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1. Nitrogen Oxides in the Global Upper Troposphere: Interpreting Cloud-Sliced NO2 Observations from the OMI Satellite Instrument

Author

Marais, Eloise A, Jacob, Daniel J, Choi, Sungyeon, Joiner, Joanna, Belmonte-Rivas, Maria, Cohen, Ronald C, Beirle, Steffen, Murray, Lee T, Schiferl, Luke D, Shah, Viral, and Jaegle, Lyatt

Subjects
Earth Resources And Remote Sensing
Abstract

Nitrogen oxides (NOx≡NO+NO2) in the upper troposphere (UT) have a large impact on global tropospheric ozone and OH (the main atmospheric oxidant). New cloud-sliced observations of UT NO2 at 450–280 hPa (∼6–9 km) from the Ozone Monitoring Instrument (OMI) produced by NASA and the Royal Netherlands Meteorological Institute (KNMI) provide global coverage to test our understanding of the factors controlling UT NOx. We find that these products offer useful information when averaged over coarse scales (20°×32°, seasonal), and that the NASA product is more consistent with aircraft observations of UT NO2. Correlation with Lightning Imaging Sensor (LIS) and Optical Transient Detector (OTD) satellite observations of lightning flash frequencies suggests that lightning is the dominant source of NOx to the upper troposphere except for extratropical latitudes in winter. The NO2 background in the absence of lightning is 10–20 pptv. We infer a global mean NOx yield of 280±80 moles per lightning flash, with no significant difference between the tropics and midlatitudes, and a global lightning NOx source of 5.9±1.7 Tg N a(exp −1). There is indication that the NOx yield per flash increases with lightning flash footprint and with flash energy.

Published
2018
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2. Copernicus Marine Service Ocean State Report, Issue 3

