On the impact of machine learning for nowcasting applications

SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture

Trebing, Kevin
Staǹczyk, Tomasz
Mehrkanoon, Siamak

May 2021

Weather forecasting is dominated by numerical weather prediction that tries to model accurately the ...

Working group on nowcasting and mesoscale research

Roberts, Rita
Steinle, Pete

April 2019

Presentación realizada en la 3rd European Nowcasting Conference, celebrada en la sede central de AEM...

Conference Report 2nd European Nowcasting Conference

Wapler, Kathrin
Bañón Paregrín, Luis María
Buzzi, Matteo
Heizenreder, Dirk
Kann, Alexander
Meirold-Mautner, Ingo
Simon, André
Wang, Yong

January 2017

The 2nd European Nowcasting Conference took place in Offenbach, Germany, on 3–5 May 2017. The confer...

On the impact of machine learning for nowcasting applications

Kann, Alexander
Schicker, Irene
Papazek, Petrina
Song, Linye
Hartel, Elisabeth
Wang, Yong

April 2019

Póster presentado en: 3rd European Nowcasting Conference, celebrada en la sede central de AEMET en M...

On the challenge of precipitation nowcasting in the Canary Islands

Quintero Plaza, David

March 2022

Presentación realizada en: 4th European Nowcasting Conference, celebrada del 21 al 25 de marzo de 20...

Nowcasting wind using machine learning from the stations to the grid

Buzzi, Matteo
Guidicelli, Matteo
Liniger, Mark A.

April 2019

Presentación realizada en la 3rd European Nowcasting Conference, celebrada en la sede central de AEM...

Precipitation nowcasting in the Canary Islands with deep learning tools at EWCloud

Quintero Plaza, David

November 2021

Presentación realizada para: European Weather Cloud User Workshop celebrado de manera virtual el 10 ...

Machine learning models applied to storm nowcasting

Cuomo, Joaquin M.

January 2020

2020 Summer.Includes bibliographical references.Weather nowcasting is heavily dependent on the obser...

Conference Report: Fourth European Nowcasting Conference

Schmid, Franziska
Agersten, Solfrid
Bañón Paregrín, Luis María
Buzzi, Matteo
Atencia, Aitor
De Coning, Estelle
Kann, Alexander
Moseley, Stephen
Reyniers, Maarten
Wang, Yong
Wapler, Kathrin

January 2022

The fourth European Nowcasting Conference took place as an online event from 21 to 24 March 2022, or...

MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather

Klocek, Sylwester
Dong, Haiyu
Dixon, Matthew
Kanengoni, Panashe
Kazmi, Najeeb
Luferenko, Pete
Lv, Zhongjian
Sharma, Shikhar
Weyn, Jonathan
Xiang, Siqi

May 2022

We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-learning model th...

SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture

Trebing, Kevin
Staǹczyk, Tomasz
Mehrkanoon, Siamak

May 2021

Weather forecasting is dominated by numerical weather prediction that tries to model accurately the ...

Working group on nowcasting and mesoscale research

Roberts, Rita
Steinle, Pete

April 2019

Presentación realizada en la 3rd European Nowcasting Conference, celebrada en la sede central de AEM...

Conference Report 2nd European Nowcasting Conference

Wapler, Kathrin
Bañón Paregrín, Luis María
Buzzi, Matteo
Heizenreder, Dirk
Kann, Alexander
Meirold-Mautner, Ingo
Simon, André
Wang, Yong

January 2017

The 2nd European Nowcasting Conference took place in Offenbach, Germany, on 3–5 May 2017. The confer...

On the impact of machine learning for nowcasting applications

Kann, Alexander
Schicker, Irene
Papazek, Petrina
Song, Linye
Hartel, Elisabeth
Wang, Yong

April 2019

Póster presentado en: 3rd European Nowcasting Conference, celebrada en la sede central de AEMET en M...

On the challenge of precipitation nowcasting in the Canary Islands

Quintero Plaza, David

March 2022

Presentación realizada en: 4th European Nowcasting Conference, celebrada del 21 al 25 de marzo de 20...

Nowcasting wind using machine learning from the stations to the grid

Buzzi, Matteo
Guidicelli, Matteo
Liniger, Mark A.

April 2019

Presentación realizada en la 3rd European Nowcasting Conference, celebrada en la sede central de AEM...

Precipitation nowcasting in the Canary Islands with deep learning tools at EWCloud

Quintero Plaza, David

November 2021

Presentación realizada para: European Weather Cloud User Workshop celebrado de manera virtual el 10 ...

Machine learning models applied to storm nowcasting

Cuomo, Joaquin M.

January 2020

2020 Summer.Includes bibliographical references.Weather nowcasting is heavily dependent on the obser...

Conference Report: Fourth European Nowcasting Conference

Schmid, Franziska
Agersten, Solfrid
Bañón Paregrín, Luis María
Buzzi, Matteo
Atencia, Aitor
De Coning, Estelle
Kann, Alexander
Moseley, Stephen
Reyniers, Maarten
Wang, Yong
Wapler, Kathrin

January 2022

The fourth European Nowcasting Conference took place as an online event from 21 to 24 March 2022, or...

MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather

Klocek, Sylwester
Dong, Haiyu
Dixon, Matthew
Kanengoni, Panashe
Kazmi, Najeeb
Luferenko, Pete
Lv, Zhongjian
Sharma, Shikhar
Weyn, Jonathan
Xiang, Siqi

May 2022

We present the encoder-forecaster convolutional long short-term memory (LSTM) deep-learning model th...

SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture

Trebing, Kevin
Staǹczyk, Tomasz
Mehrkanoon, Siamak

May 2021

Weather forecasting is dominated by numerical weather prediction that tries to model accurately the ...

Working group on nowcasting and mesoscale research

Roberts, Rita
Steinle, Pete

April 2019

Presentación realizada en la 3rd European Nowcasting Conference, celebrada en la sede central de AEM...

Conference Report 2nd European Nowcasting Conference

Wapler, Kathrin
Bañón Paregrín, Luis María
Buzzi, Matteo
Heizenreder, Dirk
Kann, Alexander
Meirold-Mautner, Ingo
Simon, André
Wang, Yong

January 2017

The 2nd European Nowcasting Conference took place in Offenbach, Germany, on 3–5 May 2017. The confer...

On the impact of machine learning for nowcasting applications

Abstract

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On the impact of machine learning for nowcasting applications

Abstract

Extracted data

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