نتایج جستجو برای: using daily precipitation data

تعداد نتایج: 5031813  

2017
Justine Ringard Frédérique Seyler Laurent Linguet

Satellite precipitation products (SPPs) provide alternative precipitation data for regions with sparse rain gauge measurements. However, SPPs are subject to different types of error that need correction. Most SPP bias correction methods use the statistical properties of the rain gauge data to adjust the corresponding SPP data. The statistical adjustment does not make it possible to correct the ...

Journal: :Remote Sensing 2017
Yandy G. Mayor Iryna Tereshchenko Mariam Fonseca-Hernández Diego A. Pantoja Jorge M. Montes

This study evaluates the precipitation product of the Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) over the Mexican region during the period between April 2014 and October 2015 using three different time scales for cumulative precipitation (hourly, daily and seasonal). Also, the IMERG data have been analyzed as a function of elevation given the rain gauges ...

2017
Hengchun Ye Eric J Fetzer Sun Wong Bjorn H Lambrigtsen

Convective precipitation-localized, short-lived, intense, and sometimes violent-is at the root of challenges associated with observation, simulation, and prediction of precipitation. The understanding of long-term changes in convective precipitation characteristics and their role in precipitation extremes and intensity over extratropical regions are imperative to future water resource managemen...

Journal: :تحقیقات جغرافیایی 0
سید ابوالفضل مسعودیان دانشگاه اصفهان اسماعیل نصرآبادی دانشگاه اصفهان حسین عساکره

in this research, the daily precipitation data of 1437 synoptic, climatic and rain gauging stations of iran in the time interval 1961- 2004 (equal to 15705 days) was utilized. using kriging geostatistics method, the data were interpolated on the pixels of 15 *15km2, so as an array to the dimension of 15705 * 7187 was formed. to identify the fittest distribution of the days with over 5.0mm preci...

Journal: :international journal of environmental research 2014
a. gupta r. vijay v.k. kushwaha s.r. wate a. shiehbeigi

numerous studies yet have been carried out on downscaling of the large-scale climate data usingboth dynamical and statistical methods to investigate the hydrological and meteorological impacts of climatechange on different parts of the world. this study was also conducted to investigate the capability of feedforwardneural network with error back-propagation algorithm to downscale the provincial...

ژورنال: علوم آب و خاک 2021

The purpose of this research was to investigate the trend of annual changes in Yazd stationchr('39')s meteorological parameters including minimum and maximum average daily temperature and average daily precipitation (1961-2005), as well as the predicted annual mean of these parameters in the three upcoming thirty years of the 2040s, 2070s and 2100s, by the SDSM model, under RCP2.6, RCP4.5, RCP8...

The aim of this study is determination of probability of occurring precipitation status under the condition temperature status and. zoning map preparation. For this purpose, the daily temperature and precipitation data from 13 synoptic stations were used in Fars province which includes at least the period of 20 years. At first were determined different scenarios of temperature and precipitation...

Journal: :اکو هیدرولوژی 0
محمد ذونعمت کرمانی عضو هیات علمی، بخش مهندسی آب، دانشگاه شهید باهنر کرمان، کرمان، ایران خاطره امیرخانی کارشناس ارشد مهندسی منابع آب، دانشگاه شهید باهنر کرمان، کرمان، ایران مجید رحیم پور عضو هیات علمی، بخش مهندسی آب، دانشگاه شهید باهنر کرمان، کرمان، ایران

in this research the chaocity of precipitation time series in daily, weekly and monthly scales in the pole-kohneh and ghourbaghestan stations located in qarah-soo watershed is investigated. in order to reassure about the absence of stochastic behavior of the time series, method of surrogate data is applied. thereafter, the aperiodicity of the time series is investigated using power spectrum ana...

2006
Y. D. Chen X. Chen C.-Y. Xu Q. Shao

Downscaling of daily precipitation with a stochastic weather generator for the subtropical region in South China Y. D. Chen, X. Chen, C.-Y. Xu, and Q. Shao Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China Department of Geosci...

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