Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time‐scales

By P. Bechtold, Martin Köhler, T. Jung, Francisco J. Doblas-Reyes, Martin Leutbecher, M. Rodwell, F. Vitart, G. Balsamo. 2008

719 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/00353a9c8a4f89c6e5bc361ffce4ad10f2dcf369

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

In Global and Planetary Change

In Oceanography

Citations in the corpus

The Role of Convective Moistening in the Madden–Julian Oscillation (2009, background): “Range Weather Forecasts adopted a new convective parameterization in their current operational forecast model (Bechtold et al. 2008).”
The ERA5 global reanalysis (2020, methodology): “Changes to the parametrization of convection, originally based on Tiedtke (1989), include a thorough revision of the entrainment and the coupling with the large scale, leading to a large redistribution of rainfall from the Hadley Cell to the Walker Cell, a large improvement in the distribution of ra”
A mass-flux cumulus parameterization scheme for large-scale models: description and test with observations (2012, background): “, Zhang and McFarlane 1995) or based on tropospheric environmental humidity and subsaturation (Bechtold et al. 2008).”
Satellite cloud and precipitation assimilation at operational NWP centres (2011, background): “Convection Tiedke (1989); Kain and Fritsch (1990, 1993); Global: Arakawa Bechtold et al. (2008) Belair et al. (2005) and Schubert (1974).”
Factors controlling the position of the Intertropical Convergence Zone on an aquaplanet (2012, background): “representations of convection in models is insufficiently sensitive to the entrainment of moisture in the lower free troposphere (Neelin et al. 2009; Derbyshire et al. 2004; Bechtold et al. 2008; Neale et al. 2008).”
Introducing independent patterns into the Stochastically Perturbed Parametrization Tendencies (SPPT) scheme (2017, methodology): “Most notably for our discussion, CY37R3 closes the deep convection scheme using a CAPE formulation (Bechtold et al., 2008), whereas more recent model cycles use the ‘PCAPE’ formulation outlined in Bechtold et al. (2014).”
A Comparison of Dynamical and Statistical Predictions of Weekly Tropical Cyclone Activity in the Southern Hemisphere (2010, methodology): “This has been partially solved in the more recent versions of IFS (Vitart and Molteni 2009) that are not as overactive as Cy32r3.”
Revision of Convection and Vertical Diffusion Schemes in the NCEP Global Forecast System (2011, positive): “Following Bechtold et al. (2008), the entrainment is speciﬁed as where « 0 is the entrainment rate at the cloud base; RH the environmental relative humidity; d 1 a tunable parameter of O (10 2 4 ); q s and q sb the saturation speciﬁc humidities at the parcel level and the cloud base, respectively;…”
The GFDL Global Atmosphere and Land Model AM4.0/LM4.0: 2. Model Description, Sensitivity Studies, and Tuning Strategies (2018, methodology): “Similar approaches have also been used in the ECMWF model and other models for improving simulations of tropical variability such as the MJO, and previous studies suggest broad support by observations and the cloud resolving model (CRM) results [e.g., Johnson, 1997; Sherwood, 1999; Tompkins, 2001; R”
Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events (2018, background): “ML-based parameterizations have been developed for both radiative transfer [e.g., Chevallier et al. , 1998; Belochitski et al. , 2011] and for convective and boundary-layer processes [ Krasnopolsky et al. , 2010, 2013; Brenowitz and Bretherton , 2018; Gentine et al. , 2018; Rasp et al. , 2018].”
Simulation of the Madden– Julian Oscillation and its teleconnections in the ECMWF forecast system (2010, methodology): “Such study would have been difficult before Cy32r3, since the model could not maintain the amplitude of an MJO event for more than a few days.”
Parameterizing Convective Organization to Escape the Entrainment Dilemma (2011, background): “For example, a one-line formula making entrainment rate proportional to subsaturation [ Bechtold et al., 2008 ] has produced great improvements in European Center forecast model performance, albiet without physical justifications of even a qualitative nature.”
Representing Equilibrium and Nonequilibrium Convection in Large-Scale Models (2014, background): “The closure in (11) is complete with a deﬁnition of the convective adjustment time scale following Bechtold et al. (2008): Here, t c is the convective turnover time scale, H c is the convective cloud depth, w up is the vertically averaged updraft velocity, and f is an empirical scaling function…”
Madden—Julian Oscillation prediction and teleconnections in the S2S database (2017, background): “This progress can be attributed to model improvements (e.g. Bechtold et al., 2008; Hirons et al., 2013a, 2013b), better initial conditions and improved ensemble approaches as well as the availability of historical reforecasts to calibrate the forecasts.”
Improved Diurnal Cycle of Precipitation in E3SM With a Revised Convective Triggering Function (2019, background): “Bechtold et al. (2008) made the European Centre for Medium‐Range Weather Forecasts model more sensitive to environment moisture to improve the simulation of model variability including the diurnal cycle of precipitation.”
Climate Simulations Using MRI-AGCM3.2 with 20-km Grid (2012, methodology): “Even when using hydrostatic models with cumulus parameterization, a realistic amplitude of MJO can be simulated by improving the parameterization scheme (Bechtold et al. 2008).”
Prediction of the Madden–Julian oscillation with the POAMA dynamical prediction system (2011, background): “This is a common problem among dynamical ensemble prediction systems but is often remedied by inflating the ensemble spread (e.g., Bechtold et al. 2009 ), which we have not done here.”
Unified treatment of dry convective and stratocumulus‐topped boundary layers in the ECMWF model (2011, background): “Further details of the K-diffusion modification can be found in Bechtold et al. (2008).”
The Role of Entrainment in the Diurnal Cycle of Continental Convection (2010, methodology): “Entrainment rate profiles in CONTROL for convection with tops in various pressure intervals for the Bechtold et al. (2008) parameterization.”