Dr. Joel Susskind Profile

Dr. Joel Susskind

Senior Scientist in the Lab for Atmospheres at NASA Goddard Space Flight Ctr

SPIE Involvement:

Author

Publications (35)

Proceedings Article | 19 October 2016 Presentation + Paper

Mistic winds, a microsatellite constellation approach to high-resolution observations of the atmosphere using infrared sounding and 3d winds measurements

K. Maschhoff, J. Polizotti, H. Aumann, J. Susskind

Proceedings Volume 10000, 100000L (2016) https://doi.org/10.1117/12.2241412

KEYWORDS: Sensors, Spatial resolution, Infrared radiation, Spectroscopy, Satellites, Troposphere, Staring arrays, Spectral calibration, Infrared spectroscopy, Spectral resolution

Read Abstract +

Proceedings Article | 19 September 2016 Presentation + Paper

MISTiC Winds: A micro-satellite constellation approach to high resolution observations of the atmosphere using infrared sounding and 3D winds measurements

K. Maschhoff, J. Polizotti, H. Aumann, J. Susskind

Proceedings Volume 9978, 997804 (2016) https://doi.org/10.1117/12.2239272

KEYWORDS: Infrared radiation, Satellites, Spatial resolution, Spectroscopy, Troposphere, Staring arrays, Spectral calibration, Infrared spectroscopy, Aerospace engineering, Sensors

Read Abstract +

Proceedings Article | 8 September 2015 Paper

Results from CrIS/ATMS obtained using an “AIRS Version-6 like” retrieval algorithm

Joel Susskind, Louis Kouvaris, Lena Iredell

Proceedings Volume 9607, 96070I (2015) https://doi.org/10.1117/12.2186836

KEYWORDS: Clouds, Climatology, Temperature metrology, Phase modulation, Skin, Ozone, Carbon dioxide, Spectral resolution, Calibration, Microwave radiation

Read Abstract +

Proceedings Article | 1 September 2015 Paper

Retrieved products from simulated hyperspectral observations of a hurricane

Joel Susskind, Louis Kouvaris, Lena Iredell, John Blaisdell, Thomas Pagano, William Mathews

Proceedings Volume 9611, 96110B (2015) https://doi.org/10.1117/12.2186835

KEYWORDS: Clouds, Spatial resolution, Humidity, Temperature metrology, Satellites, Error analysis, Data modeling, Atmospheric modeling, Hyperspectral simulation, Instrument modeling

Read Abstract +

SPIE Journal Paper | 31 March 2014 Open Access

Improved methodology for surface and atmospheric soundings, error estimates, and quality control procedures: the atmospheric infrared sounder science team version-6 retrieval algorithm

Joel Susskind, John Blaisdell, Lena Iredell

JARS, Vol. 8, Issue 01, 084994, (March 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.084994

KEYWORDS: Clouds, Error analysis, Adaptive optics, Temperature metrology, Skin, Climatology, Atmospheric sensing, Shortwaves, Atmospheric sciences, Solar radiation

Read Abstract +

DOWNLOAD PAPER

Proceedings Article | 23 September 2013 Paper

Requirements for a Moderate-resolution Infrared Imaging Sounder (MIRIS)

Thomas Pagano, Hartmut Aumann, Andrew Gerber, Le Kuai, I. Gontijo, Berta DeLeon, Joel Susskind, Lena Iredell, Shyam Bajpai

Proceedings Volume 8870, 887007 (2013) https://doi.org/10.1117/12.2023813

KEYWORDS: Infrared imaging, Spatial resolution, Infrared radiation, Spectroscopy, Spectral resolution, Clouds, Imaging systems, Long wavelength infrared, Mid-IR, MODIS

Read Abstract +

Proceedings Article | 23 September 2013 Paper

Results from CrIS/ATMS obtained using the AIRS Science Team retrieval methodology

