Ice Water Path (IWP)

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Ice Water Path (IWP)
ICE WATER PATH STUDY USING PASSIVE MICROWAVE SENSORS DURING CLOUD LIFE CYCLE OVER BRAZIL
Ramon Campos Braga
INPE‐graduate student
Advisors:Carlos Frederico Angelis and Daniel Alejandro Vila
SUMMARY
•
•
•
•
•
•
•
INTRODUCTION
OBJECTIVES
REGION OF STUDY
DATABASE
METHODOLOGY
PRELIMINARY RESULTS WITH AMSU‐B/MHS
FUTURE PLANS
INTRODUCTION
• Ice Water Path (IWP) has a strong influence on the radiation budget
and rain rate estimation using satellites information, mainly in
overshooting clouds;
• Therefore, satellites with microwave sensors on board are an
important tool on the estimation of IWP and rain rates over the
continent;
OBJECTIVES
• Study the relation between IWP and its rain rates (RR) over Brazil,
using information from AMSU‐B, MHS and SSMI/S sensors.
• The focus of this study is to compare IWP, in the cloud life cycle
stages determined by FORTRACC;
• The rain rates from satellites will be compared with radar data
(RRx);
REGION OF STUDY
Belém‐Pa
•Squall Lines
•ITCZ
Fortaleza‐Ce
•Easterly Disturbances
•ITCZ
•Warm Clouds
S. J. dos Campos‐Sp
•ZCAS
•Cold Fronts
•Orographic Precipitation
DATA
‐Satellite (MW)
SATELLITE
SENSOR
CHANEL
FREQUENCY (GHz)
TRACK
RESOLUTION (km)
NOAA-16
AMSU-B
1,2,3,4 e 5
89 , 150, 183+/-1, 183+/-3 e 183+/-7
CROSS-TRACK
16*
NOAA-17
AMSU-B
1,2,3,4 e 6
89 , 150, 183+/-1, 183+/-3 e 183+/-7
CROSS-TRACK
16*
NOAA-18
MHS
1,2,3,4 e 7
89 , 157, 183+/-1, 183+/-3 e 183+/-7
CROSS-TRACK
17*
NOAA-19
MHS
1,2,3,4 e 8
89 , 157, 183+/-1, 183+/-3 e 183+/-7
CROSS-TRACK
17*
DMSP-F16-18
SSMIS
9,10,11,17 e 18
183+/-6, 183+/-3 e 183+/-1, 91.65 e 150
CONIC
14+
‐Satellite (IR)
SATELLITE
GOES-12
CHANEL
4
WAVELENGHT(µm)
10.7
GRID(km)
4X4
‐Radar
RADAR
CAPPI(RAIN)
GRID(Km)
CAPPI (REFLETIVITY)
GRID(km)
PERIOD
BELÉM
2KM
0.2 X 0.2
3KM
1X1
JUN(2011)
FORTALEZA
2KM
0.2 X 0.2
3KM
1X1
ABR-MAI(2011)
SJC
2KM
0.2 X 0.2
2KM
1X1
NOV-MAR(2011-2012)
METHODOLOGY
• AMSU/MHS Retrieval Flux(Zhao e Weng, 2002):
METHODOLOGY
• RRx and radar reflectivity from X‐band radar of CHUVA Project
(Cloud Processes of the Main Precipitation Systems in Brazil: A
Contribution to Cloud Resolving Modeling and to the Global
Precipitation Measurement).
• RRx calculation:
 Z  35 e Kdp  0 .3
Z 
 Z  35 e Kdp  0 .3
(GEMATRONIK,2007)
Z  200 RRx 1.6
RRx  19 .63 | K dp | 0.823
METHODOLOGY
• The radar cloud classification is performed by the use of the
horizontal reflectivity in an specific level: (STEINER et al., 1995)
1) If Z > 39dBz, convective;
2)
10 ,

