85 Result(s)

Article

A statistical review on the optimal fingerprinting approach in climate change studies

We provide a statistical review of the “optimal fingerprinting" approach presented in Allen and Tett (Clim Dyn 15:419-434, 1999) in light of the severe criticism of McKitrick (Checking for model consistency in...

Hanyue Chen, Song ** Chen, Mu Mu in Climate Dynamics (2024)

Article

Influence of Arctic Sea-ice Concentration on Extended-range Forecasting of Cold Events in East Asia

Utilizing the Community Atmosphere Model, version 4, the influence of Arctic sea-ice concentration (SIC) on the extended-range prediction of three simulated cold events (CEs) in East Asia is investigated. Nume...

Chunxiang Li, Guokun Dai, Mu Mu, Zhe Han, Xueying Ma… in Advances in Atmospheric Sciences (2023)

Article

The Influence of Arctic Sea Ice Concentration Perturbations on Subseasonal Predictions of North Atlantic Oscillation Events

The influence of Arctic sea ice concentration (SIC) on the subseasonal prediction of the North Atlantic Oscillation (NAO) event is investigated by utilizing the Community Atmospheric Model version 4. The optim...

Guokun Dai, Mu Mu, Zhe Han, Chunxiang Li, Zhina Jiang… in Advances in Atmospheric Sciences (2023)

Article

Recent Advances in China on the Predictability of Weather and Climate

This article summarizes the progress made in predictability studies of weather and climate in recent years in China, with a main focus on advances in methods to study error growth dynamics and reduce uncertain...

Wansuo Duan, Lichao Yang, Mu Mu, Bin Wang, Xueshun Shen… in Advances in Atmospheric Sciences (2023)

Article

A New Sensitivity Analysis Approach Using Conditional Nonlinear Optimal Perturbations and Its Preliminary Application

Simulations and predictions using numerical models show considerable uncertainties, and parameter uncertainty is one of the most important sources. It is impractical to improve the simulation and prediction ab...

Qiujie Ren, Mu Mu, Guodong Sun, Qiang Wang in Advances in Atmospheric Sciences (2023)

Chapter

Applications of Conditional Nonlinear Optimal Perturbations to Targeting Observation of Tropical Cyclones

To augment the routine observational network for better forecasts of high-impact (TOs) have developed rapidly during the past several decades over East Asia. (TC) forecasts have benefitted a lot from these...

**aohao Qin, Mu Mu, Feifan Zhou, Boyu Chen… in Numerical Weather Prediction: East Asian P… (2023)

Article

Optimally growing initial error for predicting the sudden shift in the Antarctic Circumpolar Current transport and its application to targeted observation

Initial errors critically affect the performance of short-term ocean predictions. To investigate the effects of initial errors on the 30-day prediction of the sudden shift in the Antarctic Circumpolar Current ...

Li Zhou, Kun Zhang, Qiang Wang, Mu Mu in Ocean Dynamics (2022)

Article

Recent Progress in Applications of the Conditional Nonlinear Optimal Perturbation Approach to Atmosphere-Ocean Sciences

The conditional nonlinear optimal perturbation (CNOP for short) approach is a powerful tool for predictability and targeted observation studies in atmosphere-ocean sciences. By fully considering nonlinearity u...

Mu Mu, Kun Zhang, Qiang Wang in Chinese Annals of Mathematics, Series B (2022)

Article

A Nonlinear Representation of Model Uncertainty in a Convective-Scale Ensemble Prediction System

How to accurately address model uncertainties with consideration of the rapid nonlinear error growth characteristics in a convection-allowing system is a crucial issue for performing convection-scale ensemble ...

Zhizhen Xu, **g Chen, Mu Mu, Guokun Dai, Yanan Ma in Advances in Atmospheric Sciences (2022)

Article

The IAMAS-CNC Early Career Scientists Nobel Prize Online Interpretation Workshop

**g Li, Zhong**g Jiang, Yueming Dong, Lu Zhang… in Advances in Atmospheric Sciences (2022)

Article

Identifying the sensitive areas in targeted observation for predicting the Kuroshio large meander path in a regional ocean model

With the Regional Ocean Modeling System (ROMS), this paper investigates the sensitive areas in targeted observation for predicting the Kuroshio large meander (LM) path using the conditional nonlinear optimal p...

**a Liu, Qiang Wang, Mu Mu in Acta Oceanologica Sinica (2022)

Article

Increasingly important role of numerical modeling in oceanic observation design strategy: A review

Oceanic observation design is of considerable significance and has made remarkable progress during the past several decades. This study addresses the critical role of numerical modeling in oceanic observation ...

Kun Zhang, Mu Mu, Qiang Wang in Science China Earth Sciences (2020)

Article

Impacts of parameter uncertainties on deep chlorophyll maximum simulation revealed by the CNOP-P approach

Parameter uncertainty is a primary source of uncertainty in ocean ecosystem simulations. The deep chlorophyll maximum (DCM) is a ubiquitous ecological phenomenon in the ocean. Using a theoretical nutrients-phy...

Yongli Gao, Mu Mu, Kun Zhang in Journal of Oceanology and Limnology (2020)

Article

The fastest growing initial error in prediction of the Kuroshio Extension state transition processes and its growth

In this study, the predictability of the Kuroshio Extension (KE) transition processes is explored from an error growth perspective. The fastest growing initial errors (FGIEs) are obtained through the condition...

Qiang Wang, Mu Mu, Stefano Pierini in Climate Dynamics (2020)