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2. Characterisation of urinary protein in health and renal disease

Author

Strong., Kimberley Janelle

Subjects
ComputingMilieux_COMPUTERSANDEDUCATION, ComputerApplications_COMPUTERSINOTHERSYSTEMS, Uncategorized
Abstract

This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.

Published
2021
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3. Ground-based validation of the Copernicus Sentinel-5p TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks

Author

Verhoelst, Tiji, Pinardi, Gala, Eskes, Henk J., Fjæraa, Ann Mari, Boersma, Klaas Folkert, Levelt, Pieternel F., Navarro-Comas, Monica, Piters, Ankie J. M., Sinyakov, Valery P., Strong, Kimberley, Veefkind, Pepijn J., Yela-González, Margarita, Verhoelst, Tijl, Compernolle, Steven, Pinardi, Gaia, Lambert, Jean-Christopher, Eskes, Henk, Eichmann, Kai-Uwe, Fjaeraa, Ann, Granville, José, Niemeijer, Sander, Cede, Alexander, Tiefengraber, Martin, Hendrick, François, Pazmino, Andrea, Bais, Alkiviadis, Bazureau, Ariane, Folkert Boersma, K, Bognar, Kristof, Dehn, Angelika, Donner, Sebastian, Elokhov, Aleksandr, Gebetsberger, Manuel, Goutail, Florence, Grutter de la Mora, Michel, Gruzdev, Aleksandr, Gratsea, Myrto, Hansen, Georg, Irie, Hitoshi, Jepsen, Nis, Kanaya, Yugo, Karagkiozidis, Dimitris, Kivi, Rigel, Kreher, Karin, Levelt, Pieternel, Liu, Cheng, Müller, Moritz, Navarro Comas, Monica, Piters, Ankie, Pommereau, Jean-Pierre, Portafaix, Thierry, Prados-Roman, Cristina, Puentedura, Olga, Querel, Richard, Remmers, Julia, Richter, Andreas, Rimmer, John, Rivera Cárdenas, Claudia, Saavedra De Miguel, Lidia, Sinyakov, Valery, Stremme, Wolfgang, Strong, Kimberly, Van Roozendaël, Michel, Pepijn Veefkind, J, Wagner, Thomas, Wittrock, Folkard, Yela González, Margarita, Zehner, Claus, Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), Royal Netherlands Meteorological Institute (KNMI), Norsk Institutt for Luftforskning (NILU), Meteorology and Air Quality Group, Wageningen University and Research [Wageningen] (WUR), Delft University of Technology (TU Delft), Instituto Nacional de Técnica Aeroespacial (INTA), Kyrgyz National University of Jusup Balasagyn, Department of Physics [Toronto], University of Toronto, BK Scientific GmbH, Institut für Umweltphysik [Bremen] (IUP), Universität Bremen, Science [&] Technology Corporation [Delft] (S [&] T), NASA Goddard Space Flight Center (GSFC), Institute of Meteorology and Geophysics [Innsbruck], University of Innsbruck, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Laboratory of Atmospheric Physics [Thessaloniki], Aristotle University of Thessaloniki, European Space Research Institute (ESRIN), European Space Agency (ESA), Max-Planck-Institut für Chemie (MPIC), Max-Planck-Gesellschaft, A.M.Obukhov Institute of Atmospheric Physics (IAP), Russian Academy of Sciences [Moscow] (RAS), Centro de Ciencias de la Atmosfera [Mexico], Universidad Nacional Autónoma de México (UNAM), National Observatory of Athens (NOA), Center for Environmental Remote Sensing [Chiba] (CEReS), Chiba University, Danish Meteorological Institute (DMI), Research Institute for Global Change (RIGC), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Space and Earth Observation Centre [Sodankylä], Finnish Meteorological Institute (FMI), Department of Precision Machinery and Precision Instrumentation [Hefei], University of Science and Technology of China [Hefei] (USTC), Laboratoire de l'Atmosphère et des Cyclones (LACy), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Météo France, National Institute of Water and Atmospheric Research [Lauder] (NIWA), University of Manchester [Manchester], Institute of Environmental Physics [Bremen] (IUP), and University of Bremen

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
Abstract

International audience; This paper reports on consolidated ground-based validation results of the atmospheric NO2 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 NO2 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 −0.2 Pmolec/cm2, 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 NO2 column, with small to slightly positive bias values for columns below 6 Pmolec/cm2 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 (0.5 Pmolec/cm2), but exceed those for the tropospheric column data (0.7 Pmolec/cm2). 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 2 Pmolec/cm2 and more) are observed at single ground-pixel level, the near-real-time (NRTI) and off-line (OFFL) versions of the S5p NO2 operational data processor provide similar NO2 column values and validation results when globally averaged, with the NRTI values being on average 0.79 % larger than the OFFL values.

