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- W2099681668 abstract "National Aeronautical and Space Administration (NASA) Langley cloud and radiation retrieval products are produced near real time over the continental United States (CONUS) by combining satellite-based cloud retrievals from Geostationary Operational Environmental Satellite (GOES) multi-spectral images (Minnis et.al. 2005). A subset of these data is available from the Atmospheric Radiation Measurement (ARM) archive. Currently, validation of real time cloud properties is performed only over the ARM Southern Great Plains (SGP) Cloud and Radiation Testbed site and during selected Intensive Operation Periods. Surface measurements routinely taken at the CART site provide an excellent source of validation data and can be used as a quality control dataset (e.g., Nordeen et al. 2005), but the measurements do not cover the entire CONUS and may not be available real-time. However, it is critical that the satellite retrievals be free of regional, diurnal and seasonal biases before they can be integrated into forecast models. Quality control must be performed on a large spatial network of observations to eliminate regional cloud retrieval biases. Fortunately, the Federal Aviation Administration (FAA) Automated Surface Observing System (ASOS) stations continuously operate lidar ceilometers in support of runway safety providing a spatially appropriate source of quality control measurements for, at a minimum, cloud fraction and cloud base height. There are over 900 FAA and National Weather Service ASOS stations distributed over the CONUS. These datasets are used in this paper to perform a preliminary validation of the ARM cloud detection algorithms applied GOES over the CONUS." @default.
- W2099681668 created "2016-06-24" @default.
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- W2099681668 date "2005-01-01" @default.
- W2099681668 modified "2023-09-27" @default.
- W2099681668 title "Validation of Satellite Retrieved Cloud Amounts Over the Continental United States with Automatic Sciences Research Center Ceilometer Data" @default.
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