نتایج جستجو برای: multi step precipitation

تعداد نتایج: 766772  

Journal: :Remote Sensing 2015
Bin Yong Bo Chen Yang Hong Jonathan J. Gourley Zhe Li

The impact of one or two missing passive microwave (PMW) input sensors on the end product of multi-satellite precipitation products is an interesting but obscure issue for both algorithm developers and data users. On 28 January 2013, the Version-7 TRMM Multi-satellite Precipitation Analysis (TMPA) products were reproduced and re-released by National Aeronautics and Space Administration (NASA) G...

1996
JING PENG RONALD J. WILLIAMS

This paper presents a novel incremental algorithm that combines Q-learning, a well-known dynamic programming-based reinforcement learning method, with the TD() return estimation process, which is typically used in actor-critic learning, another well-known dynamic programming-based reinforcement learning method. The parameter is used to distribute credit throughout sequences of actions, leading ...

2012
Tomás Crivelli Pierre-Henri Conze Philippe Robert Matthieu Fradet Patrick Pérez

The aim of this work is to estimate dense displacement fields over long video shots. Put in sequence they are useful for representing point trajectories but also for propagating (pulling) information from a reference frame to the rest of the video. Highly elaborated optical flow estimation algorithms are at hand, and they were applied before for dense point tracking by simple accumulation, howe...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه یزد - دانشکده جغرافیا 1392

the west of esfahan province, iran, is one of the most important agricultural areas throughout the country due to the climate variability and life-giving water of zayanderood river. rice is one of the major and economic crops in this area. the most important climatic elements in agricultural activities which should be considered include temperature, relative humidity, precipitation and wind. so...

2009
P. J. Starks D. N. Moriasi

Precipitation data sets representing four spatial resolutions were used to evaluate the performance of the Soil and Water Assessment Tool (SWAT) on the basis of reproducing measured streamflow, and to show differences in model parameters when different precipitation data sets are used to calibrate the model. The experiment was conducted on the 786 km2 Ft. Cobb Reservoir experimental watershed (...

2006
M. Kobold

The standard conceptual HBV model was originally developed with daily data and is normally operated on daily time step. But many floods in Slovenia are usually flash floods as result of intense frontal precipitation combined with orographic enhancement. Peak discharges are maintained only for hours or even minutes. To use the HBV model for flash flood forecasting, the version of HBV-96 has been...

2005
P. Alessi I. Kikic F. Vecchione T. Gamse

The Supercritical Anti-Solvent precipitation (SAS) technique was invested in order to obtain the precipitation of a beta receptor drug, sotalol hydrochloride, from two different organic solvents (methanol and ethanol). In preliminary studies the solubility of sotalol hydrochloride in CO2 was determined and with the SAS batch apparatus the precipitation pressure for different drug concentration ...

Journal: :The Ulster Medical Journal 1968

2004
Iosif Bena Nicholas P. Warner

We construct a new harmonic family: dielectric flow solutions with maximal supersymmetry in eleven-dimensional supergravity. These solutions are asymptotically AdS4 ×S7, while in the infra-red the M2 branes are dielectrically polarized into M5 branes. These solutions are holographically dual to vacua of the mass deformed theory on M2 branes. They also provide an interesting insight on the super...

2014
Zheng Tracy Ke Jiashun Jin Jianqing Fan

As mentioned before, the success of CASE relies on two noteworthy properties: the Sure Screening (SS) property and the Separable After Screening (SAS) property. In this section, we discuss the two properties in detail, and illustrate how these properties enable us to decompose the original regression problem to many small-size regression problems which can be fit separately. We then use these p...

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