SERVICIO DE ÁNALISIS DE NUTRIENTES , REF 603
Period:
from 2016 to 2016
Funding company:
In contrast with scatterometer wind data, NWP models do not well resolve (among others) the mesoscale sea surface wind flow under increased wind variability conditions, such as in the vicinity of low-pressure centers, frontal lines, and moist convection. In this project, several important issues are addressed in order to improve the impact of scatterometer data assimilation into global and regional NWP models, including: wind bias correction, model error structure functions and situation-dependent Observation/Background error estimation, appropriate thinning strategy, and improved scatterometer wind quality control.