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Altimetry-observed semi-annual cycle in the South China Sea: Real signal or alias of K1 tidal error?
sea level semi-annual cycle satellite altimetry South China Sea
2009/11/17
There have been a number of applications of satellite altimetry to seasonal and interannual sea level variability in the South China Sea. However, these applications usually exclude shallow waters alo...
Detecting unstable structures and controlling error growth by assimilation of standard and adaptive observations in a primitive equation ocean model
unstable structures error growth standard and adaptive observations primitive equation ocean model
2009/11/9
Oceanic and atmospheric prediction is based on cyclic analysis-forecast systems that assimilate new observations as they become available. In such observationally forced systems, errors amplify depend...
Effect of Sampling Rate and Random Position Error on Analysis of Drifter Data
Sampling Rate Drifter Data Random Position Error
2009/2/13
The central question discussed here is how the rate at which drifter positions are determined and the position errors affect the calculation of velocity, acceleration and velocity gradients such as di...
The Effects of Bias Error and System Noise on Parameters Computed from C, T, P and V Profiles
Bias Error V Profiles System Noise
2009/2/11
The development of high-resolution profiling instruments has made possible the computation of quantities such as the stability parameter N2 and the Richardson number Ri over scales of less than a mete...
Normal Monthly Wind Stress Over the World Ocean with Error Estimates
Monthly Wind Stress World Ocean Error Estimates
2009/2/5
Over 35 million surface observations covering the world ocean from 1870–1976 have been processed for the purpose of calculating monthly normals and standard errors of the eastward and northward compon...
Dynamical Properties of Error Statistics in a Shallow-Water Model
model information data information Shallow-Water Model
2008/12/19
Numerical ocean diagnoses and predictions rely on two types of information: model information and data information. Sequential estimation theory shows that the most probable state is a linear combinat...
The Dynamics of Error Growth and Predictability in a Model of the Gulf Stream. Part II: Ensemble Prediction
Error Growth Gulf Stream Ensemble Prediction
2008/7/10
For any forecasting system, the ability to reliably estimate the skill of a forecast in advance (i.e., at the time the forecast is issued) is clearly desirable. In this paper the potential of ensemble...
The Dynamics of Error Growth and Predictability in a Model of the Gulf Stream. Part I: Singular Vector Analysis
Error Growth Gulf Stream
2008/7/8
The recently developed ideas of generalized linear stability theory for dynamical systems are applied to time evolving flows of the Gulf Stream using a quasigeostrophic numerical model. The potential ...
Assessing the error in photosynthetic properties determined with Fast Repetition Rate fluorometry
Assessing the error photosynthetic properties Fast Repetition Rate fluorometry
2014/5/22
Fast repetition rate (FRR) fluorometry is an optical technique for estimating photosynthetic properties of phytoplankton from measurements of variable fluorescence yield. I determined the minimum erro...