P.; Stengel, M.; Brunner, D.; Curci, G.; Forkel, R.; et al.
Evaluating cloud properties in an ensemble of regional online coupled models against satellite observations.
2018. Atmospheric chemistry and physics, 18 (20), 15183–15199. doi:10.5194/acp-18-15183-2018Full textFull text of the publication as PDF document
Shen, R.; Schäfer, K.; Schnelle-Kreis, J.; Shao, L.; Norra, S.; Emeis, S.; et al.
Seasonal variability and source distribution of haze particles from a continuous one-year study in Beijing.
2018. Atmospheric pollution research, 9 (4), 627–633. doi:10.1016/j.apr.2017.12.013
Brugger, P.; Banerjee, T.; De Roo, F.; Kröniger, K.; Qubaja, R.; Mauder, M.; et al.
Effect of Surface Heterogeneity on the Boundary-Layer Height: A Case Study at a Semi-Arid Forest.
2018. Boundary layer meteorology, 169 (2), 233–250. doi:10.1007/s10546-018-0371-5
Brugger, P.; Katul, G. G.; De Roo, F.; Kröniger, K.; Rotenberg, E.; Mauder, M.; et al.
Scalewise invariant analysis of the anisotropic Reynolds stress tensor for atmospheric surface layer and canopy sublayer turbulent flows.
2018. Physical review fluids, 3 (5), 054608. doi:10.1103/PhysRevFluids.3.054608
Khan, B.; Abualnaja, Y.; Al-Subhi, A. M.; Nellayaputhenpeedika, M.; Nellikkattu Thody, M.; Sturman, A. P.
Climatology of sea breezes along the Red Sea coast of Saudi Arabia.
2018. International journal of climatology, 38 (9), 3633–3650. doi:10.1002/joc.5523
Banerjee, T.; Brugger, P.; De Roo, F.; Kröniger, K.; Yakir, D.; Mauder, M.; et al.
Turbulent transport of energy across a forest and a semiarid shrubland.
2018. Atmospheric chemistry and physics, 18 (13), 10025–10038. doi:10.5194/acp-18-10025-2018Full textFull text of the publication as PDF document
Platis, A.; Siedersleben, S. K.; Bange, J.; Lampert, A.; Bärfuss, K.; Emeis, S.; et al.
First in situ evidence of wakes in the far field behind offshore wind farms.
2018. Scientific reports, 8 (1), Art. Nr.: 2163. doi:10.1038/s41598-018-20389-yFull textFull text of the publication as PDF document
Bonn, B.; von Schneidemesser, E.; Butler, T.; Churkina, G.; Ehlers, C.; Grote, R.; et al.
Impact of vegetative emissions on urban ozone and biogenic secondary organic aerosol: Box model study for Berlin, Germany.
2018. Journal of cleaner production, 176, 827–841. doi:10.1016/j.jclepro.2017.12.164
Hu, B.; Jarosch, A.-M.; Gauder, M.; Graeff-Hönninger, S.; Schnitzler, J.-P.; Grote, R.; et al.
VOC emissions and carbon balance of two bioenergy plantations in response to nitrogen fertilization : A comparison of and .
2018. Environmental pollution, 237, 205–217. doi:10.1016/j.envpol.2018.02.034
Desjardins, R. L.; Worth, D. E.; Pattey, E.; VanderZaag, A.; Srinivasan, R.; Mauder, M.; et al.
The challenge of reconciling bottom-up agricultural methane emissions inventories with top-down measurements.
2018. Agricultural and forest meteorology, 248, 48–59. doi:10.1016/j.agrformet.2017.09.003Full textFull text of the publication as PDF document
Banerjee, T.; Vercauteren, N.; Muste, M.; Yang, D.
Coherent structures in wind shear induced wave-turbulence-vegetation interaction in water bodies.
2018. Agricultural and forest meteorology, 255, 57–67. doi:10.1016/j.agrformet.2017.08.014
2017
Book Chapters
Calfapietra, C.; Guidolotti, G.; Churkina, G.; Grote, R.
Urban tree physiology. Methods and tools.
2017. Routledge Handbook of Urban Forestry. Ed.: F. Ferrini, 225–236, Routledge 
Samson, R.; Ningal, T. F.; Tiwary, A.; Grote, R.; Fares, S.; Saaroni, H.; et al.
Species-specific information for enhancing ecosystem services.
