arcticcap: arctic carbon aircraft profile · 2018. 3. 7. · aircraft profile colmsweeney 1,2 ,...

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)