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Methane emissions from an oil sands tailings pond: A quantitative comparison of fluxes derived by different methods.
- Source :
- Atmospheric Measurement Techniques Discussions; 5/26/2020, p1-40, 24p
- Publication Year :
- 2020
-
Abstract
- This paper reports on consolidated ground-based validation results of the atmospheric NO<subscript>2</subscript> data produced operationally since April 2018 by the TROPOMI instrument on board of the ESA/EU Copernicus Sentinel-5 Precursor (S5p) satellite. Tropospheric, stratospheric, and total NO<subscript>2</subscript> column data from S5p are compared to correlative measurements collected from, respectively, 19 Multi-Axis DOAS (MAX-DOAS), 26 NDACC Zenith-Scattered-Light DOAS (ZSL-DOAS), and 25 PGN/Pandora instruments distributed globally. The validation methodology gives special care to minimizing mismatch errors due to imperfect spatio-temporal co-location of the satellite and correlative data, e.g., by using tailored observation operators to account for differences in smoothing and in sampling of atmospheric structures and variability, and photochemical modelling to reduce diurnal cycle effects. Compared to the ground-based measurements, S5p data show, on an average: (i) a negative bias for the tropospheric column data, of typically -23 to -37% in clean to slightly polluted conditions, but reaching values as high as -51% over highly polluted areas; (ii) a slight negative bias for the stratospheric column data, of about -0.2Pmolec/cm<superscript>2</superscript>, i.e. approx. -2% in summer to -15% in winter; and (iii) a bias ranging from zero to -50% for the total column data, found to depend on the amplitude of the total NO<subscript>2</subscript> column, with small to slightly positive bias values for columns below 6Pmolec/cm<superscript>2</superscript> and negative values above. The dispersion between S5p and correlative measurements contains mostly random components, which remain within mission requirements for the stratospheric column data (0.5Pmolec/cm<superscript>2</superscript>), but exceed those for the tropospheric column data (0.7Pmolec/cm<superscript>2</superscript>). While a part of the biases and dispersion may be due to representativeness differences, it is known that errors in the S5p tropospheric columns exist due to shortcomings in the (horizontally coarse) a-priori profile representation in the TM5-MP chemistry transport model used in the S5p retrieval, and to a lesser extent, to the treatment of cloud effects. Although considerable differences (up to 2Pmolec/cm<superscript>2</superscript> and more) are observed at single ground-pixel level, the near-real-time (NRTI) and off-line (OFFL) versions of the S5p NO<subscript>2</subscript> operational data processor provide similar NO<subscript>2</subscript> column values and validation results when globally averaged, with the NRTI values being on average 0.79% larger than the OFFL values. [ABSTRACT FROM AUTHOR]
- Subjects :
- OIL sands
PONDS
FLUX (Energy)
METHANE
Subjects
Details
- Language :
- English
- ISSN :
- 18678610
- Database :
- Complementary Index
- Journal :
- Atmospheric Measurement Techniques Discussions
- Publication Type :
- Academic Journal
- Accession number :
- 143447385
- Full Text :
- https://doi.org/10.5194/amt-2020-116