2017. The Urban Forest : Cultivating Green Infrastructure for People and the Environment. Ed.: D. Pearlmutter, 111–144, Sprinter International. doi:10.1007/978-3-319-50280-9_12
Samson, R.; Grote, R.; Calfapietra, C.; Carinanos, P.; Fares, S.; Paoletti, E.; et al.
Urban Trees and Their Relation to Air Pollution.
2017. The Urban Forest : Cultivating Green Infrastructure for People and the Environment. Ed.: D. Pearlmutter, 21–30, Sprinter International. doi:10.1007/978-3-319-50280-9_3
Emeis, S.; Neumann, T.; Foreman, R.; Canadillas, B.
Sometimes It Almost Bubbles Like a Witches’ Cauldron. How the Moisture Fluxes Above the Sea Influence the Turbulences in Offshore Wind Farms.
2017. Sea - Wind - Power : Research at the first German Offshore Wind Farm Alpha Ventus. Ed.: M. Durstewitz, 145–151, Springer Verlag. doi:10.1007/978-3-662-53179-2_17
Emeis, S.
Different than Previously Assumed. Turbulences in the Atmospheric Boundary Layer and Their Consequences for Wind Field Models.
2017. Sea - Wind - Power : Research at the first German Offshore Wind Farm Alpha Ventus. Ed.: M. Durstewitz, 137–143, Springer Verlag. doi:10.1007/978-3-662-53179-2_16
Journal Articles
Foreman, R. J.; Cañadillas, B.; Neumann, T.; Emeis, S.
Measurements of heat and humidity fluxes in the wake of offshore wind turbines.
2017. Journal of renewable and sustainable energy, 9 (5), 053304. doi:10.1063/1.5003811
Foken, T.; Emeis, S.; Jäckel, S.
Entwicklungen bei meteorologischen Messtechniken = Developments of Meteorological Measurement Techniques.
2017. Gefahrstoffe, Reinhaltung der Luft, 77 (7-8), 284–289 
Baró, R.; Palacios-Peña, L.; Baklanov, A.; Balzarini, A.; Brunner, D.; Forkel, R.; et al.
Regional effects of atmospheric aerosols on temperature: An evaluation of an ensemble of online coupled models.
2017. Atmospheric chemistry and physics, 17 (15), 9677–9696. doi:10.5194/acp-17-9677-2017Full textFull text of the publication as PDF document
Geiß, A.; Wiegner, M.; Bonn, B.; Schäfer, K.; Forkel, R.; Von Schneidemesser, E.; et al.
Mixing layer height as an indicator for urban air quality?.
2017. Atmospheric measurement techniques, 10 (8), 2969–2988. doi:10.5194/amt-10-2969-2017Full textFull text of the publication as PDF document
Lindauer, M.; Schmid, H. P.; Grote, R.; Steinbrecher, R.; Mauder, M.; Wolpert, B.
A Simple New Model for Incoming Solar Radiation Dependent Only on Screen-Level Relative Humidity.
2017. Journal of applied meteorology and climatology, 56 (7), 1817–1825. doi:10.1175/JAMC-D-16-0085.1
Brosy, C.; Krampf, K.; Zeeman, M.; Wolf, B.; Junkermann, W.; Emeis, S.; et al.
Simultaneous multicopter-based air sampling and sensing of meteorological variables.
2017. Atmospheric measurement techniques, 10 (8), 2773–2784. doi:10.5194/amt-10-2773-2017Full textFull text of the publication as PDF document
Barlow, J.; Best, M.; Bohnenstengel, S. I.; Clark, P.; Grimmond, S.; Emeis, S.; et al.
Developing a research strategy to better understand, observe and simulate urban atmospheric processes at kilometre to sub-kilometre scales.
2017. Bulletin of the American Meteorological Society, 98 (10), ES261-ES264. doi:10.1175/BAMS-D-17-0106.1Full textFull text of the publication as PDF document
Heidbach, K.; Schmid, H. P.; Mauder, M.
Experimental evaluation of flux footprint models.
2017. Agricultural and forest meteorology, 246, 142–153. doi:10.1016/j.agrformet.2017.06.008
Churkina, G.; Kuik, F.; Bonn, B.; Lauer, A.; Grote, R.; Tomiak, K.; et al.
Effect of VOC Emissions from Vegetation on Air Quality in Berlin during a Heatwave.
