Tendency Bias Correction in Coupled and Uncoupled Global Climate Models with a Focus on Impacts over North America

Chang, Y.; Schubert, S. D.; Koster, R. D.; Molod, A. M.; Wang, H.

doi:10.1175/JCLI-D-18-0598.1

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.

i

Tendency Bias Correction in Coupled and Uncoupled Global Climate Models with a Focus on Impacts over North America

2019
By Chang, Y. ; Schubert, S. D. ; Koster, R. D. ; ...
Source: Journal of Climate, 32(2), 639-661

[PDF-9.08 MB]

Select the Download button to view the document

This document is over 5mb in size and cannot be previewed

Details You May Also Like

Details:

Journal Title:

Journal of Climate
Personal Author:

Chang, Y. ; Schubert, S. D. ; Koster, R. D. ; Molod, A. M. ; Wang, H.

Chang, Y. ; Schubert, S. D. ; Koster, R. D. ; Molod, A. M. ; Wang, H. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office)

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) Less -
Description:

We revisit the bias correction problem in current climate models, taking advantage of state-of-the-art atmospheric reanalysis data and new data assimilation tools that simplify the estimation of short-term (6 hourly) atmospheric tendency errors. The focus is on the extent to which correcting biases in atmospheric tendencies improves the model’s climatology, variability, and ultimately forecast skill at subseasonal and seasonal time scales.
Keywords:

[+]

Bias Climate Models Model Errors Model Evaluation/Performance Reanalysis Data
Source:

Journal of Climate, 32(2), 639-661
DOI:

https://doi.org/10.1175/JCLI-D-18-0598.1
Document Type:

Journal Article
Funding:

Grant no. NA14OAR4310221
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:6691c8af8827874bee765cbd3c043348c74913ae2630bf2fd201a294834c6a3c
Download URL:

https://repository.library.noaa.gov/view/noaa/36800/noaa_36800_DS1.pdf
File Type:

No Additional Files

More +

Tendency Bias Correction in Coupled and Uncoupled Global Climate Models with a Focus on Impacts over North America

Details:

Supporting Files

You May Also Like