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Javier Martintorres - One of the best experts on this subject based on the ideXlab platform.

  • wind retrieval from temperature measurements from the rover environmental Monitoring Station mars science laboratory
    Icarus, 2020
    Co-Authors: Alvaro Soriasalinas, M P Zorzano, Roberto Mantasnakhai, Javier Martintorres
    Abstract:

    We are grateful to the entire MSL Curiosity rover team and to the REMS instrument team, in particular, for their work on the wind data on Mars, without which this research could not have been performed. MPZ has been partially funded by the Spanish State Research Agency (AEI) Project No. MDM-2017-0737 Unidad de Excelencia “Maria de Maeztu”- Centro de Astrobiologia (CSIC-INTA). The resources used for the simulations presented in this work were provided by the Graduate School of Space Technology of Lulea University of Technology. We give special thanks to Ricardo M. Fonseca for his useful comments and suggestions on this work that extended the horizons of this research from the beginning.

Joonyoung Kim - One of the best experts on this subject based on the ideXlab platform.

  • 16 ch 200 ghz dwdm passive optical fiber sensor network based on a power measurement method for water level Monitoring of the spent fuel pool in a nuclear power plant
    Sensors, 2021
    Co-Authors: Hoon-keun Lee, Jaeyul Choo, Joonyoung Kim
    Abstract:

    This paper presents a remote 16 Ch × 200 GHz dense wavelength division multiplexing (DWDM)-passive optical fiber sensor (OFS) network. We particularly investigate the remote water-level Monitoring capability of the OFS network based on an optical power measurement that features simplicity and a fast processing speed. The OFS network utilizes a seeded amplified spontaneous emission (ASE) light that is spectrum-sliced and distributed by an arrayed waveguide grating (AWG) towards multiple sensing units (SU), where each SU is installed at a different height in the water pool. Then, each SU reflects either of the two different optical powers according to the medium (air vs. water) back to the Monitoring Station. Therefore, the total received optical power at the Monitoring Station linearly changes according to the water level. We can simply recognize the water level by utilizing the optical power meter (OPM) at the Monitoring Station rather than the optical spectrum analyzer (OSA), which is bulky and expensive and requires a relatively long processing time. Consequently, we can reduce the system complexity, processing time, and cost (both installation and maintenance). However, the OPM-based OFS network requires a new methodology to derive the water level from the measured optical power. Thus, we come up with the reference-to-power ratio (RPR) analysis, which can be used for the maximum distance analysis as well as water level recognition. Based on the new reception architecture supported by the new post-processing scheme, the OFS network can distinguish 17 different water levels of the SFP at the Monitoring Station, which is >40 km away from the SFP, without using any active devices (such as optical amplifiers) at the remote places.

  • 16 Ch × 200 GHz DWDM-Passive Optical Fiber Sensor Network Based on a Power Measurement Method for Water-Level Monitoring of the Spent Fuel Pool in a Nuclear Power Plant
    'MDPI AG', 2021
    Co-Authors: Hoon-keun Lee, Jaeyul Choo, Joonyoung Kim
    Abstract:

    This paper presents a remote 16 Ch × 200 GHz dense wavelength division multiplexing (DWDM)-passive optical fiber sensor (OFS) network. We particularly investigate the remote water-level Monitoring capability of the OFS network based on an optical power measurement that features simplicity and a fast processing speed. The OFS network utilizes a seeded amplified spontaneous emission (ASE) light that is spectrum-sliced and distributed by an arrayed waveguide grating (AWG) towards multiple sensing units (SU), where each SU is installed at a different height in the water pool. Then, each SU reflects either of the two different optical powers according to the medium (air vs. water) back to the Monitoring Station. Therefore, the total received optical power at the Monitoring Station linearly changes according to the water level. We can simply recognize the water level by utilizing the optical power meter (OPM) at the Monitoring Station rather than the optical spectrum analyzer (OSA), which is bulky and expensive and requires a relatively long processing time. Consequently, we can reduce the system complexity, processing time, and cost (both installation and maintenance). However, the OPM-based OFS network requires a new methodology to derive the water level from the measured optical power. Thus, we come up with the reference-to-power ratio (RPR) analysis, which can be used for the maximum distance analysis as well as water level recognition. Based on the new reception architecture supported by the new post-processing scheme, the OFS network can distinguish 17 different water levels of the SFP at the Monitoring Station, which is >40 km away from the SFP, without using any active devices (such as optical amplifiers) at the remote places

