Micromet Methods for Determining Fluxes of Nitrogen Species Tilden P. Meyers NOAA/ARL Atmospheric Turbulence and Diffusion Division Oak Ridge, TN.

Slides:



Advertisements
Similar presentations
Technical Aspects of Automated Greenhouse Gas Monitoring Kevin Kahmark, Neville Millar, Sven Bohm, Iurii Shcherbak, and G. Philip Robertson Michigan State.
Advertisements

Surface-Atmosphere fluxes
Aircraft and tower eddy covariance flux measurements SSOS- Summer School on Optical Sampling (7-13 July 2011, Trento, Italy) B. Gioli (IBIMET CNR, Italy)
1 Division of Atmospheric Sciences, Department of Physical Sciences, University of Helsinki, POBox 64, FIN-00014, Helsinki, Finland (e  mail:
Managing Ammonia in Agriculture USDA Research Efforts.
“The mass balance IHF method equates the vertical flux of NH 3 from a treated area of limited upwind extent with the net integrated horizontal flux at.
Modification of Network Sampling Systems for Measurement of NH 3 Derek Day, Misha Schurman, Katie Beam, Jeff Collett, William Malm MOTIVATION Ammonia (NH.
UC IRVINE: SCOTT MILLER, ED READ, CHRIS DOUGHTY, MIKE GOULDEN USP: HELBER FREITAS, HUMBERTO DA ROCHA Boat-Based Eddy Covariance Measurements of CO 2 Exchange.
Measurement of Ammonia Concentrations and Fluxes: Recent Examples Using Denuder and Chemiluminescence Technologies John Walker U.S. Environmental Protection.
Reading: Text, (p40-42, p49-60) Foken 2006 Key questions:
Effect of Variable Flux Footprint on Measurement of Air/Sea DMS Transfer Velocity A Southern Ocean Case Study Thomas Bell Presented by Mingxi Yang with.
Surface Exchange Processes SOEE3410 : Lecture 3 Ian Brooks.
Eddy Covariance John Knowles University of Colorado Department of Geography INSTAAR.
Comparison of Eddy Covariance Results By Wendy Couch, Rob Aves and Larissa Reames.
Ang Atmospheric Boundary Layer and Turbulence Zong-Liang Yang Department of Geological Sciences.
1 Mass Flux in a Horizontally Homogeneous Atmosphere A useful tool for emissions and lifetimes. Assume an atmosphere well- mixed in latitude and longitude;
A Basic Introduction to Boundary Layer Meteorology Luke Simmons.
ERS 482/682 Small Watershed Hydrology
CSIRO LAND and WATER Estimation of Spatial Actual Evapotranspiration to Close Water Balance in Irrigation Systems 1- Key Research Issues 2- Evapotranspiration.
Internal Flow: Mass Transfer Chapter 8 Section 8.9.
CARBON DIOXIDE STRIPPING: -Fundamentals -Computer Design Model
Reducing uncertainty in NEE estimates from flux measurements D. Hollinger, L. Mahrt, J. Sun, and G.G. Katul Ameriflux Meeting, Boulder CO., October 20,
Evapotranspiration - Rate and amount of ET is the core information needed to design irrigation projects, managing water quality, predicting flow yields,
V olatile O rganic C ompound measurements at SMEAR II station with P roton T ransfer R eaction – M ass S pectrometry Taina M. Ruuskanen 1, Risto Taipale.
Carbon-Nitrogen Interactions Breakout Group Flocke/Guenther: What is the impact of changes in vegetation, including the dead trees on CO2 uptake biogenic.
The Chemistry of Seawater An Introduction to the World’s Oceans Sverdrup et al. - Chapter Six - 8th Ed.
AMBIENT AIR CONCENTRATION MODELING Types of Pollutant Sources Point Sources e.g., stacks or vents Area Sources e.g., landfills, ponds, storage piles Volume.
Techniques for measuring ammonia emissions from land applications of manure and fertiliser Institute of Grassland and Environmental Research, North Wyke.
Evaporation What is evaporation? How is evaporation measured? How is evaporation estimated? Reading: Applied Hydrology Sections 3.5 and 3.6 With assistance.
Abstract Carbon Fluxes Across Four Land Use Types in New Hampshire Sean Z. Fogarty, Lucie C. Lepine, Andrew P. Ouimette — University of New Hampshire,
Nelius Foley, Matteo Sottocornola, Paul Leahy, Valerie Rondeau, Ger Kiely Hydrology, Micrometeorology and Climate Change University College Cork, IrelandEnvironmental.
Results from the SMEAR III urban measurement station
 The sources patterns were evaluated using a soil-vegetation-atmosphere model (SurfAtm-NH3) that incorporates the response of the NH 3 emissions to surface.
Ammonia Measurement Techniques Ji-Qin (Jee-Chin) Ni, Ph.D. Dept. of Agricultural and Biological Engineering Purdue University October 21, 2008 Albuquerque,