Author

Von Schuckmann, Karina, Le Traon, Pierre-yves, Smith, Neville, Pascual, Ananda, Djavidnia, Samuel, Gattuso, Jean-pierre, Grégoire, Marilaure, Nolan, Glenn, Aaboe, Signe, Aguiar, Eva, Álvarez Fanjul, Enrique, Alvera-azcárate, Aida, Aouf, Lotfi, Barciela, Rosa, Behrens, Arno, Belmonte Rivas, Maria, Ben Ismail, Sana, Bentamy, Abderrahim, Borgini, Mireno, Brando, Vittorio E., Bensoussan, Nathaniel, Blauw, Anouk, Bryère, Philippe, Buongiorno Nardelli, Bruno, Caballero, Ainhoa, Çağlar Yumruktepe, Veli, Cebrian, Emma, Chiggiato, Jacopo, Clementi, Emanuela, Corgnati, Lorenzo, De Alfonso, Marta, De Pascual Collar, Álvaro, Deshayes, Julie, Di Lorenzo, Emanuele, Dominici, Jean-marie, Dupouy, Cécile, Drévillon, Marie, Echevin, Vincent, Eleveld, Marieke, Enserink, Lisette, García Sotillo, Marcos, Garnesson, Philippe, Garrabou, Joaquim, Garric, Gilles, Gasparin, Florent, Gayer, Gerhard, Gohin, Francis, Grandi, Alessandro, Griffa, Annalisa, Gourrion, Jerome, Hendricks, Stefan, Heuzé, Céline, Holland, Elisabeth, Iovino, Doroteaciro, Juza, Mélanie, Kurt Kersting, Diego, Kipson, Silvija, Kizilkaya, Zafer, Korres, Gerasimos, Kõuts, Mariliis, Lagemaa, Priidik, Lavergne, Thomas, Lavigne, Heloise, Ledoux, Jean-baptiste, Legeais, Jean Francois, Lehodey, Patrick, Linares, Cristina, Liu, Ye, Mader, Julien, Maljutenko, Ilja, Mangin, Antoine, Manso-narvarte, Ivan, Mantovani, Carlo, Markager, Stiig, Mason, Evan, Mignot, Alexandre, Menna, Milena, Monier, Maeva, Mourre, Baptiste, Müller, Malte, Nielsen, Jacob Woge, Notarstefano, Giulio, Ocaña, Oscar, Patti, Bernardo, Payne, Mark R., Peirache, Marion, Pardo, Silvia, Pérez Gómez, Begoña, Pisano, Andrea, Perruche, Coralie, Peterson, K. Andrew, Pujol, Marie-isabelle, Raudsepp, Urmas, Ravdas, Michalis, Raj, Roshin P., Renshaw, Richard, Reyes, Emma, Ricker, Robert, Rubio, Anna, Sammartino, Michela, Santoleri, Rosalia, Sathyendranath, Shubha, Schroeder, Katrin, She, Jun, Sparnocchia, Stefania, Staneva, Joanna, Stoffelen, Ad, Szekely, Tanguy, Tilstone, Gavin H., Tinker, Jonathan, Tintoré, Joaquín, Tranchant, Benoît, Uiboupin, Rivo, Van Der Zande, Dimitry, Wood, Richard, Woge Nielsen, Jacob, Zabala, Mikel, Zacharioudaki, Anna, Zuberer, Frédéric, Zuo, Hao, Von Schuckmann, Karina, Le Traon, Pierre-yves, Smith, Neville, Pascual, Ananda, Djavidnia, Samuel, Gattuso, Jean-pierre, Grégoire, Marilaure, Nolan, Glenn, Aaboe, Signe, Aguiar, Eva, Álvarez Fanjul, Enrique, Alvera-azcárate, Aida, Aouf, Lotfi, Barciela, Rosa, Behrens, Arno, Belmonte Rivas, Maria, Ben Ismail, Sana, Bentamy, Abderrahim, Borgini, Mireno, Brando, Vittorio E., Bensoussan, Nathaniel, Blauw, Anouk, Bryère, Philippe, Buongiorno Nardelli, Bruno, Caballero, Ainhoa, Çağlar Yumruktepe, Veli, Cebrian, Emma, Chiggiato, Jacopo, Clementi, Emanuela, Corgnati, Lorenzo, De Alfonso, Marta, De Pascual Collar, Álvaro, Deshayes, Julie, Di Lorenzo, Emanuele, Dominici, Jean-marie, Dupouy, Cécile, Drévillon, Marie, Echevin, Vincent, Eleveld, Marieke, Enserink, Lisette, García Sotillo, Marcos, Garnesson, Philippe, Garrabou, Joaquim, Garric, Gilles, Gasparin, Florent, Gayer, Gerhard, Gohin, Francis, Grandi, Alessandro, Griffa, Annalisa, Gourrion, Jerome, Hendricks, Stefan, Heuzé, Céline, Holland, Elisabeth, Iovino, Doroteaciro, Juza, Mélanie, Kurt Kersting, Diego, Kipson, Silvija, Kizilkaya, Zafer, Korres, Gerasimos, Kõuts, Mariliis, Lagemaa, Priidik, Lavergne, Thomas, Lavigne, Heloise, Ledoux, Jean-baptiste, Legeais, Jean Francois, Lehodey, Patrick, Linares, Cristina, Liu, Ye, Mader, Julien, Maljutenko, Ilja, Mangin, Antoine, Manso-narvarte, Ivan, Mantovani, Carlo, Markager, Stiig, Mason, Evan, Mignot, Alexandre, Menna, Milena, Monier, Maeva, Mourre, Baptiste, Müller, Malte, Nielsen, Jacob Woge, Notarstefano, Giulio, Ocaña, Oscar, Patti, Bernardo, Payne, Mark R., Peirache, Marion, Pardo, Silvia, Pérez Gómez, Begoña, Pisano, Andrea, Perruche, Coralie, Peterson, K. Andrew, Pujol, Marie-isabelle, Raudsepp, Urmas, Ravdas, Michalis, Raj, Roshin P., Renshaw, Richard, Reyes, Emma, Ricker, Robert, Rubio, Anna, Sammartino, Michela, Santoleri, Rosalia, Sathyendranath, Shubha, Schroeder, Katrin, She, Jun, Sparnocchia, Stefania, Staneva, Joanna, Stoffelen, Ad, Szekely, Tanguy, Tilstone, Gavin H., Tinker, Jonathan, Tintoré, Joaquín, Tranchant, Benoît, Uiboupin, Rivo, Van Der Zande, Dimitry, Wood, Richard, Woge Nielsen, Jacob, Zabala, Mikel, Zacharioudaki, Anna, Zuberer, Frédéric, and Zuo, Hao

Published
2019
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4. Copernicus Marine Service Ocean State Report, Issue 3

