Analysis Error as a Function of Observation Density for Satellite Temperature Soundings with Spatially Correlated Errors

Autor:	Kenneth H. Bergman, William D. Bonner
Rok vydání:	1976
Předmět:	Atmospheric Science Yield (engineering) Mathematical model Threshold limit value Contrast (statistics) Satellite Function (mathematics) Weather satellite Geodesy Mathematics Remote sensing Interpolation
Zdroj:	Monthly Weather Review. 104:1308-1316
ISSN:	1520-0493 0027-0644
DOI:	10.1175/1520-0493(1976)104<1308:aeaafo>2.0.co;2
Popis:	A simple numerical experiment demonstrates that if the errors in satellite-derived temperatures are correlated spatially, the error of an optimum interpolation objective analysis using such temperature data is increased. Moreover, increasing the density of such observations beyond a, threshold value (a spacing of about 400 km in the experiment) does not yield any significant improvement in analysis accuracy, in contrast to the cage of observations with spatially uncorrelated errors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::854fdc78286112b6067cc80dde332aea https://doi.org/10.1175/1520-0493(1976)104<1308:aeaafo>2.0.co Zobrazit plný text záznamu