On the Relationship between Stratiform Low Cloud Cover and Lower-Tropospheric Stability
By R. Wood, Chris Bretherton. 2006
675 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/74fdf4fe2f99ee457261b4a2da97ecef239ca60b
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
- M. Zelinka
- Stephen A. Klein
- M. Webb
- D. Hartmann
- Sandrine Bony
- J. Gregory
- T. Andrews
- Chris Bretherton
In Global and Planetary Change
- M. Zelinka
- Stephen A. Klein
- M. Webb
- D. Hartmann
- Sandrine Bony
- J. Gregory
- T. Andrews
- Chris Bretherton
Citations in the corpus
- Origins of differences in climate sensitivity, forcing and feedback in climate models (2013, background): “In this section we sort cloud components of the feedback and forcing terms over the low latitude oceans into percentile ranges of LTS, following the approach of Wyant et al. (2009). This is to see the extent to which the model features described above originate from different stability regimes of th”
- How Well Do We Understand and Evaluate Climate Change Feedback Processes (2006, background): “However variants of lower-tropospheric stability that may predict boundary layer cloud cover just as well as the Klein and Hartmann (1993) parameterization, would not necessarily predict an increase in boundary layer cloud in a warmer climate (e.g., Williams et al. 2006; Wood and Bretherton 2006).”
- Tropical and Subtropical Cloud Transitions in Weather and Climate Prediction Models: The GCSS/WGNE Pacific Cross-Section Intercomparison (GPCI) (2011, background): “…study (June–July–August 1998) is too short to obtain statistically significant results concerning relations between cloud properties such as cloud cover and other properties such as measures of vertical stability (e.g., Klein and Hartmann 1993; Wood and Bretherton 2006; Kawai and Teixeira 2010).”
- Observational Evidence That Enhanced Subsidence Reduces Subtropical Marine Boundary Layer Cloudiness (2013, methodology): “As in Wood and Bretherton (2006), we assume a fixed relative humidity of 80%, which simplifies the calculation while introducing little error.”
- Analyzing the dependence of global cloud feedback on the spatial pattern of sea surface temperature change with a Green's function approach (2017, background): “Previous studies suggest that, in addition to SST, the estimated inversion strength (EIS) is important in determining the low-cloud cover [Wood and Bretherton, 2006], so we analyzed the change of EIS in response to the patch warmings (Figures 1j–1l).”
- Mixed‐phase cloud physics and Southern Ocean cloud feedback in climate models (2015, background): “Finally, the cloud coverage, and subsequently condensate mass, may simply increase as atmospheric stability increases [Caldwell et al., 2013; Klein and Hartmann, 1993; Wood and Bretherton, 2006].”
- Low-Cloud Feedbacks from Cloud-Controlling Factors: A Review (2017, background): “For example, observations show that a linear relationship with inversion strength can explain over 80% of the variance in the seasonal cycle of tropical and extra-tropical marine low clouds (Klein and Hartmann 1993; Wood and Bretherton 2006).”
- Causes of Higher Climate Sensitivity in CMIP6 Models (2020, background): “SST and estimated inversion strength (EIS; Wood & Bretherton, 2006) are commonly found to be the most important CCFs for driving future cloud changes.”
- Impact of decadal cloud variations on the Earth/'s energy budget (2016, result): “If we could find trends that match those observed between 1980 and 2005, we could conclude that (1) models are capable of reproducing the observed SST trends but they just happened to not do so during the AMIP period and (2) that the trend can emerge solely due to internal variability and does not r”
- Cloud feedback mechanisms and their representation in global climate models (2017, neutral): “strength at the top of the planetary boundary layer (PBL) and cloud amount.(78,79) A stronger inversion”
- The Dependence of Global Cloud and Lapse Rate Feedbacks on the Spatial Structure of Tropical Pacific Warming (2018, methodology): “…variations in lapse rate feedback are also determined by the structure of surface temperature change 2Qu et al. (2014, 2015b) actually use the estimated inversion strength (EIS) of Wood and Bretherton (2006) rather than LTS, but EIS and LTS have a similar characteristic response (Webb et al. 2013).”