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  • 1
    Publication Date: 2017-08-01
    Description: Surface wind speed retrievals have been generated and evaluated using Hurricane Imaging Radiometer (HIRAD) measurements from flights over Hurricane Joaquin, Hurricane Patricia, Hurricane Marty, and the remnants of Tropical Storm Erika—all in 2015. Procedures are described here for producing maps of brightness temperature, which are subsequently used for retrievals of surface wind speed and rain rate across a ~50-km-wide swath for each flight leg. An iterative retrieval approach has been developed to take advantage of HIRAD’s measurement characteristics. Validation of the wind speed retrievals has been conducted, using 636 dropsondes released from the same WB-57 high-altitude aircraft carrying HIRAD during the Tropical Cyclone Intensity (TCI) experiment. The HIRAD wind speed retrievals exhibit very small bias relative to the dropsondes, for winds of tropical storm strength (17.5 m s−1) or greater. HIRAD has reduced sensitivity to winds weaker than tropical storm strength and a small positive bias (~2 m s−1). Two flights with predominantly weak winds according to the dropsondes have abnormally large errors from HIRAD and large positive biases. From the other flights, the root-mean-square differences between HIRAD and the dropsonde winds are 4.1 m s−1 (33%) for winds below tropical storm strength, 5.6 m s−1 (25%) for tropical storm–strength winds, and 6.3 m s−1 (16%) for hurricane-strength winds. The mean absolute differences for those three categories are 3.2 m s−1 (25%), 4.3 m s−1 (19%), and 4.8 m s−1 (12%), respectively, with a bias near zero for winds of tropical storm and hurricane strength.
    Print ISSN: 0739-0572
    Electronic ISSN: 1520-0426
    Topics: Geography , Geosciences , Physics
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  • 2
    Publication Date: 2017-11-01
    Print ISSN: 1545-598X
    Electronic ISSN: 1558-0571
    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
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  • 3
    Publication Date: 2019-07-19
    Description: The Hurricane Imaging Radiometer (HIRAD) is an experimental C-band passive microwave radiometer designed to map the horizontal structure of surface wind speed fields in hurricanes. New data processing and customized retrieval approaches were developed after the 2015 Tropical Cyclone Intensity (TCI) experiment, which featured flights over Hurricanes Patricia, Joaquin, Marty, and the remnants of Tropical Storm Erika. These new approaches produced maps of surface wind speed that looked more realistic than those from previous campaigns. Dropsondes from the High Definition Sounding System (HDSS) that was flown with HIRAD on a WB-57 high altitude aircraft in TCI were used to assess the quality of the HIRAD wind speed retrievals. The root mean square difference between HIRAD-retrieved surface wind speeds and dropsonde-estimated surface wind speeds was 6.0 meters per second. The largest differences between HIRAD and dropsonde winds were from data points where storm motion during dropsonde descent compromised the validity of the comparisons. Accounting for this and for uncertainty in the dropsonde measurements themselves, we estimate the root mean square error for the HIRAD retrievals as around 4.7 meters per second. Prior to the 2015 TCI experiment, HIRAD had previously flown on the WB-57 for missions across Hurricanes Gonzalo (2014), Earl (2010), and Karl (2010). Configuration of the instrument was not identical to the 2015 flights, but the methods devised after the 2015 flights may be applied to that previous data in an attempt to improve retrievals from those cases.
    Keywords: Meteorology and Climatology
    Type: MSFC-E-DAA-TN48243 , Conference on Hurricanes and Tropical Meteorology; Apr 16, 2018 - Apr 20, 2018; Ponte Vedra, FL; United States
    Format: application/pdf
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  • 4
    Publication Date: 2019-07-13
    Description: The performance characteristic of a digital correlation radiometer signal processing back end (DBE) is analyzed using a simulator. The particular design studied here corresponds to the airborne Hurricane Imaging radiometer which was jointly developed by the NASA Marshall Space Flight Center, University of Michigan, University of Central Florida and NOAA. Laboratory and flight test data is found to be in accord with the simulation results. Overall design seems to be optimum for the typical input signal dynamic range. It was found that the performance of the digital kurtosis could be improved by lowering the DBE input power level. An unusual scaling between digital correlation channels observed in the instrument data is confirmed to be a DBE characteristic.
