1. introduction one of the six great challenges recognized by the world climate researches program (wcrp) is the prediction and the characteristics of extreme events. the outcomes of various sources indicate that the extreme climate events have significantly increased over the last decades. trend analysis of extreme temperature indicators is of crucial importance in estimating the trend of glob...

The objective of this study was to assess the importance of stay-green on grain yield under heat and combined heat and drought stress and to identify the associated vegetative indices allowing higher throughput in order to facilitate the identification of climate resilient germplasm. Hybrids of tropical and subtropical adaptation were evaluated under heat and combined heat and drought stress in...

Desertification process as a great problem affects most of the countries in the world specially developing countries. This process has a high rate in arid and semi-arid countries such as Iran. The main objective of this research was to investigate land degradation status and desertification mapping of Kashan area. Different studies have been carried out in the world in order to assess desertifi...

Drought and water stress monitoring plays an important role in the management of water resources, especially during periods of extreme climate conditions. Here, a data fusion-based drought index (DFDI) has been developed and analyzed for three different locations of varying land use and climate regimes in Australia. The proposed index comprehensively considers all types of drought through a sel...

This paper presents an Artificial Intelligence approach for regional rainfall forecasting for Orissa state, India on monthly and seasonal time scales. The possible relation between regional rainfall over Orissa and the large scale climate indices like El-Niño Southern Oscillation (ENSO), EQUitorial INdian Ocean Oscillation (EQUINOO) and a local climate index of Ocean-Land Temperature Contrast (...

We investigate the links between multidecadal changes in extreme sea levels (expressed as 100 year return water levels (RWLs)) along the United States coastline and large-scale climate variability. We develop different sets of simple and multiple linear regression models using both traditional climate indices and tailored indices based on nearby atmospheric/oceanic variables (winds, pressure, s...

1. The current study examined the effect of broad-scale climate and individual-specific covariates on nest survival in smallmouth bass over a 20-year period. 2. Large-scale climate indices [winter North Atlantic Oscillation (NAO) and winter El Niño/Southern Oscillation (ENSO)] and body size of parental males were important covariates in nest survival along with nest age and a quadratic trend in...

Afforestation on reclaimed mining areas has high ecological and economic importance. However, ecosystems established on post-mining substrate can become vulnerable due to climate variability. We used tree-ring data and dendrochronological techniques to study the relationship between climate variables and annual growth of Scots pine (Pinus sylvestris L.) growing on reclaimed open cast oil shale ...

11 A dynamical wind-wave climate simulation covering the North Atlantic Ocean and 12 spanning the whole 21 century under the A1B scenario has been compared with a set 13 of statistical projections using atmospheric variables or large scale climate indices as 14 predictors. As a first step, the performance of all statistical models has been evaluated 15 for the present-day climate; namely they h...

A common research task in dendroclimatology is identification of the monthly or seasonal climate signal in an annual time series of indices of ring width. A MATLAB function, seascorr, is introduced as a general statistical tool for identifying the signal. Monthly time series of primary and secondary climate variables are input to the function along with a tree-ring time series and specification...