J Gomezelvira - One of the best experts on this subject based on the ideXlab platform.

  • the meteorology of gale crater as determined from rover environmental Monitoring Station observations and numerical modeling part i comparison of model simulations with observations
    Icarus, 2016
    Co-Authors: J Gomezelvira, Scot C R Rafkin, Jorge Plagarcia, M A Kahre, Victoria E Hamilton, Mercedes Marin, Sara Navarro, J Torres, Ashwin R Vasavada
    Abstract:

    Abstract Air temperature, ground temperature, pressure, and wind speed and direction data obtained from the Rover Environmental Monitoring Station onboard the Mars Science Laboratory rover Curiosity are compared to data from the Mars Regional Atmospheric Modeling System. A full diurnal cycle at four different seasons (Ls 0, 90, 180 and 270) is investigated at the rover location within Gale crater, Mars. Model results are shown to be in good agreement with observations when considering the uncertainties in the observational data set. The good agreement provides justification for utilizing the model results to investigate the broader meteorological environment of the Gale crater region, which is described in the second, companion paper.

  • the meteorology of gale crater as determined from rover environmental Monitoring Station observations and numerical modeling part ii interpretation
    Icarus, 2016
    Co-Authors: Scot C R Rafkin, J Gomezelvira, Jorge Plagarcia, M A Kahre, Victoria E Hamilton, Mercedes Marin, Sara Navarro, J Torres, Ashwin R Vasavada
    Abstract:

    Abstract Numerical modeling results from the Mars Regional Atmospheric Modeling System are used to interpret the landed meteorological data from the Rover Environmental Monitoring Station onboard the Mars Science Laboratory rover Curiosity. In order to characterize seasonal changes throughout the Martian year, simulations are conducted at Ls 0, 90, 180 and 270. Two additional simulations at Ls 225 and 315 are explored to better understand the unique meteorological setting centered on Ls 270. The synergistic combination of model and observations reveals a complex meteorological environment within the crater. Seasonal planetary circulations, the thermal tide, slope flows along the topographic dichotomy, mesoscale waves, slope flows along the crater slopes and Mt. Sharp, and turbulent motions all interact in nonlinear ways to produce the observed weather. Ls 270 is shown to be an anomalous season when air within and outside the crater is well mixed by strong, flushing northerly flow and large amplitude, breaking mountain waves. At other seasons, the air in the crater is more isolated from the surrounding environment. The potential impact of the partially isolated crater air mass on the dust, water, noncondensable and methane cycles is also considered. In contrast to previous studies, the large amplitude diurnal pressure signal is attributed primarily to necessary hydrostatic adjustments associated with topography of different elevations, with contributions of less than 25% to the diurnal amplitude from the crater circulation itself. The crater circulation is shown to induce a suppressed boundary layer.

  • mars science laboratory relative humidity observations initial results
    Journal of Geophysical Research, 2014
    Co-Authors: Ari-matti Harri, Osku Kemppinen, J Polkko, Hannu Savijarvi, N O Renno, J Gomezelvira, J A Rodriguezmanfredi, Robert M. Haberle, M. Genzer, W. Schmidt
    Abstract:

    The Mars Science Laboratory (MSL) made a successful landing at Gale crater early August 2012. MSL has an environmental instrument package called the Rover Environmental Monitoring Station (REMS) as ...

