norman g. loeb · compared to erbe adms. - large bias in terra sw toa flux for arctic sea-ice....

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Norman G. Loeb Hampton University/NASA Langley Research Center Hampton, VA Contributors : S. Kato, K. Loukachine, N. M. Smith, Q. Trepte November 1 st , 2005, CERES STM (Hampton, VA) CERES Aqua Angular Distribution Models

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Page 1: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Norman G. LoebHampton University/NASA Langley Research Center

Hampton, VA

Contributors: S. Kato, K. Loukachine, N. M. Smith, Q. Trepte

November 1st, 2005, CERES STM (Hampton, VA)

CERES Aqua Angular Distribution Models

Page 2: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Aqua ADM Development

- Developed using Aqua Edition1B SSFs from August 2002 – June 2004 (23 months).

- Same approach as was used to develop and apply Terra ADMs.=> Main difference between Terra and Aqua approach is

in scene identification (clouds).

Page 3: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Uncertainty in Regional Mean SW TOA Flux

Page 4: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

APPROACH

i) Construct 10°x10° latitude-longitude regional ADMs by season (e.g., DJF, JJA) from:

i) Measured CERES radiancesii) Radiance predicted by CERES ADMs

ii) Apply regional ADMs to determine fluxes from the same data using one month of crosstrack measurements.

iii) Determine regional mean error in SW TOA flux.

Note: This approach considers only footprints with non-default cloud properties.

Page 5: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

DJF MAM

JJA SON

SW TOA Flux Error (W m-2)

Regional Mean SW TOA Flux Errors due to ADM Uncertainties (Terra)

Page 6: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

DJF MAM

JJA SON

SW TOA Flux Error (W m-2)

Regional Mean SW TOA Flux Errors due to ADM Uncertainties (Aqua)

Page 7: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua
Page 8: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua
Page 9: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

- Aqua tests use 2.1 μm channel, Terra tests use 1.6 μm.

- In Aqua Ed1, thresholds of snow and cloud detection were changed in most of branches:-> the clear land and open ocean detection uses T11

instead of Tskin.

- The mini-mask for classifying TBD pixels changed. More of these are being retrieved on Aqua.

- Added Twilight MODIS Polar Tests in Aqua Ed1 that separates super cold plateau and non-super cold polar regions.

- Thin Ci tests remained the same. For daytime polar, the thin Ci tests (based on T11-T12) were in Terra Ed2 already.

Differences between Terra Ed2 and Aqua Ed1 Daytime Polar Cloud Mask

Page 10: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Terra SSF_Ed2B minus Terra SSF_Ed2_Test(July 1, 2003)

Terra SSF_Ed2B: Uses Terra sea-ice ADMsTerra SSF_Ed2_Test: Uses Aqua sea-ice ADMs

Page 11: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Fraction of CERES Fluxes Estimated using Neural Network ADMs

Aqua, July 2003, FAPS

Terra, July 2003, FAPS

Aqua: fewer “cloud no retrievals” than Terra overArctic sea-ice, but more elsewhere.

Terra: significant fraction of “cloud no retrievals” over Arctic sea-ice.

Page 12: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

TOA SW Radiative Effect of “Cloud No Retrievals” Footprints(No Diurnal Averaging)

F(all) – F(ADM), Terra, July 2003, FAPS

Terra: “cloud no retrievals” footprintsincrease SW TOA flux over Arctic sea-ice.⇒ Strong dependence upon Neural Network ADMs

F(all) – F(ADM), Aqua, July 2003, FAPSAqua: Weak dependence up NeuralNetwork ADMs.

