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cxzhangqi's Projects

metrics_natl60 icon metrics_natl60

A set of functions to ease the intercomparison exercise between reconstruction/prediction methods applied to NATL60 dataset

mf-analyzer icon mf-analyzer

This is MF-analyzer software, INRIA branch. It does multiscale/multifractal signal analysis -- the microcanonical way -- at multiple dimensions. Extra: a signal reconstruction algorithm that is at the core of UPM method.

microinverse icon microinverse

MicroInverse is a Python package for inversion of a transport operator from tracer data

microinverse_paper icon microinverse_paper

Repository hosting the python code used for analysis and figures in Nummelin et al (2018)

mld-project icon mld-project

Repository with routines to manipulate the ARMOR 3D dataset, which contains mixed layer depth values.

mlm icon mlm

Mixed layer model for atmospheric boundary layer.

mlr_ssta icon mlr_ssta

A tutorial to performance multiple linear regression in MATLAB.

mod_plankton_model icon mod_plankton_model

Modules for the Lagrangian Plankton Model (LPM) integrated on the PALM LES model in the ocean mixed layer

model2roms icon model2roms

Model2roms is a Python toolbox for creating forcing files required to run Regional Ocean Modeling System (ROMS)

modis_sst icon modis_sst

Processing code for MODIS sea surface temperatures to estimate surface and subsurface ocean temperatures near Sermilik Fjord

mpe icon mpe

Mode parabolic equations, their solutions and test cases

mpi_waste icon mpi_waste

two-dimensional finite difference solution of seismic exploration

ms-anda icon ms-anda

Multi-scale Analog Data Assimilation, applications to ocean remote sensing

multilc icon multilc

Applying a Legendre collocation method based on domain decomposition for calculating underwater sound propagation in a horizontally stratified environment

natl60 icon natl60

NATL60 is a set of libraries to deal with NATL60 maps and both nadir/swot NATL60-based datasets

neuralnetworks2s icon neuralnetworks2s

Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California'

nm-ct_matlab icon nm-ct_matlab

The Matlab code of "A Chebyshev-Tau spectral method for normal modes of underwater sound propagation with a layered marine environment".

nn icon nn

tools and example for neural predictor of ocean surface dynamics

nsfds2 icon nsfds2

Navier-stokes solver for acoustics

oases icon oases

class to handle the OASES propagation model

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