Clouds and the Earth’s Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Top-of-Atmosphere (TOA) Edition-4.0 Data Product
By Norman G. Loeb, David R. Doelling, Hailan Wang, Wenying Su, C. Nguyen, J. G. Corbett, Lusheng Liang, Cristian Mitrescu, Fred G. Rose, Seiji Kato. 2018
790 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/e3991d33b1d88e60f77ad842c6bb7a5716477806
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
- A. Köhl
- Anny Cazenave
- W. Llovel
- Tristan L'Ecuyer
- Seiji Kato
- B. Meyssignac
- E. Manzini
- Jochem Marotzke
Citations in the corpus
- The Max Planck Institute Grand Ensemble: Enabling the Exploration of Climate System Variability (2019, background): “Here the most robust estimate is a single observational estimate of the variability, based on the Clouds and the Earth's Radiant Energy System Energy Balanced and Filled (Loeb et al., 2018) top of the atmosphere irradiance product, which only covers the period 2000–2015.”
- The Australian Earth System Model: ACCESS-ESM1.5 (2020, background): “…values are of the correct relative order, with the NH value smaller than the global value and the southern hemisphere (SH) value larger, but with an overall greater gradient (3.69Wm 2) than that seen in present-day observations such as CERES satellite based data (1.30Wm 2) (Loeb et al. 2018).”
- Measuring Global Ocean Heat Content to Estimate the Earth Energy Imbalance (2019, background): “Direct measurements of EEI from CERES EBAF are known for their high temporal stability (±0.17 Wm−2 at interannual time scales, Loeb et al., 2018a), reflecting essentially internal climate variability, such as induced by ENSO (Loeb et al., 2017).”