Anthony J. Schreiner

Application of GOES-8/9 Soundings to Weather Forecasting and Nowcasting

Abstract Since April 1994 a new generation of geostationary sounders has been measuring atmospheric radiances in 18 infrared spectral bands and thus providing the capability for investigating oceanographic and meteorological phenomena that far exceed those available from the previous generation of Geostationary Operational Environmental Satellites (GOES). Menzel and Purdom foreshadowed many of the anticipated improvements from the GOES-8/9 sounders. This article presents some of the realizations; it details the in-flight performance of the sounder, presents both validated operational as well as routinely available experimental products, and shows the impact on nowcasting and forecasting activities. For the first time operational hourly sounding products over North America and adjacent oceans are now possible with the GOES-8/9 sounders. The GOES-8/9 sounders are making significant contributions by depicting moisture changes for numerical weather prediction models over the continental United States, monitor...

A comparison of ground and satellite observations of cloud cover

Abstract A processing scheme that determines cloud height and amount based on radiances from the Visible Infrared Spin Scan Radiometer Atmospheric Sounder (VAS) using a CO2 absorption technique has been installed on the National Environmental Satellite Data and Information Service VAS Data Utilization Center computer system in Washington, D.C. The processed data will complement the Automated Surface Observing System (ASOS). ASOS uses automated ground equipment that provides near-continuous observations of surface weather data that are currently manually obtained. Geostationary multispectral infrared measurements are available every hour with information on clouds above the ASOS laser ceilometer viewing limit of 12 000 ft. The combined ASOS/satellite system will be able to depict cloud conditions at all levels up to 50 000 ft. The error rate of combined ASOS and satellite observations is less than 4% of the total sample in a comparison test with manual observations performed by National Weather Service per...

Observations and trends of clouds based on GOES sounder data

A 26 month (November 1997 through December 1999) data set of Geostationary Operational Environmental Satellite (GOES) sounder-derived cloud parameters has been analyzed to discern annual and monthly trends. An important outcome of this study is the identification of diurnal trends made possible by the geostationary satellite frequent observations over specific locations. The area of coverage is 20°N to 50°N and 60°W to 160°W, which corresponds to the continental United States and the surrounding waters. The satellite cloud observations were compared to manually observed Pilot Reports (PIREPs) and were found to be, on average, 35 hPa lower. Comparing the frequency of GOES sounder observations of high cloudiness with observations from the National Oceanic and Atmospheric Administration (NOAA) series of polar orbiting weather satellites reveals a correlation coefficient of 0.79 and a bias of 3.4% for the frequency of occurrence (GOES with a mean higher height). The frequency of occurrence and distribution of clouds, cloud top pressure (CTOP), and effective cloud amount are based on a spatial resolution of ∼40 km (3×3 field of view box) and are shown for eight regions. High clouds (CTOP ≤300 hPa) are found to be more prevalent during the Northern Hemisphere summer than winter for all regions. High clouds for 1998 comprise 8.5% of all observations. Also, in 1998 clear conditions are observed ∼34% of the time. Focusing on the strength of the hourly GOES sounder data, it is found that thin high clouds are most prevalent during the summer and fall seasons, occurring most frequently in the late morning and early afternoon.

Variational Retrieval of Cloud Parameters from GOES Sounder Longwave Cloudy Radiance Measurements

Abstract The optimal nonlinear inversion or one-dimensional variational (1DVAR) method was used to retrieve the cloud-top height and effective cloud amount from Geostationary Operational Environmental Satellite (GOES) sounder longwave spectral-band cloudy radiance measurements. The cloud-top pressure and effective cloud amount derived from the carbon dioxide (CO2)–slicing technique served as the background or first guess in the 1DVAR retrieval process. The atmospheric temperature profile, moisture profile, and surface skin temperature from the forecast analysis were used for the radiative transfer calculation in both the CO2-slicing method and the 1DVAR retrieval processing. Simulation studies were made to investigate the accuracy (the retrievals were compared with truth) of the cloud-top pressures and the effective cloud amounts derived from both the CO2-slicing and 1DVAR algorithms. Significant improvement of 1DVAR over CO2-slicing cloud properties was found in the simulation studies; an improvement of ...

