FR2.L10.1: MONITORING SMOS BRIGHTNESS TEMPERATURES AT GLOBAL SCALE. A PRELIMINARY OVERALL QUALITY...

ECMWF IGARSS-2010 Honolulu 25-30 July slide 1

Monitoring SMOS brightness temperatures at global scale. A

preliminary overall quality assessment

Thanks to: ECMWF operations team, Matthias Drusch (ESA/ESTEC), Susanne Mecklenburg (ESA/ESRIN), Steven Delwart (ESA/ESTEC), Norrie Wright(ESA/ESRIN), Philippe Richaume (CESBIO).

Joaquín Muñoz Sabater

Anne Fouilloux, Patricia de Rosnay, Mohamed Dahoui


Outline

► ECMWF main objectives using SMOS data,

► Some aspects about the implementation of SMOS data in the Integrated Forecasting System (IFS),

Main challenges of the implementation,

NRT product latency,

Pre-processing,

► SMOS data: preliminary results

• SMOS offline data monitoring webpage – observations monitoring,

• Preliminary assessment of main first-guess departures sources,

• Global statistics

► Current and future activities


Outline





Pre-processing,







Main objectives

1. Global monitoring of Level-1C brightness temperatures at the satellite antenna reference frame, at several incidence angles.

For Numerical Weather Prediction (NWP) applications, monitoring compares forecast (or analysis) and observed data.

Results available in NRT through the ECMWF satellite monitoring webpage.

Observed TB (OBS)

Modelled TB (FG)

Pas

sive

m

onito

ring

First Guess (FG) departures


Main objectives

2. Assimilation of SMOS Level-1C brightness temperatures over land investigate the meteorological impact of SMOS data assimilation.

Extended Kalman Filter (EKF) soil moisture (wa) analysis:

Soil moisture first-guess of j layer by

ECMWF land surface scheme

Background error matrix; a-priori knowledge of soil

moisture variances

Linearised version of the observation operator

CMEM by small perturbations of the initial moisture state

Soil layer defined in H-TESSEL

Observation error matrix inputs provided by monitoring statistics

Multi-angular, multi-polarised SMOS TB observations

wa,j= wb,j + (B-1+HTR-1H)-1 HT R-1 (TB0 - H[wb,j] )


Implementing SMOS data in the IFS. First version

ODB: Observations Data Base used by the Integrated Forecasting System


► Volume of SMOS data,

• Much computing resources and time is needed to process and test SMOS data,

• Which data to assimilate?

► Particular measuring principle (observation of the same area with different incidence angles at different time stamps) produces very large internal data bases which are difficult to handle,

• Structure of SMOS ODB in the IFS needs to be revised to make it more efficient and use less memory resources Is a ‘MUST’ for operational purposes,

► Observation operator (CMEM: Community Microwave Emission Model) implementation in the IFS,

• Compatibility with IFS is only guaranteed if CMEM code is adapted to a multi-thread environment

Main obstacles (and challenges) in the implementation


L1C-NRT BUFR product

Convert to L1C-NRT ECMWF BUFR product

Pre-process data:• Consistency checks• Parallel data thinning per angular bins

ESAC

MARS ECFS

Store in ECMWF archives

Computations in model space (gp_model)

Get SMOS data in grid point• call smos_process

Forward model (CMEM) physics interface routines call callpar

Back to observation space call smos_update

BUFR files

Mapping and load data to ODB tables

ODB data

passivemonitoring ofL1C TB overland & sea call smos_screen

CMEM interface

call mwave_screen RTTOVS interface

Tatm

ε

Distribution per processor and grid point

Implementing SMOS data in the IFS. New version


0 4 8

12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96

100 104 108 112

2 4 6 8 10 12 14 16 18 20 22

Del

ay (ho

urs)

time (days)

SMOS files - Delay ESA-ECMWF

BUFR delayNRT delay

BUFR done3 hours

12 hours24 hours48 hours

$Instrument_$SensingTime1_$SensingTime2_$Satellite_$orbit_$datatype_$GeneratingTime_$datalevel.bufr

