Pinned Repositories
2017_Thiery_etal_JGR
scripts used for the following publication: Thiery, et al., 2017 JGR
AHW
Air-Sea-Interaction-Diagnostics
Intraseasonal air-sea interaction diagnostics (DeMott et al. 2016 JGR)
Analysis-demos
AppMulti
R Shiny app for multivariate analysis (Hierarchical cluster, K-means, PCA, EFA, CA, MANOVA and LDA)
ATLAS
Datasets, code and virtual workspace for the Climate Change ATLAS
attribution
Bayesian-multivariate-time-series-causal-inference
R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
cmip6hack-precip
Precipitation and extreme precipitation in CMIP6
hfs
Batch processing for HYSPLIT and FLEXPART
LMXB's Repositories
LMXB/2017_Thiery_etal_JGR
scripts used for the following publication: Thiery, et al., 2017 JGR
LMXB/Air-Sea-Interaction-Diagnostics
Intraseasonal air-sea interaction diagnostics (DeMott et al. 2016 JGR)
LMXB/Analysis-demos
LMXB/attribution
LMXB/Bayesian-multivariate-time-series-causal-inference
R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
LMXB/camels
Catchment Attributes and Meteorology for Large-sample Studies
LMXB/climate-statistics
Climate Statistics with Python.
LMXB/copula_MRF_GEV
spatial extreme-value models based on GEV marginals and Gaussian copulas with algorithms for interpolation
LMXB/DataPreprocessing
Codes for converting daily data to monthly and annual data.
LMXB/downscaleR
An R package for climate data bias correction and downscaling (part of the climate4R bundle)
LMXB/ensemble-learning
Ensemble Methods for Machine Learning
LMXB/Global_Heatwave_and_Warm_Spell_Toolbox
This toolbox calculates, based on different definitions of the literature, and plots different characteristics of heatwaves/warm-spells for any country around the globe and plots the results. HW characteristics include, number of events, number of HW days, first and last HW day of year, HW magnitude, HW amplitude etc.
LMXB/Harvard-Robust-Machine-Learning
Repository for CS282R: Robust Machine Learning at Harvard University.
LMXB/herdersWDA
LMXB/High-latitude-Jet
LMXB/Machine-Learning-Techniques
Machine Learning Techniques Subject
LMXB/Machine-Learning-with-Python
Python codes for common Machine Learning Algorithms
LMXB/matlab-machine-learning
Source Code for 'MATLAB Machine Learning' by Michael Paluszek and Stephanie Thomas
LMXB/MonsoonMinimalModel
Minimal model for monsoon precipitation for manuscript "Position and orientation of the westerly jet determined Holocene rainfall patterns in China, Nature Communications, 2019"
LMXB/NatureComms2018_modelcapacity_code
Custom code accompying paper in Nature Communications
LMXB/NCL_meteorology_libs
《NCL数据处理与绘图实习教程》源程序库+测试数据链接
LMXB/NCOMMS-18-00404A
Code and Data: Towards reliable extreme weather and climate event attribution
LMXB/red_river
Python and R code for bias correction and empirical-statistical downscaling of GCM projections for the Red River basin in Vietnam.
LMXB/rhydro_EGU19
Using R in Hydrology - EGU2019 Short Course
LMXB/Seasonality-Index-of-extreme-events
This function can be use to calculate seasonal distribution of extreme events.
LMXB/Sequential-Mann-Kendall-Test
This function is used to find the potential trend turning point in one dimensional time series.
LMXB/SOM-based-partition
codes for paper "Trends in persistent seasonal-scale atmospheric circulation patterns responsible for seasonal precipitation totals and occurrences of precipitation extremes over Canada" in Journal of Climate
LMXB/standaRdized
R package for the calculation of Standardized Index values (SPI, SPEI, SSI,...) on a daily basis.
LMXB/T-N_Wave-Activity-Flux
Python scripts for caculating the Wave-Activity Flux derived by Takaya and Nakamura (JAS,2001)
LMXB/Wavelet-Entropy
Matlab Code for calculating wavelet entropy of a signal