Using climate regionalization to understand Climate Forecast System Version 2 (CFSv2) precipitation performance for the Conterminous United States (CONUS)
Abstract Dynamically based seasonal forecasts are prone to systematic spatial biases due to imperfections in the underlying global climate model (GCM). This can result in low‐forecast skill when the GCM misplaces teleconnections or fails to resolve geographic barriers, even if the prediction of larg...
Saved in:
| Main Authors: | Satish K. Regonda, Benjamin F. Zaitchik, Hamada S. Badr, Matthew Rodell |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-06-01
|
| Series: | Geophysical Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/2016GL069150 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluating interannual variability in 1-month CFSv2 forecasts with different lead times at monthly and daily scales in South Korea
by: Subin Ha, et al.
Published: (2025-01-01) -
A New Approach to Identifying and Analyzing Precipitation Events and Their Typical Lifecycles Over Conterminous United States
by: Siyu Zhu, et al.
Published: (2025-07-01) -
Spinal Intramedullary Schwannoma of the Conus
by: Jeyaselva Senthilkumar TP, et al.
Published: (2024-12-01) -
Ganglioglioma of Conus Medullaris—A Rare Case
by: Sushil Kumar, et al.
Published: (2019-11-01) -
Intramedullary spinal cysticercosis simulating a conus medullaris tumor: case report
by: Guedes-Corrêa José Fernando, et al.
Published: (2006-01-01)