NRT latency – December 2009


0 4 8

12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96

100 104 108 112 116 120 124 128 132 136 140 144 148

14 16 18 20 22 24 26 28 30 32 34

Del

ay (ho

urs)

time (days)


BUFR delayNRT delay

BUFR done3 hours


NRT latency – Jan-Feb-Mar-Apr 2010

0 4 8

12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96

100 104 108 112 116 120 124 128 132 136 140

0 5 10 15 20 25 30

Dela

y (hours

)

time (days)


BUFR delayNRT delay

BUFR done3 hours


0 4 8

12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96

100

0 5 10 15 20 25 30 35

De

lay

(h

ou

rs)

t ime (day s)

SMOS f iles - Delay ESA-ECMWF

BUFR delayNRT delay

BUFR done3 hours


0 4 8

12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96

100

0 5 10 15 20 25 30 35

Del

ay (

hour

s)

time (days)


BUFR delayNRT delay

BUFR done3 hours


January February

March April


NRT latency – May-June-July 2010

0 4 8

12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96

100

0 5 10 15 20 25 30 35

Del

ay (

hour

s)

time (days)


BUFR delayNRT delay

BUFR done3 hours


0 4 8

12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96

100

0 5 10 15 20 25 30 35

Del

ay (ho

urs)

time (days)


BUFR delayNRT delay

BUFR done3 hours


May June

July

0 4 8

12 16 20 24 28 32 36 40 44 48 52 56 60 64 68 72 76 80 84 88 92 96

100

0 5 10 15 20 25

Del

ay (

hour

s)

time (days)


BUFR delayNRT delay

BUFR done3 hours



SMS Supervisor Monitor Scheduler

► Routinely checks,

► Validity of data,

► Data thinning,

► Others checks can potentially be implemented at this level (noise filtering, RFI mitigation algorithms, etc.)

SMOS data pre-processing


Outline





Pre-processing,







Observations monitoring •,SMOS offline monitoring webpage

• Available since November-2009. Since January-2010 only NRT data is monitored and published,

• Daily global maps of Level-1C NRT product,

• Polarisations in the antenna reference frame at 0°, 10°, 20°, 30°, 40°, 50° and 60°,

http://www.ecmwf.int/research/ESA_projects/SMOS/monitoring/smos_monitor.html


TBxx TByy

20-Nov-09

20-Dec-09

16-Jan-10

Θ = 40°

NRT

NRT


Monitoring observations – Urulu (Australia)

TBV

0

4

8

12

16

20

24

120 130 140 150 160 170 180 190

STD

TB

(K)

bin [0-5]bin [5-10]

bin [10-15]bin [15-20]

0

4

8

12

16

20

24

120 130 140 150 160 170 180 190

STD

TB

(K)

bin [20-25]bin [25-30]bin [30-35]bin [35-40]

0 4 8

12 16 20 24

120 130 140 150 160 170 180 190

STD

TB

(K)

day of the year

bin [40-45]bin [45-50]bin [50-55]bin [55-60]


First - guess

dielectric Wang

effect. temp Choudhury

smooth surface Fresnel

roughness Choudhury

vegetation Kirdyashev

atmosphere Pellarin

First-guess CMEM initial

config

► Community Microwave Emission Model (CMEM), modular radiative transfer code used to compute first-guess:

- Drusch et al., 2009, JHM - de Rosnay et al., 2009, JGR - Muñoz-Sabater et al., 2010, IJRS


First-guess departures (obs - model)

0

1000

2000

3000

4000

5000

6000

-200 -150 -100 -50 0 50 100 150 200

mean: -6.39 std: 39.9min: -234 max: 209

Total number of points: 121670DB column: fg_depar@body

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

10000

-200 -150 -100 -50 0 50 100

mean: -17.3 std: 34.2min: -248 max: 139


H-pol

V-pol After implementation bugs removal, some departures are still too cold or too warm.

