CFSv2-based sub-seasonal precipitation and temperature forecast skill over the contiguous United States

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: CFSv2-based sub-seasonal precipitation and temperature forecast skill over the contiguous United States ; volume:21 ; number:3 ; year:2017 ; pages:1477-1490
Hydrology and earth system sciences ; 21, Heft 3 (2017), 1477-1490

Creator: Tian, Di
Wood, Eric F.
Yuan, Xing

DOI: 10.5194/hess-21-1477-2017

URN: urn:nbn:de:101:1-201711059642

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:26 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Tian, Di
Wood, Eric F.
Yuan, Xing

Other Objects (12)

Assessment of subseasonal-to-seasonal (S2S) ensemble extreme precipitation forecast skill over Europe

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity

Quantifying sources of subseasonal prediction skill in CESM2

Evaluating precipitation prediction skill for the pre- and postrainy seasons in South China in ECMWF subseasonal forecasts

Flow dependence of wintertime subseasonal prediction skill over Europe

Assessment of subseasonal-to-seasonal (S2S) ensemble extreme precipitation forecast skill over Europe

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity

Quantifying sources of subseasonal prediction skill in CESM2

Evaluating precipitation prediction skill for the pre- and postrainy seasons in South China in ECMWF subseasonal forecasts

Flow dependence of wintertime subseasonal prediction skill over Europe

Assessment of subseasonal-to-seasonal (S2S) ensemble extreme precipitation forecast skill over Europe

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity

Quantifying sources of subseasonal prediction skill in CESM2

Evaluating precipitation prediction skill for the pre- and postrainy seasons in South China in ECMWF subseasonal forecasts

Flow dependence of wintertime subseasonal prediction skill over Europe

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

CFSv2-based sub-seasonal precipitation and temperature forecast skill over the contiguous United States

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Assessment of subseasonal-to-seasonal (S2S) ensemble extreme precipitation forecast skill over Europe

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity

Quantifying sources of subseasonal prediction skill in CESM2

Evaluating precipitation prediction skill for the pre- and postrainy seasons in South China in ECMWF subseasonal forecasts

Flow dependence of wintertime subseasonal prediction skill over Europe

Flow dependence of wintertime subseasonal prediction skill over Europe

Assessment of subseasonal-to-seasonal (S2S) ensemble extreme precipitation forecast skill over Europe

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity

Quantifying sources of subseasonal prediction skill in CESM2

Evaluating precipitation prediction skill for the pre- and postrainy seasons in South China in ECMWF subseasonal forecasts

Flow dependence of wintertime subseasonal prediction skill over Europe

Flow dependence of wintertime subseasonal prediction skill over Europe

Assessment of subseasonal-to-seasonal (S2S) ensemble extreme precipitation forecast skill over Europe

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Machine Learning and Committee Models for Improving ECMWF Subseasonal to Seasonal (S2S) Precipitation Forecast

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Improving subseasonal forecast skill in the Norwegian Climate Prediction Model using soil moisture data assimilation

Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity

Quantifying sources of subseasonal prediction skill in CESM2

Evaluating precipitation prediction skill for the pre- and postrainy seasons in South China in ECMWF subseasonal forecasts

Flow dependence of wintertime subseasonal prediction skill over Europe

Flow dependence of wintertime subseasonal prediction skill over Europe

Related objects

Reset password