Page 13: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua
Page 14: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Uncertainty in Regional Mean LW TOA Flux

Page 15: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

SW TOA Flux Error (W m-2)

DJF MAM

JJA SON

Regional Mean LW TOA Flux Errors due to ADM Uncertainties (Terra)

Page 16: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

LW TOA Flux Error (W m-2)

DJF MAM

JJA SON

Regional Mean LW TOA Flux Errors due to ADM Uncertainties (Aqua)

Page 17: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua
Page 18: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Regional Mean Nighttime LW TOA Flux Errors due to ADMs (Aqua)DJF

LW TOA Flux Error (W m-2)

JJA SON

MAM

Page 19: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Nighttime LW TOA Flux Error Against Viewing Zenith Angle (5° x 5° latitude-longitude regions; SON, 2003)

AQUA TERRA

TOA

Flu

x E

rror

(W m

-2)

(-77.5°, -102.5°)(-77.5°, 22.5°)(-77.5°, 102.5°)

Page 20: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Nighttime Polar Cloud Mask Changes between Terra Ed2 and Aqua Ed1

- In Aqua Ed1, over the super Cold Plateau regions, the snow/ice tests were changed so as to slightly reduce cloud cover compared to Terra Ed2.

-> In Terra Ed2, Antarctic ice caps were sometimes misidentified as clouds.

Note: super cold ice cap definition: Tskin < 230 K, T11 < 230 K, elevation > 1000 m and IceMap > 0

Cloud mask changes:Clouds: Tskin > 230 and T11 < 240 and Tcs - T11 > 15 and T3.7-T12 > 4 (Aqua)

Tskin > 230 and T11 < 240 and Tcs - T11 > 12 and T3.7-T12 > 4 (Terra)

Ice: T11 < 220 and T67 - T 11 > 5 and T11 - T12 < 0.7 (Aqua)

T11 < 210 and T67 - T 11 > 9 and T11 - T12 < 0.7 (Terra)

Page 21: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua
Page 22: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Nighttime Clear Area Coverage and Surface Skin Temperature over Permanent Snow (October 2003)

Clear Area Coverage Surface Skin Temperature (Clear)

Viewing Zenith Angle (°)

Page 23: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Terra and Aqua LW Nighttime ADMs for Permanent Snow

Page 24: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua
Page 25: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua
Page 26: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Instantaneous TOA Flux Uncertainty

Page 27: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Instantaneous TOA Flux Consistency Tests

ImagerCERES

θ

(

- Convert imager nadir visible radiance to broadband flux- Compare off-nadir CERES flux with nadir flux inferred from

imager visible radiance.

Consistency = [F(θ=50°-60°) - F (Nadir)] / F (Nadir)] x 100%

Page 28: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua
Page 29: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Aqua: 47 Days, N FOV = 401,239Terra: 48 days, N FOV = 545,018Aqua: 47 Days, N FOV = 401,239Terra: 48 days, N FOV = 545,018

Page 30: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

SSF Cloud Classification(Each Cloud Layer)

SSF Cloud Classification(Each Cloud Layer)

Thick

6

15

24

Mod

5

14

23

Thin

4

13

22

MCL

ThickModThinThickModThin

987321Low

181716121110Mid

272625212019High

OVCPCL

Thick

6

15

24

Mod

5

14

23

Thin

4

13

22

MCL

ThickModThinThickModThin

987321Low

181716121110Mid

272625212019High

OVCPCL

Low: EP > 680 mb

Mid: EP = 440 – 680 mb

High: EP < 440 mb

Thick: t > 22.63OVC: CF = 99 – 100%Mod: τ = 3.35 – 22.63MCL: CF = 40 – 99%

Thin: τ < 3.35PCL: CF = 0.1 - 40%

Low: EP > 680 mb

Mid: EP = 440 – 680 mb

High: EP < 440 mb

Thick: t > 22.63OVC: CF = 99 – 100%Mod: τ = 3.35 – 22.63MCL: CF = 40 – 99%

Thin: τ < 3.35PCL: CF = 0.1 - 40%

Page 31: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

No-Glint Ocean Scene TypeSW TOA Flux RMS (%)

No-Glint Ocean Scene TypeSW TOA Flux RMS (%)

6.27

CLR

ThickMod

5.28

10.73

Thin

7.31

MCL

ThickModThinThickModThin

3.563.0628.519.687.77Low

4.155.65Mid

3.726.8411.64High

OVCPCL

6.27

CLR

ThickMod

5.28

10.73

Thin

7.31

MCL

ThickModThinThickModThin

3.563.0628.519.687.77Low

4.155.65Mid

3.726.8411.64High

OVCPCL

Terra Ocean: All-sky RMS = 4.07% (5.21%)Terra Ocean: All-sky RMS = 4.07% (5.21%)