Case Study:

22 January 2010,

First 4D-Var 12h cycle,

Global scale,

All incidence angles included,

No mask applied on vegetation or snow


First-guess departures (obs – model)

0

1000

2000

3000

4000

5000

6000

-200 -150 -100 -50 0 50 100 150 200

mean: -6.39 std: 39.9min: -234 max: 209


H-pol

FG departures Orography

0°0°

10°N 10°N

20°N20°N

30°N 30°N

40°N40°N

50°N 50°N

60°N60°N

70°N 70°N

0°

0° 20°E

20°E 40°E

40°E 60°E

60°E 80°E

80°E 100°E

100°E 120°E

120°E 140°E

140°E

FG departures75.008 - 88.368 88.368 - 101.73 101.73 - 115.09 115.09 - 128.45 128.45 - 141.8141.8 - 155.16 155.16 - 168.52 168.52 - 181.88 181.88 - 195.24 195.24 - 208.6

0°0°

10°N 10°N

20°N20°N

30°N 30°N

40°N40°N

50°N 50°N

60°N60°N

70°N 70°N

0°

0° 20°E

20°E 40°E

40°E 60°E

60°E 80°E

80°E 100°E

100°E 120°E

120°E 140°E

140°E

FG departures-8.2693 - 521.83 521.83 - 1051.9 1051.9 - 1582 1582 - 2112.1 2112.1 - 2642.22642.2 - 3172.3 3172.3 - 3702.4 3702.4 - 4232.5 4232.5 - 4762.6 4762.6 - 5292.7

Case Study:

22 January 2010

FG departures > 75K


First-guess departures (obs – model)

0

1000

2000

3000

4000

5000

6000

-200 -150 -100 -50 0 50 100 150 200

mean: -6.39 std: 39.9min: -234 max: 209


H-pol

40°S 40°S

30°S30°S

20°S 20°S

10°S10°S

0° 0°

10°N10°N

100°E

100°E 120°E

120°E 140°E

140°E 160°E

160°E

Brightness temperatures-233.87 - -220.48 -220.48 - -207.1 -207.1 - -193.7 -193.7 - -180.32 -180.32 - -166.94-166.94 - -153.55 -153.55 - -140.16 -140.16 - -126.78 -126.78 - -113.39 -113.39 - -100.0

50°S 50°S

40°S40°S

30°S 30°S

20°S20°S

10°S 10°S

0°0°

10°N 10°N

100°E

100°E 120°E

120°E 140°E

140°E 160°E

160°E

Incidence Angle3.638 - 9.9874 9.9874 - 16.337 16.337 - 22.686 22.686 - 29.036 29.036 - 35.38535.385 - 41.734 41.734 - 48.084 48.084 - 54.433 54.433 - 60.783 60.783 - 67.132

FG departures incidence angle

Case Study:

22 January 2010

FG departures < -100K


First-guess departures

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

10000

-200 -150 -100 -50 0 50 100

mean: -17.3 std: 34.2min: -248 max: 139


V-pol

80°S80°S

70°S 70°S

60°S60°S

50°S 50°S

40°S40°S

30°S 30°S

20°S20°S

10°S 10°S

0°0°

10°N 10°N

20°N20°N

30°N 30°N

40°N40°N

50°N 50°N

60°N60°N

70°N 70°N

80°N80°N

160°W

160°W 140°W

140°W 120°W

120°W 100°W

100°W 80°W

80°W 60°W

60°W 40°W

40°W 20°W

20°W 0°

0° 20°E

20°E 40°E

40°E 60°E

60°E 80°E

80°E 100°E

100°E 120°E

120°E 140°E

140°E 160°E

160°E

FG_departures-25 - -20 -20 - -15 -15 - -10 -10 - -5 -5 - 0

0 - 5 5 - 10 10 - 15 15 - 20 20 - 25

Case Study:

22 January 2010

-25 K < FG departures < 25 K


Preliminary assessment of main FG departures Departures too large observations >> model :

Location: mainly in Europe and Central-West Asia,

Contributing causes:

mountainous areas (snow and slope effects),

areas contaminated by RFI.

