1 / 3

Representativeness CDAS v 1.1 Implementation

Representativeness CDAS v 1.1 Implementation. Model-data mismatch due to boundary-layer/stable-layer height errors and spatial flux heterogeneities Weighting in assimilation will be set using a parameterization based on land/ocean, day/night, z, and monthly NEE and FF

yama
Download Presentation

Representativeness CDAS v 1.1 Implementation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. RepresentativenessCDAS v 1.1 Implementation • Model-data mismatch due to boundary-layer/stable-layer height errors and spatial flux heterogeneities • Weighting in assimilation will be set using a parameterization based on land/ocean, day/night, z, and monthly NEE and FF • Also, ground stations will not be allowed over vegetated or industrialized terrain

  2. 800 m 360 m 120 m Vertical and horizontal model coarseness

  3. Representativeness Formulae • land = 1 over land, 0 over ocean • night = 0 during day [6-18 LT], 1 during local night • pbl = 1 below 1500 m agl, 0 above • nsl = (500-z)/500 below 500 m, 0 above • z ~ 60 m, 240 m, 580 m for lowest levels • hem = 1.0 in N. Hem. and 0.5 in S. Hem. • R matrix values set to • hem+landmask * (pbl * (5+nsl * (50))) * ((|NEEmonthly| + |FFmonthly|) / max(|NEEmonthly|)) • also, anywhere ((|NEEmonthly| + |FFmonthly|) / max(|NEEmonthly|)) is greater than 0.05, ground station gets a ‘use’ of 0

More Related