Deep learning for satellite precipitation estimation · Deep learning for geoscience 2 Deep...
Transcript of Deep learning for satellite precipitation estimation · Deep learning for geoscience 2 Deep...
![Page 1: Deep learning for satellite precipitation estimation · Deep learning for geoscience 2 Deep learning and process understanding for data-driven Earth system science. Nature, 2019 ...](https://reader034.fdocuments.us/reader034/viewer/2022042621/5f7537e06fbdca33a919a69b/html5/thumbnails/1.jpg)
IMPLEMENTED BY
Deep learning for
satellite precipitation
estimation
• A. Moraux, S. Dewitte, B. Cornelis & A. Munteanu
• Royal Meteorological Institute of Belgium & Vrije Universiteit Brussel
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IMPLEMENTED BY
Deep learning for geoscience
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Deep learning and process
understanding for data-driven Earth
system science. Nature, 2019
M. Reichstein et al.
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IMPLEMENTED BY
Deep learning for climatology
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Deep learning for multi-year ENSO forecasts. Nature, 2019
Y. G Ham, J. H. Kim, & J. J. Luo
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IMPLEMENTED BY
Importance of precipitation estimation
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Daily precipitation accumulationInstantaneous precipitation rate
Courtesy of M. Journée RMI belgian radars composite
Precipitation Nowcasting
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IMPLEMENTED BY
Different observation tools:
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3) Satellite radiometers
1) Rain gauges
2) Weather radar
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IMPLEMENTED BY
Rain gauges
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IMPLEMENTED BY
Radar
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Estimate precipitation from
electromagnetic pulse reflection
measurementsZ=aR𝑏
Z =
Reflectivity
R =
Precipitation rate
a, b =
empirical
coefficients
Courtesy of L. Delobbe
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IMPLEMENTED BY
Satellite radiometer
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Meteosat Second
Generation
Full disc imagery in 12
spectral channels
Visible and infrared
3 km spatial resolution
15 minutes temporal
resolution
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IMPLEMENTED BY
Satellite radiometer
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Cloud physical properties
Red: Optical depth
Green: Water phase
(water/ice) and particle
size
Blue: Temperature
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IMPLEMENTED BY
Multimodal and multiscale deep learning model for precipitation estimation
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IMPLEMENTED BY
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IMPLEMENTED BY
Model training
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Rain gauges measurements
Satellite channels
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IMPLEMENTED BY
Data splitting
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Proper data splitting both in time and space is necessary for correct performance evaluation
➔Not randomly !
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IMPLEMENTED BY
Study case: winter rain
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Our DL model
Traditional
methods
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IMPLEMENTED BY
Study case: summer rain
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Our DL model
Traditional
methods
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IMPLEMENTED BY
Future studies
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Use radar, combined with satellite and rain gauges
➢ Further improve precipitation estimation and resolution
Develop a model with only satellite data as input
➢ Global coverage precipitation product
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IMPLEMENTED BY
Future Eumetnet workshop on Artificial Intelligence for weather and climate
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⚫ When: 26-27 February 2020
⚫ Where: Brussels
⚫ Inscription: https://events.spacepole.be/e/AI
⚫ For more information: [email protected]
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IMPLEMENTED BY
Appendix: Performance scores
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1) Precipitation detection
2) Precipitation rate
estimation