Departures too negative model >> observations.

Location: South-Europe, North-Africa and some areas of China and Australia.

Contributing causes:

coastlines,

dry areas at large incidence angles,

areas contaminated by RFI

These results need to be confirmed and further investigated with systematic statistics determined at global scale and at different incidence angles.


Global statistics over land

Average of Observations,

TBH polarisation, spatial resolution 0.25° 01-07 June


Global statistics over oceans

60°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W 53.00

128.44 128.44

137.17 137.17

145.90 145.90

154.63 154.63

163.35 163.35

172.08 172.08

180.81 180.81

189.54 189.54

198.26 198.26

206.99 206.99

215.72 215.72

224.45 224.45

233.17 233.17

349.00

Min: 53.34 Max: 348.84 Mean: 8.84392EXP = FDHK, CHANNEL = 2 (FOVS: 46-48)

DATA PERIOD = 2010-03-31 21 - 2010-04-06 21MEAN OBSERVATION [ ] (ALL)

STATISTICS FOR RADIANCES FROM SMOS/

Average of Observations,TBV polarisation, spatial resolution 1° 01-07 April

Incidence angle 46-48°



60°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W 0.20

3.00 3.00

6.00 6.00

9.00 9.00

12.00 12.00

15.00 15.00

18.00 18.00

21.00 21.00

24.00 24.00

27.00 27.00

30.00 30.00

33.00 33.00

36.00 36.00

39.00 39.00

59.00

Min: 0 Max: 59 Mean: 1EXP = FDHK, CHANNEL = 2 (FOVS: 46-48)

DATA PERIOD = 2010-03-31 21 - 2010-04-06 21NUMBER OF OBSERVATIONS PER GRID SQUARE (ALL)


Number of Observations per grid square,TBV polarisation, spatial resolution 1° 01-07 April



Histogram of departures over oceans

0

2000

4000

6000

8000

10000

-150 -100 -50 0 50 100 150 200 250

mean: 12.6 std: 39.7min: -181 max: 281


0

2000

4000

6000

8000

10000

-150 -100 -50 0 50 100 150 200

mean: -6.14 std: 35.5min: -189 max: 234


03 June 2010,

All observations over open seas (first 4D-Var 12h cycle),

All incidence angles included,

Only flat component is accounted for.

Observations – First_guess


Maps of Observations Standard Deviation (STD)

TB STD [K]

H-pol

45°-50°

01-07 March 2010

03-10 May 201060°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W 4.65

7.58 7.58

10.51 10.51

13.43 13.43

16.36 16.36

19.29 19.29

22.22 22.22

25.14 25.14

28.07 28.07

31.00 31.00

33.93 33.93

36.85 36.85

39.78 39.78

42.71 42.71

123.00

Min: 0.347985 Max: 122.001 Mean: 0.468001EXP = FDJ4, CHANNEL = 2 (FOVS: 45-50)

DATA PERIOD = 2010-05-03 00 - 2010-05-10 00 , HOUR= ALLSTDV OF OBSERVATIONS [ ] (ALL)


60°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W 2.40

4.93 4.93

7.45 7.45

9.97 9.97

12.49 12.49

15.02 15.02

17.54 17.54

20.06 20.06

22.59 22.59

25.11 25.11

27.63 27.63

30.15 30.15

32.68 32.68

35.20 35.20

124.00

Min: 0.0698771 Max: 123.789 Mean: 0.568065EXP = FC5I, CHANNEL = 1 (FOVS: 45-50)

DATA PERIOD = 2010-03-01 12 - 2010-03-07 12 , HOUR= ALLSTDV OF OBSERVATIONS [K ] (ALL)