Author

von Schuckmann, Karina, primary, Le Traon, Pierre-Yves, additional, Smith, Neville, additional, Pascual, Ananda, additional, Djavidnia, Samuel, additional, Gattuso, Jean-Pierre, additional, Grégoire, Marilaure, additional, Nolan, Glenn, additional, Aaboe, Signe, additional, Aguiar, Eva, additional, Álvarez Fanjul, Enrique, additional, Alvera-Azcárate, Aida, additional, Aouf, Lotfi, additional, Barciela, Rosa, additional, Behrens, Arno, additional, Belmonte Rivas, Maria, additional, Ben Ismail, Sana, additional, Bentamy, Abderrahim, additional, Borgini, Mireno, additional, Brando, Vittorio E., additional, Bensoussan, Nathaniel, additional, Blauw, Anouk, additional, Bryère, Philippe, additional, Buongiorno Nardelli, Bruno, additional, Caballero, Ainhoa, additional, Çağlar Yumruktepe, Veli, additional, Cebrian, Emma, additional, Chiggiato, Jacopo, additional, Clementi, Emanuela, additional, Corgnati, Lorenzo, additional, de Alfonso, Marta, additional, de Pascual Collar, Álvaro, additional, Deshayes, Julie, additional, Di Lorenzo, Emanuele, additional, Dominici, Jean-Marie, additional, Dupouy, Cécile, additional, Drévillon, Marie, additional, Echevin, Vincent, additional, Eleveld, Marieke, additional, Enserink, Lisette, additional, García Sotillo, Marcos, additional, Garnesson, Philippe, additional, Garrabou, Joaquim, additional, Garric, Gilles, additional, Gasparin, Florent, additional, Gayer, Gerhard, additional, Gohin, Francis, additional, Grandi, Alessandro, additional, Griffa, Annalisa, additional, Gourrion, Jérôme, additional, Hendricks, Stefan, additional, Heuzé, Céline, additional, Holland, Elisabeth, additional, Iovino, Doroteaciro, additional, Juza, Mélanie, additional, Kurt Kersting, Diego, additional, Kipson, Silvija, additional, Kizilkaya, Zafer, additional, Korres, Gerasimos, additional, Kõuts, Mariliis, additional, Lagemaa, Priidik, additional, Lavergne, Thomas, additional, Lavigne, Heloise, additional, Ledoux, Jean-Baptiste, additional, Legeais, Jean-François, additional, Lehodey, Patrick, additional, Linares, Cristina, additional, Liu, Ye, additional, Mader, Julien, additional, Maljutenko, Ilja, additional, Mangin, Antoine, additional, Manso-Narvarte, Ivan, additional, Mantovani, Carlo, additional, Markager, Stiig, additional, Mason, Evan, additional, Mignot, Alexandre, additional, Menna, Milena, additional, Monier, Maeva, additional, Mourre, Baptiste, additional, Müller, Malte, additional, Nielsen, Jacob Woge, additional, Notarstefano, Giulio, additional, Ocaña, Oscar, additional, Patti, Bernardo, additional, Payne, Mark R., additional, Peirache, Marion, additional, Pardo, Silvia, additional, Pérez Gómez, Begoña, additional, Pisano, Andrea, additional, Perruche, Coralie, additional, Peterson, K. Andrew, additional, Pujol, Marie-Isabelle, additional, Raudsepp, Urmas, additional, Ravdas, Michalis, additional, Raj, Roshin P., additional, Renshaw, Richard, additional, Reyes, Emma, additional, Ricker, Robert, additional, Rubio, Anna, additional, Sammartino, Michela, additional, Santoleri, Rosalia, additional, Sathyendranath, Shubha, additional, Schroeder, Katrin, additional, She, Jun, additional, Sparnocchia, Stefania, additional, Staneva, Joanna, additional, Stoffelen, Ad, additional, Szekely, Tanguy, additional, Tilstone, Gavin H., additional, Tinker, Jonathan, additional, Tintoré, Joaquín, additional, Tranchant, Benoît, additional, Uiboupin, Rivo, additional, Van der Zande, Dimitry, additional, von Schuckmann, Karina, additional, Wood, Richard, additional, Woge Nielsen, Jacob, additional, Zabala, Mikel, additional, Zacharioudaki, Anna, additional, Zuberer, Frédéric, additional, and Zuo, Hao, additional

Published
2019
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10. Nitrogen oxides in the global upper troposphere: interpreting cloud-sliced NO2 observations from the OMI satellite instrument

