A Discussion on TEMPO Draft CH2O Validation Plan

Slides:



Advertisements
Similar presentations
Improving the View of Air Quality from Space Jim Crawford Science Directorate NASA Langley.
Advertisements

Diurnal Variability of Aerosols Observed by Ground-based Networks Qian Tan (USRA), Mian Chin (GSFC), Jack Summers (EPA), Tom Eck (GSFC), Hongbin Yu (UMD),
Quantifying uncertainties of OMI NO 2 data Implications for air quality applications Bryan Duncan, Yasuko Yoshida, Lok Lamsal, NASA OMI Retrieval Team.
DIRECT TROPOSPHERIC OZONE RETRIEVALS FROM SATELLITE ULTRAVIOLET RADIANCES Alexander D. Frolov, University of Maryland Robert D. Hudson, University of.
NO X Chemistry in CMAQ evaluated with remote sensing Russ Dickerson et al. (2:30-2:45PM) University of Maryland AQAST-3 June 13, 2012 Madison, WI The MDE/UMD.
Improvement and validation of OMI NO 2 observations over complex terrain A contribution to ACCENT-TROPOSAT-2, Task Group 3 Yipin Zhou, Dominik Brunner,
Aquarius/SAC-D Mission Validation Working Group Summary Gary Lagerloef 6 th Science Meeting; Seattle, WA, USA July 2010.
On average TES exhibits a small positive bias in the middle and lower troposphere of less than 15% and a larger negative bias of up to 30% in the upper.
Objective: Work with the WRAP, CenSARA, CDPHE, BLM and EPA Region 8 to use satellite data to evaluate the Oil and Gas (O&G) modeled NOx emission inventories.
Status S5p TROPOMI Pepijn Veefkind.
Aircraft spiral on July 20, 2011 at 14 UTC Validation of GOES-R ABI Surface PM2.5 Concentrations using AIRNOW and Aircraft Data Shobha Kondragunta (NOAA),
EARLINET and Satellites: Partners for Aerosol Observations Matthias Wiegner Universität München Meteorologisches Institut (Satellites: spaceborne passive.
TEMPO NO 2 Validation Ron Cohen, UC Berkeley. 1. Precision of 1x10 15 molecules/cm 2 (~0.5 ppb in the PBL) Approach: ~3 Pandoras for 1 month; 4 seasons.
Algorithms and chemical data assimilation activities at Environment Canada Chris McLinden Air Quality Research Division, Environment Canada 2 nd TEMPO.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Lok Lamsal, Nickolay Krotkov, Randall Martin, Kenneth Pickering, Chris Loughner, James Crawford, Chris McLinden TEMPO Science Team Meeting Huntsville,
TEMPO Simulation and Retrieval Tools and Algorithm Testing at SAO Xiong Liu 3 rd TEMPO Science Team Meeting Huntsville, Al, May 27,
The Second TEMPO Science Team Meeting Physical Basis of the Near-UV Aerosol Algorithm Omar Torres NASA Goddard Space Flight Center Atmospheric Chemistry.
Methods for Incorporating Lightning NO x Emissions in CMAQ Ken Pickering – NASA GSFC, Greenbelt, MD Dale Allen – University of Maryland, College Park,
SATELLITE OBSERVATIONS OF ATMOSPHERIC CHEMISTRY Daniel J. Jacob.
Investigations of Artifacts in the ISCCP Datasets William B. Rossow July 2006.
Rutherford Appleton Laboratory Remote Sensing Group Tropospheric ozone retrieval from uv/vis spectrometery RAL Space - Remote Sensing Group Richard Siddans,
Satellite Remote Sensing of NO 2 as an Indicator of Aerosol Pollution: Opportunities from GEMS (and GOCI) Observations Randall Martin with contributions.
Simulation Experiments for TEMPO Air Quality Objectives Peter Zoogman, Daniel Jacob, Kelly Chance, Xiong Liu, Arlene Fiore, Meiyun Lin, Katie Travis, Annmarie.
Some Applications of Satellite Remote Sensing for Air Quality: Implications for a Geostationary Constellation Randall Martin, Dalhousie and Harvard-Smithsonian.
Characterization of GOES Aerosol Optical Depth Retrievals during INTEX-A Pubu Ciren 1, Shobha Kondragunta 2, Istvan Laszlo 2 and Ana Prados 3 1 QSS Group,
1 Xiong Liu Harvard-Smithsonian Center for Astrophysics K.V. Chance, C.E. Sioris, R.J.D. Spurr, T.P. Kurosu, R.V. Martin, M.J. Newchurch,
Geostationary satellite mission for air quality and coastal ecosystems One of 15 missions recommended to NASA for the next decade by the U.S. National.
A Brief Overview of CO Satellite Products Originally Presented at NASA Remote Sensing Training California Air Resources Board December , 2011 ARSET.
Satellite Remote Sensing of the Air Quality Health Index Randall Martin, Dalhousie and Harvard-Smithsonian Aaron van Donkelaar, Lok Lamsal, Dalhousie University.
NASA Langley Research Center / Atmospheric Sciences CERES Instantaneous Clear-sky and Monthly Averaged Radiance and Flux Product Overview David Young NASA.
Visible vicarious calibration using RTM
The Lodore Falls Hotel, Borrowdale
General Comments First time a suite of ozone pre-cursors, ozone, PM2.5 will be measured on hourly time scale.  Lends itself to investigating photochemical.
Fourth TEMPO Science Team Meeting
Daytime variations of AOD and PM2
INTERCONTINENTAL TRANSPORT: CONCENTRATIONS AND FLUXES
Quantifying uncertainties of OMI NO2 data
N. Bousserez, R. V. Martin, L. N. Lamsal, J. Mao, R. Cohen, and B. R
Near UV aerosol products
Mapping surface air concentrations from OMI and inferring cancer risks: implications for TEMPO Lei Zhu TEMPO STM 06/01/2017 Lei Zhu, Daniel J. Jacob, Frank.
Detecting regional and point sources of methane from space
GEO-CAPE to TEMPO GEO-CAPE mission defined in 2007 Earth Science Decadal Survey Provide high temporal & spatial resolution observations from geostationary.
Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC Height-resolved aerosol R.Siddans.
R2971 Seq0100 Scn003 Hohenpeissenberg (48N, 11W)
Need for TEMPO-ABI Synergy
How Can TEMPO Contribute to Air Pollution Health Effects Research
Federated activities to support the geophysical validation of
TEMPO Validation Activities: Ozone validation plan
NPOESS Airborne Sounder Testbed (NAST)
Towards achieving continental scale field validation and multi-sensor interoperability of satellite derived surface reflectance in Australia Medhavy Thankappan1,
Satellite Remote Sensing of a Multipollutant Air Quality Health Index
SATELLITE OBSERVATIONS OF ATMOSPHERIC CHEMISTRY
TEMPO Validation Activities: Context, Methods, and Tools
Using dynamic aerosol optical properties from a chemical transport model (CTM) to retrieve aerosol optical depths from MODIS reflectances over land Fall.
Satellite Remote Sensing of Ozone-NOx-VOC Sensitivity
Pandora Data
Satellite Remote Sensing of Ground-Level NO2 for New Brunswick
ECV definitions Mapping of ECV product with OSCAR variables
Diurnal Variation of Nitrogen Dioxide
6th TEMPO Science Team Meeting
Chris Sioris Kelly Chance
Chris Sioris Kelly Chance
SATELLITE OBSERVATIONS OF OZONE PRECURSORS FROM GOME
MEASUREMENT OF TROPOSPHERIC COMPOSITION FROM SPACE IS DIFFICULT!
2019 TEMPO Science Team Meeting
Off-line 3DVAR NOx emission constraints
Updating a Fuel-based Inventory of Vehicle Emissions
Science Panel Perspective
Airborne Trace Gas Retrievals from GeoTASO and GCAS
Presentation transcript:

