Nie Qiyang's repositories
CDRM
CDRMV3 -Distributed hydrological model
DTVGM
Distributed Time-Variant Gain hydrological Model
FlowDirection
DEM to DIR; DIR to ACC; ACC to Basin; ACC to Network
Hydrological-data-processing-applet
Automatic extraction of river network thresholds
M3O-Multi-Objective-Optimal-Operations
M3O is a Matlab toolbox for designing the optimal operations of multipurpose water reservoir systems
MC-CDRM
Tuning CDRMV3 parameters using Monte Carlo methods
water_environment_data_process
Code related to water environment data acquisition and processing
MODIS_statistics
Used for MODIS snow cover zoning statistics
Python-Hydrology-Tools
:droplet: This repository holds a list of open source Python packages interesting to Hydrologists
Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.