Surface Irradiances Consistent With CERES-Derived Top-of-Atmosphere Shortwave and Longwave Irradiances

By Seiji Kato, Norman G. Loeb, Fred G. Rose, David R. Doelling, David A. Rutan, Thomas E. Caldwell, Lisan Yu, R. Weller. 2013

414 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/a8c931eff0d286e288f532c2516c75ca8a4d7257

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Citations in the corpus

CERES Synoptic Product: Methodology and Validation of Surface Radiant Flux (2015, methodology): “In addition we include surface flux from the edition 2.7 EBAF-surface product (Kato et al. 2013), though as the EBAF-surface product is initially calculated from the SYN1deg product, it is not a completely independent dataset. a. Evaluation of computed surface flux using surface observations Tables…”
ICON‐A, the Atmosphere Component of the ICON Earth System Model: I. Model Description (2018, background): “tune-1 the SW and LW radiative fluxes at TOA are both close to 240 W/m(2), as in CERES (version CERES-EBAFEd4.0; Kato et al., 2013; Loeb et al., 2009), with a small positive balance.”
The global energy balance from a surface perspective (2013, background): “…solar and outgoing thermal TOA fluxes are about 5 Wm-2 larger than some of the earlier publications of global energy balance estimates (e.g., Kiehl and Trenberth 1997), which were adjusted from the global mean outgoing thermal radiation, determined at 235 Wm-2 during the Earth Radiation…”
The Observed State of the Energy Budget in the Early Twenty-First Century (2015, background): “Uncertainty in atmospheric and cloud properties can have significant impacts on computed downwelling fluxes at the surface that can lead to biases of up to 4 and 7Wm22 in DSR andDLR, respectively (Kato et al. 2013) (within the error bars reported on Fig.”
Characterizing and understanding radiation budget biases in CMIP3/CMIP5 GCMs, contemporary GCM, and reanalysis (2013, methodology): “The errors in cloud and atmospheric properties used as inputs therefore directly affect the accuracy and stability of modeled surface irradiances [Kato et al., 2012a].”
Challenges and Prospects for Reducing Coupled Climate Model SST Biases in the Eastern Tropical Atlantic and Pacific Oceans: The U.S. CLIVAR Eastern Tropical Oceans Synthesis Working Group (2016, background): “Figure 6 shows the buoys’ climatological annual cycle, the OAFlux, and the Clouds and the Earth’s Radiant Energy System (CERES) surface radiative fluxes (Kato et al. 2013 (Kumar et al. 2012, 2013).”
An Overview of the Atmospheric Component of the Energy Exascale Earth System Model (2019, background): “…it is convenient to concisely summarize here all of the all‐sky radiative fluxes (sensitive to clouds, aerosols, and surface albedo) differences between model and CERES‐EBAF observational estimates at the TOA (Loeb et al., 2009) and surface (Kato et al., 2013) using zonally averaged line plots.”
JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do) (2018, methodology): “Based on the Japanese 55-year Reanalysis (JRA-55; Kobayashi et al., 2015) project conducted by the Japan Meteorological Agency (JMA), it aims to complement and eventually replace the existing forcing dataset from Large and Yeager (2009). JRA-55 is among the more recent long-term reanalysis projects.”
Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model (2018, methodology): “…(MODIS) High cloud fraction MISR Multi-angle Imaging SpectroRadiometer (MISR) Low cloud fraction C3M CERES CALIPSO CloudSat MODIS (C3M) (Kato et al., 2011), in which CALIPSO stands for Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations and CloudSat is a spaceborne…”
Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1 (2019, methodology): “Land surface albedo is observed by the Clouds and the Earth's Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Surface data set Edition 4.0 (Kato et al., 2013; https://ceres.larc.nasa.gov/products.php?product=EBAF‐Surface).”