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17 Sep 2020
Slide #0 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Research infrastructures as modular platforms for
reactive nitrogen deposition monitoring
Frederik Schrader and Christian Brümmer
Thünen Institute of Climate-Smart Agriculture
#ICOS2020SC Session 18
17 September 2020
17 Sep 2020
Slide #1 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Background – Haber-Bosch Nitrogen
Data source: Erisman et al. (2008); Smil (2002); Stewart (2005); digitised, extrapolated by OurWorldInData.org, own illustration; Photos source: Nobel Foundation
17 Sep 2020
Slide #2 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Background – Cascading effects of N deposition
Nitrous Oxide
(N2O) Particulate matter
& tropospheric O3
Fertilizer
manufacture
Natural
ecosystems
Nitrogen oxides
(NOx)
Ammonia
(NH3)
Leached nitrate
(NO3
-)
Nitrate in
streamwaters
Ammonium nitrate
in rain (NH4NO3)
Further emission
of NOx & N2O
carrying on the
cascade
GHG balance
Aquat. eutrophication
Crops for food &
animal feed
Livestock far-
ming for food
Atmospheric N2
fixed to reactive
nitrogen (Nr)
Terr. eutrophication
Soil acidification
Nr in
manure
Nr
Nr
N form in
the cascade
Environmen-
tal concerns
Intended
N flows
Unintended
N flows
Diagram redrawn after Sutton et al. (2011, European Nitrogen Assessment)
17 Sep 2020
Slide #3 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Motivation
There is a clear, yet unmet demand for a centrally
coordinated, large scale reactive nitrogen deposition
monitoring network in Germany
• Concentration measurements for individual compounds
only in few federal states
• Measurements often not focusing on ecosystem effects
(e.g. NOx primarily near sources)
• Experimental campaigns focusing on treatments
 Limited availability of observational data for pressing
research questions and environmental policy
 Can ICOS help us solve this problem?
?(Fleischer et al., 2013)
(ICOS Germany Ecosystem Network)
17 Sep 2020
Slide #4 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Short-term extension of the ICOS network:
Low-cost measurements + inferential modelling
CO2 EC-System
• Cost efficient
• Little additional work
• Established techniques
+ Passive samplers + Model
Illustrations: J.-P. Delorme, LI-COR, Photo: J. Rüffer
17 Sep 2020
Slide #5 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Short-term extension of the ICOS network:
Low-cost measurements + inferential modelling
Large uncertainties in NH3 deposition modelling when
using default, land-use specific parameters
• Dependence of non-stomatal deposition on humidity
and other atmospheric constituents?
• Contribution of stomatal fluxes?
• Sampling frequency of concentration data?
 Can be answered with ICOS routine measurements
and a single roving EC system
17 Sep 2020
Slide #6 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Short-term extension of the ICOS network:
Low-cost measurements + inferential modelling
1) Parameterisation of stomatal conductivity
from application of Ball-Berry model to NEE
(Schrader, Erisman, & Brümmer, 2020)
17 Sep 2020
Slide #7 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Short-term extension of the ICOS network:
Low-cost measurements + inferential modelling
2) Parameterisation of non-stomatal exchange
from observed RH response
(requires temporary flux measurements)
(Nemitz et al., 2014)
17 Sep 2020
Slide #8 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Short-term extension of the ICOS network:
Low-cost measurements + inferential modelling
Derivation of correction functions for low
temporal resolution of passive sampler data
 Necessary to get from monthly concentrations to 30 min fluxes
(but requires temporary high-freqency concentration measurements)
(Schrader et al., 2018)
17 Sep 2020
Slide #9 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Short-term extension of the ICOS network:
Low-cost measurements + inferential modelling
In summary: Initial temporary parallel high-frequency
measurements with roving system to …
1) parameterise stomatal conductance from NEE
2) parameterise non-stomatal conductance from RH
3) derive correction for temporal resolution bias
... allow for a successive upgrade of the ICOS network for
cheap, easy, and valid NH3 deposition estimates (Schrader et al., 2018)
(Schrader et al., 2020) (Nemitz et al., 2014)
17 Sep 2020
Slide #10 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Long-term extension of the ICOS network:
Additional high-frequency ∑Nr measurements
CO2 EC-System ∑Nr EC-System
(TRANC+CLD)
• Expensive
• Experimental
• But: first successful
long-term studies!