    Keywords: Meteorology and Climatology; Computer Programming and Software
    Type: MSFC-E-DAA-TN38568 , 2017 IEEE International Geoscience and Remote Sensing Symposium; Jul 23, 2017 - Jul 28, 2017; Forth Worth, TX; United States
    Format: application/pdf
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  • 5
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Geosciences (General)
    Type: MSFC-E-DAA-TN43388 , International Geoscience and Remote Sensing Symposium (IGARSS); Jul 23, 2017 - Jul 28, 2017; Fort Worth, TX; United States
    Format: application/pdf
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  • 6
    Publication Date: 2019-07-13
    Description: Performance of a radiometer DBE is analyzed. The particular design corresponds to the DBE of the airborne Hurricane Imaging Radiometer. A computer simulator is developed to analyze effect of input power on various DBE output products. 2nd moment non-linearity is found to be negligible in the expected input signal dynamic range. Observed scaling between I and Q channels and the scaling among cross-correlation signals are verified by the simulator. Kurtosis sensitivity can be improved by lowering the input power - predicted by the simulator and verified in the lab.
    Keywords: Geosciences (General)
    Type: MSFC-E-DAA-TN44121 , International Geoscience and Remote Sensing Symposium (IGARSS); Jul 23, 2018 - Jul 28, 2018; Forth Worth, TX; United States
    Format: application/pdf
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  • 7
    Publication Date: 2019-08-13
    Description: No abstract available
    Keywords: Meteorology and Climatology
    Type: MSFC-E-DAA-TN22662 , HS3 / HSRP Science Team Meeting; May 06, 2015; Mountain View, CA; United States
    Format: application/pdf
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  • 8
    Publication Date: 2019-07-13
    Description: Purpose of this talk is to give an overview of the HIRAD "catalog" of data available for analysis.
    Keywords: Meteorology and Climatology
    Type: MSFC-E-DAA-TN33174 , Workshop on "Integrating Satellite Observations and Airborne Data with Model Forecast to Understand Hurricane Processes and Evaluate Models"; Jun 21, 2016 - Jun 23, 2016; Pasadena, CA; United States
    Format: application/pdf
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  • 9
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Meteorology and Climatology
    Type: MSFC-E-DAA-TN36496 , TCI Science Team Meeting; Oct 18, 2016 - Oct 19, 2016; Boulder, CO; United States
    Format: application/pdf
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  • 10
    Publication Date: 2019-07-13
    Description: Surface wind speed retrievals have been generated and evaluated using Hurricane Imaging Radiometer (HIRAD) measurements from flights over Hurricane Joaquin, Hurricane Patricia, Hurricane Marty, and the remnants of Tropical Storm Erika, all in 2015. Procedures are described here for producing maps of brightness temperature, which are subsequently used for retrievals of surface wind speed and rain rate across a approx.50 km wide swath for each flight leg. An iterative retrieval approach has been developed to take advantage of HIRAD's measurement characteristics. Validation of the wind speed retrievals has been conducted, using 636 dropsondes released from the same WB-57 high altitude aircraft carrying HIRAD during the Tropical Cyclone Intensity (TCI) experiment. The HIRAD wind speed retrievals exhibit very small bias relative to the dropsondes, for winds tropical storm strength (17.5 m/s) or greater. HIRAD has reduced sensitivity to winds weaker than tropical storm strength, and a small positive bias (approx.2 m/s) there. Two flights with predominantly weak winds according to the dropsondes have abnormally large errors from HIRAD, and large positive biases. From the other flights, root mean square errors are 4.1 m/s (33%) for winds below tropical storm strength, 5.6 m/s (25%) for tropical storm strength winds, and 6.3 m/s (16%) for hurricane strength winds. Mean absolute errors for those categories are 3.2 m/s (25%), 4.3 m/s (19%), and 4.8 m/s (12%), with bias near zero for tropical storm and hurricane strength winds.
    Keywords: Meteorology and Climatology
    Type: MSFC-E-DAA-TN44260 , Journal of Atmospheric and Oceanic Technology (ISSN 0739-0572) (e-ISSN 1520-0426); 34; 8; 1837–1851
    Format: application/pdf
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