2017. Environmental science & technology, 51 (11), 6120–6130. doi:10.1021/acs.est.6b06514Full textFull text of the publication as PDF document
Molina-Herrera, S.; Haas, E.; Grote, R.; Kiese, R.; Klatt, S.; Kraus, D.; et al.
Importance of soil NO emissions for the total atmospheric NOx budget of Saxony, Germany.
2017. Atmospheric environment, 152, 61–76. doi:10.1016/j.atmosenv.2016.12.022
Wolf, B.; Chwala, C.; Fersch, B.; Garvelmann, J.; Mauder, M.; Emeis, S.; et al.
The ScaleX campaign: scale-crossing land-surface and boundary layer processes in the TERENO-preAlpine observatory.
2017. Bulletin of the American Meteorological Society, 98 (6), 1217–1234. doi:10.1175/BAMS-D-15-00277.1Full textFull text of the publication as PDF document
Shen, R.; Schäfer, K.; Shao, L.; Schnelle-Kreis, J.; Wang, Y.; Emeis, S.; et al.
Chemical characteristics of PM2.5 during haze episodes in spring 2013 in Beijing.
2017. Urban Climate, 22, 51–63. doi:10.1016/j.uclim.2016.01.003
Schweier, J.; Molina-Herrera, S.; Ghirardo, A.; Grote, R.; Díaz-Pinés, E.; Kreuzwieser, J.; et al.
Environmental impacts of bioenergy wood production from poplar short rotation coppice grown at a marginal agricultural site in Germany.
2017. Global change biology / Bioenergy (1757-1693, 1757-1707), 9 (7), 1207–1221. doi:10.1111/gcbb.12423Full textFull text of the publication as PDF document
Dias-Júnior, C. Q.; Sá, L. D. A.; Marques Filho, E. P.; Santana, R. A.; Mauder, M.; Manzi, A. O.
Turbulence regimes in the stable boundary layer above and within the Amazon forest.
2017. Agricultural and forest meteorology, 233, 122–132. doi:10.1016/j.agrformet.2016.11.001
Zeeman, M. J.; Mauder, M.; Steinbrecher, R.; Heidbach, K.; Eckart, E.; Schmid, H. P.
Reduced snow cover affects productivity of upland temperate grasslands.
2017. Agricultural and forest meteorology, 232, 514–526. doi:10.1016/j.agrformet.2016.09.002
Díaz-Pinés, E.; Molina-Herrera, S.; Dannenmann, M.; Braun, J.; Haas, E.; Grote, R.; et al.
Nitrate leaching and soil nitrous oxide emissions diminish with time in a hybrid poplar short-rotation coppice in southern Germany.
2017. Global change biology / Bioenergy, 9 (3), 613–626. doi:10.1111/gcbb.12367Full textFull text of the publication as PDF document
2016
Book Chapters
Norra, S.; Brenck, M.; Burghardt, W.; Emeis, S.; Gebhardt, O.; Heller, C.; et al.
Stadtnatur sichert funktionsfähige Böden und Gewässer.
2016. Ökosystemleistungen in der Stadt : Gesundheit schützen und Lebensqualität erhöhen. Hrsg.: I. Kowarik, 86–97, Technische Universität 
Fallmann, J.; Emeis, S.; Wagner, S.; Ketterer, C.; Matzarakis, A.; Krüzselyi, I.; et al.
Forecasting models for urban warming in climate change.
2016. Counteracting Urban Heat Island Effects in a Global Climate Change Scenario. Ed.: F. Musco, 3–39, Springer. doi:10.1007/978-3-319-10425-6_1Full textFull text of the publication as PDF document
RInke, R.; Kapp, R.; Reuter, U.; Ketterer, C.; Fallmann, J.; Emeis, S.; et al.
Pilot actions in European cities - Stuttgart.
2016. Counteracting Urban Heat Island Effects in a Global Climate Change Scenario. Ed.: F. Musco, 281–303, Springer. doi:10.1007/978-3-319-10425-6_10Full textFull text of the publication as PDF document
Emeis, S.; Neumann, T.; Foreman, R.; Canadillas, B.
Manchmal brodelt’s fast wie im Spaghetti-Kochtopf. Wie die Feuchtigkeitsflüsse über dem Meer die Turbulenzen in Offshore-Windparks beeinflussen.