Published
2021
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4. Distribution and variability of NH3 in Mexico City from ground-based FTIR and space-based IASI measurements

Author

Herrera, Beatriz, Grutter, Michel, Stremme, Wolfgang, Magaldi, Adolfo, Strong, Kimberley, Viatte, Camille, Universidad Nacional Autónoma de México (UNAM), University of Toronto, TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), and Cardon, Catherine

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere
Abstract

International audience; The most abundant alkaline compound in the atmosphere is ammonia (NH3). This key gas is involved in several chemical reactions, especially those to neutralize acids. NH3 also contributes to aerosol formation and particulate matter, with potential consequences to the environment, human health, and radiative forcing. NH3 is primarily emitted by agricultural sources; however, it is also present in urban environments like Mexico City, one of North America’s biggest cities with a high population density and major pollution episodes. This work investigates the temporal and spatial variability of NH3, including some enhancement events, to address the lack of information available in this region. Using solar absorption ground-based measurements from two Fourier transform infrared (FTIR) spectrometers located in urban and rural areas of Mexico City, total columns NH3 were retrieved using the PROFFIT9 algorithm. These measurements were complemented by satellite data products over the Mexico City area from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on board the MetOp-A platform.The ground-based results reveal similarities in the seasonal variability of NH3 between the urban and rural sites and exhibit temperature dependence, with the highest columns during the warmest months and the lowest columns during the cold and rainy seasons. In contrast, the diurnal pattern of NH3 present remarked differences due to the meteorology and the surrounding urban sources. Both sites showed an increasing trend of NH3 through the most recent years. The IASI total columns of NH3 are smaller than the urban FTIR columns (using coincidence criteria of 20 km and 80 min), but exhibit similar seasonal variability and provide information about the spatial distribution of NH3 around the Mexico City region, identifying the highest concentrations in the northeast area. Back-trajectory analysis was used to confirm the influence of this area in the observed NH3 enhancement events. These findings provide insight into atmospheric processes involving NH3 and can be used to improve air quality models.

Published
2020

5. Ground-based validation of the Copernicus Sentinel-5p TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks

Author

Verhoelst, Tiji, Compernolle, Steven, Pinardi, Gala, Lambert, Jean-Christopher, Eskes, Henk J., Eichmann, Kai-Uwe, Fjæraa, Ann Mari, Granville, José, Niemeijer, Sander, Cede, Alexander, Tiefengraber, Martin, Hendrick, François, Pazmino, Andrea, Bais, Alkiviadis, Bazureau, Ariane, Boersma, Klaas Folkert, Bognar, Kristof, Dehn, Angelika, Donner, Sebastian, Elokhov, Aleksandr, Gebetsberger, Manuel, Goutail, Florence, Grutter de la Mora, Michel, Gruzdev, Aleksandr, Gratsea, Myrto, Hansen, Georg, Irie, Hitoshi, Jepsen, Nis, Kanaya, Yugo, Karagkiozidis, Dimitris, Kivi, Rigel, Kreher, Karin, Levelt, Pieternel F., Liu, Cheng, Müller, Moritz, Navarro-Comas, Monica, Piters, Ankie J. M., Pommereau, Jean-Pierre, Portafaix, Thierry, Puentedura, Olga, Querel, Richard, Remmers, Julia, Richter, Andreas, Rimmer, John, Rivera Cárdenas, Claudia, Saavedra De Miguel, Lidia, Sinyakov, Valery P., Strong, Kimberley, Van Roozendaël, Michel, Veefkind, Pepijn J., Wagner, Thomas, Wittrock, Folkard, Yela-González, Margarita, Zehner, Claus, Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), Royal Netherlands Meteorological Institute (KNMI), Institut für Umweltphysik [Bremen] (IUP), Universität Bremen, Norsk Institutt for Luftforskning (NILU), Science [&] Technology Corporation [Delft] (S [&] T), NASA Goddard Space Flight Center (GSFC), Institute of Meteorology and Geophysics [Innsbruck], University of Innsbruck, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Laboratory of Atmospheric Physics [Thessaloniki], Aristotle University of Thessaloniki, Meteorology and Air Quality Group, Wageningen University and Research [Wageningen] (WUR), Department of Physics [Toronto], University of Toronto, European Space Research Institute (ESRIN), European Space Agency (ESA), Max-Planck-Institut für Chemie (MPIC), Max-Planck-Gesellschaft, A.M.Obukhov Institute of Atmospheric Physics (IAP), Russian Academy of Sciences [Moscow] (RAS), Centro de Ciencias de la Atmosfera [Mexico], Universidad Nacional Autónoma de México (UNAM), National Observatory of Athens (NOA), Center for Environmental Remote Sensing [Chiba] (CEReS), Chiba University, Danish Meteorological Institute (DMI), Research Institute for Global Change (RIGC), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Space and Earth Observation Centre [Sodankylä], Finnish Meteorological Institute (FMI), BK Scientific GmbH, Delft University of Technology (TU Delft), Department of Precision Machinery and Precision Instrumentation [Hefei], University of Science and Technology of China [Hefei] (USTC), Instituto Nacional de Técnica Aeroespacial (INTA), Laboratoire de l'Atmosphère et des Cyclones (LACy), Météo France-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), National Institute of Water and Atmospheric Research [Lauder] (NIWA), University of Manchester [Manchester], Kyrgyz National University, Institute of Environmental Physics [Bremen] (IUP), and University of Bremen