Joel Susskind, Louis Kouvaris, Lena Iredell

Proceedings Volume 8866, 88660W (2013) https://doi.org/10.1117/12.2023375

KEYWORDS: Climatology, Temperature metrology, Skin, Clouds, Algorithm development, Microwave radiation, Satellites, Spectral resolution, Shortwaves, Error analysis

Read Abstract +

AIRS was launched on EOS Aqua in May 2002, together with AMSU-A and HSB (which subsequently failed early in the mission), to form a next generation polar orbiting infrared and microwave atmospheric sounding system. AIRS/AMSU had two primary objectives. The first objective was to provide real-time data products available for use by the operational Numerical Weather Prediction Centers in a data assimilation mode to improve the skill of their subsequent forecasts. The second objective was to provide accurate unbiased sounding products with good spatial coverage that are used to generate stable multi-year climate data sets to study the earth’s interannual variability, climate processes, and possibly long-term trends. AIRS/AMSU data for all time periods are now being processed using the state of the art AIRS Science Team Version-6 retrieval methodology. The Suomi-NPP mission was launched in October 2011 as part of a sequence of Low Earth Orbiting satellite missions under the “Joint Polar Satellite System” (JPSS). NPP carries CrIS and ATMS, which are advanced infra-red and microwave atmospheric sounders that were designed as follow-ons to the AIRS and AMSU instruments. The main objective of this work is to assess whether CrIS/ATMS will be an adequate replacement for AIRS/AMSU from the perspective of the generation of accurate and consistent long term climate data records, or if improved instruments should be developed for future flight. It is critical for CrIS/ATMS to be processed using an algorithm similar to, or at least comparable to, AIRS Version-6 before such an assessment can be made. We have been conducting research to optimize products derived from CrIS/ATMS observations using a scientific approach analogous to the AIRS Version-6 retrieval algorithm. Our latest research uses Version-5.70 of the CrIS/ATMS retrieval algorithm, which is otherwise analogous to AIRS Version-6, but does not yet contain the benefit of use of a Neural-Net first guess start-up system which significantly improved results of AIRS Version-6. Version-5.70 CrIS/ATMS temperature profile and surface skin temperature retrievals are of very good quality, and are better than AIRS Version-5 retrievals, but are still significantly poorer than those of AIRS Version-6. CrIS/ATMS retrievals should improve when a Neural-Net start-up system is ready for use. We also examined CrIS/ATMS retrievals generated by NOAA using their NUCAPS retrieval algorithm, which is based on earlier versions of the AIRS Science Team retrieval algorithms. We show that the NUCAPS algorithm as currently configured is not well suited for climate monitoring purposes.

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

Read Abstract +

Proceedings Article | 15 October 2012 Paper

Significant advances in the AIRS Science Team Version-6 retrieval algorithm

Joel Susskind, John Blaisdell, Lena Iredell

Proceedings Volume 8510, 85100U (2012) https://doi.org/10.1117/12.929953

KEYWORDS: Climatology, Clouds, Temperature metrology, Skin, Adaptive optics, Error analysis, Shortwaves, Algorithm development, Atmospheric physics, Reflectivity

Read Abstract +

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

Read Abstract +

Proceedings Article | 14 September 2011 Paper

Improved surface and tropospheric temperatures determined using only shortwave channels: the AIRS Science Team Version-6 retrieval algorithm

Joel Susskind, John Blaisdell, Lena Iredell

Proceedings Volume 8153, 815306 (2011) https://doi.org/10.1117/12.893558

KEYWORDS: Clouds, Shortwaves, Skin, Temperature metrology, Climatology, Error analysis, Adaptive optics, Carbon dioxide, Absorption, Satellites

Read Abstract +

Proceedings Article | 2 September 2009 Paper

Improving forecast skill by assimilation of quality controlled AIRS Version 5 temperature soundings

Joel Susskind, Oreste Reale

Proceedings Volume 7453, 74530G (2009) https://doi.org/10.1117/12.831215

KEYWORDS: Clouds, Error analysis, Temperature metrology, Climatology, Data modeling, Algorithms, Data processing, Space operations, Data centers, Physics

