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A Dynamic Parallel Data-Computing Environment for Cross-Sensor Satellite Data Merger and Scientific Analysis
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 ...
Multiplicative and Additive Incremental Variational Data Assimilation for Mixed Lognormal–Gaussian Errors
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 ...
A Blended Satellite Total Precipitable Water Product for Operational Forecasting
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 ...
A Microwave Satellite Observational Operator for Variational Data Assimilation of Soil Moisture
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 ...
Data Assimilation of Satellite-Derived Heating Rates as Proxy Surface Wetness Data into a Regional Atmospheric Mesoscale Model. Part I: Methodology
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 ...
Data Assimilation of Satellite-Derived Heating Rates as Proxy Surface Wetness Data into a Regional Atmospheric Mesoscale Model. Part II: A Case Study
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 ...
A Method for Multisensor-Multispectral Satellite Data Fusion
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 ...
Further Developments in Estimating Cloud Liquid Water over Land Using Microwave and Infrared Satellite Measurements
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 ...
Hydrologic Downscaling of Soil Moisture Using Global Data Sets without Site-Specific Calibration
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 ...
Lognormal and Mixed Gaussian–Lognormal Kalman Filters
Publisher: American Meteorological Society