Pinned Repositories
2.680-Marine-Vehicle-Autonomy
This course covers basic topics in autonomous marine vehicles, focusing mainly on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in the ocean environments, autonomously adapting to the environment for improved sensing performance. It will introduce students to underwater acoustic communication environment, as well as the various options for undersea navigation, both crucial to the operation of collaborative undersea networks for environmental sensing. Sensors for acoustic, biological and chemical sensing by underwater vehicles and their integration with the autonomy system for environmentally adaptive undersea mapping and observation will be covered. The subject will have a significant lab component, involving the use of the MOOS-IvP autonomy software infrastructure for developing integrated sensing, modeling and control solutions for a variety of ocean observation problems, using simulation environments and a field testbed with small autonomous surface craft and underwater vehicles operated on the Charles River.
2020a_IMT_SSH_mapping_NATL60
A student challenge on both mapping of satellite altimeter sea surface height data and its dynamical update through web portals for scientific teams interested in the data challenge. Organisation: IMT-Atlantique, MEOM@IGE, Ocean-Next and CLS.
2020a_SSH_mapping_NATL60
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
2021_MSSP
This repository contains the established models discussed in the paper: "A Physics-constrained Deep Learning Based Approach for Acoustic Inverse Scattering Problems"
2L_QG_EOF_DMD
Deterministic and stochastic (projector operator stochastic parameterization) 2-layer QG model
3D_Parabolic_Equation_CUDA
Acoustic Parabolic Equation model with CUDA acceleration.
ML-Applied-for-Physics
paraPropPython
split-step parabolic equation solver for in-ice radio propagation
Rafelski_LandOceanModel
Code for land uptake of CO2 and ocean uptake of CO2. Original author: Lauren Rafelski
transfer-learning-soil-moisture-prediction
Improved Daily SMAP Satellite Soil Moisture Prediction over China using deep learning model with transfer learning
cxzhangqi's Repositories
cxzhangqi/transfer-learning-soil-moisture-prediction
Improved Daily SMAP Satellite Soil Moisture Prediction over China using deep learning model with transfer learning
cxzhangqi/paraPropPython
split-step parabolic equation solver for in-ice radio propagation
cxzhangqi/CalAlti
Calibration of Satellite Altimeter using the tide gauge data as well as auxiliary models
cxzhangqi/co2-data
Data on CO2 and greenhouse gas emissions by Our World in Data
cxzhangqi/CoTeDe
Quality Control of Oceanographic Data
cxzhangqi/DIMES_eddy_wave_interactions
Code related to the paper 'Observed eddy-internal wave interactions in the Southern Ocean'.
cxzhangqi/DynamicPrediction
Trying to predict dynamic time stepping of an ocean model based on previous state.
cxzhangqi/gonzag
Interpolation of gridded 2D ocean/atmosphere GCM data onto 1D satellite tracks + spectral analysis
cxzhangqi/hyo2_soundspeed
A package for sound speed profiles
cxzhangqi/Matrix_LSTM
Linking tropical cyclones with sea surface temperatures
cxzhangqi/mineral-prediction
Mineral prediction from eight classes using transfer learning
cxzhangqi/model2roms
Model2roms is a Python toolbox for creating forcing files required to run Regional Ocean Modeling System (ROMS)
cxzhangqi/MultiLC
Applying a Legendre collocation method based on domain decomposition for calculating underwater sound propagation in a horizontally stratified environment
cxzhangqi/NM-CT_MATLAB
The Matlab code of "A Chebyshev-Tau spectral method for normal modes of underwater sound propagation with a layered marine environment".
cxzhangqi/Ocean-Nav
This repository contains the development of two acoustic variables for ocean data - Potential sub-surface channel and Slope of SSP (Sound Speed Profile)
cxzhangqi/ocean_co2
cxzhangqi/OceanParcels_Lyapunov
Calculating Finite Time Lyapunov Exponents from OceanParcels outputs.
cxzhangqi/ohw21-proj-bioacoustics
cxzhangqi/ohw21-proj-deep-currents
Estimating deep currents from surface satellite data
cxzhangqi/pyCOARE
Initial Python implementation of COARE air/sea flux algorithms developed at NOAA Physical Sciences Lab
cxzhangqi/pySeaFlux
Calculation of air-sea fluxes - for now only CO2
cxzhangqi/QG_tracer_advection
Passive tracer flow using quasigeostrophic flow
cxzhangqi/RegressionModelOceanTemp
Code relating to developing a regression model of ocean temperature - placed here in a public dir for paper publication.
cxzhangqi/simpegEM1D
Frequency and time domain EM forward modeling and inversion program
cxzhangqi/SMPE
Two spectral methods for solving range-independent wide-angle parabolic equation model in ocean acoustics
cxzhangqi/SST_Forecasting_with_DNNs
Sea Surface Temperature Forecasting with Ensemble of Stacked Deep Neural Networks
cxzhangqi/Time-Series-Forecasting
Forecasting sea surface temperatures of Pacific Ocean using ARIMA model in Python.
cxzhangqi/ulmo
OOD on SST data
cxzhangqi/UnderwaterAcoustics.jl
Julia toolbox for underwater acoustic modeling
cxzhangqi/WavePart
Set of Matlab(r) functions for the partition of directional wave spectra to its wind and different swell components. The partitions are initially identified using a watershed defining algorithm and then are modified following mostly the method described in Hanson and Phillips (2001, Automated Analysis of Ocean Surface Directional Wave Spectra. Journal of Oceanic and Atmospheric Technology, 18, 278-293).