Author

Marais, Eloise A., primary, Jacob, Daniel J., additional, Choi, Sungyeon, additional, Joiner, Joanna, additional, Belmonte-Rivas, Maria, additional, Cohen, Ronald C., additional, Beirle, Steffen, additional, Murray, Lee T., additional, Schiferl, Luke, additional, Shah, Viral, additional, and Jaeglé, Lyatt, additional

Published
2018
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12. Limb-nadir matching using non-coincident NO2 observations : Proof of concept and the OMI-minus-OSIRIS prototype product

Author

Adams, Cristen, Normand, Elise N., McLinden, Chris A., Bourassa, Adam E., Lloyd, Nicholas D., Degenstein, Douglas A., Krotkov, Nickolay A., Belmonte Rivas, Maria, Boersma, Folkert, and Eskes, Henk

Subjects
Meteorologie en Luchtkwaliteit, WIMEK, Meteorology and Air Quality, Life Science
Abstract

A variant of the limb–nadir matching technique for deriving tropospheric NO2 columns is presented in which the stratospheric component of the NO2 slant column density (SCD) measured by the Ozone Monitoring Instrument (OMI) is removed using non-coincident profiles from the Optical Spectrograph and InfraRed Imaging System (OSIRIS). In order to correct their mismatch in local time and the diurnal variation of stratospheric NO2, OSIRIS profiles, which were measured just after sunrise, were mapped to the local time of OMI observations using a photochemical box model. Following the profile time adjustment, OSIRIS NO2 stratospheric vertical column densities (VCDs) were calculated. For profiles that did not reach down to the tropopause, VCDs were adjusted using the photochemical model. Using air mass factors from the OMI Standard Product (SP), a new tropospheric NO2 VCD product – referred to as OMI-minus-OSIRIS (OmO) – was generated through limb–nadir matching. To accomplish this, the OMI total SCDs were scaled using correction factors derived from the next-generation SCDs that improve upon the spectral fitting used for the current operational products. One year, 2008, of OmO was generated for 60° S to 60° N and a cursory evaluation was performed. The OmO product was found to capture the main features of tropospheric NO2, including a background value of about 0.3 × 1015 molecules cm−2 over the tropical Pacific and values comparable to the OMI operational products over anthropogenic source areas. While additional study is required, these results suggest that a limb–nadir matching approach is feasible for the removal of stratospheric NO2 measured by a polar orbiter from a nadir-viewing instrument in a geostationary orbit such as Tropospheric Emissions: Monitoring of Pollution (TEMPO) or Sentinel-4.

Published
2016

14. Nitrogen oxides in the global upper troposphere: interpreting cloud-sliced NO2 observations from the OMI satellite instrument.

Author

Marais, Eloise A., Jacob, Daniel J., Sungyeon Choi, Joiner, Joanna, Belmonte-Rivas, Maria, Cohen, Ronald C., Beirle, Steffen, Murray, Lee T., Schiferl, Luke, Shah, Viral, and Jaeglé, Lyatt

Abstract

Nitrogen oxides (NOx ≡ NO + NO2) in the upper troposphere (UT) have a large impact on global tropospheric ozone and OH (the main atmospheric oxidant). New cloud-sliced observations of UT NO2 at 450-280 hPa (~ 6-9 km) from the OMI satellite instrument produced by NASA and KNMI provide global coverage to test our understanding of the factors controlling UT NOx. We find that these products offer useful information when averaged over coarse scales (20° x 32°, seasonal), and that the NASA product is more consistent with aircraft observations of UT NO2. Correlation with LIS/OTD satellite observations of lightning flash frequencies shows that lightning is the dominant source of NOx to the upper troposphere except for extratropical latitudes in winter. We infer a global mean NOx yield of 280 moles per lightning flash, with no significant difference between the tropics and mid-latitudes, and a global lightning NOx source of 5.6 Tg N a-1. There is indication that the NOx yield per flash increases with lightning flash footprint and with flash energy. [ABSTRACT FROM AUTHOR]

Published
2018
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16. Phase altimetry with dual polarization GNSS-R over sea ice

