Title: Atmospheric Results from the NACPs Mid Continent Intensive Field Campaign
1Atmospheric Results from the NACPs Mid Continent
Intensive Field Campaign
Natasha Miles, Scott Richardson, Arlyn Andrews,
Kathy Corbin, Kenneth Davis, Liza Diaz, Scott
Denning, Erandi Lokupitiya, Douglas Martins, Paul
Shepson, Colm Sweeney, and Tris West ICDC8
September 2009
2Atmospheric results from the NACPsMid
Continental Intensive
- Overall goal of Mid-Continental Intensive Seek
convergence between top-down and bottom-up
estimates of the regional flux - Oversample the atmosphere in the study region
- Atmospheric results
- Purdue Univ / NOAA ALAR (aircraft) Campaign
- NOAA aircraft program
- 9 tower sites (NOAA, PSU, U of Minn)
- NOAA Carbon Tracker
- CSU SiBcrop-RAMS model
- Comparisons to agricultural and satellite data
Rosemount
LEF
500 km
3NOAA / Purdue University ALAR
Regional Survey 15 25 June 2007
Colm Sweeney (NOAA/ESRL) Paul Shepson (Purdue
University) Doug Martins (Purdue University)
385 ppm
Front
365 ppm
17 June 2007
15 June 2007
4NOAA / Purdue University ALAR
Lagrangian Flux Estimates 19 June 2007
Tower-based eddy covariance fluxes from the
Brooks Field Site near Ames, IA
Flux tower soybeans
Flight Path
Flux tower corn
Regionally-averaged aircraft CO2 flux
Flux -10.32.4 µmol/m2/s
In-situ Profiles
Martins et al., 2009
5NOAA Aircraft Program CO2 Measurements
8000
8000
8000
8000
- Climatology of 12 of 16 currently running NOAA
aircraft project sites - 2 3 profiles / month at each site
- Increase in amplitude of the seasonal cycle from
west to east
18
CO2 (ppm)
Altitude (m)
4000
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-15
8000
8000
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6
12
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18
CO2 (ppm)
Altitude (m)
4000
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8000
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CO2 (ppm)
Altitude (m)
4000
4000
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8000
8000
8000
8000
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18
CO2 (ppm)
Altitude (m)
4000
4000
4000
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0
200
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0
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C. Sweeney (NOAA)
Deviation from global mean CO2
6NOAA tall towers in MCI region
- Non-dispersive infrared spectroscopy (LiCor,
Inc.) instruments - LEF (1994 current)
- WBI (July 2007 current)
PSU Ring 2 towers
- Network of 5 cavity ring-down spectroscopy
(Picarro, Inc.) instruments surrounding Iowa
(April 2007 October 2009) - Centerville, IA
- Galesville, WI
- Kewanee, IL
- Mead, NE
- Round Lake, MN
- Additional well-calibrated site on Ameriflux
tower at Missouri Ozarks, MO
Rosemount
LEF
U. Of Minn Rosemount tower
- Tunable diode laser instrument
- May 2007 current
data courtesy of T. Griffis
7Spatial differences / gradients during 2007
growing season on a daily time scale
- Large differences / gradients for some site pairs
- West Branch - Centerville
Difference
Gradient
8Spatial differences / gradients during growing
season on a daily time scale
-
- Large differences / gradients for some site pairs
- West Branch - Centerville (160 km)
- Other site pairs lower differences / gradients
- Mead Centerville (300 km)
- Median differences 6.0 and 1.7 ppm
- Median gradients 0.04 and 0.006 ppm/km
Difference
Gradient
9Seasonal cycle
- Large variance in seasonal drawdown, despite
being separated by 500 km - 2 groups 33 39 ppm drawdown and 24 29 ppm
drawdown (difference of about 10 ppm)
Mauna Loa wbi aircraft
NOAA (Andrews/Sweeney) U of Minn (Griffis)
10Seasonal cycle
- Large variance in seasonal drawdown, despite
being separated by 500 km - 2 groups 33 39 ppm drawdown and 24 29 ppm
drawdown (difference of about 10 ppm)
Mauna Loa wbi aircraft
NOAA (Andrews/Sweeney) U of Minn (Griffis)
11Seasonal cycle
- Large variance in seasonal drawdown, despite
being separated by 500 km - 2 groups 33 39 ppm drawdown and 24 29 ppm
drawdown (difference of about 10 ppm)
Mauna Loa wbi aircraft
NOAA (Andrews/Sweeney) U of Minn (Griffis)
12Corn NPP in the Mid Continental Intensive region
2007
T. West
13Corn NPP in the Mid Continental Intensive region
2007
Sites with larger seasonal CO2 drawdown -
Consistent with Corn belt according to NPP
T. West
14Model-data comparisons (forwards results)
- SiBcrop-RAMS (K. Corbin A. Schuh E. Lokupitiya
A.S. Denning) - June-August 2007
- Regional
- Coupled with crop phenology model for corn and
soybean developed by Lokupitiya et al. (2009)
wheat to be added
- NOAA-ESRL Carbon Tracker (A. Andrews A.
Jacobson) - 2007
- Global
- Optimized to best fit data on global obs network
(not including Ring 2)
wheat
corn
http//carbontracker.noaa.gov
soy
15Observations vs Carbon Tracker 2007
- Overall drawdown in CT 2008 is too weak
- But some features of modeled variability are
consistent with obs- large variability- mm has
less drawdown than wbi, rl, and kw in both model
and obs
16Observations vs Carbon Tracker 2007
Obs - model (ppm)
2007
- Suggestive that CT model could be improved by
adding crop details - Trajectory analysis LEF residuals large for
southerly trajectories, small for northerly
trajectories
Corn belt sites
Liza Diaz (PSU)
17Observations vs SiBcrop-RAMS 2007 growing season
growing season
- Overall drawdown compares well
- Problems with spatial distribution
18Observations vs SiBcrop-RAMS 2007 growing season
Obs model (ppm)
- Problems with spatial distribution
- Corn belt sites not enough drawdown
- Centerville, LEF too much drawdown
- Using more realistic percentages for land
cover, especially for corn, may improve results
Corn belt sites
19Seasonal cycle interannual variability
- West Branch (wbi) and Centerville (ce) differ
significantly from 2007 to 2008 - From agricultural statistics (NASS), total
estimated NPP of corn (T. West) 222 PgC
for 2007 207 PgC for 2008
Mauna Loa wbi aircraft
NOAA (Andrews/Sweeney) U of Minn (Griffis)
20Flooding in the Midwestern U.S. June 2008
21Delay in seasonal drawdown
2008
- 2008 CO2 minima is delayed by 2 4 weeks,
compared to 2007 - Effect of flood?
2007
2007 solid 2008 dashed
22Satellite-based Normalized Difference Vegetation
Index (NDVI) for Iowa crops
T. West
23Normalized Difference Vegetation Index (NDVI) for
Iowa crops
- Satellite-based 2-week delay of phenological
curve for 2008 compared to 2007, for both corn
and soy
T. West
24Summary
- Aircraft and tower results both indicate large
spatial gradients between sites despite
relatively small site separations - Seasonal cycle
- Difference amongst sites, some with very large
seasonal drawdown - Comparisons of tower obs to CarbonTracker and
SiBcrop-RAMS - Important to model agriculture correctly
- Transport important also
- Interannual variability flooding in June 2008,
atmospheric data corroborated by satellite and
agricultural statistics data - What spatial density of tower measurements is
necessary? To be answered by including subsets
of the Ring 2 data in the inversions
Natasha Miles Penn State University nmiles_at_met.psu
.edu