STATISTICS FOR SMOS RADIANCES

Global statistics: standard monitoring maps

Areas affected by RFI large STD of TB


60°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W -221.000

-55.947 -55.947

-47.955 -47.955

-39.962 -39.962

-31.970 -31.970

-23.977 -23.977

-15.985 -15.985

-0.001 -0.001

0.001 0.001

18.268 18.268

27.403 27.403

36.537 36.537

45.671 45.671

54.805 54.805

163.000

Min: -220.042 Max: 162.398 Mean: -0.184426EXP = FC5I, CHANNEL = 1 (FOVS: 45-50)

DATA PERIOD = 2010-03-01 12 - 2010-03-07 12 , HOUR= ALLMEAN FIRST GUESS DEPARTURE (OBS-FG) [K ] (ALL)


Global statistics: Standard monitoring maps

Map of Mean First Guess Departure over land (Obs – Model)01-07 March



60°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W -220.000

-44.519 -44.519

-38.159 -38.159

-31.800 -31.800

-25.440 -25.440

-19.080 -19.080

-12.720 -12.720

-0.001 -0.001

0.001 0.001

6.447 6.447

9.671 9.671

12.894 12.894

16.118 16.118

19.341 19.341

150.000

Min: -219.294 Max: 149.69 Mean: -0.170418EXP = FDHK, CHANNEL = 1 (FOVS: 45-50)


STATISTICS FOR RADIANCES FROM SMOS

Map of Mean First Guess Departure over land (Obs – Model)01-07 April



60°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W -229.000

-39.937 -39.937

-34.232 -34.232

-28.526 -28.526

-22.821 -22.821

-17.116 -17.116

-11.411 -11.411

-0.001 -0.001

0.001 0.001

5.489 5.489

8.234 8.234

10.979 10.979

13.723 13.723

16.468 16.468

116.000

Min: -228.203 Max: 115.375 Mean: -0.158591EXP = FDJ4, CHANNEL = 1 (FOVS: 45-50)



Map of Mean First Guess Departure over land (Obs – Model)03-10 May



60°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W 0.01

9.07 9.07

18.13 18.13

27.20 27.20

36.27 36.27

45.33 45.33

54.40 54.40

63.47 63.47

72.53 72.53

81.60 81.60

90.67 90.67

99.73 99.73

108.80 108.80

117.87 117.87

136.00

Min: 0.0220971 Max: 135.746 Mean: 13.3676EXP = FC5I, CHANNEL = 2 (FOVS: 55-60)

DATA PERIOD = 2010-03-01 12 - 2010-03-07 12 , HOUR= ALLSTDV OF FIRST GUESS DEPARTURE [ ] (ALL)STATISTICS FOR RADIANCES FROM SMOS

RFI impact on FG departures STD is large,

Excluding RFI contaminated areas, most of first-guess departures STD are below 9 K. Larger values are found in snow, boreal forests and dry areas.

Map of STD of First Guess Departure over land (Obs – Model)01-07 March


-90

-80

-70

-60

-50

-40

-30

-20

-10

0

10

20

30

40

50

60

70

80

90

Latit

ude

-90

-80

-70

-60

-50

-40

-30

-20

-10

0

10

20

30

40

50

60

70

80

90

Latitude

1 4 7Jun

2.00

14.56 14.56

20.50 20.50

26.44 26.44

32.38 32.38

38.31 38.31

44.25 44.25

50.19 50.19

56.13 56.13

62.07 62.07

68.00 68.00

73.94 73.94

79.88 79.88

85.82 85.82

142.00

Min: 2.0851 Max: 141.858 Mean: 0.00610378EXP = FEGD, DATA PERIOD = 2010060100 - 2010060712

STDV OF OBSERVATIONS [ ], ALLCHANNEL = 2


-90

-80

-70

-60

-50

-40

-30

-20

-10

0

10

20

30

40

50

60

70

80

90

Latit

ude

-90

-80

-70

-60

-50

-40

-30

-20

-10

0

10

20

30

40

50

60

70

80

90

Latitude

1 4 7Jun

1.00

13.55 13.55

18.76 18.76

23.98 23.98

29.19 29.19

34.40 34.40

39.62 39.62

44.83 44.83

50.04 50.04

55.25 55.25

60.47 60.47

65.68 65.68

70.89 70.89

76.10 76.10

108.00

Min: 1.22952 Max: 107.294 Mean: 0.0074275EXP = FEGD, DATA PERIOD = 2010060100 - 2010060712