Illustrations.: J.-P. Delorme, LI-COR
17 Sep 2020
Slide #11 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
NH3
HNO3
HNO2
pNH4
pNO3
NO
NO2
CO
Stainless steel tube Gold tube
FeNiCr tube
Power supply, 80 A, 5 V
NO
Total Reactive Atmospheric Nitrogen Converter
(Marx et al., 2012, Ammann et al., 2012, Brümmer et al. 2013)
Long-term extension of the ICOS network:
Additional high-frequency ∑Nr measurements
17 Sep 2020
Slide #12 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Long-term extension of the ICOS network:
Additional high-frequency ∑Nr measurements
New version allows for differentiation of
oxidised and reduced nitrogen compounds
(i.e. combustion vs. agriculture)
Currently being tested at the Gnarren-
burger Moor experimental site:
• ICOS standard setup
• N2O and CH4-EC
• TRANC 2.0 and NH3-EC
• associated studies on ET and export
 also feasible as pilot study for the
proposed short-term extension
TRANC 2.0 = TRANC 1.0
+ 2nd Gold tube (NOy)
+ dual-channel CLD
CO
CO
Stainless steel tube Gold tube
FeNiCr tube
Power supply, 80 A, 5 V
Gold tube
(Wintjen et al., in prep.)
17 Sep 2020
Slide #13 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Conclusions & Outlook
• ICOS setups allow for easy ‚modular‘ extension with additional variables
 Support (or setup) of national monitoring networks through existing infrastructure eliminates the
need to start from scratch
• Cheap and easy for Nr compounds through the installation of passive samplers or wet denuders
 Can provide important data for studies on GHG-Nr interaction with relatively little additional effort
• Model calibration and derivation of correction functions need high-frequency measurements
 Only temporary; single roving system possible; high pay-off in terms of validity of the flux estimates
• Long-term vision: Extension of the network with TRANC+CLD systems
 True total reactive nitrogen flux measurements at ICOS sites
17 Sep 2020
Slide #14 Schrader & Brümmer
RIs as modular platforms for N deposition monitoring
Thanks for listening!
Comments & criticism welcome: frederik.schrader@thuenen.de
Thünen Institute of Climate-Smart Agriculture
www.thuenen.de/en/ak

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Schrader, Frederik: Research infrastructures as modular platforms for reactive nitrogen deposition monitoring

  • 1. 17 Sep 2020 Slide #0 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Research infrastructures as modular platforms for reactive nitrogen deposition monitoring Frederik Schrader and Christian Brümmer Thünen Institute of Climate-Smart Agriculture #ICOS2020SC Session 18 17 September 2020
  • 2. 17 Sep 2020 Slide #1 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Background – Haber-Bosch Nitrogen Data source: Erisman et al. (2008); Smil (2002); Stewart (2005); digitised, extrapolated by OurWorldInData.org, own illustration; Photos source: Nobel Foundation
  • 3. 17 Sep 2020 Slide #2 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Background – Cascading effects of N deposition Nitrous Oxide (N2O) Particulate matter & tropospheric O3 Fertilizer manufacture Natural ecosystems Nitrogen oxides (NOx) Ammonia (NH3) Leached nitrate (NO3 -) Nitrate in streamwaters Ammonium nitrate in rain (NH4NO3) Further emission of NOx & N2O carrying on the cascade GHG balance Aquat. eutrophication Crops for food & animal feed Livestock far- ming for food Atmospheric N2 fixed to reactive nitrogen (Nr) Terr. eutrophication Soil acidification Nr in manure Nr Nr N form in the cascade Environmen- tal concerns Intended N flows Unintended N flows Diagram redrawn after Sutton et al. (2011, European Nitrogen Assessment)
  • 4. 17 Sep 2020 Slide #3 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Motivation There is a clear, yet unmet demand for a centrally coordinated, large scale reactive nitrogen deposition monitoring network in Germany • Concentration measurements for individual compounds only in few federal states • Measurements often not focusing on ecosystem effects (e.g. NOx primarily near sources) • Experimental campaigns focusing on treatments  Limited availability of observational data for pressing research questions and environmental policy  Can ICOS help us solve this problem? ?(Fleischer et al., 2013) (ICOS Germany Ecosystem Network)
  • 5. 17 Sep 2020 Slide #4 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Short-term extension of the ICOS network: Low-cost measurements + inferential modelling CO2 EC-System • Cost efficient • Little additional work • Established techniques + Passive samplers + Model Illustrations: J.-P. Delorme, LI-COR, Photo: J. Rüffer
