mirs f16 rainfall rate overview and validation
DESCRIPTION
MIRS F16 Rainfall Rate Overview and Validation. F. Iturbide-Sanchez, K. Garrett, C. Grassotti, W. Chen, and S.-A. Boukabara. Outline. MIRS Rainfall Rate Validation with TRMM Precipitation Radar-Based (TRMM-2B31) Product. a.F16 Rainfall Rate - PowerPoint PPT PresentationTRANSCRIPT
F. Iturbide-Sanchez
June 12, 2009
MIRS F16 Rainfall Rate Overview and Validation
F. Iturbide-Sanchez, K. Garrett, C. Grassotti, W. Chen, and S.-A. Boukabara
F. Iturbide-Sanchez
June 12, 2009
Outline
I. MIRS Rainfall Rate Validation with TRMM Precipitation Radar-Based (TRMM-2B31) Product.
a. F16 Rainfall Rate
II. MIRS Rainfall Rate Validation with CPC Precipitation.
a. Daily Composite Precipitation Estimateb. F16 Daily Precipitation Estimate
F. Iturbide-Sanchez
June 12, 2009
MIRS F16 Rainfall Rate MIRS N18 Rainfall Rate
F16 Rainfall Rate Compared to N18 Rainfall Rate
Same regression algorithm (based on MSPPS) is used to derive F16 and N18 rainfall rate. Main differences are due to the different temporal and spatial coverage.
F. Iturbide-Sanchez
June 12, 2009
F16 Rainfall Rate (mm/hr) N18 Rainfall Rate (mm/hr)
Comparison over Land based on nearly four months of Collocations with TRMM-2B31
F16 rainfall rate has shown comparable correlation, bias and standard deviation to N18 rainfall rate when compared to TRMM-2B31 Rainfall Rate over Land.
Corr=0.6601 nPts=7447 Bias=-0.0066 Stdv=0.5317
Corr=0.5466 nPts=12774 Bias=-0.0375 Stdv=0.46872
TRM
M-2
B31
Rai
nfal
l Rat
e (m
m/h
r)F16 and N18 Rainfall Rate Compared to TRMM-2B31 Rainfall Rate Over Land 1/2
F. Iturbide-Sanchez
June 12, 2009
F16 Rainfall Rate (mm/hr) N18 Rainfall Rate (mm/hr)
F16 and N18 rainfall rate show similar probability distribution of rainfall rate when compared to TRMM-2B31 Rainfall Rate over Land.
Binsize=1.0 mm/hr Binsize=1.0 mm/hr
Comparison over Land based on nearly four months of Collocations with TRMM-2B31
F16 and N18 Rainfall Rate Compared to TRMM-2B31 Rainfall Rate Over Land 2/2
F. Iturbide-Sanchez
June 12, 2009
F16 Rainfall Rate (mm/hr) N18 Rainfall Rate (mm/hr)
F16 rainfall rate has shown comparable correlation, bias and standard deviation than N18 rainfall rate when compared to TRMM-2B31 Rainfall Rate over Ocean.
Corr=0.5896 nPts=23552 Bias=-0.0101 Stdv=0.45084
Corr=0.4099 nPts=34346 Bias=-0.0041 Stdv=0.54404
Comparison over Ocean based on nearly four months of Collocations with TRMM-2B31
F16 and N18 Rainfall Rate Compared to TRMM-2B31 Rainfall Rate Over Ocean 1/2
TRM
M-2
B31
Rai
nfal
l Rat
e (m
m/h
r)
F. Iturbide-Sanchez
June 12, 2009
F16 and N18 rainfall rate show similar probability distribution of rainfall rate when compared to TRMM-2B31 Rainfall Rate over Ocean.
F16 Rainfall Rate (mm/hr) N18 Rainfall Rate (mm/hr)
Binsize=1.0 mm/hr Binsize=1.0 mm/hr
Comparison over Ocean based on nearly four months of Collocations with TRMM-2B31
F16 and N18 Rainfall Rate Compared to TRMM-2B31 Rainfall Rate Over Ocean 2/2
F. Iturbide-Sanchez
June 12, 2009
II. MIRS Rainfall Rate Validation with CPC Precipitation.
F. Iturbide-Sanchez
June 12, 2009
CPC Gauge-Based Analysis Precipitation
NOAA Climate Prediction Center (CPC) Gauge-Based Analysis of Global Daily Precipitation represents a unified precipitation product with consistent quantity and improved quality that combines all information sources (state networks, automatic stations, etc.) available at CPC.
