arcticcap: arctic carbon aircraft profile · 2018. 3. 7. · aircraft profile colmsweeney 1,2 ,...
TRANSCRIPT
ArcticCap: Arctic Carbon Aircraft Profile
Colm Sweeney1,2, Kathryn McKain1,2, Sonja Wolter1,2, Steve Conley, Roisin Commane4, Charles Miller4, Steve Wofsy4, Sebastien Biraud6, John Henderson7, Luke Schiferl4
1University of Colorado, Boulder CO, 803092NOAA/ESRL, Boulder CO, 80305
3 Scientific Aviation, Boulder CO, 803044 Harvard University, Cambridge MA, 02138
5Jet Propulsion Lab, NASA, Pasadena, CA 911096Lawrence Berkeley Labs, Berkeley, CA
7Atmospheric and Environmental Research, Lexington, MA 02421
ABoVE – ArcticCAPArctic Carbon Aircraft Profiles
Campaign Statistics:- 6 campaigns (April – November)- 56 Flights (316 hours)- 25 Vertical profiles per campaign- Measured insitu CO2, CH4, CO and H2O- Multi-species flasks (CO2, CH4, CO, Hydrocarbons, Halocarbons
Basic ObservationsCO! − Short drawdown period (July). CH4 – Enhancements were observed in PBL throughout the 6 campaignsCO – Indicate July was the largest fire month.
ABoVE – ArcticCAPAPR/MAY
JUNE
JULY
AUG.
SEPT.
OCT./NOV.
CH4 CO2 CO
Surface influenceThe actual flight paths
Surface influenceShape of profiles are the result of recent surface influence
2017 Season in the ABoVE domain
ActicCAP: April – November ASCENDS: July – AugustCoast Guard C130: June , July, August, SeptemberAtom -3: Feburary, October
ActicCAP CO2, CH4 and CO measurements were substantially enhanced by measurements on several other flight platforms.
Altitude
Flight Platform
Time of year
Retrospective study
US Coast Guard flights2009 - 2017
CARVE 2011-2015
NOAA North Slope2016
DOE North Slope2015
This study will benefit from many different aircraft and ground measurements that have been made in Arctic over the last 8 years
Planned analysis
• Roisin Quantify spatially explicit, temporally resolved CO2 and CH4 flux for 2017
vertical profile measurements[CO2], [CH4] measured column
enhancements
WRF-STILTfootprints
PVPRM-SIFsimulated flux
modeled column enhancements
additive fluxsimulated flux optimized flux
geostatistical inverse model (GIM)
model-measure difference
minimize
(Schiferl, poster)