 Z  10  Z bg / 180 ,

 0,
3) Z > 5, stratiform. Z bg  0
0  Z bg  42 .43
Z bg  42 .43
METHODOLOGY
• FORTRACC (Vila et al., 2008)
METHODOLOGY
• Flowchart
IWP and RR retrieval
RRx Assimilation
Life cycle retrieval
using FORTRACC
Merge of data retrieval/assimilated
Statistical analysis
Cloud Classification
using Radar
PRELIMINARY RESULTS WITH AMSU‐B/MHS
• RRx; RR; IWP
PRELIMINARY RESULTS WITH AMSU‐B/MHS
•
Radar Cloud Classification
PRELIMINARY RESULTS WITH AMSU‐B/MHS
• FORTRACC
Sistema Convectivo 253 - Observado em 110609 - 1815 GMT
Lat
Long
Tmin
Vel
Dir
TVida
Área
Taxa
Situação
-1.38 -48.75 212.00 -999.90 -999.00 0.00
84.0
-999.90 Desintensific.
-1.36 -48.79 210.00 6.17
314.00
0.28
126.0 392.20
-1.25 -48.83 214.00 18.03
341.00
0.50
-1.23 -48.87 215.00 4.36
270.00
-1.23 -48.91 214.00 5.69
Classe Tipo
N
I
Intensificando
C
I
213.0 658.00
Intensificando
C
I
0.78
245.0 137.00
Intensificando
C
I
270.00
1.00
248.0 15.60
Estavel
C
I
-1.16 -48.96 210.00 9.75
333.00
1.28
268.0 76.00
Intensificando
C
I
-1.10 -49.00 207.00 8.06
314.00
1.50
259.0 -43.80
Estavel
C
I
-0.97 -49.09 207.00 12.75
333.00
1.94
221.0 -121.60 Desintensific.
C
P_03
0
-0.89 -49.15 207.00 6.97
314.00
2.44
199.0 -58.20
Desintensific.
C
P_06
0
-0.79 -49.25 208.00 6.97
314.00
2.94
170.0 -87.30
Desintensific.
C
P_09
0
-0.54 -49.34 209.00 15.61
341.00
3.44
185.0 46.90
Estavel
C
P_12
0
PRELIMINARY RESULTS WITH AMSU‐B/MHS
PRELIMINARY RESULTS WITH AMSU‐B/MHS
PRELIMINARY RESULTS WITH AMSU‐B/MHS
PRELIMINARY RESULTS WITH AMSU‐B/MHS
PRELIMINARY RESULTS WITH AMSU‐B/MHS
CIDADE
VARIÁVEL
COR
BIAS
POD
FAR
HEIKE
AGREE
RMS
BELÉM
TAXA DE CHUVA
0,35
1,21
0,98
0,33
0,24
0,12
3,76
FORTALEZA
TAXA DE CHUVA
0,43
0,35
0,83
0,41
0,46
0,11
3,08
S. J. DOS CAMPOS TAXA DE CHUVA
0,40
0,43
0,85
0,56
0,18
0,13
3,64
S. J. DOS CAMPOS
VARIÁVEL:
TAXA DE CHUVA
CICLO
COR
BIAS
POD
FAR
HEIKE
AGREE
RMS
INI
0,19
1,65
1,00
0,50
0,21
0,22
3,80
INT
0,38
0,62
0,92
0,43
0,05
0,20
4,80
EST
0,08
0,24
0,95
0,54
0,20
0,16
3,54
DES
0,68
‐0,05
1,00
0,42
0,27
0,14
5,40
NAO
0,35
0,96
0,90
0,69
0,09
0,12
2,47
FUTURE PLANS
• USE SIGNIFICANT DATA AMOUNT FOR STATISTICAL
ANALYSES OF IWP AND RR IN FUNCTION OF THE
CLOUD LIFE CYCLE.
• EXTEND THE STUDY FOR MORE AREAS COVERED
BY RADARS IN BRAZIL;
THANK YOU

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