NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Geostationary Enhanced Temporal Interpolation for CERES Flux ProductsThe Clouds and the Earth's Radiant Energy System (CERES) instruments on board the Terra and Aqua spacecraft continue to provide an unprecedented global climate record of the earth's top-of-atmosphere (TOA) energy budget since March 2000. A critical step in determining accurate daily averaged flux involves estimating the flux between CERES Terra or Aqua overpass times. CERES employs the CERES-only (CO) and the CERES geostationary (CG) temporal interpolation methods. The CO method assumes that the cloud properties at the time of the CERES observation remain constant and that it only accounts for changes in albedo with solar zenith angle and diurnal land heating, by assuming a shape for unresolved changes in the diurnal cycle. The CG method enhances the CERES data by explicitly accounting for changes in cloud and radiation between CERES observation times using 3-hourly imager data from five geostationary (GEO) satellites. To maintain calibration traceability, GEO radiances are calibrated against Moderate Resolution Imaging Spectroradiometer (MODIS) and the derived GEO fluxes are normalized to the CERES measurements. While the regional (1 deg latitude x 1 deg longitude) monthly-mean difference between the CG and CO methods can exceed 25 W m(sub -2) over marine stratus and land convection, these regional biases nearly cancel in the global mean. The regional monthly CG shortwave (SW) and longwave (LW) flux uncertainty is reduced by 20%, whereas the daily uncertainty is reduced by 50% and 20%, respectively, over the CO method, based on comparisons with 15-min Geostationary Earth Radiation Budget (GERB) data.
Document ID
20160011367
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
Authors
Doelling, David R.
(NASA Langley Research Center Hampton, VA, United States)
Loeb, Norman G.
(NASA Langley Research Center Hampton, VA, United States)
Keyes, Dennis F.
(Science Systems and Applications, Inc. Hampton, VA, United States)
Nordeen, Michele L.
(Science Systems and Applications, Inc. Hampton, VA, United States)
Morstad, Daniel
(Science Systems and Applications, Inc. Hampton, VA, United States)
Nguyen, Cathy
(Science Systems and Applications, Inc. Hampton, VA, United States)
Wielicki, Bruce A.
(NASA Langley Research Center Hampton, VA, United States)
Young, David F.
(NASA Langley Research Center Hampton, VA, United States)
Sun, Moguo
(Science Systems and Applications, Inc. Hampton, VA, United States)
Date Acquired
September 20, 2016
Publication Date
June 26, 2013
Publication Information
Publication: Journal of Atmospheric and Oceanic Technology
Volume: 30
e-ISSN: 1520-0426
Subject Category
Meteorology And Climatology
Earth Resources And Remote Sensing
Report/Patent Number
NF1676L-22466
Funding Number(s)
WBS: WBS 652528.02.01
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available