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Institute of

AK Climate-Smart Agriculture

Peer-reviewed scientific paper by Frederik Schrader

  1. 0

    Cao H, Henze DK, Zhu L, Shephard MW, Cady-Pereira K, Dammers E, Sitwell M, Heath N, Lonsdale C, Bash JO, Miyazaki K, Flechard CR, Fauvel Y, Wichink Kruit RJ, Feigenspan S, Brümmer C, Schrader F, Twigg M, Leeson S, Tang YS, et al (2022) 4D-Var Inversion of European NH3 Emissions Using CrIS NH3 Measurements and GEOS-Chem Adjoint With Bi-Directional and Uni-Directional Flux Schemes. J Geophys Res Atmospheres 127(9):e2021JD035687, DOI:10.1029/2021JD035687

    https://literatur.thuenen.de/digbib_extern/dn064933.pdf

  2. 1

    Wintjen P, Schrader F, Schaap M, Beudert B, Brümmer C (2022) Forest-atmosphere exchange of reactive nitrogen in a remote region - Part I: Measuring temporal dynamics. Biogeosciences 19(2):389-413, DOI:10.5194/bg-19-389-2022

    https://literatur.thuenen.de/digbib_extern/dn064544.pdf

  3. 2

    Brümmer C, Rüffer J, Delorme J-P, Wintjen P, Schrader F, Beudert B, Schaap M, Ammann C (2022) Reactive nitrogen fluxes over peatland and forest ecosystems using micrometeorological measurement techniques. Earth Syst Sci Data 14(2):743-761, DOI:10.5194/essd-14-743-2022

    https://literatur.thuenen.de/digbib_extern/dn064587.pdf

  4. 3

    Walther S, Besnard S, Nelson JA, El-Madany TS, Migliavacca M, Weber U, Carvalhais N, Ermida SL, Brümmer C, Schrader F, Prokushkin A, Panov AV, Jung M (2022) Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set. Biogeosciences 19(11):2805-2840, DOI:10.5194/bg-19-2805-2022

    https://literatur.thuenen.de/digbib_extern/dn064934.pdf

  5. 4

    Graf A, Klosterhalfen A, Arriga N, Bernhofer C, Bogena H, Bornet F, Brüggemann N, Brümmer C, Buchmann N, Chi J, Chipeaux C, Cremonese E, Cuntz M, Dušek J, El-Madany TS, Fares S, Fischer M, Foltýnová L, Gharun M, Schrader F, et al (2020) Altered energy partitioning across terrestrial ecosystems in the European drought year 2018. Philos Trans Royal Soc B 375(1810):20190524, DOI:10.1098/rstb.2019.0524

  6. 5

    Wintjen P, Ammann C, Schrader F, Brümmer C (2020) Correcting high-frequency losses of reactive nitrogen flux measurements. Atmos Measurem Techniques 13(6):2923-2948, DOI:10.5194/amt-13-2923-2020

    https://literatur.thuenen.de/digbib_extern/dn062399.pdf

  7. 6

    Pastorello G, Trotta C, Canfora E, Chu H, Christianson D, Cheah Y-W, Poindexter C, Chen J, Elbashandy A, Humphrey M, Isaac P, Polidori D, Ribeca A, van Ingen C, Zhang L, Amiro BD, Ammann C, Brümmer C, Lucas-Moffat AM, Schrader F, et al (2020) The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7:225, DOI:10.1038/s41597-020-0534-3

    https://literatur.thuenen.de/digbib_extern/dn062453.pdf

  8. 7

    Schrader F, Erisman JW, Brümmer C (2020) Towards a coupled paradigm of NH3-CO2 biosphere-atmosphere exchange modelling. Global Change Biol 26(9):4654-4663, DOI:10.1111/gcb.15184

    https://literatur.thuenen.de/digbib_extern/dn062553.pdf

  9. 8

    Zöll U, Lucas-Moffat AM, Wintjen P, Schrader F, Beudert B, Brümmer C (2019) Is the biosphere-atmosphere exchange of total reactive nitrogen above forest driven by the same factors as carbon dioxide? An analysis using artificial neural networks. Atmos Environ 206:108-118, DOI:10.1016/j.atmosenv.2019.02.042

    https://literatur.thuenen.de/digbib_extern/dn060919.pdf

  10. 9

    Schrader F, Schaap M, Zöll U, Kranenburg R, Brümmer C (2018) The hidden cost of using low-resolution concentration data in the estimation of NH3 dry deposition fluxes. Sci Rep 8:969, DOI:10.1038/s41598-017-18021-6

    https://literatur.thuenen.de/digbib_extern/dn059641.pdf

  11. 10

    Peters A, Groh J, Schrader F, Durner W, Vereecken H, Pütz T (2017) Towards an unbiased filter routine to determine precipitation and evapotranspiration from high precision lysimeter measurements. J Hydrol 549:731-740, DOI:10.1016/j.jhydrol.2017.04.015

  12. 11

    Schrader F, Brümmer C, Flechard CR, Wichink Kruit RJ, Zanten MC van, Zöll U, Hensen A, Erisman JW (2016) Non-stomatal exchange in ammonia dry deposition models: comparison of two state-of-the-art approaches. Atmospheric Chem Phys 16(21):13417-13430, DOI:10.5194/acp-16-11283-2016

    https://literatur.thuenen.de/digbib_extern/dn057418.pdf

  13. 12

    Zöll U, Brümmer C, Schrader F, Ammann C, Ibrom A, Flechard CR, Nelson DD, Zahniser M, Kutsch WL (2016) Surface-atmosphere exchange of ammonia over peatland using QCL-based eddy-covariance measurements and inferential modeling. Atmospheric Chem Phys 16(17):11283-11299, DOI:10.5194/acp-16-11283-2016

    https://literatur.thuenen.de/digbib_extern/dn057192.pdf

  14. 13

    Hannes M, Wollschläger U, Schrader F, Durner W, Gebler S, Pütz T, Fank J, Unold G von, Vogel H-J (2015) A comprehensive filtering scheme for high-resolution estimation of the water balance components from high-precision lysimeters. Hydrol Earth Syst Sci 19:3405-3418, DOI:10.5194/hess-19-3405-2015

    https://literatur.thuenen.de/digbib_extern/dn056082.pdf

  15. 14

    Schrader F, Brümmer C (2014) Land use specific ammonia deposition velocities: a review of recent studies (2004-2013). Water Air Soil Pollut 225:2114, DOI:10.1007/s11270-014-2114-7

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