Advances in our fundamental understanding of the physical climate system provided the necessary scientific underpinnings for the routine production of reliable seasonal climate forecasts and ultimately, the birth of the International Research Institute for Climate and Society (IRI). While recognizing that the successful adoption of climate information into various decision-making settings requi...

Genetic systems are of great prevalence in nature. They are characterized by interrelation between three sequential functional statuses of complex biological systems: Past, Present and Future; and differ from occasional processes by an After-effect. Traditionally the models of genetic systems are used in Biology for description of Genetic Heredity and Genetic Variability. At the present work th...

[1] The seasonal cycle and intraseasonal variability of the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP) reanalysis surface winds over the Indian Ocean (IO) are assessed by comparing them with in situ surface observations from two moored buoys and winds from the SeaWinds scatterometer on the QuikSCAT satellite. The buoys are located in the centra...

Seasonal cycles in the mixing ratios of tropospheric nitrous oxide (N2O) are derived by detrending longterm measurements made at sites across four global surface monitoring networks. The detrended monthly data display large interannual variability, which at some sites challenges the concept of a “mean” seasonal cycle. In the Northern Hemisphere, correlations between polar winter lower stratosph...

The vast majority of variability in the instrumental surface temperature record is at annual frequencies. Systematic changes in the yearly Fourier component of surface temperature have been observed since the midtwentieth century, including a shift toward earlier seasonal transitions over land. Here it is shown that the variability in the amplitude and phase of the annual cycle of surface tempe...

In my opinion, the main handicap of this study is an inadequate dataset used for the stated objectives. The authors are trying to describe a seasonal signal, as well as discern a seasonal signal from short-term intra-seasonal decay events, using data from a single year. The (roughly) bi-monthly sampling regime is inadequate to capture meaningful data on the sub-seasonal events. The records capt...

Seasons are the complex nonlinear response of the physical climate system to regular annual solar forcing. There is no a priori reason why they should remain fixed/invariant from year to year, as is often assumed in climate studies when extracting the seasonal component. The widely used econometric variant of Census Method II Seasonal Adjustment Program (X-11), which allows for year-to-year var...

In the presented methodology, multitemporal Landsat images were used to develop enhanced information about complex assemblages of vegetation and patterns of seasonal land cover variability, thereby facilitating improved land use and land cover (LULC) classification of urbanized areas among sensitive environments along the Mississippi Gulf Coast. For Landsat-5 and Landsat-7 images acquired for l...

[1] A near-global ocean state estimate over the period 1992–2004 is used to study the mean seasonal cycle in sea level z. The state estimate combines most available observations, including all the altimetric missions, with a general circulation model in an optimization procedure. The annual cycle tends to be larger than the semi-annual one, except in tropical regions. For global mean z, annual ...

Seasonal fluctuations of plant biomass and photosynthesis are key features of the Earth system because they drive variability of atmospheric CO(2), water and nutrient cycling, and food supply to consumers. There is no inventory of phytoplankton seasonal cycles in nearshore coastal ecosystems where forcings from ocean, land and atmosphere intersect. We compiled time series of phytoplankton bioma...