  • curiosity s rover environmental Monitoring Station overview of the first 100 sols
    Journal of Geophysical Research, 2014
    Co-Authors: J Gomezelvira, Ari-matti Harri, Robert M. Haberle, M. Genzer, Victoria E Hamilton, C Armiens, I Carrasco, F Gomez, H Kahanpaa, Osku Kemppinen
    Abstract:

    In the first 100 Martian solar days (sols) of the Mars Science Laboratory mission, the Rover Environmental Monitoring Station (REMS) measured the seasonally evolving diurnal cycles of ultraviolet radiation, atmospheric pressure, air temperature, ground temperature, relative humidity, and wind within Gale Crater on Mars. As an introduction to several REMS-based articles in this issue, we provide an overview of the design and performance of the REMS sensors and discuss our approach to mitigating some of the difficulties we encountered following landing, including the loss of one of the two wind sensors. We discuss the REMS data set in the context of other Mars Science Laboratory instruments and observations and describe how an enhanced observing strategy greatly increased the amount of REMS data returned in the first 100 sols, providing complete coverage of the diurnal cycle every 4 to 6 sols. Finally, we provide a brief overview of key science results from the first 100 sols. We found Gale to be very dry, never reaching saturation relative humidities, subject to larger diurnal surface pressure variations than seen by any previous lander on Mars, air temperatures consistent with model predictions and abundant short timescale variability, and surface temperatures responsive to changes in surface properties and suggestive of subsurface layering.

Hoon-keun Lee - One of the best experts on this subject based on the ideXlab platform.

  • 16 ch 200 ghz dwdm passive optical fiber sensor network based on a power measurement method for water level Monitoring of the spent fuel pool in a nuclear power plant
    Sensors, 2021
    Co-Authors: Hoon-keun Lee, Jaeyul Choo, Joonyoung Kim
    Abstract:

    This paper presents a remote 16 Ch × 200 GHz dense wavelength division multiplexing (DWDM)-passive optical fiber sensor (OFS) network. We particularly investigate the remote water-level Monitoring capability of the OFS network based on an optical power measurement that features simplicity and a fast processing speed. The OFS network utilizes a seeded amplified spontaneous emission (ASE) light that is spectrum-sliced and distributed by an arrayed waveguide grating (AWG) towards multiple sensing units (SU), where each SU is installed at a different height in the water pool. Then, each SU reflects either of the two different optical powers according to the medium (air vs. water) back to the Monitoring Station. Therefore, the total received optical power at the Monitoring Station linearly changes according to the water level. We can simply recognize the water level by utilizing the optical power meter (OPM) at the Monitoring Station rather than the optical spectrum analyzer (OSA), which is bulky and expensive and requires a relatively long processing time. Consequently, we can reduce the system complexity, processing time, and cost (both installation and maintenance). However, the OPM-based OFS network requires a new methodology to derive the water level from the measured optical power. Thus, we come up with the reference-to-power ratio (RPR) analysis, which can be used for the maximum distance analysis as well as water level recognition. Based on the new reception architecture supported by the new post-processing scheme, the OFS network can distinguish 17 different water levels of the SFP at the Monitoring Station, which is >40 km away from the SFP, without using any active devices (such as optical amplifiers) at the remote places.

  • 16 Ch × 200 GHz DWDM-Passive Optical Fiber Sensor Network Based on a Power Measurement Method for Water-Level Monitoring of the Spent Fuel Pool in a Nuclear Power Plant
    'MDPI AG', 2021
    Co-Authors: Hoon-keun Lee, Jaeyul Choo, Joonyoung Kim
    Abstract:

