The global energy balance from a surface perspective
By Martin Wild, D. Folini, Christoph M. Schär, Norman G. Loeb, E. Dutton, G. König‐Langlo. Climate Dynamics, 2013
501 citations recorded by the source corpus.
Subfields: Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/869d120cad1bf4ae62bb05c3e18751981e61f22a
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In Global and Planetary Change
- J. Golaz
- V. Larson
- Stephen A. Klein
- M. Zelinka
- M. Andreae
- Johannes Quaas
- Martin Wild
- Daniel Rosenfeld
Citations in the corpus
- Mathematical and physical ideas for climate science (2013, background): “receives nor emits energy. These constraints can be used for auditing climate models. At observational level non-zero energy balances are found at TOA and at the surface (Trenberth and Fasullo, 2012; Wild et al., 2013), due to the fact the the actual Earth is not at a stationary state, most notably ”
- The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution (2019, unknown): “Thus, while E3SMv1 global-average precipitation is larger than the Rodell et al. (2015) estimate used in Table 5 and the GPCP estimate used in Figure 10, it is within uncertainty bounds for Stephens et al. (2012) and Wild et al. (2012).”
- The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution (2019, background): “(uncertainty range of 0.2 to 1.0; Wild et al., 2012).”
- Next-generation angular distribution models for top-of-atmosphere radiative flux calculation from CERES instruments: validation (2015, background): “, 2010b), and to evaluate global general circulation models (e.g., Pincus et al., 2008; Su et al., 2010a; Wang and Su, 2013; Wild et al., 2013).”
- The Observed State of the Energy Budget in the Early Twenty-First Century (2015, methodology): “In particular, our estimates of DLR (or ‘‘back radiation’’ as it is sometimes termed) agree very well with those of Wild et al. (2013) as well as those reported in Wang and Dickinson (2013) but fall in between the estimates reported in Trenberth et al. (2009) and Stephens et al. (2012b).”
- Global observations of aerosol‐cloud‐precipitation‐climate interactions (2014, background): “Unfortunately, surface forcing by cloud-aerosol fields is even less well understood than that at the top of the atmosphere [e.g., Wild, 2005; Wild et al., 2013], let alone the vertically resolved atmospheric absorption and heating rates.”
- Estimating surface solar irradiance from satellites: Past, present, and future perspectives (2019, result): “(1993a) grossly agreed with later estimates of 160–165Wm (Loeb and Wielicki, 2016; Stephens et al., 2012; Wild et al., 2013).”
- Evaluation of the convection‐resolving climate modeling approach on continental scales (2017, background): “Solar Surface Radiation at Baseline Surface Radiation Network Stations The Baseline Surface Radiation Network (BSRN) is a radiometric network aiming at detecting important changes in the Earth’s irradiance [Ohmura et al., 1998; Wild et al., 2012].”
- Surface radiation climatology for Ny-Ålesund, Svalbard (78.9° N), basic observations for trend detection (2015, background): “Intense filamentary moisture intrusion events are a common feature in the Arctic and can induce large episodic increases of downward longwave radiation along the pole-ward moving branch of cyclones (Doyle et al. 2011; Woods et al. 2013).”