Aqua Ocean: All-sky RMS = 4.23% (6.04%) Aqua Ocean: All-sky RMS = 4.23% (6.04%)

5.28

CLR

ThickMod

6.13

Thin

10.63

MCL

ThickModThinThickModThin

3.613.7825.5010.068.33Low

4.205.6216.01Mid

3.996.7010.21High

OVCPCL

5.28

CLR

ThickMod

6.13

Thin

10.63

MCL

ThickModThinThickModThin

3.613.7825.5010.068.33Low

4.205.6216.01Mid

3.996.7010.21High

OVCPCL

Page 32: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Land SW TOA Flux RMS (%)

Land SW TOA Flux RMS (%)

4.12

CLR

ThickMod

5.97

7.36

Thin

16.53

MCL

ThickModThinThickModThin

4.366.438.108.65Low

4.115.0416.385.30Mid

3.926.0123.274.09High

OVCPCL

4.12

CLR

ThickMod

5.97

7.36

Thin

16.53

MCL

ThickModThinThickModThin

4.366.438.108.65Low

4.115.0416.385.30Mid

3.926.0123.274.09High

OVCPCL

Terra Land: All-sky RMS = 5.77% (4.90%)Terra Land: All-sky RMS = 5.77% (4.90%)

Aqua Land: All-sky RMS = 6.58% (5.03%) Aqua Land: All-sky RMS = 6.58% (5.03%)

3.05

CLR

ThickMod

10.81

7.85

Thin

MCL

ThickModThinThickModThin

4.434.837.6510.59Low

3.064.774.63Mid

4.658.119.793.01High

OVCPCL

3.05

CLR

ThickMod

10.81

7.85

Thin

MCL

ThickModThinThickModThin

4.434.837.6510.59Low

3.064.774.63Mid

4.658.119.793.01High

OVCPCL

Page 33: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Snow/Ice SW TOA Flux RMS (%)

Snow/Ice SW TOA Flux RMS (%)

7.22

CLR

ThickMod

10.77

9.54

Thin

9.04

7.08

11.26

MCL

ThickModThinThickModThin

6.475.988.5017.0110.05Low

15.274.8710.2812.426.21Mid

9.406.199.97High

OVCPCL

7.22

CLR

ThickMod

10.77

9.54

Thin

9.04

7.08

11.26

MCL

ThickModThinThickModThin

6.475.988.5017.0110.05Low

15.274.8710.2812.426.21Mid

9.406.199.97High

OVCPCL

Terra Snow/Ice: All-sky RMS = 8.50% (8.17%) Terra Snow/Ice: All-sky RMS = 8.50% (8.17%)

Aqua Snow/Ice: All-sky RMS = 8.23% (7.40%)Aqua Snow/Ice: All-sky RMS = 8.23% (7.40%)

5.02

CLR

ThickMod

14.18

10.16

Thin

11.54

6.19

MCL

ThickModThinThickModThin

5.178.8517.509.79Low

6.977.3510.125.37Mid

8.798.656.04High

OVCPCL

5.02

CLR

ThickMod

14.18

10.16

Thin

11.54

6.19

MCL

ThickModThinThickModThin

5.178.8517.509.79Low

6.977.3510.125.37Mid

8.798.656.04High

OVCPCL

Page 34: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

SW TOA Flux Consistency by Cloud Fraction and Cloud Height

(Ocean)

Page 35: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Ocean LW TOA Flux RMS (%)

Ocean LW TOA Flux RMS (%)

0.97

CLR

ThickMod

2.42

5.13

Thin

1.06

MCL

ThickModThinThickModThin

2.422.242.511.080.96Low

4.844.47Mid

7.317.796.351.95High

OVCPCL

0.97

CLR

ThickMod

2.42

5.13

Thin

1.06

MCL

ThickModThinThickModThin

2.422.242.511.080.96Low

4.844.47Mid

7.317.796.351.95High

OVCPCL

Aqua Ocean: All-sky RMS = 2.39% (2.30%)Aqua Ocean: All-sky RMS = 2.39% (2.30%)

