Spatio-temporal trends in fire weather in the French Alps
نویسندگان
چکیده
منابع مشابه
Spatio-temporal analysis of diurnal air temperature parameterization in Weather Stations over Iran
Diurnal air temperature modeling is a beneficial experimental and mathematical approach which can be used in many fields related to Geosciences. The modeling and spatio-temporal analysis of air Diurnal Temperature Cycle (DTC) was conducted using data obtained from 105 synoptic stations in Iran during the years 2013-2014 for the first time; the key variable for controlling the cosine term i...
متن کاملVisual Analysis of Spatio-Temporal Data: Applications in Weather Forecasting
Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to...
متن کاملSpatio-Temporal Parameters' Changes in Gait of Male Elderly Subjects
Objectives: The purpose of this study was to compare spatio-temporal gait parameters between elderly and young male subjects. Methods & Materials: 57 able-bodied elderly (72±5.5 years) and 57 healthy young (25±8.5 years) subjects participated in this study. A four segment model consist of trunk, hip, shank, and foot with 10 reflective markers were used to define lower limbs. Kinematic data c...
متن کاملترجمه کتاب روندهای اساسی در علم زبان the main trends in the science of language رومن یاکوبسن roman jakobson
رومن یاکوبسن (متولد 1896) یکی از نوابغ زبانشناسی مکتب پراگ است او به کمک یار همیشگی خود نیکولای تروبتسکوی (1890-1938) در تعیین خط مشی نهضت ساختگرایی اروپای شرق از همه موثرتر بودند. مهمترین تحقیقات این دو زبان شناسی در دهه قبل از جنگ جهانی دوم انجام گرفت . در زمان جنگ ، بواسطه اشغال چکسلواکی توسط آلمانها، پژوهش این اساتید متوقف گردید. یا کوبسن پس از جنگ کار خود را دنبال کرد و در زمینه واج شناسی ...
15 صفحه اولSpatio-temporal feature selection for black-box weather forecasting
In this paper, a data-driven modeling technique is proposed for temperature forecasting. Due to the high dimensionality, LASSO is used as feature selection approach. Considering spatio-temporal structure of the weather dataset, first LASSO is applied in a spatial and temporal scenario, independently. Next, a feature is included in the model if it is selected by both. Finally, Least Squares Supp...
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: Science of The Total Environment
سال: 2017
ISSN: 0048-9697
DOI: 10.1016/j.scitotenv.2017.04.027