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Clear Sky OLR and Surface Skin Temperature from GMAO-GEOS4 and ECMWF Analyses Man Li C. Wu Global Modeling and Assimilation Office Earth Sciences Directorate, NASA/Goddard Space Flight Center, Greenbelt MD 20771 USA

Clear Sky OLR and Surface Skin Temperature from GMAO … · Clear Sky OLR and Surface Skin Temperature from GMAO-GEOS4 and ECMWF Analyses Man Li C. Wu Global Modeling and Assimilation

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Clear Sky OLR and Surface Skin Temperature from GMAO-GEOS4 and

ECMWF Analyses

Man Li C. Wu

Global Modeling and Assimilation OfficeEarth Sciences Directorate, NASA/Goddard Space Flight

Center, Greenbelt MD 20771 USA

Outline

• CERES concerns on earlier GEOS4 Tskin analyses.

• Improvements in latest GMAO system. New LSM , Tskin Analysis, etc.

• New Results: GMAO Tskin is comparable to that of the ECMWF.

Warm colors=>ECMWF better

Cold colors=>GEOS4 better

CLR MAY 2001 OLD GEOS4 minus CERES Observed

ECMWF minus CERES Observed

OLD GEOS4 Error minus ECMWF Error

BIAS =-1.9RMS = 8

BIAS =-2RMS = 7

W/m2

Western U.S.North Africa

Saudi Arabia

Eastern U.S.Australia

CERES Retrieved

CERES Retrieved

Tskin – OLD GEOS4 vs CERES

NE

W G

EO

S4

ECMWF

Tskin -- North Africa APRIL

ECMWF

NE

W G

EO

S4

NE

W G

EO

S4

NE

W G

EO

S4

EC

MW

F

EC

MW

FCERES Retrieved CERES Retrieved

January

NE

W G

EO

S4

ECMWF

Tskin -- AustraliaJANUARY APRIL

ECMWF

NE

W G

EO

S4

NE

W G

EO

S4

NE

W G

EO

S4

EC

MW

F

EC

MW

F

CERES Retrieved CERES Retrieved

NE

W G

EO

S4

ECMWF

Tskin -- North Africa July October

ECMWF

NE

W G

EO

S4

NE

W G

EO

S4

NE

W G

EO

S4

EC

MW

F

EC

MW

FCERES Retrieved CERES Retrieved

NE

W G

EO

S4

Tskin -- Western U.S. JANUARY APRIL

NE

W G

EO

S4

NE

W G

EO

S4

NE

W G

EO

S4

EC

MW

F

EC

MW

FCERES Retrieved CERES Retrieved

ECMWF ECMWF

NE

W G

EO

S4

ECMWF

Tskin -- Eastern U.S.JANUARY APRIL

ECMWF

NE

W G

EO

S4

NE

W G

EO

S4

NE

W G

EO

S4

EC

MW

F

EC

MW

F

CERES Retrieved CERES RetrievedCERES Retrieved CERES Retrieved

Warm colors=>ECMWF better

Cold colors=>GEOS4 better

Tskin April 2001 NEW GEOS4 minus CERES Observed

ECMWF minus CERES Observed

NEW GEOS4 Error minus ECMWF Error

BIAS =1.5RMS = 3.4

BIAS = 1.4RMS = 4.0

O K

Warm colors=>ECMWF better

Cold colors=>GEOS4 better

Tskin July 2001 NEW GEOS4 minus CERES Observed

ECMWF minus CERES Observed

NEW GEOS4 Error minus ECMWF Error

BIAS =0.7RMS = 3.6

BIAS = 0.2RMS = 3.9

O K

Warm colors=>ECMWF better

Cold colors=>GEOS4 better

Tskin October 2001 NEW GEOS4 minus CERES Observed

ECMWF minus CERES Observed

NEW GEOS4 Error minus ECMWF Error

BIAS =1.0RMS = 3.4

BIAS = 1.7RMS = 3.6

O K

xs =

Warm colors=>ECMWF better

Cold colors=>GEOS4 better

Tskin January 2001 NEW GEOS4 minus CERES Observed

ECMWF minus CERES Observed

NEW GEOS4 Error minus ECMWF Error

BIAS =2.2RMS = 3.4

BIAS = 3.2RMS = 3.4

O K

xs =

Tskin Differences and ISCCP Cloud January 2001

New GEOS4Minus CERES

ECMWFMimus CERES

ISCCP_CLDTMP

ISCCP_CLDAmount

xs =

Tskin and Clouds for 300E_330E; 70S_60SJan 2001

ECMWFNEW GEOS4

CERES

Cloud Top Temperature

xs =

xs =

ECMWF

CERES

CLOUD TOPTEMPERATURE

Tskin and Clouds for Central Eurasia – Jan 2001

NEW GEOS4

xs =

ECMWF minus CERES CLR 2001 NEW GEOS4 minus CERES

W/m2

JAN

APR

JUL

OCT

Summary• Problems:

CERES was concerned about earlier GEOS4 surface skin temperature (Tskin).

• Tskin improvement:GMAO Tskin is now comparable with ECMWF.

– New LSM, improved surface albedos.– Tskin analysis at 3hr intervals.– Smaller data window for surface TOVS.

• Clear-sky OLR Comparisons:CLR also comparable to ECMWF

– ECMWF is better over ocean due to GEOS4 UTH problems– Over land statistics (bias, rms) are indistinguishable

• Common biases in ECMWF and GMAO suggest cloud clearing problems in retrievals.

GMAO HAS FROZEN GEOS4 FORCERES REPROCESSING

Next GMAO Assimilation system (GEOS5)

Joint Analysis System with NCEP - Accelerate the utilization and operational implementation of new satellite data types

Model→Analysis Interface (ESMF)

Flexible background errorformulation in grid-space

Advanced observationoperators (radiances, winds)

Increased observation count(~106/6-hr cycle)

Run-time choices forNASA/NOAA applications

Flexible background errorformulation in grid-space

Advanced observationoperators (radiances, winds)

Increased observation count(~106/6-hr cycle)

Run-time choices forNASA/NOAA applications

ESE Science Interests with NWP constraints on

quality & performance

InterchangeableInterchangeable

NCEP AGCM

GMAO AGCM

NASAmetrics

NOAAmetrics

Input Model State

Input Observations

Common DataProcessing/QCCommon Data

Processing/QC

NASA Development NOAA Development

Primarily driven by operational NWP

Analysis→Model Interface (ESMF)

Analysis Algorithm

Flexible background errorformulation in grid-space

Advanced observationoperators (radiances, winds)

Increased observation count(~106/6-hr cycle)

Run-time choices forNASA/NOAA applications

Flexible background errorformulation in grid-space

Advanced observationoperators (radiances, winds)

Increased observation count(~106/6-hr cycle)

Run-time choices forNASA/NOAA applications

Dynamical Core:

fvGCM

Convection:

RAS

Radiation:

Chou

Clouds (prognostic):McRAS (Sud et al)NSIPP-2NCAR (CAM2)

Boundary Layer:NSIPP-2NCAR non-localLock 2000Moist 2nd Order (Helfand)

ESMF

Unified Model Running by Winter 2003

q Partnerships: developing a unified model for NASAq Enabling Technology:

Earth System Modeling Framework (ESMF) ⇒ interchangeability