Solving Space-Time Variation in the Ocean

In summary, the conversation discusses the consideration of space-time variations in biological oceanography and the importance of computing data over a space-time scale. The speaker has a data set for 6 locations and 6 time-periods and is seeking a formula to analyze the evolution of tiny cells. They mention that cell simulations are similar to iterative finite element methods and suggest looking into papers and commercial software. Additionally, they mention Conway's Game of Life as a possible starting point for understanding this concept.
  • #1
vdv
1
0
Hi all,

I m not a physicist but a biological oceanographer. I would like to know how should I consider space-time variations of tiny cells in the ocean? Usually people deal with space and time separately but do not compute the data over a space-time scale (which I believe is important especially in regards to the continuous movement of the water in the ocean). Each data point of my data set correspond to a specific location sampled at a specific time, I have data for 6 locations (of a particular region) and 6 time-periods (months), and would like to know the evolution of my tiny cells over a space-time frame. What kind of formula should I apply? How would you approach this problem?

Many thanks!
 
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  • #2
Cell simulations are similar to iterative finite element methods. They are a branch of bioinformatics. There should be a lot of papers on this. And even some commercial software.

The simplest form is this:
http://en.wikipedia.org/wiki/Conway's_Game_of_Life
 
  • #3


Hi there,

As a physicist, I can understand your concern about space-time variations in the ocean. It is indeed a complex problem, but there are ways to approach it. One way is to use mathematical models that take into account both space and time. These models can help you analyze the movement and behavior of tiny cells in the ocean over a space-time frame.

To start, you can use a combination of differential equations and statistical methods to model the dynamics of the tiny cells. This will allow you to incorporate both spatial and temporal variables into your analysis. You can also use data visualization techniques to better understand the patterns and trends in your data.

Another approach is to use machine learning algorithms, such as neural networks, to analyze your data. These algorithms can learn the patterns and relationships in your data and make predictions about the behavior of tiny cells over a space-time frame.

In terms of specific formulas, it would depend on the type of data you have and the specific questions you want to answer. I would suggest consulting with a physicist or a data scientist who has experience in analyzing ocean data to help you determine the best approach for your specific problem.

I hope this helps. Best of luck with your research!
 

Related to Solving Space-Time Variation in the Ocean

1. What is space-time variation in the ocean?

Space-time variation in the ocean refers to the changes in the physical properties and characteristics of the ocean over both space and time. This includes factors such as temperature, salinity, currents, and sea level, which can vary over different spatial scales and time periods.

2. What causes space-time variation in the ocean?

Space-time variation in the ocean is primarily caused by natural processes such as winds, tides, and ocean currents. These processes can also be influenced by external factors such as climate change and human activities such as pollution and fishing.

3. Why is it important to solve space-time variation in the ocean?

Understanding and solving space-time variation in the ocean is crucial for various reasons. It helps us to better predict and adapt to changing ocean conditions, which can impact industries such as fisheries, shipping, and tourism. It also plays a significant role in climate studies and the overall health of the ocean ecosystem.

4. How do scientists study and solve space-time variation in the ocean?

Scientists use a combination of observational data, computer models, and mathematical techniques to study and solve space-time variation in the ocean. This includes collecting data from buoys, satellites, ships, and other ocean monitoring systems, as well as developing and running complex computer simulations.

5. What are the potential applications of solving space-time variation in the ocean?

The applications of solving space-time variation in the ocean are wide-ranging. They include improving weather and climate forecasting, better management of marine resources, mitigating the impacts of natural disasters such as hurricanes and tsunamis, and understanding the effects of human activities on the ocean. It also has implications for industries such as shipping, offshore energy, and coastal management.

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