STDV OF OBSERVATIONS [K ], ALLCHANNEL = 1


STD of OBS

01-07 June

H-pol

V-pol

Global statistics: Standard monitoring

Hovmoeller Diagrams


Global statistics: Time Series

TB average (OBS)

Nbr observations


(FG_DEPAR)

45°-50°

std (OBS, FG, FG_DEPAR)

Routine production of time series in different geographical areas

Global (land), 01-06 Jun-2010 (30°- 35°)

TBH TBV


► ECMWF main objectives using SMOS data are: monitoring and data assimilation

► Implementation of SMOS data in the IFS is very complex and challenging,

► The ‘SMOS chain’ depends critically on the NRT product latency,

► An offline data monitoring webpage is available since Dec.09 and regularly

updated a follow-up update will substitute current data monitoring by temporal

statistics.

► Preliminary analyses on first-guess departures suggest that:

• RFI is the most important source of positive and negative bias,

• As expected, snow, ice, mountains, boreal forests and dry areas produce also a

significant disagreement with observations, greater in H than in V-pol,

• Operational monitoring products of SMOS observation characteristics permit to identify

any source of systematic differences with observations.

► Lot of information in the multi-angular and multi-polarised signal !

Summary


► On going activities:

• Re-structuration of internal data base to efficiently handle SMOS data,

• Implementation of the Ocean Emission Model from Argans,

• Preparing SMOS chain for operations,

• Testing routine production of global statistics in NRT,

► Future activities:

• Noise filtering,

• Sensitivity of the SM analysis to different multi-angular and multi-polarised configurations of the observations,

• Development of a bias correction scheme,

• … many others…

• Assimilation of SMOS data in the IFS.

Current and future activities


Thanks !


Back-up slides


Faraday Effect over land

H_pol

TBH with Faraday – TBH without Faraday


Faraday Effect over land

TBH with Faraday – TBH without Faraday

V_pol


Observations monitoring – Sea West Coast Australia

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120 130 140 150 160 170 180 190

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bin [0-5]bin [5-10]

bin [10-15]bin [15-20]

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(K)

bin [20-25]bin [25-30]bin [30-35]bin [35-40]

0 4 8

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120 130 140 150 160 170 180 190

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(K)

day of the year

bin [40-45]bin [45-50]bin [50-55]bin [55-60]

TBxx

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bin [0-5]bin [5-10]

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120 130 140 150 160 170 180 190S

TD T

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)

bin [20-25]bin [25-30]bin [30-35]bin [35-40]

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12 16 20 24

120 130 140 150 160 170 180 190

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(K)

day of the year

bin [40-45]bin [45-50]bin [50-55]bin [55-60]

TByy



TBxx TByy

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(K)

bin [20-25]bin [25-30]bin [30-35]bin [35-40]

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120 130 140 150 160 170 180 190

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(K)

day of the year

bin [40-45]bin [45-50]bin [50-55]bin [55-60]

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bin [0-5]bin [5-10]

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120 130 140 150 160 170 180 190ST

D T

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)

bin [20-25]bin [25-30]bin [30-35]bin [35-40]

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12 16 20 24

120 130 140 150 160 170 180 190

STD

TB

(K)

day of the year

bin [40-45]bin [45-50]bin [50-55]bin [55-60]



TBV

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ST

D T

B (

K)

incidence angle

bin [0-5]bin [5-10]

bin [10-15]bin [15-20]bin [20-25]bin [25-30]bin [30-35]bin [35-40]bin [40-45]bin [45-50]bin [50-55]bin [55-60]bin [60-65]

TBH

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ST

D T

B (

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incidence angle

bin [0-5]bin [5-10]

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Map of STD of First Guess Departure over land (Obs – Model)01-07 March