2016. Meer - Wind - Strom : Forschung am ersten deutschen Offshore-Windpark alpha ventus. Hrsg.: M. Durstewitz, 151–158, Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-09783-7_17
Emeis, S.
Anders als bisher gedacht. Die Turbulenzen in der atmosphärischen Grenzschicht über dem Meer und ihre Folgen für die Windfeldmodelle.
2016. Meer - Wind - Strom : Forschung am ersten deutschen Offshore-Windpark alpha ventus. Hrsg.: M. Durstewitz, 143–149, Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-09783-7_16
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Kioutsioukis, I.; Im, U.; Solazzo, E.; Bianconi, R.; Badia, A.; Forkel, R.; et al.
Insights into the deterministic skill of air quality ensembles from the analysis of AQMEII data.
2016. Atmospheric chemistry and physics, 16 (24), 15629–15652. doi:10.5194/acp-16-15629-2016Full textFull text of the publication as PDF document
Desai, A. R.; Wohlfahrt, G.; Zeeman, M. J.; Katata, G.; Eugster, W.; Mauder, M.; et al.
Montane ecosystem productivity responds more to global circulation patterns than climatic trends.
2016. Environmental research letters, 11 (2), Art. Nr.: 024013. doi:10.1088/1748-9326/11/2/024013Full textFull text of the publication as PDF document
Emeis, S.; Siedersleben, S.; Lampert, A.; Platis, A.; Bange, J.; Djath, B.; et al.
Exploring the wakes of large offshore wind farms.
2016. Journal of physics / Conference Series, 753 (9), Art. Nr.: 092014. doi:10.1088/1742-6596/753/9/092014Full textFull text of the publication as PDF document
Banerjee, T.; Li, D.; Juang, J.-Y.; Katul, G.
A Spectral Budget Model for the Longitudinal Turbulent Velocity in the Stable Atmospheric Surface Layer.
2016. Journal of the atmospheric sciences, 73 (1), 145–166. doi:10.1175/JAS-D-15-0066.1
Grote, R.; Samson, R.; Alonso, R.; Amorim, J. H.; Cariñanos, P.; Churkina, G.; et al.
Functional traits of urban trees: air pollution mitigation potential.
2016. Frontiers in ecology and the environment, 14 (10), 543–550. doi:10.1002/fee.1426
Hingerl, L.; Kunstmann, H.; Wagner, S.; Mauder, M.; Bliefernicht, J.; Rigon, R.
Spatio-temporal variability of water and energy fluxes: a case study for a mesoscale catchment in pre-alpine environment.
2016. Hydrological processes, 30 (21), 3804–3823. doi:10.1002/hyp.10893
Hu, X.-M.; Huang, J.; Fuentes, J. D.; Forkel, R.; Zhang, N.
Advances in Boundary-Layer/Air Pollution Meteorology (Editorial).
2016. Advances in meteorology, 2016, 2825019/1–2. doi:10.1155/2016/2825019Full textFull text of the publication as PDF document
Bonn, B.; Von Schneidemesser, E.; Andrich, D.; Quedenau, J.; Gerwig, H.; Grote, R.; et al.
BAERLIN2014 -The influence of land surface types on and the horizontal heterogeneity of air pollutant levels in Berlin.
2016. Atmospheric chemistry and physics, 16 (12), 7785–7811. doi:10.5194/acp-16-7785-2016Full textFull text of the publication as PDF document
Anderegg, W. R. L.; Martinez-Vilalta, J.; Cailleret, M.; Camarero, J. J.; Ewers, B. E.; Grote, R.; et al.
When a Tree Dies in the Forest: Scaling Climate-Driven Tree Mortality to Ecosystem Water and Carbon Fluxes.
2016. Ecosystems, 19 (6), 1133–1147. doi:10.1007/s10021-016-9982-1
Dirnböck, T.; Kobler, J.; Kraus, D.; Grote, R.; Kiese, R.
Impacts of management and climate change on nitrate leaching in a forested karst area.
2016. Journal of Environmental Management, 165, 243–252. doi:10.1016/j.jenvman.2015.09.039
Tiwari, S.; Grote, R.; Churkina, G.; Butler, T.
Ozone damage, detoxification and the role of isoprenoids-new impetus for integrated models.
