Dreary state of precipitation in global models

By Graeme L. Stephens, Tristan L'Ecuyer, Richard G. Forbes, Andrew Gettelmen, J. Golaz, A. Bodas‐Salcedo, Kentaroh Suzuki, P. Gabriel, John M. Haynes. 2010

753 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/104452276b0f01c5baef785d468ccdf99f81dfe3

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Citations in the corpus

A Multisensor Perspective on the Radiative Impacts of Clouds and Aerosols (2013, background): “…which is consistent with a rainfall rate of 10 mm h21 that has been shown to be the mean rain rate required to obtain agreement between bulk oceanic rainfall accumulations from CloudSat and the Tropical Rainfall Measuring Mission (TRMM) precipitation radar (Berg et al. 2010; Stephens et al. 2010).”
Bounding Global Aerosol Radiative Forcing of Climate Change (2020, background): “…2017).1144 The tendency of GCMs to form light precipitation too frequently may lead to an1145 overly strong impact of precipitation suppression (Stephens et al., 2010; M. Wang et al.,1146 2012), as aerosols cannot suppress precipitation from a non-precipitating cloud (Sorooshian1147 et al.,…”
The DOE E3SM Coupled Model Version 1: Description and Results at High Resolution (2019, background): “Both LRtunedHR and HR models generally share the same “too frequent, too weak” problem as shown in other climate models (e.g., Stephens et al., 2010; Trenberth et al., 2003).”
Precipitation Extremes Under Climate Change (2015, background): “Global models precipitate too frequently with too low a mean precipitation intensity [20,82], but this does not necessarily mean that they underestimate the intensity of precipitation extremes.”
Unified Modeling and Prediction of Weather and Climate: A 25-Year Journey (2012, methodology): “In addition, a nonhydrostatic mesoscale model originally developed by Tapp and White (1976) was introduced for operational use over the United Kingdom (Golding 1990).”
Intercomparison of annual precipitation indices and extremes over global land areas from in situ, space-based and reanalysis products (2019, background): “Many of the multi-product distributions are heavily skewed (e.g. CWD, PRCPTOT) but this can mostly be explained by the inclusion of the reanalysis data which might be affected by the excessive drizzle that is found in atmospheric models (e.g. Stephens et al 2010).”
A Comparison of TWP-ICE Observational Data with Cloud-Resolving Model Results (2012, result): “This pattern of overly frequent rainfall events with overall maximum intensity substantially lower than observed is consistent with extensive recent comparisons of ECMWF and other global models with CloudSat data [Stephens et al., 2010].”
An improved representation of the raindrop size distribution for single‐moment microphysics schemes (2012, methodology): “In terms of precipitation, Stephens et al. (2010) perform a comparison of several state-of-the-art GCMs against observations from the CloudSat spaceborne profiling cloud radar (Stephens et al., 2008) and conclude that there is a ‘dreary state of model depiction of the real world’.”