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Jacob, D. J. , A. J. Turner, J. D. Maasakkers, J. Sheng, K. Sun, X

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Presentation on theme: "Jacob, D. J. , A. J. Turner, J. D. Maasakkers, J. Sheng, K. Sun, X"— Presentation transcript:

1 Satellite observations of atmospheric methane and their value for quantifying methane emissions
Jacob, D.J., A.J. Turner, J.D. Maasakkers, J. Sheng, K. Sun, X. Liu, K. Chance, I. Aben, J. McKeever, and C. Frankenberg,  Atmos. Chem. Phys.,16,  , doi: /acp , 2016. 

2 Observing methane from space
Solar backscatter (SWIR) Thermal emission (TIR) Lidar (SWIR) Wavelength [µm] SWIR methane absorption bands 1.65 µm allows “proxy method” from combined CO2 retrieval 2.3 µm allows CO retrieval

3 Solar back-scatter instruments for observing methane from space
Agency Data period Pixel size [km2] Return time Band [µm] Precision Past/present SCIAMACHY ESA 3060 6 days 1.65 1.5 % GOSAT JAXA 2009- 1010 3 days (sparse) 0.6 % GHGSat GHGSat, Inc. 2016- 0.05x0.05 targets 1-10% Future TROPOMI 2017- 77 1 day 2.3 0.6% GOSAT-2 2018- 10x10 both 0.3% geoCARB NASA selected 45 2 hours 1.0% Proposed CarbonSat proposed 22 5-10 days 0.4% GeoFTS 3x3 0.2% G3E 2x3 0.5% CHRONOS 4x4 1 hour

4 Methane observations from SCIAMACHY and GOSAT
Dry column average mixing ratio XCH4

5 New gridded version of EPA US methane inventory
Inventory with 0.1ox0.1o monthly resolution and scale-dependent error characterization for use as prior estimate in inverse analyses 2012 Maasakkers et al. [2016]

6 Comparing EPA and EDGAR inventories for south-central US
EDGAR v4.2 has large errors, compromising inverse analyses and their interpretation Maasakkers et al. [2016]

7 Observing methane from space in the future
Observing methane from space in the future. This animation illustrates the capabilities of different satellite instruments to map methane emissions from the Barnett Shale region of northeast Texas. This region features major methane emissions from oil/gas production, livestock, and landfills. The animations show two days of observations by GOSAT (2009-present), TROPOMI (2017 launch), and the geostationary GCIRI (proposed to NASA). During those two days, GOSAT has only one observation over the region. TROPOMI provides complete daily mapping at 1:30 pm local time but can be blocked by clouds. GCIRI provides complete hourly mapping with high pixel resolution, enabling notably the detection of so-called "super-emitters". The slide illustrates the tremendous future potential of TROPOMI and geostationary observations for mapping methane emissions. From Melissa Sulprizio and Daniel Jacob (Harvard).

8 Detectability of regional and point sources of methane
 Instrument Averaging time required to quantify regional source (Q =72 tons h-1 over 300300 km2) Single-pass point source detection threshold [tons h-1] SCIAMACHY 1 year 68 GOSAT 7.1 TROPOMI Single pass (1 day) 4.2 GCIRI/geoCARB Single pass (1-2 hours) 4.0 GHGSat NA 0.25 Cumulative pdf of point sources reporting to GHGRP Cumulative pdf of 10×10 km2 emission pixels across US

9 Some recommendations for the future
Combine SWIR and TIR retrievals to resolve vertical distribution of methane - Improve detectability and data interpretation for the Arctic Fly geostationary mission with staring sub-km capability over source regions - Detect point sources, “super-emitters”, cloudy wetlands Improve global bottom-up inventories for inverse analyses Improve quality and interpretation of inversions, top-down/bottom-up partnership Develop combined satellite + suborbital observing systems for source regions - Suborbital perspective essential for monitoring multitude of point sources


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