Title
Clouds and the Earth's Radiant Energy System (CERES): algorithm overview
Abstract
The Clouds and the Earth's Radiant Energy System (CERES) is part of NASA's Earth Observing System (EOS), CERES objectives include the following. (1) For climate change analysis, provide a continuation of the Earth Radiation Budget Experiment (ERBE) record of radiative fluxes at the top-of-the-atmosphere (TOA), analyzed using the same techniques as the existing ERBE data. (2) Double the accuracy of estimates of radiative fluxes at TOA and the Earth's surface. (3) Provide the first long-term global estimates of the radiative fluxes within the Earth's atmosphere. (4) Provide cloud property estimates collocated in space and time that are consistent with the radiative fluxes from surface to TOA. In order to accomplish these goals, CERES uses data from a combination of spaceborne instruments: CERES scanners, which are an improved version of the ERBE broadband radiometers, and collocated cloud spectral imager data on the same spacecraft. The CERES cloud and radiative flux data products should prove extremely useful in advancing the understanding of cloud-radiation interactions, particularly cloud feedback effects on the Earth's radiation balance. For this reason, the CERES data should be fundamental to the ability to understand, detect, and predict global climate change. CERES results should also be very useful for studying regional climate changes associated with deforestation, desertification, anthropogenic aerosols, and ENSO events. This overview summarizes the Release 3 version of the planned CERES data products and data analysis algorithms. These algorithms are a prototype for the system that will produce the scientific data required for studying the role of clouds and radiation in the Earth's climate system
Year
DOI
Venue
1998
10.1109/36.701020
Geoscience and Remote Sensing, IEEE Transactions
Keywords
Field
DocType
atmospheric radiation,atmospheric techniques,clouds,geophysical signal processing,remote sensing,CERES,Clouds and the Earth's Radiant Energy System,EOS,algorithm,atmosphere,cloud,data processing,infrared radiation,measurement technique,meteorology,radiative flux,satellite remote sensing,thermal radiation
Global warming,Meteorology,Earth's energy budget,Climate change,Remote sensing,Algorithm,Radiometry,Radiative flux,Radiative transfer,Clouds and the Earth's Radiant Energy System,Mathematics,Cloud feedback
Journal
Volume
Issue
ISSN
36
4
0196-2892
Citations 
PageRank 
References 
33
10.18
2
Authors
22
Name
Order
Citations
PageRank
Bruce A. Wielicki15014.51
Bruce R. Barkstrom27317.54
Bryan A. Baum311637.89
Thomas P. Charlock43310.18
Richard N. Green53310.18
David P. Kratz63310.52
R. B. Lee74112.36
Patrick Minnis811327.45
G. Louis Smith94119.04
Takmeng Wong103612.43
David F. Young117217.96
Robert D. Cess123310.18
James A. Coakley133310.18
Jr .1418462.23
Dominique A. H. Crommelynck153310.18
Leo Donner163310.18
Robert Kandel173310.18
Michael D. King18361292.12
Alvin J. Miller193310.18
Veerabhadran Ramanathan203310.18
David A. Randall215812.85
Larry L. Stowe223310.18