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At least 235 records · Page 13

Satellite remote sensing of meteorological parameters

Recent advances in remote atmospheric sensing are briefly reviewed, with particular attention given to vertical temperature and humidity profiles, cloud structure, and wind. Present capabilities and projections of future improvements in accuracy and resolution are given for the Microwave Sounding Unit, High Resolution Infrared Sounder, Defence Meteorological Satellite Project, and VISSR Atmospheric Sounder. It is noted that future sounding systems will require (1) high spectral resolution; (2) multispectral observations of the atmosphere and the surface in order to correct for most of the geophysical processes contaminating the outgoing radiance; and (3) a control algorithm capable of using information from multispectral channels to identify those parameters that have errors larger than a specified value.

Chahine, M. T.↗

The meteorological instrumentation of satellites

Requirements of meteorological satellite sensor systems and use of communications and manned spacecraft to obtain weather data - Integration of observations into numerical forecasting

WEATHER FORECASTING↗

The evolution of atmospheric measurements from satellites

A review of meteorological satellites, the instrumentation mounted on them, and uses to which they were put. The history of the development of the system of meteorological satellites is reviewed, followed by detailed coverage of the sensors (imagers, scanners, sounders) mounted on the satellites. Global cloud cover, storm tracking, tropospheric water vapor, stratospheric temperature and air flow, and the radiation budget are among the objects of study in this decade-and-a-half program. Weather analysis and prediction have been advanced appreciably.

Tepper, M.↗

DATA COLLECTION BY SATELLITES

Discussion of future meteorological satellite data collection system consisting of automatic land, sea and balloon relay weather stations

SATELLITE OBSERVATION↗

The impact of WARC-79 on space applications

It is pointed out that the decisions of WARC-79 are crucial to the future utility of applications evolving from research and development of space techniques. WARC-79 provided the spectrum allocations and protection which will permit continued development of a broad range of space applications. Space research and earth-exploration satellite services are discussed, taking into account remote sensing, spectrum requirements, implications for designers and regulators, and space research and earth exploration satellite services. Meteorological satellites are considered along with search-and-rescue operations, standard frequency and time satellites, the search for extraterrestrial intelligence, and the solar-power satellite. The WARC rejected a U.S. allocation proposal for the solar-power satellite on the basis that the proposal was premature because spectrum, biological, and ecological impacts have not yet been fully examined.

Kiebler, J. W.↗

On the use of satellites in Molniya orbit for meteorological and oceanographic observations of the high latitudes

Two types of orbits are currently used for meteorological satellites: geostationary orbit and low earth orbit. Neither orbit serves the high latitudes well. The Soviet Molniya satellites fly in a highly elliptic orbit inclined 63.4 deg to the equator. For approximately 8 h of its 12-h orbit, a satellite in Molniya orbit is synchronized with the earth such that it is nearly geostationary in the high latitudes. A meteorological/oceanographic satellite in Molniya orbit would bring nearly the same frequent imaging capability to the high latitudes which the tropics and mid-latitudes now enjoy. The uses of such a satellite include Arctic forecasting, study of polar lows, high latitude precipitation estimation, Antarctic studies, sea ice monitoring, and ozone measurements.

Kidder, Stanley Q.↗

Summary report on the Nimbus II satellite.

Nimbus 2 meteorological satellite observations, discussing circulation associated with synoptic scale systems obtained by correlating water vapor and carbon dioxide pictures

Nordberg, W.↗

Monthly mean large-scale analyses of upper-tropospheric humidity and wind field divergence derived from three geostationary satellites

This paper describes the results from a collaborative study between the European Space Operations Center, the European Organization for the Exploitation of Meteorological Satellites, the National Oceanic and Atmospheric Administration, and the Cooperative Institute for Meteorological Satellite Studies investigating the relationship between satellite-derived monthly mean fields of wind and humidity in the upper troposphere for March 1994. Three geostationary meteorological satellites GOES-7, Meteosat-3, and Meteosat-5 are used to cover an area from roughly 160 deg W to 50 deg E. The wind fields are derived from tracking features in successive images of upper-tropospheric water vapor (WV) as depicted in the 6.5-micron absorption band. The upper-tropospheric relative humidity (UTH) is inferred from measured water vapor radiances with a physical retrieval scheme based on radiative forward calculations. Quantitative information on large-scale circulation patterns in the upper-troposphere is possible with the dense spatial coverage of the WV wind vectors. The monthly mean wind field is used to estimate the large-scale divergence; values range between about-5 x 10(exp -6) and 5 x 10(exp 6)/s when averaged over a scale length of about 1000-2000 km. The spatial patterns of the UTH field and the divergence of the wind field closely resemble one another, suggesting that UTH patterns are principally determined by the large-scale circulation. Since the upper-tropospheric humidity absorbs upwelling radiation from lower-tropospheric levels and therefore contributes significantly to the atmospheric greenhouse effect, this work implies that studies on the climate relevance of water vapor should include three-dimensional modeling of the atmospheric dynamics. The fields of UTH and WV winds are useful parameters for a climate-monitoring system based on satellite data. The results from this 1-month analysis suggest the desirability of further GOES and Meteosat studies to characterize the changes in the upper-tropospheric moisture sources and sinks over the past decade.

Schmetz, Johannes↗

Looking at Earth from space: Direct readout from environmental satellites

Direct readout is the capability to acquire information directly from meteorological satellites. Data can be acquired from NASA-developed, National Oceanic and Atmospheric Administration (NOAA)-operated satellites, as well as from other nations' meteorological satellites. By setting up a personal computer-based ground (Earth) station to receive satellite signals, direct readout may be obtained. The electronic satellite signals are displayed as images on the computer screen. The images can display gradients of the Earth's topography and temperature, cloud formations, the flow and direction of winds and water currents, the formation of hurricanes, the occurrence of an eclipse, and a view of Earth's geography. Both visible and infrared images can be obtained. This booklet introduces the satellite systems, ground station configuration, and computer requirements involved in direct readout. Also included are lists of associated resources and vendors.

Source record↗

Distribution of Mount St. Helens dust inferred from satellites and meteorological data

Visible and infrared pictures from two Geostationary Operational Environmental Satellite Systems satellites, in circular orbits at about 19,000 nautical miles, are available continuously at approximately 30 minute intervals. Still pictures and film loops from this system vividly depict the events associated with the May 18, 1980 eruption of Mount St. Helens. The initial explosion, shock wave, and visible horizontal dust distribution during the following week are readily apparent. Meteorological wind and height fields permit the inference of the vertical distribution of volcanic dust as well as explain the atmospheric behavior which caused the visible and nonvisible dust distribution.

Laver, J. D.↗