2 Abstract The breeding method has been implemented in the NASA Global Modeling and Assimilation Office (GMAO) coupled general circulation model (CGCM) in its operational configuration where ocean data assimilation is used to initialize the coupled forecasts. Bred vectors (BVs), designed to capture the dominant growing errors in the atmosphere-ocean coupled system, are applied as initial ensemb...

abstract statistical methods are one of the useful tools for climatic elements and their behaviors analysis, as well as, modeling and predicting them subtly. in this paper the behavior of time series of annual temperature of zanjan during 1956-2005 have been studied. so, based on autocorrelation, correlation coefficient, and spearman and mann - kendall ways, the data trend was determined. the a...

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

A multiple linear regression and ARIMA hybrid model is proposed for new bug prediction depending upon resolved bugs and other available parameters of the open source software bug report. Analysis of last five year bug report data of a open source software “worldcontrol” is done to identify the trends followed by various parameters. Bug report data has been categorized on monthly basis and forec...

The Bydgoszcz region (Poland) is located in an area with a very high demand for supplementary irrigation during the vegetation period of plants. projected global warming will bring rise water needs crops, and thus further increase needs. goal study was attempt to estimate sweet cherry trees 2021–2050 (forecast period) Bydgoszcz. years 1981–2010 were adopted as reference period. calculated on ba...

In this study, we used the National Centers for Environmental Prediction monthly sea surface temperature (SST) and surface air temperature (SAT) data during 1982–1994 and the National Center for Atmospheric Research surface wind stress curl data during 1982–1989 to investigate the Japan Sea SST temporal and spatial variabilities and their relations to atmospheric forcing. First, we found an asy...

The Tasman Sea has been identified as a climate hotspot and experienced several marine heatwaves (MHWs) in recent years. These events have impacted coastal regions of New Zealand (NZ), which had follow-on effect on local aquaculture industries. Advance warning extreme heat would enable these industries to mitigate potential losses. Here we present an assessment the forecast skill Australian Bur...