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CSA Contribution to the CEOS Workshop on GHGs 18-19 June 2018, Ispra, Italy D r . M . D e j m e k S u n - E a r t h S y s t e m S c i e n c e s S p a c e U t i l i z a t i o n Presentation Outline Canadas Radarsat-2 and SCISAT


  1. CSA Contribution to the CEOS Workshop on GHGs 18-19 June 2018, Ispra, Italy D r . M . D e j m e k S u n - E a r t h S y s t e m S c i e n c e s S p a c e U t i l i z a t i o n Presentation Outline Canada’s Radarsat-2 and SCISAT missions, GHGs measured, integration into modeling, in-situ measurements, ECCC and GHGs, national inventories.

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  3. Monitoring Permafrost with Radarsat-2 Because climate change affects the Arctic at twice the rate of other areas, the seasonal freeze and thaw of the • region's permafrost layer has altered over the last decade; Radarsat-2 D-InSAR stack data used to derive seasonal ground displacement information for permafrost regions, • reflect thaw settlement properties of surficial geology, validated with ground-based measurements, resulting in sub-cm agreement in dry areas; 4

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  5. Original objective: Monitor ozone and ozone depleting substances (UN Montreal Protocol) Now : only satellite measuring many critical gases Strategic objective: ECV-quality datasets to be used by decision-makers. Now : Contribute to UN Montreal Protocol reporting; begin reporting on Paris Climate Agreement and Kigali Amendment to Strategic objective: UN Montreal Protocol. Produce ECV-quality data products. Now : ECCC and UN reports acknowledge SCISAT’s unique measurements. Titre ici / Title here – Date ici / Date here 6

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  7. Interaction with Space Data Teams Interaction with Modeling Teams • SABER: Consistent results for vertical profile and trends up to ~100km, at 100km – trend is within estimated uncertainties; • MIPAS: Very good agreement below 100 km with best agreement during solstice (±5%) differences increase with altitude after 100km, agreement is excellent in equinox when CO 2 gradients are generally less pronounced; SCIAMACHY: Showed reasonable agreement Interaction with In-Situ: Aircraft CO 2 Future Work and Lessons Learned  HIPPO – HIAPER Pole-to-Pole Observations • Validation and trends of the new 14+ year ACE-FTS  CONTRAIL – Comprehensive Observation v4.0 CO 2 profile data product; Network for Trace gases by Airline • More detailed trend analysis of MIPAS CO 2 data,  retrieve CO 2 vmr, application of alternative retrieval CARIBIC - Civil Aircraft for the Regular algorithms for CO 2 ; Investigation of the atmosphere Based on an • Further analysis of WACCM model to produce Instrument Container CO x /CO 2 trends on par with ACE-FTS and SABER in 55 12 109 • In-situ observations give a latitude gradient the lower thermosphere; between 45 and 65 degrees at 10km in boreal • Need more and longer data sets; spring of 6ppm, while ACE-FTS shows gradients • Increase temporal and spatial coverage of ACE-FTS of 5, 6, 4, and 1ppm at 9.5, 10.5, 11.5, and instrument. 12.5km respectively, showing agreement # Authors involved in SCISAT-related studies for the period 2014-18; # Affiliations for the period of 2014-18; # Countries for the period of 2014-18.

  8. Interaction with Space Data Teams Interaction with Modeling Teams • TANSO-FTS – Overall good agreement; below 15km: 4%, • WACCM – Good agreement up to ~20km, above 15km ~0%; weaker agreement above 20km; • MIPAS – Overall good agreement; 17km: 15%, 20–65 km: • BASCOE – Good agreement within ~10%, 12%, 38 km: 12%, above 50 km: 3%; higher CH 4 mixing weaker agreement in tropical lower than ACE-FTS; • HALOE – Below 40km – 5% lower, 40-65km – 10-15% stratosphere; lower; • TM5/LMDz – Average XCH 4 bias reduced from • SCIAMACHY ONDP – Good agreement above 20km, 38.1 to 13.7 ppb, from 8.7 to 4.3 ppb for TM5 weaker agreement below 20km; and 6.8 to 4.3 ppb for LMDz; • AIM SOFIE – Qualitative good agreement found when CMAM30 – Good agreement for NH polar combining all seasons, Summer: close agreement within • ~5% for ~40-65km in NH and SH, Fall: difference of ~5% at winter or spring; ~30-50km with ~±20% difference above and below that • ENS (Experiment) – Good agreement with range. differences mostly below 10%. Interaction with In-Situ: Ground-Based CH 4 Future Work and Lessons Learned • NDACC FTIR – Statistically good agreement: • Resolve differences between land and ocean differences not significant for N high latitudes, N regions; mid-latitudes, tropical regions, S mid-latitudes, • Reduce differences between satellite-borne and S high latitudes; XCH 4 data and models. • PARIS-IR – CH4 columns good agreement: 3% • Increase number of aircraft profiles; difference, partial column agreement within • Develop greater sensitivity/altitude range, estimated uncertainty; 101 19 212 and reduced biases; • Bruker 125HR FTS – High correlation even with • Validation of MIPAS data in the tropics; ~20% differences, partial column agreement within: ±8.0%. • Resolve unexpected vertical oscillation of CH 4 profiles; # Authors involved in SCISAT-related studies for the period 2014-18; # Affiliations for the period of 2014-18; # Countries for the period of 2014-18.