A Discussion on TEMPO Draft CH2O Validation Plan Jim Szykman, Jay Herman, & all interested in CH2O May 27-28, 2015 3rd TEMPO Science Team Meeting UAH-NSSTC Huntsville, AL

Proposed Approach for validation (presented at 1st STM) Validation conducted from commissioning till end of Phase E (end of operations) Mission duration, subject to instrument availability Baseline 20 months Threshold 12 months Level Product Definition Approach Raw instr. Sci. and HK data Quality flags for duplicates, missing files, checksums 1b Level 1 geo-located, calibrated spectral radiances Comparisons with measured and modeled radiances based on coincident column measurements 2 Retrieved gas columns and profiles, aerosol, clouds, UVB Comparisons with ground-based, balloon-borne, sub-orbital, and satellite remote-sensed products 2 NRT Retrieved gas, aerosols, clouds, UVB Comparison with L2 normal delivery products 3† Gridded monthly means of L2 data Comp. with correlative measurements and climatologies

(Selected Scenes) Baseline only PLRA 4.1.1 and 4.1.2 Baseline and threshold data products Species/Products Required Precision   Temporal Revisit 0-2 km O3 (Selected Scenes) Baseline only 10 ppbv 2 hour Tropospheric O3 1 hour Total O3 3% Tropospheric NO2 1.0 × 1015 molecules cm-2 Tropospheric H2CO 1.0 × 1016 molecules cm-2 3 hour Tropospheric SO2 Tropospheric C2H2O2 4.0 × 1014 molecules cm-2 Aerosol Optical Depth 0.10 PLRA Table 1 Across Greater North America (GNA): 19°N to 57.5°N near 100°W, 67°W to 125°W near 42°N Data products at urban-regional spatial scales Baseline ≤ 60 km2 at center of Field Of Regard (FOR) Threshold ≤ 300 km2 at center of FOR Temporal scales to resolve diurnal changes in pollutant distributions Collected in cloud-free scenes Geolocation uncertainty of less than 4 km 11/29/2018

Validation Challenges Validation challenges for TEMPO CH2O column measurements: Adequacy (or lack) of correlative measurements - vertical distribution (especially within the BL) Impact a priori vertical diurnal profiles Aerosols and clouds Albedo changes and spatial gradients Sources of independent sources of CH2O measurements: Satellite data sets from independent sensors: TropOMI Aircraft observations; GCAS, GeoTASO, Aircarft in-situ profiles Ground-based measurements; Pandora For CH2O a-priori vertical profile shapes have the largest systematic impact on the satellite column errors due to the strong decrease of the satellite UV measurement sensitivity near the surface.

DISCOVER-AQ P-3 Median CH2O Profiles 5

Daily CH2O P-3 Spirals (Profiles) DISCOVER-AQ Baltimore, MD July 2011