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🌊 Google Earth Engine for Ocean Monitoring: Marine Thermal Stress & Upwelling Analysis πŸ›°οΈWe’re excited to introduce our ...
28/08/2026

🌊 Google Earth Engine for Ocean Monitoring: Marine Thermal Stress & Upwelling Analysis πŸ›°οΈ

We’re excited to introduce our upcoming course on using Google Earth Engine (GEE) and MODIS-Aqua satellite data to analyze ocean conditions across Indonesian waters!

Guiding the sessions is Ikhsan Mustaqim, AI Data & IoT DevOps at PT Pasifik Satelit Nusantara. Across two days session, participants will explore MODIS-Aqua datasets by accessing and filtering satellite data to analyzing Sea Surface Temperature (SST) and identifying coastal upwelling.

Using a real Indonesian waters case study, participants will learn how to build spatial analyses and time-series workflows directly in GEE.

Save the date! πŸ˜†
πŸ“… 5–6 September 2026
⏰ 10:00–12:00 WIB
πŸ’» Online via Google Meet

Ready to explore satellite-based ocean monitoring with GEE?
πŸ”— Register here: https://forms.konfersi.com

What if working with ocean satellite data did not have to begin with hours of downloading, organizing, merging, and prep...
13/08/2026

What if working with ocean satellite data did not have to begin with hours of downloading, organizing, merging, and preparing files?

For many researchers, a large part of the workflow happens before the actual analysis even starts. Finding the right dataset, downloading multiple NetCDF files, subsetting the study area and period, checking the data, then repeating the same process for another variable.

Google Earth Engine can simplify much of that process. With GEE, satellite datasets can be accessed and processed directly in the cloud. Researchers can select a region and time period, calculate variables, visualize patterns, extract values, and export the results for further analysis in Python, MATLAB, or R.

This becomes especially useful when working with multiple ocean datasets. The goal is not to replace your analysis tools. It is to spend less time preparing data and more time understanding what the ocean is telling us. Sometimes, improving a research workflow does not mean adding more complicated tools. It means removing the repetitive steps between the data and the question you actually want to answer.

Every project carries potential hazards, but identifying them early is key to preventing incidents. HAZID (Hazard Identi...
19/07/2026

Every project carries potential hazards, but identifying them early is key to preventing incidents. HAZID (Hazard Identification) helps teams identify potential risks during the early stages of a project, enabling safer decisions, better designs, and more effective risk controls before operations begin.

07/07/2026

SUPER TYPHOON BAVI: WHAT IS HAPPENING TO THE SEA?

Super Typhoon Bavi is currently moving through the Marianas (Western Pacific) as a powerful Category 5 super typhoon, with maximum sustained winds reaching 180 mph.

At this intensity, the impact is not limited to the atmosphere. Extreme winds continuously transfer energy and momentum into the ocean surface, rapidly building a highly energetic and rough sea state.

The strongest wave conditions are expected close to the typhoon's core. Around Rota, surf heights may reach 25–35 ft, or approximately 7.6–10.7 m, while wind- and wave-driven run-up may add another 10–15 ft above the storm surge.

The stronger and longer the wind blows across the ocean, the more energy can be transferred into the waves. Near a super typhoon, intense rotating winds can generate large wind waves, complex crossing sea states, and powerful swells that propagate beyond the storm centre. This is why a typhoon's influence on the sea can extend far beyond the eye itself.

source: foxweather.com

Every engineering project carries risk, but how do engineers determine when a risk is acceptable?The ALARP (As Low As Re...
05/07/2026

Every engineering project carries risk, but how do engineers determine when a risk is acceptable?

The ALARP (As Low As Reasonably Practicable) Principle provides a structured approach to reducing risk as far as reasonably practicable, supporting safer and more informed engineering decisions.

Swipe through to learn how ALARP works and why it's a cornerstone of engineering risk management.

In metocean, we rely on complex computer models to predict wave heights, wind speeds, and ocean currents. But how do fin...
29/05/2026

In metocean, we rely on complex computer models to predict wave heights, wind speeds, and ocean currents. But how do find the most accurate one without scrolling through millions of rows of data?

We use Taylor Diagram, the ultimate visual report card. It uses the geometry of a triangle to combine three vital statistics for Standard Deviation, Correlation, and RMSE into one single chart.

Here is how to read it using a real-world example:

🎯 The Bullseye (Reality): Let's say our actual offshore wave heights vary by 5 meters (Standard Deviation). Because this is reality, its Correlation is 1.0, and its error (RMSE) is 0. This is our target!

Now, let's test three models against this 5-meter reality:

❌ Model A. SD = 10m, Correlation = 0.2. This model predicts waves twice as big as reality AND its timing is completely out of sync. On the diagram, this dot is swung far away from our bullseye.

πŸ₯ˆ Model B. SD = 3m, Correlation = 0.95. Excellent timing! While it predicts slightly smaller waves (3m) than reality (5m), its patterns match perfectly. On the diagram, it sits remarkably close to the target.

⚠️ Model C. SD = 9.5m, Correlation = 0.95. While the timing is spot-on, it severely overestimates the wave heights, predicting 9.5m fluctuations instead of 5m. This pushes its dot far away from our 5m target.

Against a 5-meter standard, Model B takes the lead! πŸ†

Taylor diagram are mathematically linked in the exact same way as the three sides of a triangle (using the Law of Cosines). Visualizing these metrics in one place is a total game-changer for evaluating metocean data quickly and accurately.

Designing resilient offshore infrastructure requires moving far past daily weather averages to calculate extreme values ...
27/05/2026

Designing resilient offshore infrastructure requires moving far past daily weather averages to calculate extreme values like 50-year and 100-year return periods. Applying rigorous statistical distributions to decadal wind, wave, and tidal arrays allows marine engineers to map maximum loading limits and secure multi-million dollar assets against environmental failure.

"Sea level" is a helpful reference point, but gravity anomalies and temperature variations mean the global ocean is actu...
24/05/2026

"Sea level" is a helpful reference point, but gravity anomalies and temperature variations mean the global ocean is actually packed with permanent hills and valleys spanning up to 100 meters in height. Metocean scientists map these fluid landscapes using satellite altimetry to predict current pathways and protect marine infrastructure.

We have officially moved to konfersi.com we've simply outgrown a local address. Same team, same precision metocean analy...
22/05/2026

We have officially moved to konfersi.com

we've simply outgrown a local address. Same team, same precision metocean analysis.

The ocean doesn't stop at a border, and neither do we.

Most people see offshore LNG as massive ships and giant steel structures.But behind every successful offshore LNG projec...
18/05/2026

Most people see offshore LNG as massive ships and giant steel structures.

But behind every successful offshore LNG project, there’s another critical layer that often goes unnoticed: Metocean analysis.

From extreme waves and ocean currents to seabed conditions and thermal stratification, environmental data plays a major role in determining whether offshore operations can run safely, efficiently, and reliably for decades.

As global energy demand continues to rise especially with the growth of AI, data centers, and industrial development. Offshore LNG infrastructure is becoming increasingly important, particularly for archipelagic countries like Indonesia.

Swipe through to explore the hidden ocean factors behind offshore energy systems 🌊

Which Metocean aspect surprised you the most?

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