MSDM: a machine learning model for precipitation nowcasting over east China using multi-source data
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
MSDM: a machine learning model for precipitation nowcasting over east China using multi-source data ; year:2020 ; pages:1-13
Geoscientific model development discussions ; (2020), 1-13
- Creator
-
Li, Dawei
Liu, Yudi
Chen, Chaohui
- DOI
-
10.5194/gmd-2020-363
- URN
-
urn:nbn:de:101:1-2020122404201262618529
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:28 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Li, Dawei
- Liu, Yudi
- Chen, Chaohui
Other Objects (12)
MSDM v1.0: A machine learning model for precipitation nowcasting over eastern China using multisource data
Thunderstorms: life cycle analyses and nowcasting based on multi-source data
Thunderstorms: Life cycle analyses and nowcasting based on multi-source data
A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset
A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Self-clustered GAN for precipitation nowcasting
Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
High-resolution typhoon precipitation integrations using satellite infrared observations and multi-source data
Uncertainty in multi-source databases
MSDM v1.0: A machine learning model for precipitation nowcasting over eastern China using multisource data
Thunderstorms: life cycle analyses and nowcasting based on multi-source data
Thunderstorms: Life cycle analyses and nowcasting based on multi-source data
A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset
A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Self-clustered GAN for precipitation nowcasting
Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
High-resolution typhoon precipitation integrations using satellite infrared observations and multi-source data
Uncertainty in multi-source databases
MSDM v1.0: A machine learning model for precipitation nowcasting over eastern China using multisource data
Thunderstorms: life cycle analyses and nowcasting based on multi-source data
Thunderstorms: Life cycle analyses and nowcasting based on multi-source data
A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset
A Global Multi-Source Tropical Cyclone Precipitation (MSTCP) Dataset
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Self-clustered GAN for precipitation nowcasting
Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
High-resolution typhoon precipitation integrations using satellite infrared observations and multi-source data