Read Abstract +

Proceedings Article | 2 September 2009 Paper

Improved determination of surface and atmospheric temperatures using only shortwave AIRS channels

Joel Susskind, John Blaisdell, Lena Iredell

Proceedings Volume 7453, 74530F (2009) https://doi.org/10.1117/12.831214

KEYWORDS: Clouds, Shortwaves, Carbon dioxide, Skin, Temperature metrology, Absorption, Reflectivity, Solar radiation, Error analysis, Stars

Read Abstract +

AIRS was launched on EOS Aqua on May 4, 2002, together with AMSU-A and HSB, to form a next generation polar orbiting infrared and microwave atmospheric sounding system. AIRS is a grating spectrometer with a number of linear arrays of detectors with each detector sensitive to outgoing radiation in a characteristic frequency υ_i with a spectral band pass Δυ_i of roughly υ_i/1200 AIRS contains 2378 spectral channels covering portions of the spectral region 650 cm^-1 (15.38 μm) - 2665 cm^-1 (3.752 μm). These spectral regions contain significant absorption features from two CO₂ absorption bands, the 15 μm (longwave) CO₂ band, and the 4.3 μm (shortwave) CO₂ absorption band. There are also two atmospheric window regions, the 12 μm - 8 μm (longwave) window, and the 4.17 μm - 3.75 μm (shortwave) window. Historically, determination of surface and atmospheric temperatures from satellite observations was performed using primarily observations in the longwave window and CO₂ absorption regions. One reason for this was concerns about the effects, during the day, of reflected sunlight and non-Local Thermodynamic Equilibrium (non-LTE) on the observed radiances in the shortwave portion of the spectrum. According to cloud clearing theory, more accurate soundings of both surface skin and atmospheric temperatures can be obtained under partial cloud cover conditions if one uses the longwave channels to determine cloud cleared radiances R_i for all channels, and uses R_i only from shortwave channels in the determination of surface and atmospheric temperatures. This procedure is now being used by the AIRS Science Team in preparation for the AIRS Version 6 Retrieval Algorithm. This paper describes how the effects on the radiances of solar radiation reflected by clouds and the Earth's surface, and also of non-LTE, are accounted for in the analysis of the data. Results are presented for both daytime and nighttime conditions showing improved surface and atmospheric soundings under partial cloud cover resulted from not using R_i in the retrieval process for any longwave channels sensitive to cloud effects. This improvement is made possible because AIRS NEDT in the shortwave portion of the spectrum is extremely low.

Proceedings Article | 8 December 2008 Paper

Requirements for an Advanced Low Earth Orbit (LEO) Sounder (ALS) for improved regional weather prediction and monitoring of greenhouse gases

Thomas Pagano, Moustafa Chahine, Joel Susskind

Proceedings Volume 7152, 71520E (2008) https://doi.org/10.1117/12.804908

KEYWORDS: Clouds, Atmospheric modeling, MODIS, Spatial resolution, Gases, Climatology, Infrared radiation, Yield improvement, Data modeling, Troposphere

Read Abstract +

Proceedings Article | 5 May 2008 Paper

Improved surface parameter retrievals using AIRS/AMSU data

Joel Susskind, John Blaisdell

Proceedings Volume 6966, 696610 (2008) https://doi.org/10.1117/12.774759

KEYWORDS: Clouds, Shortwaves, Temperature metrology, Skin, Phase modulation, Algorithm development, Carbon dioxide, Algorithms, Reflectivity, Absorption

Read Abstract +

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

Read Abstract +

Proceedings Article | 24 September 2007 Paper

Improved atmospheric soundings and error estimates from analysis of AIRS/AMSU data

Joel Susskind

Proceedings Volume 6684, 66840M (2007) https://doi.org/10.1117/12.734336

KEYWORDS: Clouds, Error analysis, Adaptive optics, Algorithm development, Algorithms, Control systems, Statistical analysis, Data processing, Shortwaves, Climatology

