Showing 49 - 60 of 92 results
Visualisation of Lake Surface Water Temperature (LSWT) data for a given lake

Visualisation of Lake Surface Water Temperature (LSWT) data for a given lake

Format: Jupyter notebooks

LSWT from satellite radiometers: download and extraction; visualization of timeseries and location of the lake centre; quality and uncertainty

Tutorial: Data Access and  Visualisation of Lake Water Level (LWL) timeseries

Tutorial: Data Access and Visualisation of Lake Water Level (LWL) timeseries

Format: Jupyter notebooks

How to access the water level data for a specified lake and how to visualise its timeseries and yearly water level anomalies

Wind chill index with reanalysis data

Wind chill index with reanalysis data

Format: Jupyter notebooks

How to combine multiple variables of climate data to create an index: wind speed index as an example

Exploring coastal water levels and storm surges from a global tide and surge model

Exploring coastal water levels and storm surges from a global tide and surge model

Format: Jupyter notebooks

GTSM reanalysis experiment data are used to explore historical storm events.

Computing warm & wet days agro-climatic indicator under future climate change

Computing warm & wet days agro-climatic indicator under future climate change

Format: Jupyter notebooks

How to use data from CDS to compute an agroclimatic indicator, specifically, the "Warm and wet days" (WW) indicator

Analyzing Ocean Colour and Sea Surface Temperature during El Niño and La Niña Events

Analyzing Ocean Colour and Sea Surface Temperature during El Niño and La Niña Events

Format: Jupyter notebooks

OC and SST datasets from CDS: subset and download, visualise time series, aggregate daily to monthly, calculate anomalies

Looking at Sea Level and derived Surface Current data

Looking at Sea Level and derived Surface Current data

Format: Jupyter notebooks

Practical introduction to the Sea level gridded data: plotting data during an El Niño event and over a strong current

Exploring the Climate Change Service (C3S) Surface Albedo product available through the Climate Data Store (CDS)

Exploring the Climate Change Service (C3S) Surface Albedo product available through the Climate Data Store (CDS)

Format: Jupyter notebooks

Surface Albedo product. Three case studies: data retrieval, visualisation, time-series creation, set up Python environment

Computing the time average of LAI and fAPAR using inverse variance weights

Computing the time average of LAI and fAPAR using inverse variance weights

Format: Jupyter notebooks

LAI and fAPAR retrieved with satellite remote sensing. Computation of inverse variance weights

Seasonal forecast verification

Seasonal forecast verification

Format: Jupyter notebooks

Access hindcast data of 2-metre temperature; Compute anomalies, averages and verification metrics.

Plot an ensemble of CMIP6 climate projections

Plot an ensemble of CMIP6 climate projections

Format: Jupyter notebooks

Access CMIP6 global climate projections from the C3S Climate Data Store, plot projected 2m temperature from model ensemble.

Analysis of projected versus historical climatology with CORDEX data

Analysis of projected versus historical climatology with CORDEX data

Format: Jupyter notebooks

Introduction to CORDEX regional climate model data on single levels. Compute difference in air temperature climatologies.