Function reference • CAVAanalytics

Package

CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs

Main functions

Load, process and visualize

load_data(): Models download/upload

load_data_hub(): Models upload (only works from the University of Cantabria Jupyter HUB environment)

model_biases(): Visualization of model biases

projections(): Analysis of future projections

climate_change_signal(): Calculation of climate change signal

observations(): Analysis of observations-historical period

plotting(): Visualize results

extract_raster(): Write rasters

Memory efficient

Load and process in spatial chunks

load_data_and_projections(): Load data and apply function projections in spatial chunks

load_data_and_climate_change_signal(): Load data and apply function climate_change_signal in spatial chunks

load_data_and_model_biases(): Load data and apply function model_biases in spatial chunks

Utils

Accessory functions

C4R_to_CAVA(): Converting C4R lists into CAVAanalytics list

IPCC_palette(): IPCC color palette

make_raster(): make a raster

thrs(): Calculation of thresholds

thrs_consec(): Consecutive days