Read Abstract +

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

Read Abstract +

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 | 7 May 2007 Paper

Recent theoretical advances in analysis of AIRS/AMSU sounding data

Joel Susskind

Proceedings Volume 6565, 65651H (2007) https://doi.org/10.1117/12.718448

KEYWORDS: Clouds, Error analysis, Adaptive optics, Skin, Algorithm development, Temperature metrology, Algorithms, Shortwaves, Microwave radiation, Radiative transfer

Read Abstract +

Proceedings Article | 8 December 2006 Paper

Version 5 product improvements from the atmospheric infrared sounder (AIRS)

Thomas Pagano, Hartmut Aumann, Moustafa Chahine, Evan Manning, Steve Friedman, Steven Broberg, Stephen Licata, Denis Elliott, Fredrick Irion, Brian Kahn, Evan Fishbein, Edward Olsen, Stephanie Granger, Joel Susskind, Fricky Keita, John Blaisdell, Larrabee Strow, Sergio DeSouza-Machado, Chris Barnet

Proceedings Volume 6408, 640808 (2006) https://doi.org/10.1117/12.696561

KEYWORDS: Clouds, Infrared radiation, Ozone, Carbon monoxide, Yield improvement, Microwave radiation, Climatology, Error analysis, Methane, Calibration

Read Abstract +

Proceedings Article | 12 October 2006 Paper

Climate research with the atmospheric infared sounder

Thomas Pagano, Moustafa Chahine, Hartmut Aumann, Baijun Tian, Sung-Yung Lee, Edward Olsen, Bjorn Lambrigtsen, Eric Fetzer, F. Irion, Xiouhua Fu, Wallace McMillan, Larrabee Strow, Chris Barnet, Mitch Goldberg, Joel Susskind, John Blaisdell

Proceedings Volume 6362, 63621K (2006) https://doi.org/10.1117/12.689148

KEYWORDS: Climatology, Carbon monoxide, Infrared radiation, Clouds, Calibration, Troposphere, Gases, Climate change, Data modeling, Convection

Read Abstract +

Proceedings Article | 1 September 2006 Paper

Improved AIRS soundings and error estimates with AIRS only cloud clearing

Joel Susskind, Fricky Keita

Proceedings Volume 6300, 630007 (2006) https://doi.org/10.1117/12.679559

KEYWORDS: Clouds, Error analysis, Skin, Temperature metrology, Medium wave, Algorithms, Microwave radiation, Algorithm development, Shortwaves, Infrared radiation

Read Abstract +

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

Read Abstract +

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 | 4 May 2006 Paper

Contribution of the AIRS shortwave sounding channels to retrieval accuracy

Joel Susskind, Louis Kouvaris

Proceedings Volume 6233, 62331A (2006) https://doi.org/10.1117/12.665061

KEYWORDS: Clouds, Troposphere, Shortwaves, Absorption, Stratosphere, Solar radiation, Satellites, Carbon monoxide, Ozone, Microwave radiation

Read Abstract +

Proceedings Article | 4 May 2006 Paper

Improved soundings and error estimates using AIRS/AMSU data

Joel Susskind

Proceedings Volume 6233, 623319 (2006) https://doi.org/10.1117/12.665018

KEYWORDS: Error analysis, Clouds, Skin, Temperature metrology, Algorithms, Absorption, Standards development, Data analysis, Microwave radiation, Medium wave

Read Abstract +

Proceedings Article | 29 August 2005 Paper

Standard and research products from the AIRS and AMSU on the EOS Aqua spacecraft

Thomas Pagano, Moustafa Chahine, Hartmut Aumann, Bjorn Lambrigtsen, Eric Fetzer, Frederick Irion, Edward Olsen, Stephanie Granger, Sung-Yung Lee, Thomas Hearty, Vince Realmuto, Michael Gunson, L. Larrabee Strow, Wallace McMillan, Joel Susskind

