Clarisse, L., Van Damme, M., Clerbaux, C., and Coheur, P.-F.: Tracking down global NH
3 point sources with wind-adjusted superresolution, Atmos. Meas. Tech., 12, 5457–5473,
https://doi.org/10.5194/amt-12-5457-2019, 2019.
a
Dammers, E., McLinden, C. A., Griffin, D., Shephard, M. W., Van Der Graaf, S., Lutsch, E., Schaap, M., Gainairu-Matz, Y., Fioletov, V., Van Damme, M., Whitburn, S., Clarisse, L., Cady-Pereira, K., Clerbaux, C., Coheur, P. F., and Erisman, J. W.: NH
3 emissions from large point sources derived from CrIS and IASI satellite observations, Atmos. Chem. Phys., 19, 12261–12293,
https://doi.org/10.5194/acp-19-12261-2019, 2019.
a
de Foy, B., Wilkins, J. L., Lu, Z., Streets, D. G., and Duncan, B. N.: Model
evaluation of methods for estimating surface emissions and chemical lifetimes
from satellite data, Atmos. Environ., 98, 66–77,
https://doi.org/10.1016/j.atmosenv.2014.08.051, 2014.
a,
b
de Foy, B., Lu, Z., Streets, D. G., Lamsal, L. N., and Duncan, B. N.: Estimates
of power plant NO
x emissions and lifetimes from OMI NO2 satellite retrievals,
Atmos. Environ., 116, 1–11,
https://doi.org/10.1016/j.atmosenv.2015.05.056, 2015.
a,
b,
c,
d
Ekman, V. W.: On the influence of the earth's rotation on ocean-currents, Ark. Mat. Astr. Fys., 2, 1–52,
1905. a
Eskes, H., van Geffen, J., Boersma, F., Eichmann, K., Apituley, A., Pedergnana,
M., Sneep, M., Veefkind, J., and Loyola, D.: Sentinel-5 precursor/TROPOMI
Level 2 Product User Manual Nitrogendioxide, Ministry of Infrastructure and
Water Management, 2019.
a,
b,
c
Eskes, H., van Geffen, J., Sneep, M., Veefkind, P., Niemeijer, S., and Zehner, C.: S5P Nitrogen Dioxide v02.03.01 intermediate reprocessing on the S5P-PAL system, S5P-PAL Data Portal [data set],
https://data-portal.s5p-pal.com/products/no2.html, last access: July 2022. a
Eskom: Matimba Power Station Emissions reports,
https://www.eskom.co.za/dataportal/emissions/ael/matimba-c2/, last access: 1 July 2022. a
Fioletov, V. E., McLinden, C. A., Krotkov, N., and Li, C.: Lifetimes and
emissions of SO
2 from point sources estimated from OMI, Geophys. Res.
Lett., 42, 1969–1976,
https://doi.org/10.1002/2015gl063148, 2015.
a,
b,
c,
d,
e
Goldberg, D. L., Lu, Z. F., Streets, D. G., de Foy, B., Griffin, D., McLinden,
C. A., Lamsal, L. N., Krotkov, N. A., and Eskes, H.: Enhanced Capabilities of
TROPOMI NO
2: Estimating NO
x from North American Cities and Power Plants,
Environ. Sci. Technol., 53, 12594–12601,
https://doi.org/10.1021/acs.est.9b04488, 2019.
a,
b,
c,
d
Goldberg, D. L., Anenberg, S. C., Griffin, D., McLinden, C. A., Lu, Z., and
Streets, D. G.: Disentangling the Impact of the COVID-19 Lockdowns on Urban
NO2 From Natural Variability, Geophys. Res. Lett., 47, 1–11,
https://doi.org/10.1029/2020gl089269, 2020.
a
Hakkarainen, J., Szeląg, M. E., Ialongo, I., Retscher, C., Oda, T., and Crisp,
D.: Analyzing nitrogen oxides to carbon dioxide emission ratios from space: A
case study of Matimba Power Station in South Africa, Atmos. Environ.:
X, 10, 100110,
https://doi.org/10.1016/j.aeaoa.2021.100110, 2021.
a,
b,
c,
d,
e,
f
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.-N.:
The ERA5 global reanalysis, Q. J. Roy.
