Intro#
Overview#
Welcome to the second day of the Computational Tools for Climate Science course! Today we dive into scientific exploration of the modern ocean and atmosphere systems using reanalysis datasets, building on yesterday’s climate system overview.
In the course of today’s study, you will leverage computational tools and datasets such as Xarray, climate models (CESM2), and reanalysis dataset (ERA5), to explore the large-scale properties of the ocean and atmosphere, and their interactions. You will start by diagnosing anomalies of sea surface temperature (SST), their relation to El Niño and La Niña events, and their influence on global atmospheric circulation patterns and ocean dynamics. You will then examine how large-scale ocean currents are driven by both atmospheric flow (wind-driven circulation) and ocean density variations (thermohaline circulation). Finally, you will investigate how the heat stored within different layers of the ocean has changed over recent decades, and the consequent impacts on Earth’s climate system.
Throughout Day 2, you will learn about large-scale ocean and atmospheric circulation, and develop familiarity with computational tools for the analysis and interpretation of complex climate data.
Day Learning Objectives#
Explain the difference between climate and weather based on their respective timescales.
Describe the general oceanic and atmospheric circulation, and how these are related to each other.
Analyze ocean and atmosphere reanalysis products on different spatial and temporal scales.
Install and import feedback gadget#
Show code cell source
# @title Install and import feedback gadget
!pip3 install vibecheck datatops --quiet
from vibecheck import DatatopsContentReviewContainer
def content_review(notebook_section: str):
return DatatopsContentReviewContainer(
"", # No text prompt
notebook_section,
{
"url": "https://pmyvdlilci.execute-api.us-east-1.amazonaws.com/klab",
"name": "comptools_4clim",
"user_key": "l5jpxuee",
},
).render()
feedback_prefix = "W1D2_Intro"