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A climatic atlas of the air-sea interaction parameters and fluxes of the oceans using satellite data

IR@NIO: CSIR-National Institute Of Oceanography, Goa

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Field Value
 
Creator RameshKumar, M.R.
Schulz, J.
Jost, V.
 
Date 2009-01-09T09:15:26Z
2009-01-09T09:15:26Z
2000
 
Identifier The Fifth Pacific Ocean Remote Sensing Conference (PORSEC), 5-8 December 2000. Proceedings,Vol.2; 879-886p.
http://drs.nio.org/drs/handle/2264/1697
 
Description The present climatic atlas is based on the newly available data set known as the Hamburg Ocean Atmosphere Parameters and fluxes from Satellite data (HOAPS), for the global oceans. It presents the basic fields of air-sea interaction parameters such as sea surface temperature, specific humidity at air and sea surface temperature, difference in humidity, transfer coefficients, wind speed and the air sea fluxes such as latent heat, sensible heat and longwave radiation. The atlas also provides the hydrological cycle parameters over the global oceans such as evaporation, precipitation and freshwater flux. The data set covers the period July 1987 to December 1998 and provides the mean monthly, seasonal and annual fields of different variables. It is intended to provide a climatological data base for scientists in the field of climatology and air-sea interaction. It is hoped that this atlas will serve as a reference to the students as well as the scientists working in the fields of Climatology, Meteorology and Oceanography and also to others who are engaged in these fields.
 
Language en
 
Publisher NIO, Dona Paula, Goa (India)
 
Rights Copyright [2000]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
 
Subject air-sea interaction
climatology
surface temperature
humidity
wind speed
oceanographic data
satellite sensing
air temperature
 
Title A climatic atlas of the air-sea interaction parameters and fluxes of the oceans using satellite data
 
Type Conference Article