Meteorol. Soc., 146, 1999–2049, 2020.
a,
b
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 hourly data on pressure levels from 1940 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) [data set],
https://doi.org/10.24381/cds.bd0915c6, 2023.
a
Holton, J. R.: An introduction to dynamic meteorology, International
Geophysics Series, Elsevier Academic Press, Burlington, MA, 4 edn.,
http://books.google.com/books?id=fhW5oDv3EPsC (last access: 1 August 2022), 2004.
a,
b
Ialongo, I., Stepanova, N., Hakkarainen, J., Virta, H., and Gritsenko, D.:
Satellite-based estimates of nitrogen oxide and methane emissions from gas
flaring and oil production activities in Sakha Republic, Russia, Atmos.
Environ.: X, 11, 100114,
https://doi.org/10.1016/j.aeaoa.2021.100114, 2021.
a
Marais, E., Pandey, A. K., Van Damme, M., Clarisse, L., Coheur, P.-F.,
Shephard, M. W., Cady-Pereira, K., Misselbrook, T., Zhu, L., Luo, G., and Yu,
F.: UK ammonia emissions estimated with satellite observations and J. Geophys. Res.-Atmos., 126, e2021JD035237,
https://doi.org/10.1029/2021JD035237, 2021.
a
Pommier, M., McLinden, C. A., and Deeter, M.: Relative changes in CO emissions
over megacities based on observations from space, Geophys. Res.
Lett., 40, 3766–3771,
https://doi.org/10.1002/grl.50704, 2013.
a
Pope, R. J., Arnold, S. R., Chipperfield, M. P., Latter, B. G., Siddans, R.,
and Kerridge, B. J.: Widespread changes in UK air quality observed from
space, Atmos. Sci. Lett., 19, e817,
https://doi.org/10.1002/asl.817, 2018.
a
Pope, R. J., Kelly, R., Marais, E. A., Graham, A. M., Wilson, C., Harrison, J. J., Moniz, S. J. A., Ghalaieny, M., Arnold, S. R., and Chipperfield, M. P.: Exploiting satellite measurements to explore uncertainties in UK bottom-up NO
x emission estimates, Atmos. Chem. Phys., 22, 4323–4338,
https://doi.org/10.5194/acp-22-4323-2022, 2022.
a
Potts, D. A., Ferranti, E. J. S., Timmis, R., Brown, A. S., and Vande Hey,
J. D.: Satellite Data Applications for Site-Specific Air Quality Regulation
in the UK: Pilot Study and Prospects, Atmosphere, 12, 1659,
https://doi.org/10.3390/atmos12121659,
2021.
a,
b
Shah, V., Jacob, D. J., Li, K., Silvern, R. F., Zhai, S., Liu, M., Lin, J., and Zhang, Q.: Effect of changing NO
x lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO
2 columns over China, Atmos. Chem. Phys., 20, 1483–1495,
https://doi.org/10.5194/acp-20-1483-2020, 2020.
a
Sorbjan, Z.: Air pollution meteorology, AIR QUALITY MODELING-Theories,
Methodologies, Computational Techniques and Available Databases and Software,
1, Chapter 4, ISBN 978-1-4757-4465-1, 2003. a
Valin, L. C., Russell, A. R., and Cohen, R. C.: Variations of OH radical in an
urban plume inferred from NO
2 column measurements, Geophys. Res.
Lett., 40, 1856–1860,
https://doi.org/10.1002/grl.50267, 2013.
a
Veefkind, J. P., Aben, I., McMullan, K., Förster, H., de Vries, J., Otter, G.,
Claas, J., Eskes, H. J., de Haan, J. F., Kleipool, Q., van Weele, M.,
Hasekamp, O., Hoogeveen, R., Landgraf, J., Snel, R., Tol, P., Ingmann, P.,
Voors, R., Kruizinga, B., Vink, R., Visser, H., and Levelt, P. F.: TROPOMI on
the ESA Sentinel-5 Precursor: A GMES mission for global observations of the
atmospheric composition for climate, air quality and ozone layer
applications, Remote Sens. Environ., 120, 70–83,
https://doi.org/10.1016/j.rse.2011.09.027, 2012.
a
Wang, K., Wu, K., Wang, C., Tong, Y., Gao, J., Zuo, P., Zhang, X., and Yue, T.:
Identification of NO
x hotspots from oversampled TROPOMI NO
2 column based on
image segmentation method, Sci. Total Environ., 803, 150007,
https://doi.org/10.1016/j.scitotenv.2021.150007, 2022.
a