Proceedings Volume 5890, 58900R (2005) https://doi.org/10.1117/12.616245

KEYWORDS: Infrared radiation, Carbon monoxide, Clouds, Infrared imaging, Gases, Climatology, Space operations, Atmospheric sciences, Earth's atmosphere, Spectral resolution

Read Abstract +

Proceedings Article | 1 June 2005 Paper

Atmospheric soundings from AIRS/AMSU in partial cloud cover

Joel Susskind, Robert Atlas

Proceedings Volume 5806, (2005) https://doi.org/10.1117/12.602546

KEYWORDS: Clouds, Temperature metrology, Skin, Algorithm development, Microwave radiation, Error analysis, Analytical research, Remote sensing, Spectral resolution, Climatology

Read Abstract +

Simultaneous use of AIRS/AMSU-A observations allow for the determination of accurate atmospheric soundings under partial cloud cover conditions. The methodology involves the determination of the radiances AIRS would have seen if the AIRS fields of view were clear, called clear column radiances, and use of these radiances to infer the atmospheric and surface conditions giving rise to these clear column radiances. Susskind et al. demonstrate via simulation that accurate temperature soundings and clear column radiances can be derived from AIRS/AMSU-A observations in cases of up to 80% partial cloud cover, with only a small degradation in accuracy compared to that obtained in clear scenes. Susskind and Atlas show that these findings hold for real AIRS/AMSU-A soundings as well. For data assimilation purposes, this small degradation in accuracy is more than offset by a significant increase in spatial coverage (roughly 50% of global cases were accepted, compared to 3.6% of the global cases being diagnosed as clear), and assimilation of AIRS temperature soundings in partially cloudy conditions resulted in a larger improvement in forecast skill than when AIRS soundings were assimilated only under clear conditions. Alternatively, derived AIRS clear column radiances under partial cloud cover could also be used for data assimilation purposes. Further improvements in AIRS sounding methodology have been made since the results shown in Susskind and Atlas. A new version of the AIRS/AMSU-A retrieval algorithm, Version 4.0, was delivered to the Goddard DAAC in February 2005 for production of AIRS derived products, including clear column radiances. The major improvement in the Version 4.0 retrieval algorithm is with regard to a more flexible, parameter dependent, quality control. Results are shown of the accuracy and spatial distribution of temperature-moisture profiles and clear column radiances derived from AIRS/AMSU-A as a function of fractional cloud cover using the Version 4.0 algorithm. Use of the Version 4.0 AIRS temperature profiles increased the positive forecast impact arising from AIRS retrievals relative to what was shown in Susskind and Atlas.

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

Read Abstract +

Proceedings Article | 5 January 2005 Paper

Weather and climate research with AIRS/AMSU

Joel Susskind

Proceedings Volume 5658, (2005) https://doi.org/10.1117/12.578979

KEYWORDS: Clouds, Temperature metrology, Climatology, Skin, Microwave radiation, Analytical research, Ozone, Stratosphere, Infrared radiation, Remote sensing

Read Abstract +

Proceedings Article | 22 December 2004 Paper

Geostationary microwave sounder requirements

Donald Chu, Norman Grody, Michael Madden, Joel Susskind, William Blackwell

Proceedings Volume 5654, (2004) https://doi.org/10.1117/12.579020

KEYWORDS: Microwave radiation, Radiometry, Antennas, Clouds, Temperature metrology, Satellites, Humidity, Infrared radiation, Liquids, Oxygen

Read Abstract +

Proceedings Article | 4 November 2004 Paper

GEO sounding using microwave instruments

Sergey Krimchansky, Joel Susskind, Alexander Krimchansky, Donald Chu, Robert Lambeck, Martin Davis

Proceedings Volume 5570, (2004) https://doi.org/10.1117/12.565283

KEYWORDS: Microwave radiation, Clouds, Antennas, Receivers, Signal processing, Satellites, Space operations, Video processing, Calibration, Knowledge management