    This paper presents a remote 16 Ch × 200 GHz dense wavelength division multiplexing (DWDM)-passive optical fiber sensor (OFS) network. We particularly investigate the remote water-level Monitoring capability of the OFS network based on an optical power measurement that features simplicity and a fast processing speed. The OFS network utilizes a seeded amplified spontaneous emission (ASE) light that is spectrum-sliced and distributed by an arrayed waveguide grating (AWG) towards multiple sensing units (SU), where each SU is installed at a different height in the water pool. Then, each SU reflects either of the two different optical powers according to the medium (air vs. water) back to the Monitoring Station. Therefore, the total received optical power at the Monitoring Station linearly changes according to the water level. We can simply recognize the water level by utilizing the optical power meter (OPM) at the Monitoring Station rather than the optical spectrum analyzer (OSA), which is bulky and expensive and requires a relatively long processing time. Consequently, we can reduce the system complexity, processing time, and cost (both installation and maintenance). However, the OPM-based OFS network requires a new methodology to derive the water level from the measured optical power. Thus, we come up with the reference-to-power ratio (RPR) analysis, which can be used for the maximum distance analysis as well as water level recognition. Based on the new reception architecture supported by the new post-processing scheme, the OFS network can distinguish 17 different water levels of the SFP at the Monitoring Station, which is >40 km away from the SFP, without using any active devices (such as optical amplifiers) at the remote places

Jorge Plagarcia - One of the best experts on this subject based on the ideXlab platform.

  • the meteorology of gale crater as determined from rover environmental Monitoring Station observations and numerical modeling part ii interpretation
    Icarus, 2016
    Co-Authors: Scot C R Rafkin, J Gomezelvira, Jorge Plagarcia, M A Kahre, Victoria E Hamilton, Mercedes Marin, Sara Navarro, J Torres, Ashwin R Vasavada
    Abstract:

    Abstract Numerical modeling results from the Mars Regional Atmospheric Modeling System are used to interpret the landed meteorological data from the Rover Environmental Monitoring Station onboard the Mars Science Laboratory rover Curiosity. In order to characterize seasonal changes throughout the Martian year, simulations are conducted at Ls 0, 90, 180 and 270. Two additional simulations at Ls 225 and 315 are explored to better understand the unique meteorological setting centered on Ls 270. The synergistic combination of model and observations reveals a complex meteorological environment within the crater. Seasonal planetary circulations, the thermal tide, slope flows along the topographic dichotomy, mesoscale waves, slope flows along the crater slopes and Mt. Sharp, and turbulent motions all interact in nonlinear ways to produce the observed weather. Ls 270 is shown to be an anomalous season when air within and outside the crater is well mixed by strong, flushing northerly flow and large amplitude, breaking mountain waves. At other seasons, the air in the crater is more isolated from the surrounding environment. The potential impact of the partially isolated crater air mass on the dust, water, noncondensable and methane cycles is also considered. In contrast to previous studies, the large amplitude diurnal pressure signal is attributed primarily to necessary hydrostatic adjustments associated with topography of different elevations, with contributions of less than 25% to the diurnal amplitude from the crater circulation itself. The crater circulation is shown to induce a suppressed boundary layer.

  • the meteorology of gale crater as determined from rover environmental Monitoring Station observations and numerical modeling part i comparison of model simulations with observations
    Icarus, 2016
    Co-Authors: J Gomezelvira, Scot C R Rafkin, Jorge Plagarcia, M A Kahre, Victoria E Hamilton, Mercedes Marin, Sara Navarro, J Torres, Ashwin R Vasavada
    Abstract:

    Abstract Air temperature, ground temperature, pressure, and wind speed and direction data obtained from the Rover Environmental Monitoring Station onboard the Mars Science Laboratory rover Curiosity are compared to data from the Mars Regional Atmospheric Modeling System. A full diurnal cycle at four different seasons (Ls 0, 90, 180 and 270) is investigated at the rover location within Gale crater, Mars. Model results are shown to be in good agreement with observations when considering the uncertainties in the observational data set. The good agreement provides justification for utilizing the model results to investigate the broader meteorological environment of the Gale crater region, which is described in the second, companion paper.