Systematic and random error components in satellite precipitation data sets
نویسندگان
چکیده
منابع مشابه
Systematic and random error components in satellite precipitation data sets
[1] This study contributes to characterization of satellite precipitation error which is fundamental to develop uncertainty models and bias reduction algorithms. Systematic and random error components of several satellite precipitation products are investigated over different seasons, thresholds and temporal accumulations. The analyses show that the spatial distribution of systematic error has ...
متن کاملDissecting random and systematic differences between noisy composite data sets
Composite data sets measured on different objects are usually affected by random errors, but may also be influenced by systematic (genuine) differences in the objects themselves, or the experimental conditions. If the individual measurements forming each data set are quantitative and approximately normally distributed, a correlation coefficient is often used to compare data sets. However, the r...
متن کاملThe systematic error caused by random errors through data reduction
During the evaluation of the continuous measurement signal of analytical instruments by a digital computer, the signal is sampled periodically, and the analytical information [1] is computed from this sequence of discrete values representing the signal by the procedure called data reduction [2]. For example, retention data, peak heights and/or peak areas are produced from the raw discretized si...
متن کاملEvaluation of Precipitation Products of TRMM Satellite in Precipitation and Erosion Rate Monitoring across Iran
Extended abstract 1- Introduction In order to calculate the erosive power of rainfall, high-resolution precipitation data are necessary for rainfall erosion evaluation. However, collecting the required data on kinetic energy of the rainfall particles and precipitation rates with short-term temporal resolution is a time-intensive task, particularly in developing countries, and the collecte...
متن کاملEvaluation CMIP5 Models In Order to Simulate Rainfall by using a Combination of Precipitation data Network Aphrodit and Satellite Precipitation Persiann-cdr In Khuzestan Province
One of the most important Limitation General Circulation Models , Large scale are being simulation of climatic variables. So should With Various method are downscaled, The ability to have identified a study area. Choose a suitable GCM model for the study area Very important role In the simulation parameter (precipitation) is intended for future. In this research of CMIP5 Models Contains BCC-CS...
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: Geophysical Research Letters
سال: 2012
ISSN: 0094-8276
DOI: 10.1029/2012gl051592