-90

-80

-70

-60

-50

-40

-30

-20

-10

0

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90

Latit

ude

-90

-80

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-40

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-20

-10

0

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90

Latitude

1 4 7Apr

1.00

10.20 10.20

12.85 12.85

15.50 15.50

18.15 18.15

20.79 20.79

23.44 23.44

26.09 26.09

28.74 28.74

31.38 31.38

34.03 34.03

36.68 36.68

39.33 39.33

41.97 41.97

67.00

Min: 1.95899 Max: 66.0809 Mean: 0.0039413EXP = FDHK, DATA PERIOD = 2010040100 - 2010040800STDV OF FIRST GUESS DEPARTURE (OBS-AN) [ ], ALL

CHANNEL = 2STATISTICS FOR RADIANCES FROM SMOS

-90

-80

-70

-60

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-40

-30

-20

-10

0

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Latit

ude

-90

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-40

-30

-20

-10

0

10

20

30

40

50

60

70

80

90

Latitude

1 4 7Apr

0.00

17.32 17.32

19.69 19.69

22.06 22.06

24.43 24.43

26.80 26.80

29.17 29.17

31.54 31.54

33.91 33.91

36.28 36.28

38.65 38.65

41.02 41.02

43.39 43.39

45.76 45.76

68.00

Min: 0.0220971 Max: 67.801 Mean: 0.00543118EXP = FDHK, DATA PERIOD = 2010040100 - 2010040800STDV OF FIRST GUESS DEPARTURE (OBS-AN) [K ], ALL

CHANNEL = 1STATISTICS FOR RADIANCES FROM SMOS

STD of first-guess departures

01-07 april

H-pol

V-pol

Global statistics: Standard monitoring

Hovmoeller Diagrams


Global statistics: Time Series Routine production of time series in different geographical areas

Global area,

02-09 May-2010 (H-pol)

TB average

Nbr observations


25°-30° 45°-50°

190

200

210

220

230

240

250

[K ]

2 3 4 5 6 7 8 9May

OBS

EXP = fdj4Area: lon_w= 0.0, lon_e= 360.0, lat_n= -90.0, lat_s= 90.0 (over All_surfaces)

Channel = 1 (FOVS: 25-30), All dataStatistics for RADIANCES from SMOS/

0

100000

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500000

Num

ber

2 4 6 8May

n_all

-2

-1

0

1

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8

[K ]

2 4 6 8May

(OBS-FG)

175

185

195

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225

[K ]

2 3 4 5 6 7 8 9May

OBS

EXP = fdj4Area: lon_w= 0.0, lon_e= 360.0, lat_n= -90.0, lat_s= 90.0 (over All_surfaces)

Channel = 1 (FOVS: 45-50), All dataStatistics for RADIANCES from SMOS/

0

100000

200000

300000

400000

500000

Num

ber

2 4 6 8May

n_all

-14

-12

-10

-8

-6

-4

-2

0

[K ]

2 4 6 8May

(OBS-FG)



60°N

30°N

0°N

30°S

60°S

60°N

30°N

0°N

30°S

60°S

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W

150°E120°E90°E60°E30°E0°E30°W60°W90°W120°W150°W 0.01

6.47 6.47

7.84 7.84

9.21 9.21

10.58 10.58

11.95 11.95

13.32 13.32

14.69 14.69

16.06 16.06

17.43 17.43

18.80 18.80

20.17 20.17

21.53 21.53

22.90 22.90

105.00

Min: 0.0625 Max: 104.669 Mean: 0.708439EXP = FDHK, CHANNEL = 2 (FOVS: 46-48)

DATA PERIOD = 2010-03-31 21 - 2010-04-06 21STDV OF OBSERVATIONS [ ] (ALL)


Standard deviation of Observations,TBV polarisation, spatial resolution 1° 01-07 April


Date post:	29-Jun-2015
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FR2.L10.1: MONITORING SMOS BRIGHTNESS TEMPERATURES AT GLOBAL SCALE. A PRELIMINARY OVERALL QUALITY...

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