- HYPERSPIN TUTORIAL 2018 HOW TO
- HYPERSPIN TUTORIAL 2018 SERIES
HYPERSPIN TUTORIAL 2018 HOW TO
Simple thought experiment – how the height and speed of satellite determined brief introduction of applications of ocean color imagery an overview of ocean color image processing steps how to relate sea surface reflectance to in-water information – simple reflectance model and inherent optical properties.įundamentals of RS (Microwave) and satellite radar altimetry. An overview of sea surface temperature retrieval methods from near-polar orbiting and geostationary satellites with emphasis on multi-channel SST (MCSST), nonlinear SST (NLSST), in-situ temperature measurements for SST retrieval procedure, and characteristics of SST errors. Accessing data and model output for a short term Bayesian forecasting exercise (to be evaluated and scored with possible forecasting competition).įundamentals of Infrared Remote Sensing – an overview of SST Retrieval. An overview of data assimilation methods used in research and operations (optimum interpolation, Variational Analysis, Bayesian methods) types of data assimilated and common problems with their assimilation and integration, with emphasis on challenges posed by Satellite observations evaluating, validating, and scoring forecasts. Satellite data assimilation – an overview HYPERSPIN TUTORIAL 2018 SERIES
Then, students will generate their own time series and share their results during a group discussion. I will discuss various ocean colour and climate time series, some derived using NASA’s Giovanni tool.Using several satellite sources for better understanding the spatial and temporal variations of surface parameters (matlab session). Working with data at selected regional and/or local scales.
Using online facilities for displaying and investigating satellite observations at various spatial and temporal scales.Selection of dedicated sites providing satellite data freely.
Accessing data from scatterometers, altimeters, radiometers, and SAR.Surface wind and related parameters derived from the microwave satellite sensors Principles and applications of scatterometry Tentative Time Table (30th October – 3rd November 2018):
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