A Synoptic Scale Overview Of The Toga Coare Intensive Observing Period November 1992 To February 1993 Based On Analyses From Us Operational Global Data Assimilation Systems
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Scientific and Technical Aerospace Reports
Author | : |
Publisher | : |
Total Pages | : 804 |
Release | : 1994 |
Genre | : Aeronautics |
ISBN | : |
Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.
TOGA Notes
Author | : |
Publisher | : |
Total Pages | : 126 |
Release | : 1994 |
Genre | : Ocean-atmosphere interaction |
ISBN | : |
A Synoptic-Scale Overview of the Toga Coare Intensive Observing Period November 1992 to February 1993 Based on Analyses from Us Operational Global Data Assimilation Systems
Author | : National Aeronautics and Space Administration (NASA) |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 296 |
Release | : 2018-07-23 |
Genre | : |
ISBN | : 9781723501531 |
The operational global analyses from the two major U.S. numerical weather prediction centers, the Navy's Fleet Numerical Oceanography Center and the National Meteorological Center, are used to describe the synoptic-scale features of the 1 Nov. 1992 to 28 Feb. 1993 TOGA COARE intensive observing period (IOP). TOGA COARE is an international field experiment in which a large number of research scientists from the Goddard Laboratory for Atmospheres (Code 910) and the Laboratory for Hydrospheres (Code 970) participated. Two high-amplitude intraseasonal (30-60 day) oscillations passed through the TOGA COARE observational network located in the equatorial western Pacific. Associated with the oscillations were two 6-10 day periods of persistent westerly surface winds at the equator or 'westerly wind bursts.' These events are depicted through time series and time-longitude cross sections of divergence/velocity potential, surface winds, precipitation, ocean mixed-layer depth, and sea surface temperature. The high and low frequency components of the flow in which the intraseasonal oscillations were embedded are shown using seasonal, monthly, and 5-day averages of the surface, 850 and 200 mb winds, precipitation, and sea-level pressure, and a time-longitude cross section of tropical cyclone activity. Independent verification of precipitation comes from near real-time satellite estimates, and a reference climatology is given based on 9 years of ECMWF analyses. Daily 00 UTC analyses of surface winds and sea-level pressure for the entire western Pacific and Indian Ocean are provided to trace the evolution of individual synoptic events. Fiorino, M. and Lord, S. J. and Lau, W. K.-M. and Phoebus, P. A. and Strey, C. G. Goddard Space Flight Center NASA-TM-104593, REPT-94B00015, NAS 1.15:104593, AD-A274627 ...
Spring Meeting
Author | : American Geophysical Union. Meeting |
Publisher | : |
Total Pages | : 692 |
Release | : 1996 |
Genre | : Geophysics |
ISBN | : |
Learning to Predict Climate Variations Associated with El Nino and the Southern Oscillation
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 188 |
Release | : 1997-01-12 |
Genre | : Science |
ISBN | : 0309053420 |
The TOGA (Tropical Ocean and Global Atmosphere) Program was designed to study short-term climate variations. A 10-year international program, TOGA made El Nino a household word. This book chronicles the cooperative efforts of oceanographers and meteorologists, several U.S. government agencies, many other nations, and international scientific organizations to study El Nino and the Southern Oscillation (ENSO). It describes the progression from being unable to detect the development of large climate variations to being able to make and use rudimentary climate predictions, especially for some tropical countries. It examines the development of the TOGA Program, evaluates its accomplishments, describes U.S. participation in the program, and makes general recommendations for developing better understanding and predictions of climate variations on seasonal to interannual time scales.