Improving Spaceborne GNSS-R Algal Bloom Detection with Meteorological Data

Spaceborne Receiver Design for Scatterometric GNSS Reflectometry

Retinoblastoma protein: Combating algal bloom

The discovery of a homolog of the retinoblastoma protein (Rb) in a single-celled eukaryote--the alga Chlamydomonas--promises new and surprising insights into Rb's function in cell-cycle regulation.

Change Detection in Meteorological Data

Change detection is an important task in signal analysis, data mining, and image processing. In meteorology research, change is frequently associated with severe weather events or climate anomalies. Detecting change is crucial for weather and climate analysis. In this paper, we propose a wavelet based approach to analyze short term changes in the global meteorological data. We design a suite of...

Record-setting algal bloom in Lake Erie caused by agricultural and meteorological trends consistent with expected future conditions.

In 2011, Lake Erie experienced the largest harmful algal bloom in its recorded history, with a peak intensity over three times greater than any previously observed bloom. Here we show that long-term trends in agricultural practices are consistent with increasing phosphorus loading to the western basin of the lake, and that these trends, coupled with meteorological conditions in spring 2011, pro...

Prediction of Algal Bloom Using Genetic Programming

In this study an attempt is made to mathematically model and predict algal blooms in Tolo Harbour (Hong Kong) using Genetic Programming (GP). Chlorophyll plays a vital role and is taken as a measure of algal bloom biomass and 8 other variables are taken as input for its prediction. It is observed that GP evolves multiple models with almost same values of errors – of – measure. Previous studies ...