pankajcivil
Postdoctoral Research Associate at Interdisciplinary Centre for Water Research
Indian Institute of ScienceBangalore, Karnataka, India
Pinned Repositories
2017_Thiery_etal_JGR
scripts used for the following publication: Thiery, et al., 2017 JGR
2019_egu_workshop_jupyter_notebooks
Short course on interactive analysis of Big Earth Data with Jupyter Notebooks
ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
ClimateModeling_courseware
A collection of interactive lecture notes and assignments in Jupyter notebook format.
Complexity-entropy-causality-plane-based-on-Permutation-Entropy
This is a matlab function for estimating parameters of Complexity Entropy Causality plane using Permutation Entropy
DataPreprocessing
Codes for converting daily data to monthly and annual data.
pankaj_iisc
PotentialEvapotranspiration
Codes for estimating Potential Evapotranspiration
Seasonality-Index-of-extreme-events
This function can be use to calculate seasonal distribution of extreme events.
Sequential-Mann-Kendall-Test
This function is used to find the potential trend turning point in one dimensional time series.
pankajcivil's Repositories
pankajcivil/pankaj_iisc
pankajcivil/Amazon_river_seasonality
Scripts for Amazon river seasonality study
pankajcivil/Apollo-11
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
pankajcivil/AquaSat
Monitoring water quality from space!
pankajcivil/ARNN
pankajcivil/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
pankajcivil/AS213_Python_in_Atmos_Sciences
Course materials for AS 213: Introduction to Python and Its Applications in Atmospheric Sciences
pankajcivil/awesome-causality-data
A data index for learning causality.
pankajcivil/BNWeatherGen
Weather Generators with Bayesian Networks
pankajcivil/Compounding_warming_and_variability_increase
Matlab scripts and key data associated with the paper "Summertime temperature variability increases with local warming in mid-latitude regions" by Duo Chan et al.
pankajcivil/computeUI
Code to compute the BROJA information decomposition
pankajcivil/ConditionalSpectralGrangerCausality
Source code for Claessen et al. 2019: Global biosphere--climate interaction: a causal appraisal of observations and models over multiple temporal scales. Biogeosciences, 16, 4851-4874, https://doi.org/10.5194/bg-16-4851-2019.
pankajcivil/copent
R package for estimating copula entropy
pankajcivil/EventDetection-ITM-method
Identifying rainfall-runoff events in discharge time series: A data-driven method based on Information Theory
pankajcivil/ggpointdensity
:chart_with_upwards_trend: :bar_chart: Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
pankajcivil/hbv_hydromodel
Python implementation of the HBV Hydrological Model
pankajcivil/humidheat
Scripts and data to accompany 2020 paper "The Emergence of Heat and Humidity Too Severe for Human Tolerance", with Tom Matthews and Radley Horton, to be published in Science Advances
pankajcivil/Hydrograph-py
Tools for separating hydrograph in baseflow and peak flow, and extreme value analyses
pankajcivil/HydroSight
A flexible statistical toolbox for deriving quantitative insights from groundwater data.
pankajcivil/HYEENNA
Hydrologic Entropy Estimators based on Nearest Neighbor Approximations
pankajcivil/lstm_streamflow
Matlab version of LSTM streamflow prediction project
pankajcivil/MARRMoT
Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 46 conceptual hydrologic models
pankajcivil/mevpy
pankajcivil/Mutualism
The Stability of Mutualism: Code
pankajcivil/npcausal
pankajcivil/pub_ngs-watertowers
Set of scripts to calculate global water tower index
pankajcivil/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.
pankajcivil/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
pankajcivil/swiftlatex_first-document
pankajcivil/wavelet_timing
Code to reproduce "A Wavelet-Based Approach to Streamflow Event Identification and Modeled Timing Error Evaluation"