Blended Rain Rate Stan Kidder 23 February 2010

  • Slides: 13
Download presentation
Blended Rain Rate Stan Kidder 23 February 2010

Blended Rain Rate Stan Kidder 23 February 2010

Objective To develop a Blended Rain Rate product, like the Blended TPW product, which

Objective To develop a Blended Rain Rate product, like the Blended TPW product, which will be of use to forecasters. �Must combine as much satellite data as possible into one product �Must be as timely (least latency) as possible �Must be as free as possible of distracting artifacts �Must be accessible to forecasters in formats and map projections that they can use (Mc. IDAS, AWIPS) 2

How It Works Data Ingest ( FTP from DDS) Product Generation (DPEAS) Web Server

How It Works Data Ingest ( FTP from DDS) Product Generation (DPEAS) Web Server Product Archive 3

Data Ingest Andy Jones’s Chair 4

Data Ingest Andy Jones’s Chair 4

Everything Else Product Generation and Web Server Archive 5

Everything Else Product Generation and Web Server Archive 5

DPEAS Processing Swath Ingest Application of Blending Algorithm Swath Mapping Compositing 6

DPEAS Processing Swath Ingest Application of Blending Algorithm Swath Mapping Compositing 6

The Blending Algorithm 7

The Blending Algorithm 7

5 -Day Histograms (of raining pixels) 1. 0 0. 25 OCEAN “LAND” SSM/I 0.

5 -Day Histograms (of raining pixels) 1. 0 0. 25 OCEAN “LAND” SSM/I 0. 25 mm/hr bins PDF MHS AMSU-B 0. 0 0 2 4 6 SSM/I shows expected “lognormal” distribution, but AMSU-B and MHS do not 8 10 0. 0 0 2 4 6 8 10 Rain Rate (mm/hr) Over “land” all PDFs are similar 8

Cumulative PDF CPDF 1. 0 Interpolate CPDFs to correct RR OCEAN 0. 0 0

Cumulative PDF CPDF 1. 0 Interpolate CPDFs to correct RR OCEAN 0. 0 0 Corrected RR 2 4 6 8 Rain Rate (mm/hr) 10 Input RR 9

The Algorithm �No correction over land (=“not ocean”) �No correction for SSM/I �For AMSU-B

The Algorithm �No correction over land (=“not ocean”) �No correction for SSM/I �For AMSU-B and MHS over ocean �No correction for RR > 5 mm/hr �Only negative corrections allowed �All scan positions treated the same �DMSP F 13 SSM/I is the “reference satellite” � Fortunately, I captured DMSP F 13 histograms to be used in the event of its failure �Linearly interpolate the CPDFs to get correction 10

Before Note lack of rain rates below 0. 5 mm/hr All AMSU-B or MHS

Before Note lack of rain rates below 0. 5 mm/hr All AMSU-B or MHS Too much blue and green 11

I SSM/ AMS U-B o r MH S After AMSU-B and MHS look a

I SSM/ AMS U-B o r MH S After AMSU-B and MHS look a lot more like SSM/I than they would have without correction 12

http: //cat. cira. colostate. edu 13

http: //cat. cira. colostate. edu 13