نتایج جستجو برای: 3b43v7 moderately over estimates the observed precipitation similarly

تعداد نتایج: 16152575  

پایان نامه :دانشگاه تربیت معلم - تهران - دانشکده ادبیات و علوم انسانی 1394

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Journal: :Geophysical Research Letters 2023

Passive aquatic listeners (PALs) provide high-quality, high-resolution estimates of precipitation over ocean regions, but have been underutilized as a reference data set for the evaluation satellite-based (SPEs). PALs are uniquely suited this purpose due to their 5 km surface listening area when sampling at 1 depth on drifting Argo Floats, providing rain rate spatial scale similar native grid s...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهرکرد - دانشکده ادبیات و علوم انسانی 1389

current studies in second language (l2) learning have revealed the positive role of corrective feedback (cf) in both oral and written forms in different language features. the present study was an attempt to investigate the effect of both direct and indirect written corrective feedback (wcf) on the use of grammatical collocations in l2 writing. the study also sought to examine whether the effec...

2016
Shayesteh E. Mahani Reza Khanbilvardi SHAYESTEH E. MAHANI

Generating a multi-sensor precipitation product over radar gap area is the objective of the present study. A merging approach is developed to improve Satellite-based Precipitation Estimates (SPE) by merging with ground-based Radar Rainfall (RR) estimates because remote satellites are the only source that can collect information from areas where are inaccessible by ground-based radar and/or rain...

Journal: :Remote Sensing 2021

The Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), which incorporates satellite imagery and in situ station information, is a new high-resolution long-term precipitation dataset available since 1981. This study aims to understand the performance of latest version CHIRPS depicting multiple timescale variation over Taiwan. analysis focused on examining whether better tha...

2015
Homer Strong Andrew W. Robertson Padhraic Smyth

Predicting ground rainfall from satellite estimates is useful as input for many applications, especially for areas with sparse rain gauges. We propose a predictive model based on an Additive Gaussian process (AGP) which can be viewed as the sum of a GP for the influence of the satellite estimate and a GP for the spatial distribution of rainfall between gauges. The hyperparameters for the covari...

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