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Original file line number | Diff line number | Diff line change |
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|
@@ -28,7 +28,7 @@ | |
- name: Marion Devilliers | ||
email: [email protected] | ||
techniques: | ||
- beginner, interested in CNN for downscaling | ||
- beginner, interested in CNN for downscaling | ||
applications: | ||
- climate models | ||
- name: Peter Thejll | ||
|
@@ -76,7 +76,7 @@ | |
- LSTMs, CNNs | ||
applications: | ||
- Forecasting and simulation of river networks | ||
- name: Tommaso Benacchio | ||
- name: Tommaso Benacchio | ||
email: [email protected] | ||
social: | ||
website: https://tbnc.wordpress.com | ||
|
@@ -107,7 +107,7 @@ | |
techniques: | ||
- interested in supervised/unsupervised learning | ||
applications: | ||
- ai data driven NWP forecasts | ||
- ai data driven NWP forecasts | ||
- ML for remote sensing products and satellite data assimilation within NWP systems | ||
- name: Villy Mik-Meyer | ||
email: [email protected] | ||
|
@@ -116,7 +116,7 @@ | |
techniques: | ||
- interested in supervised learning | ||
applications: | ||
- Data driven models for extreme WL predictions | ||
- Data driven models for extreme WL predictions | ||
- name: Kristian H. Møller | ||
email: [email protected] | ||
social: | ||
|
@@ -148,7 +148,7 @@ | |
applications: | ||
- Model verification and post-processing | ||
- Interested in data-driven forecast models, downscaling, time-series forecasting | ||
- name: Kristian Pagh Nielsen | ||
- name: Kristian Pagh Nielsen | ||
email: [email protected] | ||
social: | ||
linkedin: https://www.linkedin.com/in/kristian-pagh-nielsen-5330163/ | ||
|
@@ -195,7 +195,7 @@ | |
applications: | ||
- Effect of North Atlantic system on European Climate | ||
- Chances and limitation of ML methods | ||
name: Irene Livia Kruse | ||
- name: Irene Livia Kruse | ||
email: [email protected] | ||
social: | ||
github: irenelivia | ||
|
@@ -204,4 +204,37 @@ name: Irene Livia Kruse | |
- Interested in GNNs for nowcasting, and much more | ||
applications: | ||
- In my phd: nowcasting convective cold pools from weather station time series | ||
- In the near future: nowcasting solar/wind time series for energy meteorology | ||
- In the near future: nowcasting solar/wind time series for energy meteorology | ||
- name: Nicolaj Hansen | ||
email: [email protected] | ||
social: | ||
github: NicolajHansen90 | ||
twitter: Hansen_Nicolaj | ||
linkedin: Nicolaj Hansen | ||
techniques: | ||
- Machine learning | ||
- Data quality | ||
- Emulators | ||
applications: | ||
- Build emulators that can downscale precipitation over ice sheets | ||
- name: Michael Andersen | ||
email: [email protected] | ||
social: | ||
github: blackplague | ||
linkedin: mchl-ndrsn | ||
techniques: | ||
- GNNs, XGBoost, Hyperparameter Optimization, ResNet/CNN, Word2Vec text embedding, OCR, Neo4j, GraphDB | ||
applications: | ||
- Fraud detection | ||
- Image classification | ||
- Similarity/context searches | ||
- name: Henriette Rilling | ||
email: [email protected] | ||
social: | ||
github: HenrietteRilling | ||
techniques: | ||
- Supervised/unsupervised learning | ||
- Physics-informed neural networks | ||
applications: | ||
- Precipitation time series forecasting, spatial + temporal gap-filling | ||
- ML for radar products |
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