Read Abstract +

There are several microwave instruments in low Earth orbit (LEO) that are used for atmospheric temperature and humidity sounding by themselves and in conjunction with companion IR sounders. These instruments have achieved a certain degree of maturity and are undergoing a redesign to minimize their size, mass, and power requirements from the previous generation instruments. An example of these instruments is the AMSU-A series, now flying on POES and Aqua spacecraft, with the IR sounders HIRS3 and AIRS respectively. These older microwave instruments are going to be replaced by the ATMS instruments that will fly on NPP and NPOESS satellites with the CrIS IR sounder. A number of enabling technologies acquired from the ATMS instrument hardware design and data processing are directly applicable to performing similar microwave sounding on a geostationary platform. Because these technologies are already in place, they are readily available for the development of a geostationary orbit (GEO) microwave instrument, thereby avoiding costly technology development and minimizing the risk of not achieving the scientific requirements. In fact, the MMIC microwave components that were developed by ATMS for size and volume reduction are directly applicable to a GEO microwave sounder. The benefits of microwave sounders are well known. They penetrate non-precipitating cloud cover and allow for accurate soundings obtained with a collocated high spectral resolution IR sounder in up to 80% cloud cover. The key advantages of a microwave instrument in GEO will be its ability to provide high temporal resolution and uniform spatial resolution, and it will expand the utility of a collocated advanced IR sounder to cases in which partial cloud cover exists. A footprint in the order of 100 km by 100 km resolution with hemispherical coverage within one hour can be easily achieved for sounding channels in the 50 to 57 GHz range. A GEO microwave sounder will also allow mesoscale sampling of select regions.

Proceedings Article | 12 August 2004 Paper

Atmospheric soundings from AIRS/AMSU/HSB

Joel Susskind, Robert Atlas

Proceedings Volume 5425, (2004) https://doi.org/10.1117/12.541324

KEYWORDS: Clouds, Temperature metrology, Microwave radiation, Skin, Data modeling, Ozone, Physics, Infrared radiation, Spectral resolution, Knowledge management

Read Abstract +

Proceedings Article | 10 November 2003 Paper

Early results from AIRS/AMSU/HSB

Joel Susskind, Christopher Barnet, John Blaisdell, Lena Iredell, Fricky Keita, Louis Kouvaris

Proceedings Volume 5151, (2003) https://doi.org/10.1117/12.506316

KEYWORDS: Clouds, Microwave radiation, Temperature metrology, Skin, Absorption, Ozone, Satellites, Troposphere, Infrared radiation, Radiative transfer

Read Abstract +

Proceedings Article | 31 January 1995 Paper

Quantifying desert-fringe vegetation changes from satellite observations by inverting plant-element models

Joseph Otterman, Joel Susskind, Ghassem Asrar, Thomas Brakke, Donald Strebel

Proceedings Volume 2314, (1995) https://doi.org/10.1117/12.200747

KEYWORDS: Optical spheres, Reflectivity, Laser sintering, Satellites, Vegetation, Infrared radiation, Reflection, Prisms, Animal model studies, Earth observing sensors

Read Abstract +

Proceedings Article | 31 January 1995 Paper

Assessing climate interannual variability from NOAA sounders: preliminary comparisons of 1988 versus 1987

Joel Susskind, Joseph Otterman, Laurie Rokke, P. Piraino, Lena Iredell

Proceedings Volume 2314, (1995) https://doi.org/10.1117/12.200749

KEYWORDS: Satellites, Clouds, Climatology, Skin, Temperature metrology, Earth's atmosphere, Microwave radiation, Remote sensing, Spatial resolution, Meteorology

Read Abstract +

Showing 5 of 35 publications

Conference Committee Involvement (7)

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI

5 April 2010 | Orlando, Florida, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV

13 April 2009 | Orlando, Florida, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV

17 March 2008 | Orlando, Florida, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII

9 April 2007 | Orlando, Florida, United States

Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII

17 April 2006 | Orlando (Kissimmee), Florida, United States

Showing 5 of 7 Conference Committees

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years