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ACT-America: Participants

Participants Role Affiliation
Project Management
Ken Davis Principal Investigator Penn State
Mike Obland Project Manager NASA LaRC
Bing Lin Project Scientist NASA LaRC
Thomas Lauvaux Deputy-PI (goals 1 and 2) Penn State
Christopher O’Dell Deputy-PI (goal 3) Colorado State
Byron Meadows Aircraft Integration NASA LaRC
Edward Browell Senior Project and Science Consultant NASA LaRC
James Crawford Ex-officio member NASA LaRC
Science Team
Josh DiGangi In situ GHG and trace gas measurements NASA LaRC
Mike Obland ACES Column CO2, altimetry and surface reflectance measurements NASA LaRC
Colm Sweeney GHG and trace gas flask sampling measurements NOAA
Matthew McGill CPL Aerosol profiles and mixed layer height measurements NASA GSFC
Jeremy Dobler MFLL Column CO2, altimetry and surface reflectance measurements Harris Corp.
John Barrick In situ meteorological measurements NASA LaRC
Amin Nehrir Instrument and operations scientist NASA LaRC
Josh DiGangi In situ GHG and trace gas measurements NASA LaRC
Colm Sweeney GHG and trace gas flask sampling measurements NOAA
John Barrick In situ meteorological measurements NASA LaRC
Amin Nehrir Instrument and operations scientist NASA LaRC
Natasha Miles Tower GHG measurements Penn State
Scott Richardson Tower GHG measurements Penn State
Kevin Bowman NASA JPL Carbon Monitoring System global inversion system for CO2,
satellite data integration
NASA JPL
Steven Pawson Carbon Monitoring System global inversion system for CO2,
satellite data integration
NASA GSFC
Lori Bruhwiler Carbon Tracker CH4 global inversion system NOAA ESRL
David Baker CSU global inversion system. CO2, ensemble methods,
in situ and satellite data integration
Colorado State U.
Andy Jacobson Carbon Tracker CO2 global inversion system U. Colorado
Thomas Lauvaux Penn State regional inversion system
WRF-LPDM-Bayesian matrix inversion
Core regional inversion modeling system for the project.
Penn State
Sha Feng Regional atmospheric and inversion modeling Penn State
Berrien Moore “Spring model” ensemble for the Great Plains.
Alternative transport model ensemble
U. Oklahoma
Sean Crowell “Spring model” ensemble for the Great Plains.
Alternative transport model ensemble
U. Oklahoma
Scott Denning Synoptic system analyses, super-parameterization transport modeling Colorado State
Jim Collatz CASA GFED model ensembles NASA GSFC
Bing Lin Aerosol, cloud and surface reflectance measurements NASA LaRC
Ed Browell Lidar CO2 measurements and analyses NASA LaRC
Chris O’Dell OCO-2 CO2 retrievals and analyses Colorado State
Anna Karion Flask analyses, CH4 studies U. Colorado
Gabrielle Petron CH4 and trace gas studies U. Colorado
John Miller 14CO2 analyses and fossil fuel CO2 studies U. Colorado
Joe Berry COS analyses, atmospheric transport analyses Carnegie Institute of Science
Gao Chen Observational data management NASA LaRC
Ali Aknan Airborne Data Archive Management NASA LaRC – SSAI
Bob Cook Model-data syntheses, model documentation and management Oak Ridge National Lab
Anna Michalak Geostatistical inversion methods, regional flux inversion methods Carnegie Institute of Science
Klaus Keller Statistics of complex systems, observational design Penn State
Fuqing Zhang Ensemble methods in mesoscale meteorology Penn State
Flight Operations Support
Jeff Callaghan C-130 Pilot Wyle
Jim Lawson C-130 Pilot Wyle
Paul Pinaud C-130 Pilot Wyle
Brian Bernth C-130 Pilot Wyle
Dave Baker C-130 Flight Engineer Wyle
Shawn Corliss C-130 Load Master Wyle
Cate Easmunt C-130 Mission Manager NASA WFF
Mike Cropper C-130 Airborne Science Mission Manager NASA WFF
Linda Thompson C-130 Integration/Operations Engineer NASA WFF
David Van Gilst C-130 Data System Manager NASA WFF-NSERC
Martin Nowicki C-130 Integration/Operations Engineer NASA WFF
Bruce Fisher King Air Platform Manager NASA LaRC
Craig Cleckner King Air Lead Mechanical Design Engineer NASA LaRC
Rick Yasky King Air Chief Pilot NASA LaRC
Les Kagey King Air Pilot NASA LaRC
Greg Slover King Air Pilot NASA LaRC
Taylor Thorson King Air Pilot NASA LaRC
Mike Wusk King Air Flight Operations Engineer NASA LaRC
Education and Public Outreach
Denise Lineberry SD Communications Team Lead / Senior Technical Writer NASA LaRC – SSAI
Jay Madigan Website Curator / Senior Website Design Engineer NASA LaRC – SSAI
Tim Marvel Lead Animator / Senior Graphic Designer NASA LaRC – SSAI
  • CAPABLE/CRAVE Full Site Photo from left to right site enclosures: 1196A NASA LaRC, MPLnet, Virginia DEQ
    CAPABLE/CRAVE Full Site Photo from left to right site enclosures: 1196A NASA LaRC, MPLnet, Virginia DEQ