Author

#NODATA#, Estel Cardellach [0000-0001-8908-0972], Fabra, Fran, Cardellach, Estel, Rius, Antonio, Ribó, Serni, Oliveras, Santiago, Nogués-Correig, Oleguer, Belmonte Rivas, Maria, Semmling, Maximilian, D'Addio, Salvatore, #NODATA#, Estel Cardellach [0000-0001-8908-0972], Fabra, Fran, Cardellach, Estel, Rius, Antonio, Ribó, Serni, Oliveras, Santiago, Nogués-Correig, Oleguer, Belmonte Rivas, Maria, Semmling, Maximilian, and D'Addio, Salvatore

Abstract

This paper evaluates the potential use of reflected signals from Global Navigation Satellite Systems as a source of opportunity for the retrieval of absolute ellipsoidal heights over sea ice. Accurate estimation of the surface level would be helpful for the determination of the ice thickness, a key parameter for classification and characterization of sea ice masses. Our analysis is based on altimetric estimations from the coherent differential phase between direct and both cross- and co-polar reflected signals. For this purpose, GPS waveforms have been collected from a fixed platform in Greenland, monitoring the complete process of sea ice formation and melting during a 7-month period. The variability of coherent phase samples and polarimetric measurements are compared with in situ observations to make a realistic rough characterization of the ice cover. The retrieved sea ice surface height estimates are then evaluated against an Arctic tide model, ice surface temperature from moderate-resolution imaging spectroradiometer, and the laser altimetry product from ICESat. © 2011 IEEE.

Published
2012

19. Phase Altimetry With Dual Polarization GNSS-R Over Sea Ice

Author

Fabra, Fran, primary, Cardellach, Estel, additional, Rius, Antonio, additional, Ribo, Serni, additional, Oliveras, Santi, additional, Nogues-Correig, Oleguer, additional, Belmonte Rivas, Maria, additional, Semmling, Maximilian, additional, and D'Addio, Salvatore, additional

Published
2012
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21. Sea Ice Roughness From Airborne LIDAR Profiles.

Author

Belmonte Rivas, Maria, Maslanik, James A., Sonntag, John G., and Axelrad, Penina

Subjects
*ELECTROMAGNETIC surface waves, *SURFACE roughness, *OPTICAL radar, *SEA ice, *ICE navigation
Abstract

Light detection and ranging (LIDAR) data acquired during the AMSR-Ice03 Arctic flights are used to observe and characterize the spectral behavior of sea ice roughness. Height distributions and roughness spectral densities are derived from surface profiles measured over a variety of sea ice types. The spectral densities are fit to Lorentzian curves to obtain the correlation length and root-mean-square height of roughness within the sampling bandpass of the LIDAR profiler. The utilization of these spectral parameters outside of their bandpass is also discussed. [ABSTRACT FROM AUTHOR]

Published
2006
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22. Spatial Variability of Barrow-Area Shore-Fast Sea Ice and Its Relationships to Passive Microwave Emissivity.

Author

Maslanik, James A., Sturm, Matthew, Belmonte Rivas, Maria, Gasiewski, Albin J., Heinrichs, John F., Herzfeld, Ute C., Holmgren, Jon, Klein, Marian, Markus, Thorsten, Perovich, Donald K., Sonntag, John G., Stroeve, Julienne C., and Tape, Ken

Subjects
MICROWAVE devices, SURFACE roughness, SEA ice, SNOW measurement, SNOW, METEOROLOGICAL precipitation
Abstract

Aircraft-acquired passive microwave data, laser radar height observations, RADARSAT synthetic aperture radar imagery, and in situ measurements obtained during the AMSR-Ice03 experiment are used to investigate relationships between microwave emission and ice characteristics over several space scales. The data fusion allows delineation of the shore-fast ice and pack ice in the Barrow area, AK, into several ice classes. Results show good agreement between observed and Polarimetric Scanning Radiometer (PSR)-derived snow depths over relatively smooth ice, with larger differences over ridged and rubbled ice. The PSR results are consistent with the effects on snow depth of the spatial distribution and nature of ice roughness, ridging, and other factors such as ice age. Apparent relationships exist between ice roughness and the degree of depolarization of emission at 10, 19, and 37 GHz. This depolarization would yield overestimates of total ice concentration using polarization-based algorithms, with indications of this seen when the NT-2 algorithm is applied to the PSR data. Other characteristics of the microwave data, such as effects of grounding of sea ice and large contrast between sea ice and adjacent land, are also apparent in the PSR data. Overall, the results further demonstrate the importance of macroscale ice roughness conditions such as ridging and rubbling on snow depth and microwave emissivity. [ABSTRACT FROM AUTHOR]

Published
2006
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