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- Author or Editor: James S. Goerss x
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An analysis scheme is developed to estimate drift or low frequency noise in ship measurement systems during GATE. The term “measurement system”. is used to encompass the collection of hand recorded as well as automatically recorded observations. The scheme is applied to ship systems measuring pressure, wet-bulb temperature, sea-surface temperature, dry-bulb temperature, wind speed, and wind direction. The drift analysis scheme is found to be quite successful in estimating the drift for the pressure and temperature measurement systems, but little success is found in the analysis of the wind data. In many cases the analysis scheme provides information about the error content of systems that would otherwise be unavailable and shows that drift corrections based solely on ship intercomparison results can, in some cases, lead to significant errors.
An analysis scheme is developed to estimate drift or low frequency noise in ship measurement systems during GATE. The term “measurement system”. is used to encompass the collection of hand recorded as well as automatically recorded observations. The scheme is applied to ship systems measuring pressure, wet-bulb temperature, sea-surface temperature, dry-bulb temperature, wind speed, and wind direction. The drift analysis scheme is found to be quite successful in estimating the drift for the pressure and temperature measurement systems, but little success is found in the analysis of the wind data. In many cases the analysis scheme provides information about the error content of systems that would otherwise be unavailable and shows that drift corrections based solely on ship intercomparison results can, in some cases, lead to significant errors.
The coverage and quality of remotely sensed upper-tropospheric moisture parameters have improved considerably with the deployment of a new generation of operational geostationary meteorological satellites: GOES-8/9 and GMS-5. The GOES-8/9 water vapor imaging capabilities have increased as a result of improved radiometric sensitivity and higher spatial resolution. The addition of a water vapor sensing channel on the latest GMS permits nearly global viewing of upper-tropospheric water vapor (when joined with GOES and Meteosat) and enhances the commonality of geostationary meteorological satellite observing capabilities. Upper-tropospheric motions derived from sequential water vapor imagery provided by these satellites can be objectively extracted by automated techniques. Wind fields can be deduced in both cloudy and cloud-free environments. In addition to the spatially coherent nature of these vector fields, the GOES-8/9 multispectral water vapor sensing capabilities allow for determination of wind fields over multiple tropospheric layers in cloud-free environments. This article provides an update on the latest efforts to extract water vapor motion displacements over meteorological scales ranging from subsynoptic to global. The potential applications of these data to impact operations, numerical assimilation and prediction, and research studies are discussed.
The coverage and quality of remotely sensed upper-tropospheric moisture parameters have improved considerably with the deployment of a new generation of operational geostationary meteorological satellites: GOES-8/9 and GMS-5. The GOES-8/9 water vapor imaging capabilities have increased as a result of improved radiometric sensitivity and higher spatial resolution. The addition of a water vapor sensing channel on the latest GMS permits nearly global viewing of upper-tropospheric water vapor (when joined with GOES and Meteosat) and enhances the commonality of geostationary meteorological satellite observing capabilities. Upper-tropospheric motions derived from sequential water vapor imagery provided by these satellites can be objectively extracted by automated techniques. Wind fields can be deduced in both cloudy and cloud-free environments. In addition to the spatially coherent nature of these vector fields, the GOES-8/9 multispectral water vapor sensing capabilities allow for determination of wind fields over multiple tropospheric layers in cloud-free environments. This article provides an update on the latest efforts to extract water vapor motion displacements over meteorological scales ranging from subsynoptic to global. The potential applications of these data to impact operations, numerical assimilation and prediction, and research studies are discussed.
