Calculation of radiative fluxes from the surface to top of atmosphere based on ISCCP and other global data sets: Refinements of the radiative transfer model and the input data
By Yuanchong Zhang, William B. Rossow, Andrew A. Lacis, V. Oinas, M. I. Mishchenko. 2004
1,141 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/247e8e3173600893b329b01eb054fcfb697fb99d
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In Atmospheric Science
- Chidong Zhang
- David A. Randall
- E. Maloney
- M. Webb
- Stephen A. Klein
- Duane Waliser
- C. DeMott
- Daehyun Kim
In Global and Planetary Change
- Chidong Zhang
- David A. Randall
- M. Webb
- Stephen A. Klein
- E. Maloney
- Duane Waliser
- C. DeMott
- Daehyun Kim
Citations in the corpus
- Major Characteristics of Southern Ocean Cloud Regimes and Their Effects on the Energy Budget (2011, methodology): “TOA radiative flux calculations were obtained from the ISCCP Flux Data (ISCCP FD) product (Zhang et al. 2004), which is derived on the same temporal and spatial scales as the D1 product.”
- The role of cloud phase in Earth's radiation budget (2017, result): “These results are comparable to the CERES estimate of −18.2 W m−2 reported in Allan [2011] but somewhat less negative than the −24.2 W m−2 estimate from the International Satellite Cloud Climatology Project data sets [Zhang et al., 2004].”
- The global energy balance from a surface perspective (2013, background): “For example, Zhang et al. (2004) determined a global mean downward thermal radiation of 345 Wm-2 based on ISCCP-FD, with a mean positive bias of 2.2 Wm-2 compared to BSRN observations available at the time, thus also supporting a value very close to the best estimate determined here.”
- JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do) (2018, methodology): “8 (hereafter referred to as CERES) is considered a state-of-thescience product replacing the earlier ISCCP-FD dataset (Zhang et al., 2004) used in CORE.”
- Solar radiation budget and radiative forcing due to aerosols and clouds (2008, neutral): “FD [Zhang et al., 2004], ERBE [Li and Leighton, 1993], AMIP-II [Wild, 2005; Wild et al.”
- Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity (2010, result): “7 W m(22)) is similar to the estimate from the First International Satellite Cloud Climatology Project (ISCCP; 235.8 W m(22); Zhang et al. 2004).”
- MJO Simulation Diagnostics (2009, methodology): “2001) and the International Satellite Cloud Climatology Project (ISCCP) datasets (Zhang et al. 2004).”
- CERES Synoptic Product: Methodology and Validation of Surface Radiant Flux (2015, methodology): “…theModern-Era Retrospective Analysis for Research and Applications (MERRA) (Rienecker et al. 2011), ISCCP flux data (FD) (Rossow and Schiffer 1991, 1999; Zhang et al. 2004) and Global Energy and Water Cycle Experiment Surface Radiation Budget (GEWEX SRB) 3.0 products (Stackhouse et al. 2011).”
- An ERA40-based atmospheric forcing for global ocean circulation models (2010, methodology): “1a suggests that uncorrected solar input from the ISCCP-FD product is excessive under the tropics.”
- Regimes of seasonal air–sea interaction and implications for performance of forced simulations (2007, methodology): “This set of surface shortwave radiation data, originally derived from the International Satellite Cloud Climatology Project (ISCCP; http://www.isccp.giss.nasa.gov/) with a 3-h resolution and on 2.5�· 2.5� grid ( Zhang et al. 2004 ), is provided by Dr William B. Rossow for distribution with products ”
- Review on Estimation of Land Surface Radiation and Energy Budgets From Ground Measurement, Remote Sensing and Model Simulations (2010, methodology): “The second type calculates the radiation quantities with radiative transfer models using satellite-derived atmospheric temperature and water vapor profiles.”
- Direct and semi-direct aerosol radiative effect on the Mediterranean climate variability using a coupled regional climate system model (2015, neutral): “The ISCCP provides radiance measurements with a spatial resolution of 2:5 2:5 (Zhang et al. 2004).”
- The Climate Sensitivity and Its Components Diagnosed from Earth Radiation Budget Data (2005, methodology): “2000), and a 1983–2000 dataset derived from several satellite instruments (Zhang et al. 2004).”