2016. Functional Plant Biology, 43 (4), 324–336. doi:10.1071/FP15302
Shen, R.; Schäfer, K.; Schnelle-Kreis, J.; Shao, L.; Norra, S.; Emeis, S.; et al.
Characteristics and sources of P in seasonal perspective - A case study from one year continuously sampling in Beijing.
2016. Atmospheric pollution research, 7 (2), 235–248. doi:10.1016/j.apr.2015.09.008
Ghirardo, A.; Xie, J.; Zheng, X.; Wang, Y.; Grote, R.; Block, K.; et al.
Urban stress-induced biogenic VOC emissions and SOA-forming potentials in Beijing.
2016. Atmospheric Chemistry and Physics, 16 (5), 2901–2920. doi:10.5194/acp-16-2901-2016Full textFull text of the publication as PDF document
Hentschel, R.; Hommel, R.; Poschenrieder, W.; Grote, R.; Holst, J.; Biernath, C.; et al.
Stomatal conductance and intrinsic water use efficiency in the drought year 2003: a case study of European beech.
2016. Trees - Structure and Function, 30 (1), 153–174. doi:10.1007/s00468-015-1284-2
Maurer, V.; Kalthoff, N.; Wieser, A.; Kohler, M.; Mauder, M.; Gantner, L.
Observed spatiotemporal variability of boundary-layer turbulence over flat, heterogeneous terrain.
2016. Atmospheric Chemistry and Physics, 16 (3), 1377–1400. doi:10.5194/acp-16-1377-2016Full textFull text of the publication as PDF document
2015
Journal Articles
Quansah, E.; Mauder, M.; Balogun, A. A.; Amekudzi, L. K.; Hingerl, L.; Bliefernicht, J.; et al.
Carbon dioxide fluxes from contrasting ecosystems in the Sudanian Savanna in West Africa.
2015. Carbon Balance and Management, 10 (1), 1–17. doi:10.1186/s13021-014-0011-4Full textFull text of the publication as PDF document
Ashworth, K.; Chung, S. H.; Griffin, R. J.; Chen, J.; Forkel, R.; Bryan, A. M.; et al.
FORest Canopy Atmosphere Transfer (FORCAsT) 1.0: A 1-D model of biosphere-atmosphere chemical exchange.
2015. Geoscientific model development, 8, 3765–3784. doi:10.5194/gmd-8-3765-2015Full textFull text of the publication as PDF document
San Jose, R.; Perez, J. L.; Balzarini, A.; Baro, R.; Curci, G.; Forkel, R.; et al.
Sensitivity of feedback effects in CBMZ/MOSAIC chemical mechanism.
2015. Atmospheric environment, 115, 646–656. doi:10.1016/j.atmosenv.2015.04.030
Baro, R.; Jimenez-Guerrero, P.; Balzarini, A.; Curci, G.; Forkel, R.; Grell, G.; et al.
Sensitivity analysis of the microphysics scheme in WRF-Chem contributions to AQMEII phase 2.
2015. Atmospheric environment, 115, 620–629. doi:10.1016/j.atmosenv.2015.01.047
Balzarini, A.; Pirovano, G.; Honzak, L.; Zabkar, R.; Curci, G.; Forkel, R.; et al.
WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties.
2015. Atmospheric environment, 115, 604–619. doi:10.1016/j.atmosenv.2014.12.033
Knote, C.; Tuccella, P.; Curci, G.; Emmons, L.; Orlando, J. J.; Forkel, R.; et al.
Influence of the choice of gas-phase mechanism on prediction of key gaseous pollutants during the AQMEII phase-2 intercomparison.
2015. Atmospheric environment, 115, 553–568. doi:10.1016/j.atmosenv.2014.11.066
Kong, X.; Forkel, R.; Sokhi, R. S.; Suppan, P.; Baklanov, A.; Gauss, M.; et al.
Analysis of meteorology-chemistry interactions during air pollution episodes using online coupled models within AQMEII phase-2.
2015. Atmospheric environment, 115, 527–540. doi:10.1016/j.atmosenv.2014.09.020
Brunner, D.; Savage, N.; Jorba, O.; Eder, B.; Giordano, L.; Forkel, R.; et al.
Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2.
2015. Atmospheric environment, 115, 470–498. doi:10.1016/j.atmosenv.2014.12.032
Makar, P. A.; Gong, W.; Milbrandt, J.; Hogrefe, C.; Zhang, Y.; Forkel, R.; et al.
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