Advances in Understanding Top-of-Atmosphere Radiation Variability from Satellite Observations

By Norman G. Loeb, Seiji Kato, Wenying Su, Takmeng Wong, Fred G. Rose, David R. Doelling, J. Norris, Xianglei Huang. Surveys in geophysics, 2012

148 citations recorded by the source corpus.

This paper highlights how the emerging record of satellite observations from the Earth Observation System (EOS) and A-Train constellation are advancing our ability to more completely document and understand the underlying processes associated with variations in the Earth’s top-of-atmosphere (TOA) radiation budget. Large-scale TOA radiation changes during the past decade are observed to be within 0.5 Wm−2 per decade based upon comparisons between Clouds and the Earth’s Radiant Energy System (CERES) instruments aboard Terra and Aqua and other instruments. Tropical variations in emitted outgoing longwave (LW) radiation are found to closely track changes in the El Niño-Southern Oscillation (ENSO). During positive ENSO phase (El Niño), outgoing LW radiation increases, and decreases during the negative ENSO phase (La Niña). The coldest year during the last decade occurred in 2008, during which strong La Nina conditions persisted throughout most of the year. Atmospheric Infrared Sounder (AIRS) observations show that the lower temperatures extended throughout much of the troposphere for several months, resulting in a reduction in outgoing LW radiation and an increase in net incoming radiation. At the global scale, outgoing LW flux anomalies are partially compensated for by decreases in midlatitude cloud fraction and cloud height, as observed by Moderate Resolution Imaging Spectrometer and Multi-angle Imaging SpectroRadiometer, respectively. CERES data show that clouds have a net radiative warming influence during La Niña conditions and a net cooling influence during El Niño, but the magnitude of the anomalies varies greatly from one ENSO event to another. Regional cloud-radiation variations among several Terra and A-Train instruments show consistent patterns and exhibit marked fluctuations at monthly timescales in response to tropical atmosphere-ocean dynamical processes associated with ENSO and Madden–Julian Oscillation.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/312de2d2d4c8eab2025f277f2029369a3a690a70

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

In Global and Planetary Change

Citations in the corpus

Simulations for CMIP6 With the AWI Climate Model AWI‐CM‐1‐1 (2020, methodology): “This is augmented by the following data: CERES for top of atmosphere outgoing longwave radiation (TOA; Loeb et al., 2012), GPCP for precipitation (pr; Huffman et al., 2009), MODIS for total cloud cover (tcc; Platnick et al., 2003), and OSISAF for sea ice concentration (sic; Tonboe et al., 2016).”
Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate (2015, methodology): “…Adler et al. 2003), total cloud cover from the Moderate Resolution Imaging Spectroradiomenter (MODIS; Platnick et al. 2003; King et al. 2003), and top-of-the-atmosphere outgoing longwave radiation data from the Clouds and the Earth’s Radiant Energy System (CERES; Loeb et al. 2012) have been chosen.”
CERES Synoptic Product: Methodology and Validation of Surface Radiant Flux (2015, methodology): “At the TOA, the CERES energy balanced and filled (EBAF) product uses 5 years of Argo in situ ocean heat content tendencies (Roemmich andGilson 2009) to provide a constraint for global mean energy imbalance (Loeb et al. 2009, 2012).”