  • NASA LaRC NAST-I and HU ASSIST side-by-side for intercomparison
    NASA LaRC NAST-I and HU ASSIST side-by-side for intercomparison

  • Virginia DEQ, NASA and Penn State-NATIVE Enclosures (from right to left)
    Virginia DEQ, NASA and Penn State-NATIVE Enclosures (from right to left)

  • Ozone-sonde away.
    Ozone-sonde away.
  • About to lift.
    About to lift.
PurpleAir PA-II-SD Air Quality Sensor
Laser Particle Counters
Type (2) PMS5003
Range of measurement 0.3, 0.5, 1.0, 2.5, 5.0, & 10 μm
Counting efficiency 50% at 0.3μm & 98% at ≥0.5μm
Effective range
(PM2.5 standard)*
0 to 500 μg/m³
Maximum range (PM2.5 standard)* ≥1000 μg/m³
Maximum consistency error (PM2.5 standard) ±10% at 100 to 500μg/m³ & ±10μg/m³ at 0 to 100μg/m³
Standard Volume 0.1 Litre
Single response time ≤1 second
Total response time ≤10 seconds
Pressure, Temperature, & Humidity Sensor
Type BME280
Temperature range -40°F to 185°F (-40°C to 85°C)
Pressure range 300 to 1100 hPa
Humidity Response time (τ63%): 1 s
Accuracy tolerance: ±3% RH
Hysteresis: ≤2% RH


Pandora capabilities

Instrument

Response

Parameter

Precision

Uncertainty

Range

Resolution

Pandora

~2min

Total Column O3, NO2, HCHO, SO2, H2O, BrO

0.01 DU

0.1 DU

 

 

Virginia Department of Environment Quality in-situ instrumentation

Instrument

Response

Parameter

Precision

Uncertainty

Thermo Scientific 42C (Molybdenum converter)
(VADEQ)

60 s

NO and NOx

50 pptv

3%

Teledyne API 200EU w/ photolytic converter
(EPA) PI-Szykman

20 s

NO2

50 pptv

 

Thermo Scientific 49C (VADEQ)

20 s

O3

1 ppbv

4%

Thermo Scientific 48i (VADEQ)

60 s

CO

40 ppbv

5%

Thermo Scientific 43i (VADEQ)

80 s

SO2

0.2 ppbv

5%

Thermo Scientific 1400AB TEOM (VADEQ)

600 s

PM2.5 (continuous)

µg/m3

1 3%

Thermo Scientific Partisol Plus 2025 (VADEQ)

24 hr

PM2.5 (filter-based FRM)- 1/3 days

 

 

BSRN-LRC-49
Large area view.
Latitude: 37.1038
Longitude: -76.3872
Elevation: 3 m Above sea level
Scenes: urban, marsh, bay, river and farm.