Number of CPC Gauge Stations CPC Daily Precipitation
F. Iturbide-Sanchez
June 12, 2009
CPC Precipitation
Precipitation Estimate N18
Precipitation Estimate F16
Comparison Between Daily CPC Precipitation and Daily Precipitation Estimate from N18 and
F16 Over North America 1/2
F. Iturbide-Sanchez
June 12, 2009
MIRS N18 vs CPC Precipitation MIRS F16 vs CPC Precipitation
Corr=0.425106 nPts=3893 Bias=0.56842 Stdv=5.86196
Corr=0.522465 nPts=3893 Bias=-2.53102 Stdv=14.6943
Comparison Between Daily CPC Precipitation and Daily Precipitation Estimate from N18 and
F16 Over North America 2/2
F16 Precipitation Estimate shows correlation, bias and standard deviation comparable to N18 Precipitation Estimate relative to CPC
Precipitation
F. Iturbide-Sanchez
June 12, 2009
Comparison Between MIRS and CPC Daily Precipitation Over North America
Correlation between F16 Precipitation Estimate (PE) and CPC Precipitation is comparable to the correlation computed between CPC Precipitation and both N18 PE and MetopA PE.
Composite Precipitation Estimate (N18, MetopA
and F16)
Precipitation Estimate From Single Sensor
F. Iturbide-Sanchez
June 12, 2009
MIRS Precipitation Estimate (Composite: N18, MetopA and F16)
Precipitation Estimate N18
Precipitation Estimate MetopA Precipitation Estimate F16
Daily Precipitation Estimate From Single and Multiple Sensors (F16, MetopA and N18)
F. Iturbide-Sanchez
June 12, 2009
Comparison Between MIRS and CPC Daily Precipitation Over North America
CPC Precipitation MIRS Precipitation Estimate (Composite: N18, MetopA and F16)
Comparisons between MIRS and CPC precipitation are being performed on a daily basis over North America. These comparisons have been performed daily for more than a month.
F. Iturbide-Sanchez
June 12, 2009
The F16 rainfall rate improves rainfall detection in the MIRS Composite Precipitation Estimate, without significantly affecting the number of false alarms.
Comparison Between MIRS and CPC Daily Precipitation Over North America
Contribution of F16 rainfall rate to MIRS Precipitation Estimate
F. Iturbide-Sanchez
June 12, 2009
Comparison Between MIRS and CPC Daily Precipitation Over North America
F16 rainfall rate improves the correlation between MIRS Composite Precipitation Estimate and CPC Precipitation.
F. Iturbide-Sanchez
June 12, 2009
Conclusions• From comparisons with TRMM-2B31, F16 Rainfall Rate performance
over land and ocean is comparable to the N18 Rainfall Rate.• As expected, the F16 Rainfall Rate distribution reproduces the
properties of the MSPPS distribution.• Addition of F16 Rainfall improves the probability of detection and
correlation coefficient of the MIRS Composite Precipitation Estimate with respect to CPC precipitation.
• Validation results of F16 Rainfall Rate, which includes comparison with radar-based (TRMM-2B31), passive microwave-based (N18) and rain gauge (CPC precipitation) observations, have shown that F16 Rainfall Rate is a MIRS product ready for operations over land and ocean surface types.
• Finally, as shown in previous presentations, improvements to MIRS Rainfall Rate algorithm are in progress.
F. Iturbide-Sanchez
June 12, 2009
F. Iturbide-Sanchez
June 12, 2009
Contribution of F16 Rainfall to the MIRS Composite Precipitation Estimate
MIRS Precipitation Estimate: N18, MetopA and F16
MIRS Precipitation Estimate: N18 and MetopA
F. Iturbide-Sanchez
June 12, 2009
Comparison Between MIRS and CPC Precipitation Over North America