1. GEWEX WEBS MC Q E P N W http://ecpc.ucsd.edu/projects/ghp/WEBS/
Chair, Roads
MAGS, Szeto
GAPP, Juang
LBA, Marengo
LPB, Berbery
BALTEX, Isemer
AMMA, Gaye
GAME, Masuda
MDB, Seed
ISCCP, Rossow
SRB, Stackhouse
GRDC, Douglas
NVAP, Rossow
GPCP, Adler
CMAP, Arkin
NCEP, Roads
ERA, Beljaars
JRA, Masuda
GLDAS, Rodell MC Q E P N W
cf. Sorooshian
Our goal is to use the “best available” GEWEX and other global data sets to assess our current uncertainty in characterizing (“closing”) global and regional water and energy cycles for the ~ time period.

2. QRS Ann. Mean (86-95) Some differences between obs over Amazon, Africa Larger differences from atmospheric reanalyses over the ocean Land assimilations use bias corrected atmospheric reanalyses downwelling solar radiation

3. Despite having the same downward solar radiation, GLDAS models have almost the same uncertainty as reanalysis models. Observations have less uncertainty in most places.

4. LDAS has low QRS and low LE
-QR=LP+SH
Reanalyses too wet?
Are RESG and REST measures of closure?

5. Using either GLDAS or reanalysis surface fluxes gives about the same closure error ~ 20 W/m**2

6. Next Steps
Our goal is to use the “best available” GEWEX and other global data sets to assess our current uncertainty in characterizing and simulating global and regional water and energy cycles over the land in general and the CSEs in particular
for the ~ time period.
We would like to eventualy characterize our current uncertainty in describing the global water and energy budgets, but to do this we will need to develop combined ocean and land data sets.
This will probably be for a different time period since many satellite ocean flux data sets begin in the 90’s
We would also like to eventually include MERRA* and other NEWS** datasets to compare with these WEBS datasets
*The pending NASA Modern Era Retrospective-analysis for Research and Applications
**NASA Energy and Water-cycle Study