Legend

  • The inner red circle is a 20km CERES foot print centered on the BSRN-LRC site.
  • The pink circle represents a possible tangential 20km foot print.
  • The middle red circle represents the area in which a 20km foot print could fall and still see the site.
  • Yellow is a sample 40 deg off nadir foot print.
  • The outer red circle is the region which would be seen by a possible 40 deg off nadir foot print.
The BSRN-LRC sun tracker at the NASA Langley Research Center on a snowy day (02/20/2015) The BSRN-LRC sun tracker at the NASA Langley Research Center on a snowy day (02/20/2015)
CAPABLE-BSRN Google Site Location Image

Team Satellite Sensor G/L Dates Number of obs Phase angle range (°)
CMA FY-3C MERSI LEO 2013-2014 9 [43 57]
CMA FY-2D VISSR GEO 2007-2014
CMA FY-2E VISSR GEO 2010-2014
CMA FY-2F VISSR GEO 2012-2014
JMA MTSAT-2 IMAGER GEO 2010-2013 62 [-138,147]
JMA GMS5 VISSR GEO 1995-2003 50 [-94,96]
JMA Himawari-8 AHI GEO 2014- -
EUMETSAT MSG1 SEVIRI GEO 2003-2014 380/43 [-150,152]
EUMETSAT MSG2 SEVIRI GEO 2006-2014 312/54 [-147,150]
EUMETSAT MSG3 SEVIRI GEO 2013-2014 45/7 [-144,143]
EUMETSAT MET7 MVIRI GEO 1998-2014 128 [-147,144]
CNES Pleiades-1A PHR LEO 2012 10 [+/-40]
CNES Pleiades-1B PHR LEO 2013-2014 10 [+/-40]
NASA-MODIS Terra MODIS LEO 2000-2014 136 [54,56]
NASA-MODIS Aqua MODIS LEO 2002-2014 117 [-54,-56]
NASA-VIIRS NPP VIIRS LEO 2012-2014 20 [50,52]
NASA-OBPG SeaStar SeaWiFS LEO 1997-2010 204 (<10, [27-66])
NASA/USGS Landsat-8 OLI LEO 2013-2014 3 [-7]
NASA OCO-2 OCO LEO 2014
NOAA-STAR NPP VIIRS LEO 2011-2014 19 [-52,-50]
NOAA GOES-10 IMAGER GEO 1998-2006 33 [-66, 81]
NOAA GOES-11 IMAGER GEO 2006-2007 10 [-62, 57]
NOAA GOES-12 IMAGER GEO 2003-2010 49 [-83, 66]
NOAA GOES-13 IMAGER GEO 2006 11
NOAA GOES-15 IMAGER GEO 2012-2013 28 [-52, 69]
VITO Proba-V VGT-P LEO 2013-2014 25 [-7]
KMA COMS MI GEO 2010-2014 60
AIST Terra ASTER LEO 1999-2014 1 -27.7
ISRO OceanSat2 OCM-2 LEO 2009-2014 2
ISRO INSAT-3D IMAGER GEO 2013-2014 2

The NASA Prediction Of Worldwide Energy Resources (POWER) Project improves the accessibility and usage NASA Earth Observations (EO) supporting community research in three focus areas: 1) renewable energy development, 2) building energy efficiency, and 3) agroclimatology applications. The latest POWER version enhances its distribution systems to provide the latest NASA EO source data, be more resilient, support users more effectively, and provide data more efficiently. The update will include hourly-based source Analysis Ready Data (ARD), in addition to enhanced daily, monthly, annual, and climatology ARD. The daily time-series now spans 40 years for meteorology available from 1981 and solar-based parameters start in 1984. The hourly source data are from Clouds and the Earth's Radiant Energy System (CERES) and Global Modeling and Assimilation Office (GMAO), spanning 20 years from 2001.

The newly available hourly data will provide users the ARD needed to model the energy performance of building systems, providing information directly amenable to decision support tools introducing the industry standard EPW (EnergyPlus Weather file). One of POWER’s partners, Natural Resource Canada’s RETScreen™, will be simultaneously releasing a new version of its software, which will have integrated POWER hourly and daily ARD products. For our agroclimatology users, the ICASA (International Consortium for Agricultural Systems Applications standards) format for the crop modelers has been modernized.

POWER is releasing new user-defined analytic capabilities, including custom climatologies and climatological-based reports for parameter anomalies, ASHRAE® compatible climate design condition statistics, and building climate zones. The ARD and climate analytics will be readily accessible through POWER's integrated services suite, including the Data Access Viewer (DAV). The DAV has been improved to incorporate updated parameter groupings, new analytical capabilities, and the new data formats. Updated methodology documentation and usage tutorials, as well as application developer specific pages, allow users to access to POWER Data efficiently.

+Visit the POWER Program Site to Learn More.