An Improved ENSO Ensemble Forecasting Strategy Based on Multiple Coupled Model Initialization Parameters
نویسندگان
چکیده
منابع مشابه
mortality forecasting based on lee-carter model
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
15 صفحه اولInitialization and Predictability of a Coupled ENSO Forecast Model*
The skill of a coupled ocean–atmosphere model in predicting ENSO has recently been improved using a new initialization procedure in which initial conditions are obtained from the coupled model, nudged toward observations of wind stress. The previous procedure involved direct insertion of wind stress observations, ignoring model feedback from ocean to atmosphere. The success of the new scheme is...
متن کاملAn Improved Multiple Description Coding Strategy Based on Path Diversity
In this paper, a source coding technique exploiting packet path diversity is presented, which combines the individual benefits of MDC (multiple description coding) and LC (layer coding) for video transmission over wireless networks. Performance comparisons between LC and MDC are discussed at the beginning of this paper. Their advantages and disadvantages are concluded. An improved coding techni...
متن کاملInitialization of an ENSO Forecast System Using a Parallelized Ensemble Filter
As a first step toward coupled ocean–atmosphere data assimilation, a parallelized ensemble filter is implemented in a new stochastic hybrid coupled model. The model consists of a global version of the GFDL Modular Ocean Model Version 4 (MOM4), coupled to a statistical atmosphere based on a regression of National Centers for Environmental Prediction (NCEP) reanalysis surface wind stress, heat, a...
متن کاملAn Hourly Streamflow Forecasting Model Coupled with an Enforced Learning Strategy
Floods, one of the most significant natural hazards, often result in loss of life and property. Accurate hourly streamflow forecasting is always a key issue in hydrology for flood hazard mitigation. To improve the performance of hourly streamflow forecasting, a methodology concerning the development of neural network (NN) based models with an enforced learning strategy is proposed in this paper...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Advances in Modeling Earth Systems
سال: 2019
ISSN: 1942-2466,1942-2466
DOI: 10.1029/2019ms001620