Ensemble reconstruction of spatio-temporal extreme low-flow events in France since 1871
نویسندگان
چکیده
منابع مشابه
Forecast Oriented Classification of Spatio-Temporal Extreme Events
In complex dynamic systems, accurate forecasting of extreme events, such as hurricanes, is a highly underdetermined, yet very important sustainability problem. While physics-based models deserve their own merits, they often provide unreliable predictions for variables highly related to extreme events. In this paper, we propose a new supervised machine learning problem, which we call a forecast ...
متن کاملExplaining Optical Flow Events with Parameterized Spatio-Temporal Models
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. afine). These generative spatio-temporal models may be non-linear or stochastic and are event-specijic in that they characterize a particular type of object motion (e.g. sitting or walking). Within a Bayesian framework we seek the appropriate model, phase,...
متن کاملRecognition of Visual Events using Spatio-Temporal Information of the Video Signal
Recognition of visual events as a video analysis task has become popular in machine learning community. While the traditional approaches for detection of video events have been used for a long time, the recently evolved deep learning based methods have revolutionized this area. They have enabled event recognition systems to achieve detection rates which were not reachable by traditional approac...
متن کاملSpatio - Temporal Modelling of Extreme Storms
A flexible spatio-temporal model is implemented to analyse extreme extra-tropical cyclones objectively identified over the Atlantic and Europe in 6-hourly re-analyses from 1979–2009. Spatial variation in the extremal properties of the cyclones is captured using a 150 cell spatial regularisation, latitude as a covariate, and spatial random effects. The North Atlantic Oscillation (NAO) is also us...
متن کاملVarious Events Involved in Spatio-temporal Databases
In general, time has two kinds of semantic, i.e., time-scale semantic and event-sequence semantic (Shu Hong, 1998). In spatio-temporal databases (STDB), time-scale semantic refers to the time positioning of geographical objects, and event-sequence semantic to spatial and thematic change description. Here event and change are alternatively termed without further meaning distinction. Almost a dec...
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: Hydrology and Earth System Sciences
سال: 2017
ISSN: 1607-7938
DOI: 10.5194/hess-21-2923-2017