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Computational Tools in Climate Science: Part 4 - Paleoclimate


NFDI4Earth

About This Course

Welcome to the "Paleoclimate" course. This is the fourth part of the "Computational Tools for Climate Science" course series! Over the past two days, we’ve been analyzing climate reanalysis and remote sensing data to better understand variations in modern climate dynamics in land, ocean and atmosphere systems on timescales from days to months to years. Today, we’re going to explore even longer timescales of climate variability, on the order of tens to hundreds of thousands of years or more, prior to the widespread availability of instrumental records. The term for this study of past climate is “paleoclimate”. It’s important to study paleoclimate because past climate states can serve as analogs for future warming on Earth. Understanding the response of Earth’s climate systems in the past, can help to assess future changes in the climate system, evaluate the environmental response to these climate changes and validate/improve climate models and their projections of future climate.

During the first few tutorials today, you will explore different types of oceanic, terrestrial and atmospheric paleoclimate archives and proxies. Paleoclimate archives are geologic and biologic materials that preserve evidence of past changes in climate (e.g. speleothems, tree rings, ice cores, marine and lake sediment cores) and paleoclimate proxies are substances or features within archives (e.g. isotopes, foraminifera, leaf waxes, organic molecules) that record a climate variable and can be sampled and analyzed using a variety of physical and chemical methods.

Throughout the tutorials today, you will explore paleoclimate reconstructions created using various proxies and will use these records to interpret past variations in Earth’s climate. You will also explore computational tools that are frequently used to interpret paleoclimate data and assess climate forcings. Finally, you will investigate paleoclimate data from climate models that simulate past variations in Earth’s climate.

Level

Intro, Beginner, Intermediate

Requirements

Prerequisites include some introductory programming skills in Python, as well as core math and science concepts. We expect participants to be familiar with fundamental Python and data storage concepts (variables, lists, dictionaries, data formats) as well as some key Python libraries like NumPy, matplotlib, cartopy, datetime, pandas, and Xarray.

Subject Area

Geosciences

Learning Objectives

  • Analyze and interpret paleoclimate proxy reconstructions of past variations in marine, terrestrial, and atmospheric climate on multiple spatial and temporal scales.
  • Assess climate forcings by applying spectral analysis to proxy data.
  • Explain the benefits and limitations of reanalysis products for paleoclimate analysis.

What You Will Learn

  • Introduction to Past Climates Inform Our Future
  • Paleoclimate Proxies
  • Reconstructing Past Changes in Ocean Climate
  • Reconstructing Past Changes in Terrestrial Climate
  • Reconstructing Past Changes in Atmospheric Climates
  • Paleoclimate Data Analysis Tools
  • Spectral Analysis of Paleoclimate Data
  • Assessing Climate Forcings
  • Paleoclimate Models
  • Paleoclimate Reanalysis Products

Resources

Computational Climate Science syllabus by Climatematch
Computational Computational Tools in Climate Science by Climatematch
Computational Tools for Climate Science Course by neuromatch

Administration

Remon Sadikni

Farzaneh Sadeghi

Mehrad Moradipour

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