Global Ocean Physics Reanalysis | Data Processing for MLD Analysis in Python

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About Course

Global Ocean Physics Reanalysis | Data Processing for MLD Analysis in Python teaches oceanographers and data enthusiasts to analyze Mixed Layer Depth (MLD) using Python and reanalysis data from Copernicus Marine Service. Participants will learn to access, preprocess, and visualize ocean physics data, calculate MLD using temperature and density thresholds, and explore spatiotemporal trends. Through hands-on exercises, learners will develop skills to process ocean data confidently for research or practical use. Perfect for researchers, students, and professionals in oceanography and climate science.

1. Introduction to Ocean Surface Layers and Mixed Layer: Learn the foundational concepts of ocean physics, including the dynamics of the surface and mixed layers. Understand the significance of the mixed layer in oceanographic studies.
2. Methods for Calculating MLD: Explore the threshold-based approach for MLD determination. Apply these methods in a case study of the Makassar Strait.
3. Global Ocean Physics Reanalysis Data: Access and preprocess reanalysis data from Marine Copernicus. Understand the characteristics of the data for practical analysis.
4. Hands-on Data Processing in Python: Create flowcharts for data workflows. Perform climatology and time-series analyses of temperature and salinity. Visualize horizontal and vertical profiles of ocean parameters. Calculate and analyze MLD in the Makassar Strait using Python.

Course Content

Prologue

Prologue

0. Preparing Python Environment

1. Introduction
This chapter provides the foundational knowledge required to understand and analyze the Mixed Layer Depth (MLD).

2. Methods for Calculating MLD
This section delves into commonly used criteria for determining MLD, by identifying a specific difference in temperature or density between surface measurements and those at greater depths. This approach is known as the "threshold method."

3. Global Ocean Physics Reanalysis Data
This chapter provides an overview of reanalysis data from Marine Copernicus, Global Ocean Physics Reanalysis Data, focusing on accessing, downloading, and understanding the dataset.

4. Hands-on Data Processing in Python
In this chapter you will learn to processing the Global Ocean Physics Reanalysis data in Python, including climatology composite, monthly timeseries, plot section (surface/horizontal and vertical) for temperature and salinity parameter. We will also learn to plot the MLD with the temperature and salinity profile.

5. Interpretation of the Results & Summary

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A course by

Konfersi Indonesia

Oceanographer | Metocean Data Analyst | Metocean Python Expert

Participants should have Python 3.8.10 installed on their device and be familiar with running scripts in Python.
Basic programming knowledge in Python, including the use of libraries like numpy and pandas, is required.
A fundamental understanding of oceanography and general data analysis concepts is recommended.
Access to the internet to access course materials, reanalysis data, and required Python libraries.
Familiarity with working in Google Colab or any Python IDE is a plus but not mandatory.

Oceanography and geophysics students seeking to expand their data analysis skills.
Data analysts and programmers interested in applying Python to oceanographic datasets.
Environmental consultants and policymakers seeking to interpret ocean physics data for decision-making.
Anyone with a basic understanding of oceanography and Python who wants to deepen their knowledge of reanalysis data applications.

Global Ocean Physics Reanalysis | Data Processing for MLD Analysis in Python

About Course

What Will You Learn?

Course Content

Prologue

Prologue

0. Preparing Python Environment

Installation

1. Introduction
This chapter provides the foundational knowledge required to understand and analyze the Mixed Layer Depth (MLD).

1.1. Basics of the Ocean Surface Layers

1.2. The Mixed Layer

Introduction | Overview knowledge about the mixed layer in the ocean

2. Methods for Calculating MLD
This section delves into commonly used criteria for determining MLD, by identifying a specific difference in temperature or density between surface measurements and those at greater depths. This approach is known as the "threshold method."

2.1. Threshold-Based approach

2.2. Estimation of MLD in Makassar Strait

Methods for Determine MLD | Overview about threshold method and Makassar Strait Region

3. Global Ocean Physics Reanalysis Data
This chapter provides an overview of reanalysis data from Marine Copernicus, Global Ocean Physics Reanalysis Data, focusing on accessing, downloading, and understanding the dataset.

3.1. Introduction to Marine Copernicus Data

3.2. Accessing and Downloading Data

3.3. Understanding Data Characteristic

Global Ocean Physics Reanalysis | Overview about the dataset that will be use

4.1. Flow Chart

4.2. Monthly time series & climatology/composite of temperature and salinity

4.3. Surface (Horizontal) Temperature, Salinity, and Current Velocity in Makassar Strait

4.4. Vertical Profile of Temperature and Salinity in Makassar Strait

4.5. Mixed Layer Depth in Makassar Strait | the Global Ocean Physics Reanalysis MLD data

4.6. Mixed Layer Depth in Makassar Strait | Threshold Method 1

4.7. Mixed Layer Depth in Makassar Strait | Threshold Method 2

5. Interpretation of the Results & Summary

5.1. Interpretation of the Results

5.2. Summary

Company Address

Konfersi Indonesia

Socials

Company Address

Konfersi Indonesia

Socials

About Course

What Will You Learn?

Course Content

Prologue

Prologue

0. Preparing Python Environment

Installation

1. Introduction This chapter provides the foundational knowledge required to understand and analyze the Mixed Layer Depth (MLD).

1.1. Basics of the Ocean Surface Layers

1.2. The Mixed Layer

Introduction | Overview knowledge about the mixed layer in the ocean

2. Methods for Calculating MLD This section delves into commonly used criteria for determining MLD, by identifying a specific difference in temperature or density between surface measurements and those at greater depths. This approach is known as the "threshold method."

2.1. Threshold-Based approach

2.2. Estimation of MLD in Makassar Strait

Methods for Determine MLD | Overview about threshold method and Makassar Strait Region

3. Global Ocean Physics Reanalysis Data This chapter provides an overview of reanalysis data from Marine Copernicus, Global Ocean Physics Reanalysis Data, focusing on accessing, downloading, and understanding the dataset.

3.1. Introduction to Marine Copernicus Data

3.2. Accessing and Downloading Data

3.3. Understanding Data Characteristic

Global Ocean Physics Reanalysis | Overview about the dataset that will be use

4.1. Flow Chart

4.2. Monthly time series & climatology/composite of temperature and salinity

4.3. Surface (Horizontal) Temperature, Salinity, and Current Velocity in Makassar Strait

4.4. Vertical Profile of Temperature and Salinity in Makassar Strait

4.5. Mixed Layer Depth in Makassar Strait | the Global Ocean Physics Reanalysis MLD data

4.6. Mixed Layer Depth in Makassar Strait | Threshold Method 1

4.7. Mixed Layer Depth in Makassar Strait | Threshold Method 2

5. Interpretation of the Results & Summary

5.1. Interpretation of the Results

5.2. Summary

Student Ratings & Reviews

Company Address

Konfersi Indonesia

Socials

Company Address

Konfersi Indonesia

Socials

1. Introduction
This chapter provides the foundational knowledge required to understand and analyze the Mixed Layer Depth (MLD).

2. Methods for Calculating MLD
This section delves into commonly used criteria for determining MLD, by identifying a specific difference in temperature or density between surface measurements and those at greater depths. This approach is known as the "threshold method."

3. Global Ocean Physics Reanalysis Data
This chapter provides an overview of reanalysis data from Marine Copernicus, Global Ocean Physics Reanalysis Data, focusing on accessing, downloading, and understanding the dataset.