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
Abstract

This paper reports on consolidated ground-based validation results of the atmospheric NO2 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 NO2 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 −0.2 Pmolec/cm2, 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 NO2 column, with small to slightly positive bias values for columns below 6 Pmolec/cm2 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 (0.5 Pmolec/cm2), but exceed those for the tropospheric column data (0.7 Pmolec/cm2). 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 2 Pmolec/cm2 and more) are observed at single ground-pixel level, the near-real-time (NRTI) and off-line (OFFL) versions of the S5p NO2 operational data processor provide similar NO2 column values and validation results when globally averaged, with the NRTI values being on average 0.79 % larger than the OFFL values.

Published
2020
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6. Mechanism of hypoalbuminemia in rodents

Author

Koltun, Maria, Nikolovski, Julijana, Strong, Kimberley, Nikolic-Paterson, David, and Comper, Wayne D.

Subjects
Albumin -- Research, Albumin -- Physiological aspects, Rodents -- Research, Rodents -- Physiological aspects, Biological sciences
Abstract

Normal albumin loss from the plasma is thought to be minimized by a number of mechanisms, including charge repulsion with the capillary wall and an intracellular rescue pathway involving the major histocompatibility complex-related Fc receptor (FcRn)-mediated mechanism. This study investigates how these factors may influence the mechanism of hypoalbuminemia. Hypoalbuminemia in rats was induced by treatment with puromycin aminonucleoside (PA). To test the effects of PA on capillary wall permeability, plasma elimination rates were determined for tritium-labeled tracers of different-sized Ficolls, negatively charged Ficolls, and [sup.14]C-labeled tracer of albumin in control and PA-treated Sprague-Dawley rats. Urinary excretion and tissue uptake were also measured. Hypoalbuminemia was also examined in two strains of FcRn-deficient mice: [[beta].sub.2]-microglobulin ([[beta].sub.2]M) knockout (KO) mice and FcRn [alpha]-chain KO mice. The excretion rates of albumin and albumin-derived fragments were measured. PA-induced hypoalbuminemia was associated with a 2.5-fold increase in the plasma elimination rate of albumin. This increase could be completely accounted for by the increase in urinary albumin excretion. Changes in the permeability of the capillary wall were not apparent, inasmuch as there was no comparable increase in the plasma elimination rate of 36- to 85-[Angstrom] Ficoll or negatively charged 50- to 80-[Angstrom] Ficoll. In contrast, hypoalbuminemic states in [[beta].sub.2]M and FcRn KO mice were associated with decreases in excretion of albumin and albumin-derived fragments. This demonstrates that the mechanism of hypoalbuminemia consists of at least two distinct forms: one specifically associated with the renal handling of albumin and the other mediated by systemic processes. albumin; capillary wall permeability; glomerular permeability; macromolecular transport probes; plasma elimination rate: [[beta].sub.2]-microglobulin; Fc receptor

Published
2005

7. Ground-based validation of the Copernicus Sentinel-5p TROPOMI NO2 measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks

Author

Verhoelst, Tijl, primary, Compernolle, Steven, additional, Pinardi, Gaia, additional, Lambert, Jean-Christopher, additional, Eskes, Henk J., additional, Eichmann, Kai-Uwe, additional, Fjæraa, Ann Mari, additional, Granville, José, additional, Niemeijer, Sander, additional, Cede, Alexander, additional, Tiefengraber, Martin, additional, Hendrick, François, additional, Pazmiño, Andrea, additional, Bais, Alkiviadis, additional, Bazureau, Ariane, additional, Boersma, K. Folkert, additional, Bognar, Kristof, additional, Dehn, Angelika, additional, Donner, Sebastian, additional, Elokhov, Aleksandr, additional, Gebetsberger, Manuel, additional, Goutail, Florence, additional, Grutter de la Mora, Michel, additional, Gruzdev, Aleksandr, additional, Gratsea, Myrto, additional, Hansen, Georg H., additional, Irie, Hitoshi, additional, Jepsen, Nis, additional, Kanaya, Yugo, additional, Karagkiozidis, Dimitris, additional, Kivi, Rigel, additional, Kreher, Karin, additional, Levelt, Pieternel F., additional, Liu, Cheng, additional, Müller, Moritz, additional, Navarro Comas, Monica, additional, Piters, Ankie J. M., additional, Pommereau, Jean-Pierre, additional, Portafaix, Thierry, additional, Puentedura, Olga, additional, Querel, Richard, additional, Remmers, Julia, additional, Richter, Andreas, additional, Rimmer, John, additional, Rivera Cárdenas, Claudia, additional, Saavedra de Miguel, Lidia, additional, Sinyakov, Valery P., additional, Strong, Kimberley, additional, Van Roozendael, Michel, additional, Veefkind, J. Pepijn, additional, Wagner, Thomas, additional, Wittrock, Folkard, additional, Yela González, Margarita, additional, and Zehner, Claus, additional

Published
2020
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11. Total ozone loss during the 2017/18 Arctic winter and comparison to previous years

Author

Goutail, Florence, Pommereau, Jean-Pierre, Pazmino, Andrea, Lefèvre, Franck, Chipperfield, Martyn, Feng, Wuhu, van Roozendaël, Michel, Jepsen, Nis, Hansen, Georg, Kivi, Rigel, Bognar, Kristof, Strong, Kimberley, Walker, Kaley, STRATO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Institute for Climate and Atmospheric Science [Leeds] (ICAS), School of Earth and Environment [Leeds] (SEE), University of Leeds-University of Leeds, Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB), Danish Meteorological Institute (DMI), Norwegian Institute for Air Research (NILU), Finnish Meteorological Institute (FMI), Department of Physics [Toronto], University of Toronto, and Cardon, Catherine

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.OCEAN] Sciences of the Universe [physics]/Ocean, Atmosphere
Abstract

International audience; The amplitude of ozone depletion in the Arctic is monitored every year since 1994 by comparison between total ozone measurements of eight SAOZ / NDACC UV-Vis spectrometers deployed in the Arctic and 3-D chemical transport model simulations in which ozone is considered as a passive tracer.The method allows determining the evolution of the daily rate of the ozone destruction and the amplitude of the cumulative loss at the end of the winter. The amplitude of the destruction varies between 0-10% in relatively warm and short vortex duration years to 25-39% in colder and longer ones.However, as shown by the unprecedented depletion of 39% in 2010/11, the loss is not only dependent on the extension of the vortex in spring, but also on its strength limiting its re-noxification by import of nitrogen oxide species from the outside, as reported by the total NO2 columns measured by the SAOZ instruments.Shown in this presentation will be the evolution of ozone loss and re-noxification in the Arctic during the winter 2017/18 compared to that of previous winters.Compared to observed SAOZ O3 loss, REPROBUS and SLIMCAT CTM simulations are showing similar losses, however the agreement may vary from one year to the other, depending on the assumptions of vortex strength and isolation. The comparison between ozone loss amplitudes and ozone loss rates, seen each year since 1994 by SAOZ and the two CTM simulations will be followed by a discussion of possible causes in their variable amplitude.

Published
2018

13. Informing patients about emerging treatment options: creating "saviour siblings" for haemopoietic stem cell transplant.

Author

Strong, Kimberley A.

Abstract

The author reflects on the issue of whether clinicians have an obligation to discuss emerging and morally controversial treatment options. She detailed the case of a couple who decided to have another child in the hope of getting umbilical cord blood to treat their daughter who was diagnosed with leukemia. She claimed that ignorance of the advantages and disadvantages of a treatment option may influence attitudes toward treatment. However, she argued that such association does not justify nondisclosure of information.

Published
2009
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