Our possibility to appropriately detect, interpret and respond to climate-driven phenological changes depends on our ability to model and predict the changes. This ability may be hampered by non-linearity in climate-phenological relations, and by spatiotemporal variability and scale mismatches of climate and phenological data. A modeling methodology capable of handling such complexities can be ...

As water resources become further stressed due to increasing levels of societal demand, understanding the effect of climate and landuse change on various components of the water cycle is of strategic importance. In this study we used a previously developed hydrologic model of the Black Sea Catchment (BSC) to assess the impact of potential climate and landuse changes on the fresh water availabil...

What: Forty-five researchers met to discuss strategies to better understand and predict decadal climate variability. When: 12–15 October 2009 Where: St. Michaels, Maryland T he importance of decadal climate variability (DCV) research is being increasingly recognized, including by the World Climate Research Program (WCRP) and the Intergovernmental Panel on Climate Change (IPCC). An improved unde...

the present study illustrates the long-term changes in selected socioeconomic variables (population,industrial activities, settlement dispersion, and land-use) together with climate aridity trends in thriasio, the larger industrial area of greece located twenty kilometers far from athens. this region, originally devoted to agriculture, experienced fast industrial and economic development during...

BACKGROUND The National Institutes of Health (NIH) Health Care Systems Research Collaboratory (NIH Collaboratory) seeks to produce generalizable knowledge about the conduct of pragmatic research in health systems. This analysis applied the PRECIS-2 pragmatic trial criteria to five NIH Collaboratory pragmatic trials to better understand 1) the pragmatic aspects of the design and implementation o...

Abstract Modern science’s ability to produce, store, and analyze big datasets is changing the way that scientific research practiced. Philosophers have only begun comprehend changed nature of reasoning in this age “big data.” We data-focused practices biology climate modeling, identifying distinct species data-centric science: phenomena-laden phenomena-agnostic each better suited for its own do...

We present the CR-precis structure, that is a general-purpose, deterministic and sub-linear data structure for summarizing update data streams. The CR-precis structure yields the first deterministic sub-linear space/time algorithms for answering a variety of fundamental queries over update streams, such as, (a) point queries, (b) range queries, (c) finding approximate frequent items, (d) findin...

Nitrous oxide (N2O) has a global warming potential that is 300 times that of carbon dioxide on a 100-y timescale, and is of major importance for stratospheric ozone depletion. The climate sensitivity of N2O emissions is poorly known, which makes it difficult to project how changing fertilizer use and climate will impact radiative forcing and the ozone layer. Analysis of 6 y of hourly N2O mixing...