On some aspects of objective analysis of humidity over indian region by the optimum interpolation method

1987 ◽  
Vol 4 (3) ◽  
pp. 332-342 ◽  
Author(s):  
S. K. Sinha ◽  
D. R. Talwalkar ◽  
S. Rajamani
Keyword(s):  
Interpolation Method ◽  
Indian Region ◽  
Objective Analysis ◽  
Optimum Interpolation

scholarly journals Application of Sasaki's numerical variational technique to the analysis of height and wind fields over Indian region

MAUSAM ◽  
2021 ◽  
Vol 49 (1) ◽  
pp. 1-10
Author(s):  
S. K. SINHA ◽  
S. G. NARKHEDKAR ◽  
S. RAJAMANI
Keyword(s):  
Variational Method ◽  
Geopotential Height ◽  
Variational Analysis ◽  
Indian Region ◽  
Objective Analysis ◽  
Variational Technique ◽  
Analysis Method ◽  
Wind Fields ◽  
Optimum Interpolation ◽  
Analysis Technique

An objective analysis method based on Sasaki's numerical variational analysis technique has been taken up for the analysis of geopotential height and wind over the Indian region. The univariate optimum interpolation (UOI) method is used to generate the initial or input fields. These fields are then adjusted by the variational method. A study of this method over Indian and adjoining region for 850, 700, 500, 300 and 200 hPa levels is made from 4 to 8 July 1979 and the analyses obtained using this method are compared with the FGGE analyses.

The Impact of Synoptic Observing and Analysis Systems on Flow Pattern Forecasts

1976 ◽  
Vol 57 (10) ◽  
pp. 1225-1240 ◽  
Author(s):  
Norman A. Phillips
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
Interpolation Method ◽  
Forecast Error ◽  
Observational Error ◽  
Optimum Interpolation ◽  
Error Covariance ◽  
Analysis Scheme ◽  
Observational Errors ◽  
The Impact

A linear dynamical prediction model is combined with a linear analysis scheme to give a formula for the expected squared forecast error, as a function of space and time, given a knowledge of observational error covariance and spectrum of the true field. The formula is applied with a two-layer geostrophic model to estimate the maximum impact of tropospheric temperatures derived from satellite radiances over oceanic areas on the accuracy of 500 mb forecasts over North America. The results show a positive impact if the observations are analyzed by an unrealistically efficient optimum interpolation method, but they show a negative impact at all but the smallest satellite error values if the observations are analyzed by a method that ignores observational errors. Eight conclusions are reached concerning routine numerical forecasts and the First GARP Global Experiment.

Impact of Monex-79 data on the objective analysis of the wind field over the Indian region

1982 ◽  
Vol 120 (3) ◽  
pp. 422-436 ◽  
Author(s):  
S. Rajamani ◽  
D. R. Talwalkar ◽  
P. U. Upasani ◽  
D. R. Sikka
Keyword(s):  
Wind Field ◽  
Indian Region ◽  
Objective Analysis

scholarly journals A multilevel dataset of microplastic abundance in the world’s upper ocean and the Laurentian Great Lakes

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Atsuhiko Isobe ◽  
Takafumi Azuma ◽  
Muhammad Reza Cordova ◽  
Andrés Cózar ◽  
Francois Galgani ◽  
...  
Keyword(s):  
Great Lakes ◽  
Interpolation Method ◽  
Vertical Mixing ◽  
Laurentian Great Lakes ◽  
Upper Ocean ◽  
Gridded Data ◽  
Research Projects ◽  
The Public ◽  
Optimum Interpolation ◽  
Abundance Data

AbstractA total of 8218 pelagic microplastic samples from the world’s oceans were synthesized to create a dataset composed of raw, calibrated, processed, and gridded data which are made available to the public. The raw microplastic abundance data were obtained by different research projects using surface net tows or continuous seawater intake. Fibrous microplastics were removed from the calibrated dataset. Microplastic abundance which fluctuates due to vertical mixing under different oceanic conditions was standardized. An optimum interpolation method was used to create the gridded data; in total, there were 24.4 trillion pieces (8.2 × 104 ~ 57.8 × 104 tons) of microplastics in the world’s upper oceans.

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