Pinned Repositories
bayesian_parameter_estimation
Markov Chain Monte Carlo (MCMC) Bayesian parameter estimation using pymc3.
BayesianLinearRegression
Python implementation of methods described in "Pattern Recognition and Machine Learning" by Christopher Bishop to perform Bayesian Linear regression on synthetic data.
dvm-dos-tem
A process based Dynamic Vegetation, Dynamic Organic Soil, Terrestrial Ecosystem Model.
HDCM
Numerical air quality models, such as the Community Multiscale Air Quality (CMAQ) system, play a critical role in characterizing pollution levels at fine spatial and temporal scales. The model outputs, however, tend to systematically over- or under-estimate the real pollutant concentrations. In this study, we propose a Bayesian hierarchical model to calibrate large-scale grid-level CMAQ model outputs using point-level observations from sparsely located monitoring stations. We employ a dynamic approach to describe the complex spatiotemporal data structure and develop a flexible uncertainty quantification to account for the movement of air pollution. In addition, several techniques including variational Bayes and ensemble Kalman smoother are adopted to speed up the entire calibration process. We apply the proposed approach to calibrate CMAQ model outputs for China's Beijing-Tianjin-Hebei region. In contrast to existing methods, our model captures space-time interactions, produces more accurate calibration results and operates at a higher computational efficiency. The method is available in the R package stBase.
LPJmL
Welcome to the central open-source repository of LPJmL at PIK. You are free to download the code under the AGPLv3 license, see LICENSE file. Have fun. Please note that there is absolutely no support outside agreed collaborations. We also don't provide any input data, which is derived from other sources.
MannKendall_Sen_Rainfall
Mann Kendall Test and Sen's Slope Esitmate on Daily Precipitation Raster Data
MCMC
Implementation of Metropolis Hastings algorithm for performing Markov chain Monte Carlo for parameter estimation
PyFluxPro
Python 3 version of PyFluxPro, a program for quality control, gap filling and partitioning of flux tower data.
pyMannKendall
A python package for non parametric Mann Kendall family of trend tests.
rpmodel
An R implementation of the P-model.
yusheng-wang's Repositories
yusheng-wang/dvm-dos-tem
A process based Dynamic Vegetation, Dynamic Organic Soil, Terrestrial Ecosystem Model.
yusheng-wang/HDCM
Numerical air quality models, such as the Community Multiscale Air Quality (CMAQ) system, play a critical role in characterizing pollution levels at fine spatial and temporal scales. The model outputs, however, tend to systematically over- or under-estimate the real pollutant concentrations. In this study, we propose a Bayesian hierarchical model to calibrate large-scale grid-level CMAQ model outputs using point-level observations from sparsely located monitoring stations. We employ a dynamic approach to describe the complex spatiotemporal data structure and develop a flexible uncertainty quantification to account for the movement of air pollution. In addition, several techniques including variational Bayes and ensemble Kalman smoother are adopted to speed up the entire calibration process. We apply the proposed approach to calibrate CMAQ model outputs for China's Beijing-Tianjin-Hebei region. In contrast to existing methods, our model captures space-time interactions, produces more accurate calibration results and operates at a higher computational efficiency. The method is available in the R package stBase.
yusheng-wang/LPJmL
Welcome to the central open-source repository of LPJmL at PIK. You are free to download the code under the AGPLv3 license, see LICENSE file. Have fun. Please note that there is absolutely no support outside agreed collaborations. We also don't provide any input data, which is derived from other sources.
yusheng-wang/MannKendall_Sen_Rainfall
Mann Kendall Test and Sen's Slope Esitmate on Daily Precipitation Raster Data
yusheng-wang/pyMannKendall
A python package for non parametric Mann Kendall family of trend tests.
yusheng-wang/rpmodel
An R implementation of the P-model.
yusheng-wang/SoilHydrology-Temperature
Model for Soil Hydrology and Soil Temperature
yusheng-wang/TEMIR
Terrestrial Ecosystem Model in R
yusheng-wang/VIC
The Variable Infiltration Capacity (VIC) Macroscale Hydrologic Model
yusheng-wang/BayesianFramework
A framework for Bayesian model selection (BMS) and Bayesian model Averaging (BMA).
yusheng-wang/container-clm
Docker container for Community Land Surface Model CLM5.0
yusheng-wang/CryoGrid
This is the community version of CryoGrid, a numerical model to investigate land surface processes in permafrost environments.
yusheng-wang/DA-tutorials
Course on data assimilation (DA)
yusheng-wang/DAPPER
Data Assimilation with Python: a Package for Experimental Research
yusheng-wang/downscale
Simple Delta-Downscaling for SNAP Climate Data
yusheng-wang/ECOSYS
The ECOSYS model for terrestrial ecosystem biogeochemistry
yusheng-wang/elapid
Convenience functions to support species distribution modeling, including a python wrapper for MaxEnt
yusheng-wang/enkf-c
EnKF code for DA with large-scale layered geophysical models.
yusheng-wang/gpp-co2
Code to reproduce the analysis and figures in 'A constraint on historic growth in global photosynthesis due to increasing CO2' Keenan et al. 2021. Nature https://www.nature.com/articles/s41586-021-04096-9
yusheng-wang/mgtwr
yusheng-wang/pestpp
tools for scalable and non-intrusive parameter estimation, uncertainty analysis and sensitivity analysis
yusheng-wang/prec_sensitivity
yusheng-wang/pyEOF
pyEOF: Empirical Orthogonal Function (EOF) analysis and Rotated EOF analysis in Python
yusheng-wang/pygmt
A Python interface for the Generic Mapping Tools.
yusheng-wang/PythonDemo
虾神的Python示例代码库
yusheng-wang/RBBGCMuso
RBBGCMuso is a software package that supports the application of the Biome-BGCMuSo biogeochemical model.
yusheng-wang/relaimpo
:exclamation: This is a read-only mirror of the CRAN R package repository. relaimpo — Relative Importance of Regressors in Linear Models. Homepage: https://prof.bht-berlin.de/groemping/relaimpo/, https://prof.bht-berlin.de/groemping/
yusheng-wang/simple_ELM
yusheng-wang/STM-C
A remote sensing permafrost carbon model
yusheng-wang/TaylorDiagram
绘制泰勒图，比其它库相比，可以指定绘制的ax，可调参数更灵活，需要手动添加legend，不裁剪参考点，多么的大都可以显示