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  • Meteorology and Climatology  (5)
  • ELECTRONIC EQUIPMENT
  • Earth Resources and Remote Sensing
  • MECHANICAL ENGINEERING
  • 2000-2004  (5)
  • 1
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    In:  CASI
    Publication Date: 2018-06-05
    Description: SHDOM is a general purpose, publicly available, three-dimensional atmospheric radiative transfer model. SHDOM is an explicit method, which means it solves for the whole radiation field, as distinct from Monte Carlo methods which solve for particular radiative outputs. SHDOM is particularly well suited for remote sensing applications, where it can compute outgoing radiances at many angles from a cloud field at virtually no extra cost. SHDOM is not appropriate for calculating domain average quantities for which Monte Carlo methods excel. The I3RC intercomparison offers an opportunity to explore the pros and cons of SHDOM and Monte Carlo models on some real world inhomogeneous cloud fields. Specifically, we wish to determine the computer resources required to achieve a particular accuracy for a certain number of outputs using SHDOM and Monte Carlo models. This will help guide modelers on the appropriate choice of SHDOM or Monte Carlo for their applications. To emphasize the importance of this accuracy versus CPU time tradeoff, we are submitting two SHDOM entries (low and high resolution) in the I3RC.
    Keywords: Meteorology and Climatology
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  • 2
    Publication Date: 2018-06-05
    Description: The Students' Cloud Observations On-Line (S'COOL) Project involved students in K-16 as ground truth observers for a NASA Earth-Observing satellite instrument. The Clouds and Earth's Radiant Energy System (CERES) instrument allows scientists to study the Earth's energy budget and how clouds affect it. Student reports of cloud conditions help scientists verify their algorithms and allow students to be involved in obtaining and analyzing real scientific data. The presentation contains 23 slides.
    Keywords: Meteorology and Climatology
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  • 3
    Publication Date: 2019-07-13
    Description: New data products are available from the CERES instrument, a part of the NASA Earth Observing System. The Single Scanner Footprint (SSF) product combines radiative fluxes with extensive information on the cloud conditions in the footprint, which are retrieved using the co-orbiting imager instrument. These data have been analyzed to more accurately define the radiative properties for the various regions of the recently-proposed adaptive infrared Iris. A variety of ways of defining the cloudy moist region were examined. According to CERES, the net radiative flux for the cloudy moist region ranges between 28 and 54 W/m2 depending on the specific definition used. This is in contrast to the value of 123 W/m2 which was somewhat subjectively assigned by LCH. This simple model may miss many feedbacks in the climate system, but it should provide a rough range of the climate variations if the physics of the Iris is correct. There is some question whether the change in cloudy moist area with cloud-weighted SST actually represents a useful quantity, and whether extrapolating it from a regional variation to a global response to warmer climate is appropriate. Regardless, the current results show that the proposed Iris feedback is very much weaker when objectively-determined radiative properties are used in the model.
    Keywords: Meteorology and Climatology
    Type: 11th Conference on Atmospheric Radiation; Jun 03, 2002 - Jun 07, 2002; Ogden, UT; United States
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  • 4
    Publication Date: 2019-07-13
    Description: The Students' Cloud Observations On-Line (S'COOL) Project was initiated in 1997 to obtain student observations of clouds coinciding with the overpass of the Clouds and the Earth's Radiant Energy System (CERES) instruments on NASA's Earth Observing System satellites. Over the past seven years we have accumulated more than 9,000 cases worldwide where student observations are available within 15 minutes of a CERES observation. This paper reports on comparisons between the student and satellite data as one facet of the validation of the CERES cloud retrievals. Available comparisons include cloud cover, cloud height, cloud layering, and cloud visual opacity. The large volume of comparisons allows some assessment of the impact of surface cover, such as snow and ice, reported by the students. The S'COOL observation database, accessible via the Internet at http://scool.larc.nasa.gov, contains over 32,000 student observations and is growing by over 700 observations each month. Some of these observations may be useful for assessment of other satellite cloud products. In particular, some observing sites have been making hourly observations of clouds during the school day to learn about the diurnal cycle of cloudiness.
    Keywords: Meteorology and Climatology
    Type: Paper 6.2 , 13th Conference on Satellite Meteorology and Oceanography; Sep 20, 2004 - Sep 24, 2004; Norfolk, VA; United States
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  • 5
    Publication Date: 2019-07-13
    Description: In an effort to bridge the gap between scientific research, teacher instruction and student learning, the CERES Students Cloud Observations On-Line (S'COOL) Project offers a unique perspective on how to narrow the divide between the real world and the classroom. Reality-based learning has become a staple in the education of our youth and the S'COOL Project has taken this concept one step further.
    Keywords: Meteorology and Climatology
    Type: IGARSS 2004; Sep 20, 2004 - Sep 24, 2004; Anchorage, AK; United States
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