A Multispectral Technique for Detecting Low-Level Cloudiness near Sunrise

Abstract A technique using the Geostationary Operational Environmental Satellite (GOES) sounder radiance data has been developed to improve detection of low clouds and fog just after sunrise. The technique is based on a simple difference method using the shortwave (3.7 μm) and longwave (11.0 μm) window bands in the infrared range of the spectrum. The time period just after sunrise is noted for the difficulty in being able to correctly identify low clouds and fog over land. For the GOES sounder cloud product this difficulty is a result of the visible reflectance of the low clouds falling below the “cloud” threshold over land. By requiring the difference between the 3.7- and the 11.0-μm bands to be greater than 5.0 K, successful discrimination of low clouds and fog is found 85% of the time for 21 cases from 14 September 2005 to 6 March 2006 over the GOES-12 sounder domain. For these 21 clear and cloudy cases the solar zenith angle ranged from 87° to 77°; however, the range of solar zenith angles for cloudy ...

Many uses of the geostationary operational environmental satellite-10 sounder and imager during a high inclination state

Geostationary Operational Environmental Satellite (GOES)-10 was the National Oceanic and Atmospheric Administrations (NOAA) operational GOES-West satellite for approximately eight years until it was retired as an operational satellite due to an ever increasing inclination in its orbit. Since its retirement, GOES-10 has been used for a number of applications, such as, special 1-minute imagery over parts of North America during its move to 60° West longitude, routine imagery of the Southern Hemisphere, the first operational Sounder coverage over South America, initialization of regional numerical weather prediction models, and even temporary recalled as the operational GOES-East satellite during a major GOES-12 anomaly. Products from the GOES-10 Sounder and/or Imager include: imagery, cloud-top parameters, atmospheric stability indices, total precipitable water vapor, motion vector winds, volcanic ash detection, fire detection and characterization, and precipitation. As the mission of GOES-10 has continued beyond its retirement as an official operational US satellite, already lasting more than double its five-year life expectancy, many countries have been afforded the opportunity to benefit from on-going GOES-10 measurements. The purpose of this paper is to summarize the history of GOES-10, especially the unique situation of GOES-10 operating in support of central and South America after its operational use.

Geostationary Operational Environmental Satellite Imager infrared channel-to-channel co-registration characterization algorithm and its implementation in the ground system

Abstract Channel-to-channel co-registration is an important performance metric for the Geostationary Operational Environmental Satellite (GOES) Imager, and large co-registration errors can have a significant impact on the reliability of derived products that rely on combinations of multiple infrared (IR) channels. Affected products include the cloud mask, fog and fire detection. This is especially the case for GOES-13, in which the co-registration error between channels 2 ( 3.9     μ m ) and 4 ( 10.7     μ m ) can be as large as 1 pixel (or ∼ 4     km ) in the east-west direction. The GOES Imager IR channel-to-channel co-registration characterization (GII4C) algorithm is presented, which allows a systematic calculation of the co-registration error between GOES IR channel image pairs. The procedure for determining the co-registration error as a function of time is presented. The algorithm characterizes the co-registration error between corresponding images from two channels by spatially transforming one image using the fast Fourier transformation resampling algorithm and determining the distance of the transformation that yields the maximum correlation in brightness temperature. The GII4C algorithm is an area-based approach which does not depend on a fixed set of control points that may be impacted by the presence of clouds. In fact, clouds are a feature that enhances the correlations. The results presented show very large correlations over the majority of Earth-viewing pixels, with stable algorithm results. Verification of the algorithm output is discussed, and a global spatial-spectral gradient asymmetry parameter is defined. The results show that the spatial-spectral gradient asymmetry is strongly correlated to the co-registration error and can be an effective global metric for the quality of the channel-to-channel co-registration characterization algorithm. Implementation of the algorithm in the GOES ground system is presented. This includes an offline component to determine the time dependence of the co-registration errors and a real-time component to correct the co-registration errors based on the inputs from the offline component.

A study of satellite-derived moisture with emphasis on the Gulf of Mexico

Abstract Visible-Infrared Spin Scan Radiometer (VISSR) Atmospheric Sounder (VAS) moisture retrievals are compared to the National Meteorological Center Regional Analysis and Forecast System (RAFS) 12-h forecast and to 1200 UTC rawinsondes over the United States and the Gulf of Mexico on a daily basis for nearly 1.5 years. The principal objective is to determine what information the current moisture retrieval add to that available from the RAFS and surface data. The data are examined from the climatological perspective, that is, total precipitable water over the seasons for three geographical regions, and also for synoptic applications, that is, vertical and horizontal resolution. VAS retrievals are found to be systematically too moist at higher values. The variance of the VAS soundings more closely agrees with the rawinsonde at locations around the Gulf of Mexico than the RAFS. An examination of a case (6 June 1989) over the Gulf of Mexico region comparing three layers of VAS-derived moisture to the RAFS ...