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  11. Canadian TCCON sites 12

  12. ECCC’s Climate Research Activities Related to GHGs Operation of the Dr. Neil Trivett Global Atmosphere Watch Operation of the long-term atmospheric measurement program (GAW) Observatory at Alert, NU for greenhouse gases 410 400 Carbon Dioxide Concentration 390 380 370 360 350 (ppm) 340 330 320 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 Year GHG intercomparison supersites Alert is one of three global GHG inter-comparison sites, alongside Mauna Loa (U.S.) and Cape Grimm (Australia). Its data record is one of the longest in the world. Research on integration of surface and space-based Research on development and evaluation of technology for observations to estimate GHG sources and sinks using data improving space-based observations of GHGs assimilation techniques at national, sub-national, and urban scale Nassar et al. (2017) GRL www.aim-north.ca HEO offers Environment and Climate Change Canada’s more Carbon Assimilation System: favourable view angles for high latitudes Toronto, Canada GEO viewing

  13. Quantifying CO 2 Emissions from Power Plants with OCO-2 • Collaborative work between Environment and Climate Change Canada (ECCC) and NASA • Where direct overpasses or close flybys of mid- to large-sized coal power plants occur, XCO 2 enhancements observed with OCO-2’s limited imaging capability are fit to a Gaussian plume model that was run with a priori emissions, yielding an a posteriori emission estimate. Sasan Ultra Mega Power Plant Modelled values truncated sampled by OCO-2 at 50 km Oct 2014 Sasan and 2 nearby sources ECMWF -178.80°, 1.84 m/s modelled MERRA 176.95°, 2.15 m/s Nassar et al. (2017) GRL https://doi.org/10.1002/2017GL074702 • Total uncertainty on the daily emission estimate is determined from uncertainties in wind speed, the background definition, biases in the data and any secondary sources in the area. • Demonstrated on US power plants with emissions from EPA, then applied to India & S. Africa • Sasan reported annual value equivalent to 60.2 kt/day and we estimate 67.9±10.0 ktCO 2 /day 14

  14. ECCC develops, compiles and publishes the NIR annually Peer Review / Verification • ECCC's GHG Emissions Reporting Program • Environmental and industry stakeholders Inventory Scope and Features • Provincial experts • Other Federal departments • Time series coverage (2017 Pollutant Inventories & Reporting Division NIR): 1990-2015 Review Inventory • Inventory estimates emissions Experts Agriculture and Inventory LULUCF Submission of 7 GHGs: National to the Inventory UNFCCC Quality Report – Carbon dioxide (CO 2 ) GHG Inventory Management & Transport Development and Verification April 13 – Methane (CH 4 ) Quality Industrial Management – Nitrous Oxide (N 2 O) Processes Review Section CRF – Sulfur hexafluoride (SF 6 ) Tables UNFCCC – Perfluorocarbons (PFCs) Expert Review – Hydrofluorocarbons (HFCs) Waste Mining Facility Energy Additional Data Generation and Data – Nitrogen Trifluoride (NF 3 ) Diffuse Sources Section • Provincial / Territorial Emissions by Gas and by Economic Sector • Presented by individual gas and • More detailed sectoral breakdown Users of the GHG Inventory Data combined as CO 2 eq • Emission Trends / Projections • GHG Indicators • Regulation & Policy Development • Provincial GHG Inventories Page 15 – June-18-18

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