Simulated climate variables have biases that need to be corrected before usage in impact modeling studies. At high spatial resolutions, bias correction is a computationally intensive process. This service returns bias corrected time series over specified regions and periods.

Category:

Data Manipulation

Contributor:

Ouranos

Research Subject:

Climatology

Support Email:

pavics@ouranos.ca

Type:

Managed

Version:

1.0.0

Release Date (UTC):

2017-10-05 00:00:00

CANARIE Project ID:

RS-40

Tags:

Climatology Cloud

How to Cite:

PAVICS RS-40-105