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  • 1
    Publication Date: 2013-08-31
    Description: The National Meterological Center (NMC) Dynamical Extended Range Forecast (DERF 2) data represents a major computational effort to better ascertain the potential for extended range forecasts and to develop a strategy for performing operational extended range forecasts using dynamical models. A major stumbling block for using this data has been the sheer volume of data that must be processed to perform even simple calculations. The product of the data reduction described is a manageable data set that fits comfortably on five magnetic tapes or on one compact disc. The document outlines the data reduction process of the second phase of DERF data. It contains the description of the fields and the resolution of both the original and final fields. In order to assist the users of this data set, maps of selected fields, using both the original truncation at rhomboidal 30 and the truncation of the final data at triangular 20, are displayed.
    Type: REPT-89B00097 , NAS 1.15:100727 , NASA-TM-100727
    Format: application/pdf
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  • 2
    Publication Date: 2019-07-12
    Description: In April 2010, developers representing each of the major reanalysis centers met at Goddard Space Flight Center to discuss technical issues - system advances and lessons learned - associated with recent and ongoing atmospheric reanalyses and plans for the future. The meeting included overviews of each center s development efforts, a discussion of the issues in observations, models and data assimilation, and, finally, identification of priorities for future directions and potential areas of collaboration. This report summarizes the deliberations and recommendations from the meeting as well as some advances since the workshop.
    Keywords: Meteorology and Climatology
    Type: NASA/TM-2012-104606/VOL29 , GSFC.TM.6867.2012
    Format: application/pdf
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  • 3
    Publication Date: 2017-08-04
    Description: The Universal Soil Loss Equation (USLE) is the most frequently applied erosion prediction model and it is also implemented as official decision-making instrument for agricultural regulations. The USLE itself was already validated by different approaches. Additional errors, however, arise from input data and interpolation procedures that become necessary for field-specific predictions on a national scale for administrative purposes. In this study, predicted event soil loss using the official prediction system in Bavaria (Germany) was validated by comparison with aerial photo erosion classifications of 8100 fields. Values for the USLE factors were mainly taken from the official Bavarian high-resolution (5 x 5 m 2 ) erosion cadastre. As series of erosion events were examined, the cover and management factor was replaced by the soil loss ratio. The event erosivity factor was calculated from high-resolution (1 x 1 km 2 , 5 min), rain gauge-adjusted radar rain data (RADOLAN). Aerial photo erosion interpretation worked sufficiently well and average erosion predictions and visual classifications correlated closely. This was also true for data broken down to individual factors and different crops. There was no reason to assume a general invalidity of the USLE and the official parameterization procedures. Event predictions mainly suffered from errors in the assumed crop stage period and tillage practices, which do not reflect interannual and farm-specific variation. In addition, the resolution of radar data (1 km 2 ) did not seem to be sufficient to predict short-term erosion on individual fields given the strong spatial gradients within individual rains. The quality of the input data clearly determined prediction quality. Differences between USLE predictions and observations are most likely caused by parameterization weaknesses but not by a failure of the model itself.
    Print ISSN: 0197-9337
    Electronic ISSN: 1096-9837
    Topics: Geography , Geosciences
    Published by Wiley
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