Comments (1)
Hi @ZHUYMGeo, thanks for the question. The short answer is yes, IceNet is a model that tackles a spatiotemporal prediction problem.
However, the long answer is that the model itself is not a spatiotemporal model. The UNet architecture in icenet/models.py
does not explicitly model the time dimension, it only explicitly models the spatial dimensions. The input batch of data is a tensor of shape (n_samples, n_rows, n_cols, n_channels)
. Different environmental variables and times are interlaced along the channel dimension. For example: surface temperature at lag 0, surface temperature at lag 1, ..., sea ice concentration at lag 0, etc, are all concatenated along the channel dimension. And the model's six output forecast months are essentially treated as six separate predictions; there is no embedded notion that the forecast month 3 output is followed by the forecast month 4 output. However, through training, IceNet learns that the lag-0 input channels are more important, and that they are most important for the short-term 1-month forecast. This implies that the model has learned to handle time appropriately (but only by observing the spatial relationships between the input and output data). See the interpretability section of our paper for more details.
There are deep learning models that explicitly model the temporal dimension of the data, for example the ConvLSTM. In those models the input tensor would have a shape like (n_samples, n_rows, n_cols, n_variables, n_times)
, where the UNet's channel dimension has been separated out into a variable dimesion (eg sea ice, temperature, pressure, ...) and a time dimension. These models are harder to train than simpler UNet models, however.
I'll close this issue, but let me know if you have any further questions.
from icenet-paper.
Related Issues (8)
- Issues with downloading cmip6 MRI-ESM2-0 data HOT 10
- Encountered problems while solving: - nothing provides requested tensorflow ==2.2.0 gpu_py37h1a511ff_0 HOT 6
- Can't download data when runing .sh file HOT 11
- Why python3 icenet/download_cmip6_data.py takes so much memory space to run HOT 2
- ./download_seas5_forecasts_in_parallel.sh laton folder is empty HOT 1
- Missing file sea_ice_outlook_errors.csv HOT 2
- Reproducing the forecasts HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from icenet-paper.