  • 6. 17 Sep 2020 Slide #5 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Short-term extension of the ICOS network: Low-cost measurements + inferential modelling Large uncertainties in NH3 deposition modelling when using default, land-use specific parameters • Dependence of non-stomatal deposition on humidity and other atmospheric constituents? • Contribution of stomatal fluxes? • Sampling frequency of concentration data?  Can be answered with ICOS routine measurements and a single roving EC system
  • 7. 17 Sep 2020 Slide #6 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Short-term extension of the ICOS network: Low-cost measurements + inferential modelling 1) Parameterisation of stomatal conductivity from application of Ball-Berry model to NEE (Schrader, Erisman, & Brümmer, 2020)
  • 8. 17 Sep 2020 Slide #7 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Short-term extension of the ICOS network: Low-cost measurements + inferential modelling 2) Parameterisation of non-stomatal exchange from observed RH response (requires temporary flux measurements) (Nemitz et al., 2014)
  • 9. 17 Sep 2020 Slide #8 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Short-term extension of the ICOS network: Low-cost measurements + inferential modelling Derivation of correction functions for low temporal resolution of passive sampler data  Necessary to get from monthly concentrations to 30 min fluxes (but requires temporary high-freqency concentration measurements) (Schrader et al., 2018)
  • 10. 17 Sep 2020 Slide #9 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Short-term extension of the ICOS network: Low-cost measurements + inferential modelling In summary: Initial temporary parallel high-frequency measurements with roving system to … 1) parameterise stomatal conductance from NEE 2) parameterise non-stomatal conductance from RH 3) derive correction for temporal resolution bias ... allow for a successive upgrade of the ICOS network for cheap, easy, and valid NH3 deposition estimates (Schrader et al., 2018) (Schrader et al., 2020) (Nemitz et al., 2014)
  • 11. 17 Sep 2020 Slide #10 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Long-term extension of the ICOS network: Additional high-frequency ∑Nr measurements CO2 EC-System ∑Nr EC-System (TRANC+CLD) • Expensive • Experimental • But: first successful long-term studies! Illustrations.: J.-P. Delorme, LI-COR
  • 12. 17 Sep 2020 Slide #11 Schrader & Brümmer RIs as modular platforms for N deposition monitoring NH3 HNO3 HNO2 pNH4 pNO3 NO NO2 CO Stainless steel tube Gold tube FeNiCr tube Power supply, 80 A, 5 V NO Total Reactive Atmospheric Nitrogen Converter (Marx et al., 2012, Ammann et al., 2012, Brümmer et al. 2013) Long-term extension of the ICOS network: Additional high-frequency ∑Nr measurements
  • 13. 17 Sep 2020 Slide #12 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Long-term extension of the ICOS network: Additional high-frequency ∑Nr measurements New version allows for differentiation of oxidised and reduced nitrogen compounds (i.e. combustion vs. agriculture) Currently being tested at the Gnarren- burger Moor experimental site: • ICOS standard setup • N2O and CH4-EC • TRANC 2.0 and NH3-EC • associated studies on ET and export  also feasible as pilot study for the proposed short-term extension TRANC 2.0 = TRANC 1.0 + 2nd Gold tube (NOy) + dual-channel CLD CO CO Stainless steel tube Gold tube FeNiCr tube Power supply, 80 A, 5 V Gold tube (Wintjen et al., in prep.)
  • 14. 17 Sep 2020 Slide #13 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Conclusions & Outlook • ICOS setups allow for easy ‚modular‘ extension with additional variables  Support (or setup) of national monitoring networks through existing infrastructure eliminates the need to start from scratch • Cheap and easy for Nr compounds through the installation of passive samplers or wet denuders  Can provide important data for studies on GHG-Nr interaction with relatively little additional effort • Model calibration and derivation of correction functions need high-frequency measurements  Only temporary; single roving system possible; high pay-off in terms of validity of the flux estimates • Long-term vision: Extension of the network with TRANC+CLD systems  True total reactive nitrogen flux measurements at ICOS sites
  • 15. 17 Sep 2020 Slide #14 Schrader & Brümmer RIs as modular platforms for N deposition monitoring Thanks for listening! Comments & criticism welcome: frederik.schrader@thuenen.de Thünen Institute of Climate-Smart Agriculture www.thuenen.de/en/ak