Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity ; year:2019 ; pages:1-21
Weather and climate dynamics discussions ; (2019), 1-21

Creator: Mayer, Kirsten J.
Barnes, Elizabeth A.

DOI: 10.5194/wcd-2019-13

URN: urn:nbn:de:101:1-2019121904054230988648

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

Last update: 14.08.2025, 11:01 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

Mayer, Kirsten J.
Barnes, Elizabeth A.

Other Objects (12)

Subseasonal midlatitude prediction skill following Quasi-Biennial Oscillation and Madden–Julian Oscillation activity

Quantifying sources of subseasonal prediction skill in CESM2

Flow dependence of wintertime subseasonal prediction skill over Europe

Sub-seasonal prediction skill: is the mean state a good model evaluation metric?

Pattern-based forecasting enhances the prediction skill of European heatwaves into the sub-seasonal range

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

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

Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability

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

Subseasonal midlatitude prediction skill following Quasi-Biennial Oscillation and Madden–Julian Oscillation activity

Quantifying sources of subseasonal prediction skill in CESM2

Flow dependence of wintertime subseasonal prediction skill over Europe

Sub-seasonal prediction skill: is the mean state a good model evaluation metric?

Pattern-based forecasting enhances the prediction skill of European heatwaves into the sub-seasonal range

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

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

Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability

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

Subseasonal midlatitude prediction skill following Quasi-Biennial Oscillation and Madden–Julian Oscillation activity

Quantifying sources of subseasonal prediction skill in CESM2

Flow dependence of wintertime subseasonal prediction skill over Europe

Sub-seasonal prediction skill: is the mean state a good model evaluation metric?

Pattern-based forecasting enhances the prediction skill of European heatwaves into the sub-seasonal range

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

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

Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability

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

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.

Subseasonal Midlatitude Prediction Skill Following QBO-MJO Activity

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Subseasonal midlatitude prediction skill following Quasi-Biennial Oscillation and Madden–Julian Oscillation activity

Quantifying sources of subseasonal prediction skill in CESM2

Flow dependence of wintertime subseasonal prediction skill over Europe

Flow dependence of wintertime subseasonal prediction skill over Europe

Sub-seasonal prediction skill: is the mean state a good model evaluation metric?

Pattern-based forecasting enhances the prediction skill of European heatwaves into the sub-seasonal range

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

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

Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability

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

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

Subseasonal midlatitude prediction skill following Quasi-Biennial Oscillation and Madden–Julian Oscillation activity

Quantifying sources of subseasonal prediction skill in CESM2

Flow dependence of wintertime subseasonal prediction skill over Europe

Flow dependence of wintertime subseasonal prediction skill over Europe

Sub-seasonal prediction skill: is the mean state a good model evaluation metric?

Pattern-based forecasting enhances the prediction skill of European heatwaves into the sub-seasonal range

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

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

Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability

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

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

Subseasonal midlatitude prediction skill following Quasi-Biennial Oscillation and Madden–Julian Oscillation activity

Quantifying sources of subseasonal prediction skill in CESM2

Flow dependence of wintertime subseasonal prediction skill over Europe

Flow dependence of wintertime subseasonal prediction skill over Europe

Sub-seasonal prediction skill: is the mean state a good model evaluation metric?

Pattern-based forecasting enhances the prediction skill of European heatwaves into the sub-seasonal range

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

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

Prediction skill of Sahelian heatwaves out to subseasonal lead times and importance of atmospheric tropical modes of variability

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

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

Related objects

Reset password