Dr. Gyula Istvan Molnar Profile

Dr. Gyula Istvan Molnar

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Publications (7)

Proceedings Article | 24 October 2012 Paper

Recent advances in improvement of forecast skill and understanding climate processes using AIRS Version-5 products

Joel Susskind, Gyula Molnar, Lena Iredell, Robert Rosenberg

Proceedings Volume 8511, 85110Q (2012) https://doi.org/10.1117/12.930998

KEYWORDS: Electroluminescence, Clouds, Climatology, Temperature metrology, Data centers, Error analysis, Skin, Humidity, Algorithm development, Infrared radiation

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Proceedings Article | 17 September 2011 Paper

Contributions to climate research using the AIRS Science Team version-5 products

Joel Susskind, Gyula Molnar, Lena Iredell

Proceedings Volume 8154, 81540P (2011) https://doi.org/10.1117/12.893576

KEYWORDS: Electroluminescence, Clouds, Humidity, Skin, Temperature metrology, Lanthanum, Climatology, Convection, Satellites, Phase modulation

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Proceedings Article | 5 May 2008 Paper

Atmospheric parameter climatologies from AIRS: monitoring short- and longer term climate variabilities and trends

Gyula Molnar, Joel Susskind

Proceedings Volume 6966, 696612 (2008) https://doi.org/10.1117/12.775446

KEYWORDS: Climatology, Clouds, Satellites, Humidity, Environmental sensing, Temperature metrology, Skin, Atmospheric modeling, Atmospheric monitoring, Radiative transfer

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Proceedings Article | 16 May 2007 Paper

Utility of AIRS retrievals for climate studies

Gyula Molnar, Joel Susskind

Proceedings Volume 6565, 65651I (2007) https://doi.org/10.1117/12.718466

KEYWORDS: Climatology, Temperature metrology, Skin, Satellites, Clouds, Environmental sensing, Humidity, Atmospheric physics, Microwave radiation, Climate change

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Satellites provide an ideal platform to study the Earth-atmosphere system on practically all spatial and temporal scales. Thus, one may expect that their rapidly growing datasets could provide crucial insights not only for short-term weather processes/predictions but into ongoing and future climate change processes as well. Though Earth-observing satellites have been around for decades, extracting climatically reliable information from their widely varying datasets faces rather formidable challenges. AIRS/AMSU is a state of the art infrared/microwave sounding system that was launched on the EOS Aqua platform on May 4, 2002, and has been providing operational quality measurements since September 2002. In addition to temperature and atmospheric constituent profiles, outgoing longwave radiation [OLR] and basic cloud parameters are also derived from the AIRS/AMSU observations. However, so far the AIRS products have not been rigorously evaluated/validated on a large scale. Here we present preliminary assessments of climatically important "Level3" (monthly and 8-day means, 1° x 1° gridded) AIRS "Version 4.0" retrieved products (available to the public through the DAAC at NASA/GSFC) to assess their utility for climate studies. Though the current AIRS climatology covers only ~4.5 years, it will hopefully extend much further into the future. First we present "consistency checks" by evaluating the ~4.5-yr long time series of global and tropical means, as well as grid-scale variability and "anomalies" (relative to the first full years worth of AIRS "climate statistics" of several climatically important retrieved parameters). Finally, we also present preliminary results regarding interrelationships of some of these geophysical variables, to assess to what extent they are consistent with the known physics of climate variability/change. In particular, we find at least one observed relationship which contradicts current general circulation climate (GCM) model results: the global water vapor climate feedback which is expected to be strongly positive is deduced to be slightly negative (shades of the "Lindzen effect"?).

Proceedings Article | 4 May 2006 Paper

Satellite sounder-based OLR, cloud, and atmospheric temperature climatologies for climate analyses

Gyula Molnar, Joel Susskind

Proceedings Volume 6233, 62331D (2006) https://doi.org/10.1117/12.665046

KEYWORDS: Clouds, Climatology, Satellites, Climate change, MODIS, Temperature metrology, Earth's atmosphere, Infrared radiation, Environmental sensing, Spectral resolution

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Global energy balance of the Earth-atmosphere system may change due to natural and man-made climate variations. For example, changes in the outgoing longwave radiation (OLR) can be regarded as a crucial indicator of climate variations. Clouds play an important role -still insufficiently assessed- in the global energy balance on all spatial and temporal scales, and satellites provide an ideal platform to measure cloud and largescale atmospheric variables simultaneously. The TOVS series of satellites were the first to provide this type of information since 1979. OLR [Mehta and Susskind¹], cloud cover and cloud top pressure [Susskind et al.²] are among the key climatic parameters computed by the TOVS Pathfinder Path-A algorithm using mainly the retrieved temperature and moisture profiles. AIRS, regarded as the 'new and improved TOVS', has a much higher spectral resolution and greater S/N ratio, retrieving climatic parameters with higher accuracy. First we present encouraging agreements between MODIS and AIRS cloud top pressure (C_tp) and 'effective' (A_eff, a product of infrared emissivity at 11 μm and physical cloud cover or A_c) cloud fraction seasonal and interannual variabilities for selected months. Next we present validation efforts and preliminary trend analyses of TOVS-retrieved C_tp and A_eff. For example, decadal global trends of the TOVS Path-A and ISCCP-D2 P_c and A_eff/A_c values are similar. Furthermore, the TOVS Path-A and ISCCP-AVHRR [available since 1983] cloud fractions correlate even more strongly, including regional trends. We also present TOVS and AIRS OLR validation effort results and (for the longer-term TOVS Pathfinder Path-A dataset) trend analyses. OLR interannual spatial variabilities from the available state-of-the-art CERES measurements and both from the AIRS [Susskind et al.³,⁴] and TOVS OLR computations are in remarkably good agreement. Global monthly mean CERES and TOVS OLR time series show very good agreement in absolute values also. Finally, we will assess correlations among long-term trends of selected parameters, derived simultaneously from the TOVS Pathfinder Path-A dataset.

Proceedings Article | 1 June 2005 Paper

Validation of AIRS/AMSU cloud retrievals using MODIS cloud analyses

Gyula Molnar, Joel Susskind

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.603706

KEYWORDS: Clouds, MODIS, Satellites, Climatology, Infrared radiation, Climate change, Infrared imaging, Ocean optics, Spatial resolution, Satellite imaging

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Proceedings Article | 18 October 1996 Paper

Variability of marine stratiform clouds derived from GOES-8 imagery

Gyula Molnar, Dennis Chesters

Proceedings Volume 2812, (1996) https://doi.org/10.1117/12.254132

KEYWORDS: Clouds, Satellites, Ocean optics, Climatology, Calibration, Reflectivity, Visible radiation, Water, Optical resolution, Infrared radiation

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