1.06

CLR

ThickMod

0.99

Thin

1.05

MCL

ThickModThinThickModThin

1.961.520.710.73Low

2.284.721.02Mid

5.977.696.041.05High

OVCPCL

1.06

CLR

ThickMod

0.99

Thin

1.05

MCL

ThickModThinThickModThin

1.961.520.710.73Low

2.284.721.02Mid

5.977.696.041.05High

OVCPCL

Terra Ocean: All-sky RMS = 2.66% (2.63%)Terra Ocean: All-sky RMS = 2.66% (2.63%)

Page 36: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Land LW TOA Flux RMS (%)

Land LW TOA Flux RMS (%)

1.85

CLR

ThickMod

1.43

3.69

Thin

3.26

MCL

ThickModThinThickModThin

2.251.271.962.00Low

2.073.941.882.00Mid

7.588.515.622.65High

OVCPCL

1.85

CLR

ThickMod

1.43

3.69

Thin

3.26

MCL

ThickModThinThickModThin

2.251.271.962.00Low

2.073.941.882.00Mid

7.588.515.622.65High

OVCPCL

Aqua Land: All-sky RMS = 2.94% (1.97%)Aqua Land: All-sky RMS = 2.94% (1.97%)

1.60

CLR

ThickMod

1.18

3.42

Thin

MCL

ThickModThinThickModThin

1.641.351.531.57Low

3.353.772.15Mid

5.906.752.412.42High

OVCPCL

1.60

CLR

ThickMod

1.18

3.42

Thin

MCL

ThickModThinThickModThin

1.641.351.531.57Low

3.353.772.15Mid

5.906.752.412.42High

OVCPCL

Terra Land: All-sky RMS = 3.41% (2.09%)Terra Land: All-sky RMS = 3.41% (2.09%)

Page 37: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

Snow/Ice LW TOA Flux RMS (%)

Snow/Ice LW TOA Flux RMS (%)

2.85

CLR

ThickMod

2.22

2.23

Thin

2.45

2.36

2.3 9

MCL

ThickModThinThickModThin

5.542.195.482.342.12Low

3.844.854.005.592.35Mid

4.105.165.152.58High

OVCPCL

2.85

CLR

ThickMod

2.22

2.23

Thin

2.45

2.36

2.3 9

MCL

ThickModThinThickModThin

5.542.195.482.342.12Low

3.844.854.005.592.35Mid

4.105.165.152.58High

OVCPCL

Aqua Snow/Ice: All-sky RMS = 2.13% (2.26%)Aqua Snow/Ice: All-sky RMS = 2.13% (2.26%)

2.27

CLR

ThickMod

1.61

2.50

Thin

1.96

2.05

MCL

ThickModThinThickModThin

1.612.431.372.19Low

3.401.841.522.96Mid

7.465.012.20High

OVCPCL

2.27

CLR

ThickMod

1.61

2.50

Thin

1.96

2.05

MCL

ThickModThinThickModThin

1.612.431.372.19Low

3.401.841.522.96Mid

7.465.012.20High

OVCPCL

Terra Snow/Ice: All-sky RMS = 2.78% (2.87%)Terra Snow/Ice: All-sky RMS = 2.78% (2.87%)

Page 38: Norman G. Loeb · compared to ERBE ADMs. - Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua. => Suggest using Aqua

- CERES TOA flux uncertainties from new CERES ADMs: => 1σ regional mean TOA flux : < 1 W m-2

=> Instantaneous SW TOA flux : 10 -15 W m-2

=> Instantaneous LW TOA flux : 5 -10 W m-2

- Significant reduction in albedo dependence on viewing zenith angle compared to ERBE ADMs.

- Large bias in Terra SW TOA flux for Arctic sea-ice. Important changes in cloud mask lead to improvements for Aqua.=> Suggest using Aqua sea-ice ADMs in Terra Ed3 processing.

- Large bias in Aqua nighttime LW fluxes over permanent snow. Important changes in cloud mask resulted in large biases for Aqua.=> Suggest using Terra nighttime LW permanent snow ADMs in Aqua

Ed2A processing.

- Evidence for a dependence in clear ocean instantaneous uncertainty on aerosol fine-mode fraction.=> Suggest incorporating fine-mode fraction for Terra and Aqua Ed3

processing.

Summary