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    A Dynamic Parallel Data-Computing Environment for Cross-Sensor Satellite Data Merger and Scientific Analysis 

    Source: Journal of Atmospheric and Oceanic Technology:;2002:;volume( 019 ):;issue: 009:;page 1307
    Author(s): Jones, Andrew S.; Vonder Haar, Thomas H.
    Publisher: American Meteorological Society
    Abstract: The Data Processing and Error Analysis System (DPEAS) is a dynamic parallel data processing system for cross-sensor satellite data merger and analysis. Using a peer-to-peer methodology, DPEAS is able to distribute and ...
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    Multiplicative and Additive Incremental Variational Data Assimilation for Mixed Lognormal–Gaussian Errors 

    Source: Monthly Weather Review:;2014:;volume( 142 ):;issue: 007:;page 2521
    Author(s): Fletcher, Steven J.; Jones, Andrew S.
    Publisher: American Meteorological Society
    Abstract: n advance that made Gaussian-based three- and four-dimensional variational data assimilation (3D- and 4DVAR, respectively) operationally viable for numerical weather prediction was the introduction of the incremental ...
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    A Blended Satellite Total Precipitable Water Product for Operational Forecasting 

    Source: Journal of Atmospheric and Oceanic Technology:;2007:;volume( 024 ):;issue: 001:;page 74
    Author(s): Kidder, Stanley Q.; Jones, Andrew S.
    Publisher: American Meteorological Society
    Abstract: Total precipitable water (TPW), the amount of water vapor in a column from the surface of the earth to space, is used by forecasters to predict heavy precipitation. In this paper, a process for blending TPW values retrieved ...
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    A Microwave Satellite Observational Operator for Variational Data Assimilation of Soil Moisture 

    Source: Journal of Hydrometeorology:;2004:;Volume( 005 ):;issue: 001:;page 213
    Author(s): Jones, Andrew S.; Vukićević, Tomislava; Vonder Haar, Thomas H.
    Publisher: American Meteorological Society
    Abstract: An observational operator and its adjoint have been created that are suitable for use within variational data assimilation using polarized 6- and 10-GHz passive microwave satellite observations. When used within a variational ...
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    Data Assimilation of Satellite-Derived Heating Rates as Proxy Surface Wetness Data into a Regional Atmospheric Mesoscale Model. Part I: Methodology 

    Source: Monthly Weather Review:;1998:;volume( 126 ):;issue: 003:;page 634
    Author(s): Jones, Andrew S.; Guch, Ingrid C.; Vonder Haar, Thomas H.
    Publisher: American Meteorological Society
    Abstract: A satellite data assimilation method is developed which incorporates satellite-observed infrared heating rates into a mesoscale atmospheric model to retrieve model soil moisture. The method builds upon previous work with ...
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    Data Assimilation of Satellite-Derived Heating Rates as Proxy Surface Wetness Data into a Regional Atmospheric Mesoscale Model. Part II: A Case Study 

    Source: Monthly Weather Review:;1998:;volume( 126 ):;issue: 003:;page 646
    Author(s): Jones, Andrew S.; Guch, Ingrid C.; Vonder Haar, Thomas H.
    Publisher: American Meteorological Society
    Abstract: A satellite data assimilation method is applied which incorporates satellite-observed heating infrared rates into a mesoscale atmospheric model to retrieve model soil moisture. In a 3D case study, the method is successful ...
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    A Method for Multisensor-Multispectral Satellite Data Fusion 

    Source: Journal of Atmospheric and Oceanic Technology:;1995:;volume( 012 ):;issue: 004:;page 739
    Author(s): Jones, Andrew S.; Eis, Kenneth E.; Vonder Haar, Thomas H.
    Publisher: American Meteorological Society
    Abstract: Multisensor-multispectral scientific data applications require a tremendous investment regarding data preparation and analysis. A data fusion method is developed that is general enough for use with any scan-line-based ...
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    Further Developments in Estimating Cloud Liquid Water over Land Using Microwave and Infrared Satellite Measurements 

    Source: Journal of Applied Meteorology:;1997:;volume( 036 ):;issue: 004:;page 389
    Author(s): Greenwald, Thomas J.; Combs, Cynthia L.; Jones, Andrew S.; Randel, David L.; Vonder Haar, Thomas H.
    Publisher: American Meteorological Society
    Abstract: Refinements and improvements of an earlier technique to retrieve the cloud liquid water path (LWP) of nonprecipitating clouds over land surfaces using Special Sensor Microwave/Imager (SSM/I) 85.5-GHz measurements are ...
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    Hydrologic Downscaling of Soil Moisture Using Global Data Sets without Site-Specific Calibration 

    Source: Journal of Hydrologic Engineering:;2018:;Volume ( 023 ):;issue: 011
    Author(s): Grieco Nicholas R.;Niemann Jeffrey D.;Green Timothy R.;Jones Andrew S.;Grazaitis Peter J.
    Publisher: American Society of Civil Engineers
    Abstract: Numerous applications require fine-resolution (1–3 m) soil moisture patterns, but most satellite remote sensing and land-surface models provide coarse-resolution (9–6 km) soil moisture estimates. The Equilibrium ...
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    Lognormal and Mixed Gaussian–Lognormal Kalman Filters 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 003
    Author(s): Fletcher, Steven J.; Zupanski, Milija; Goodliff, Michael R.; Kliewer, Anton J.; Jones, Andrew S.; Forsythe, John M.; Wu, Ting-Chi; Hossen, Md. Jakir; Van Loon, Senne
    Publisher: American Meteorological Society
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    DSpace software copyright © 2002-2015  DuraSpace
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