Evaporation from Flux Towers  S = P – D - ET Change in water content of volume of soil precipitation drainage By Dr Marcy Litvak Dept of Biological Sciences.
How Do Forests, Agriculture and Residential Neighborhoods Interact with Climate? Andrew Ouimette, Lucie Lepine, Mary Martin, Scott Ollinger Earth Systems.
Transport & Deposition of Air Pollutants David Gay Coordinator National Atmospheric Deposition Program University of Illinois, Champaign, IL ,
Field research was conducted at the University of Minnesota Rosemount Research and Outreach Center. The experiment was conducted in a 17 ha agricultural.
Development of Flux Capabilities & Recent developments at the Borden Forest Research Station Ralf Staebler.
New Measurements of Hygroscopicity- & Size-Resolved Particle Fluxes Brittany Phillips, K. Dawson, T. Royalty, R. Reed, M. D. Petters, and N. Meskhidze.
4. Atmospheric chemical transport models 4.1 Introduction 4.2 Box model 4.3 Three dimensional atmospheric chemical transport model.
Lecture 8 Evapotranspiration (1) Evaporation Processes General Comments Physical Characteristics Free Water Surface (the simplest case) Approaches to Evaporation.
The Role of Virtual Tall Towers in the Carbon Dioxide Observation Network Martha Butler The Pennsylvania State University ChEAS Meeting June 5-6, 2006.
Investigating the Carbon Cycle in Terrestrial Ecosystems (ICCTE) Scott Ollinger * -PI, Jana Albrecktova †, Bobby Braswell *, Rita Freuder *, Mary Martin.
Measurements in Fluid Mechanics 058:180:001 (ME:5180:0001) Time & Location: 2:30P - 3:20P MWF 218 MLH Office Hours: 4:00P – 5:00P MWF 223B-5 HL Instructor:
AOSC 634 Air Sampling and Analysis Vertical Flux Eddy Correlation (Eddy Covariance) And Vertical Gradient Copyright Brock et al. 1984; Dickerson
AWMA Southern Section 2010 Annual Conference Scott Kirby August 4, 2010.
Testing LW fingerprinting with simulated spectra using MERRA Seiji Kato 1, Fred G. Rose 2, Xu Liu 1, Martin Mlynczak 1, and Bruce A. Wielicki 1 1 NASA.
How Do Forests, Agriculture and Residential Neighborhoods Interact with Climate? Andrew Ouimette, Lucie Lepine, Mary Martin, Scott Ollinger Earth Systems.
ATM 301 Lecture #11 (sections ) E from water surface and bare soil.
CAMELS- uncertainties in data Bart Kruijt, Isabel van den Wyngaert, Ronald Hutjes, Celso von Randow, Jan Elbers, Eddy Moors...
Measurements of Mass and Energy Exchange using Aircraft-based Sensors R.L. Desjardins, D. Worth, Mauder, M., Metzger, S., and R. Srinivasan 15th EMS Conference,
Evapotranspiration Eric Peterson GEO Hydrology.
Lagrangian particle models are three-dimensional models for the simulation of airborne pollutant dispersion, able to account for flow and turbulence space-time.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
OEAS 604: Introduction to Physical Oceanography Surface heat balance and flux Chapters 2,3 – Knauss Chapter 5 – Talley et al. 1.
SiSPAT-Isotope model Better estimates of E and T Jessie Cable Postdoc - IARC.
Top Down Emission Analyses Theme 17 th GEIA Conference Nov. 19, 2015 Alex Guenther Department of Earth System Science University of California, Irvine.
Evaporation What is evaporation? How is evaporation measured?
Evaporation What is evaporation? How is evaporation measured? How is evaporation estimated? Reading for today: Applied Hydrology Sections 3.5 and 3.6 Reading.
Evaluating Local-scale CO 2 Meteorological Model Transport Uncertainty for the INFLUX Urban Campaign through the Use of Realistic Large Eddy Simulation.
Analysing and Modelling CO 2 fluxes across the air-sea boundary Anthony Bloom Project Supervisors: Ian Brooks, Conny Schwierz.
Niels Crosley Munksgaard
Evaporation from Flux Towers  S = P – D - ET Change in water content of volume of soil precipitation drainage By Dr Marcy Litvak Dept of Biological Sciences.
Modeling of heat and mass transfer during gas adsorption by aerosol particles in air pollution plumes T. Elperin1, A. Fominykh1, I. Katra2, and B. Krasovitov1.
Nitrogen Deposition: Measurement Techniques and Field Studies
Dennis Baldocchi & James Dorsey
Models of atmospheric chemistry
Continuous measurement of airborne particles and gases
Atmospheric modelling of HMs Sensitivity study
Presentation transcript:

Micromet Methods for Determining Fluxes of Nitrogen Species Tilden P. Meyers NOAA/ARL Atmospheric Turbulence and Diffusion Division Oak Ridge, TN

Presentation Objectives  Discuss various methodologies to measure NH 3 exchange  Highlight specific sampling considerations and guidelines for each method  Present results from various field experiments

All micrometeorological methods are constrained by: 1. Fluxes don't vary in X,Y plane in the flux “footprint” 2. The exchange at the surface is same as that at sensor height

For NH 3, we often are interested in characterizing deposition as well as emission Emission sources of NH 3 generally are characterized by small areas that have spatial scales less than a typical flux footprint (swine lagoons, poultry farms, etc.) Deposition targets are vegetation (grasslands, forests, crops, soil) that can have considerable spatial extent, but are often located in areas that have small NH 3 concentrations

For characterizing NH 3 emissions Integrated Mass Balance Average emission rate = what is advected past tower

Flux = Similarly, inverse Lagrangian methods have been used to estimate the mean source area emission strength from measurements of NH3 concentrations downwind of the source area. (Flesch et al, 1995, J. Applied Meteorology) (Kljun, et al., 2002, Boundary-Layer Meteorology)

The application of micromet methods is not limited by the micromet state of the art but by the current methods used to measure the trace gas of interest (NH 3 ). Fast time response (> 1 Hz)  eddy covariance Slow but accurate  gradient methods (AM,MBR) Accumulation methods  (conditional sampling (REA)

Emission  flux+ w+,c+, w-,c-, +  Deposition  flux- w-,c+, w+,c-,  - Eddy covariance is inherently a noise rejection method as the high number of samples in an averaging period (30 min – 60 min) will average out if errors are random with a mean of 0. Useful results can be obtained even with low signal/noise ratios. Eddy covariance

Advantages of Eddy Covariance  Good time resolution  Inherently a noise rejection method > many samples Consideration s  Usually requires major power for pumps, etc.  Usually not “all” weather instrumentation  If using sampling tubes, tubes, and inlet losses

 Measure the flux (eddy covariance) and vertical gradient of constituent (heat, water vapour, CO 2 ) over specified height.  Compute effective transfer coefficient (flux/gradient)  Measure vertical gradient of NH 3 over same height interval and apply computed transfer coefficient to obtain a measure of the flux Gradient (Modified Bowen Ratio Method)

Water vapor and CO 2 gradients To remove bias error, use same analyzer for both heights, switching at 30 sec to 5 min intervals and allowing for representative sampling. Relative error For T c = 60 s,  s, = 10%

Advantages of MBR  Good for slow response trace gas sensors  Adequate time resolution (30 min -> hour) Considerations  Bias tests on surrogate scalars  Bias test on trace gas gradient systems  Sampling tube and inlet losses

Conditional Sampling Relaxed Eddy Accumulation For sampling gases and aerosols in accumulation devices like annular denuders, filterpacks, etc. Flux =  w (C up - C dn )  empirical coefficient, 0.6  w = standard deviation vertical velocity C up, C dn = average concentration of updrafts, downdrafts

What constitutes an updraft, etc.? Separate “w” into three bins deadband +/ m/s  dead accumulator updraft > 0.1 m/s  up accumulator downdraft < -0.1 m/s  down accumulator

Updraft Downdraft Deadband (mid)

Ammonia Fluxes (REA) ● USDA/ARS-BARC J. Meisinger ● NOAA/ARL W. Luke  20 l/min flow  cyclone/impactor 2.5  m cut-point  citric acid (phosphoric) coated denuders  3-4 hour sample intervals

These plants could use a drink mmh

Average Loss 1.5 kg N/ha/day

Advantages of REA  When used with denuders and filterpacks, can sample several species at once (NH 3, NH 4, SO 2, | SO 4, HNO 3, NO 3 ) Consideration s  Very manual intensive with denuders (cleaning, coating, exposing, extracting, IC analysis  Sample flows and extraction volumes need to be measured very accurately