https://github.com/anacost/annmaster
Estimating net surface radiation by using ANN
Science Score: 23.0%
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Repository
Estimating net surface radiation by using ANN
Basic Info
- Host: GitHub
- Owner: anacost
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Size: 5.87 MB
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- Stars: 0
- Watchers: 0
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Metadata Files
README.md
ANNMaster
Estimating net surface radiation by using ANN
sensitivitymetdata.txt: 1. X - date and time: 2017-08-03 00:00:00 to 2017-09-08 23:30:00 2. Rldownwell - Longwave incoming radiation in W/m^2 3. ATmbar - Atmospheric pressure in mbar 4. Rsdownwell - Shortwave incoming radiation in W/m^2 5. rH - Relative humidity in % 6. Tb1477 - Air temperature in degree Celsius at 10m height 7. Dg1477 - Wind direction in degree 8. F1sg_1477 - Wind speed in m/s 9. Rnet - Net surface radiation in W/m^2
The goal is to estimate Rnet. Assumption is that tiff files contain information related to Rnet.
Simple perceptron: https://machinelearningmastery.com/implement-perceptron-algorithm-scratch-python/
Free Datasets: https://archive.ics.uci.edu/ml/datasets.html
First test to make:
- Rl_downwell - Longwave incoming radiation in W/m^2
- Rs_downwell - Shortwave incoming radiation in W/m^2
And possibly add:
- Dg1477 - Wind direction in degree
- F1sg1477 - Wind speed in m/s
On site: 10-20 August.
Owner
- Name: Ana Conrado
- Login: anacost
- Kind: user
- Repositories: 1
- Profile: https://github.com/anacost
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