Fifty years of research on the Madden‐Julian Oscillation: Recent progress, challenges, and perspectives
Since its discovery in the early 1970s, the crucial role of the Madden‐Julian Oscillation
(MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate …
(MJO) in the global hydrological cycle and its tremendous influence on high‐impact climate …
Ongoing breakthroughs in convective parameterization
C Rio, AD Del Genio, F Hourdin - Current Climate Change Reports, 2019 - Springer
Abstract Purpose of Review While the increase of computer power mobilizes a part of the
atmospheric modeling community toward models with explicit convection or based on …
atmospheric modeling community toward models with explicit convection or based on …
Analog forecasting with dynamics-adapted kernels
Z Zhao, D Giannakis - Nonlinearity, 2016 - iopscience.iop.org
Analog forecasting is a nonparametric technique introduced by Lorenz in 1969 which
predicts the evolution of states of a dynamical system (or observables defined on the states) …
predicts the evolution of states of a dynamical system (or observables defined on the states) …
Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model
The Climate SPHINX (Stochastic Physics HIgh resolutioN eXperiments) project is a
comprehensive set of ensemble simulations aimed at evaluating the sensitivity of present …
comprehensive set of ensemble simulations aimed at evaluating the sensitivity of present …
Stochastic convective parameterization improving the simulation of tropical precipitation variability in the NCAR CAM5
Abstract The Plant‐Craig (PC) stochastic convective parameterization scheme is
implemented into the National Center for Atmospheric Research Community Atmosphere …
implemented into the National Center for Atmospheric Research Community Atmosphere …
Improved MJO‐simulation in ECHAM 6.3 by coupling a S tochastic M ulticloud M odel to the convection scheme
Abstract We implement a Stochastic Multicloud Model (SMCM) in an observation‐informed
configuration into the convection scheme of the state‐of‐the‐art GCM ECHAM6. 3. The …
configuration into the convection scheme of the state‐of‐the‐art GCM ECHAM6. 3. The …
Improving synoptic and intraseasonal variability in CFSv2 via stochastic representation of organized convection
To better represent organized convection in the Climate Forecast System version 2 (CFSv2),
a stochastic multicloud model (SMCM) parameterization is adopted and a 15 year climate …
a stochastic multicloud model (SMCM) parameterization is adopted and a 15 year climate …
Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics
N Chen - Journal of Computational Physics, 2020 - Elsevier
Learning nonlinear turbulent dynamics from partial observations is an important and
challenging topic. In this article, an efficient learning algorithm based on the expectation …
challenging topic. In this article, an efficient learning algorithm based on the expectation …
Revised cloud processes to improve the mean and intraseasonal variability of I ndian summer monsoon in climate forecast system: Part 1
S Abhik, RPM Krishna, M Mahakur… - Journal of Advances …, 2017 - Wiley Online Library
Abstract The National Centre for Environmental Prediction (NCEP) Climate Forecast System
(CFS) is being used for operational monsoon prediction over the Indian region. Recent …
(CFS) is being used for operational monsoon prediction over the Indian region. Recent …
[HTML][HTML] A spatiotemporal stochastic model for tropical precipitation and water vapor dynamics
S Hottovy, SN Stechmann - Journal of the Atmospheric …, 2015 - journals.ametsoc.org
A linear stochastic model is presented for the dynamics of water vapor and tropical
convection. Despite its linear formulation, the model reproduces a wide variety of …
convection. Despite its linear formulation, the model reproduces a wide variety of …