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Towards Better Utilization of NEXRAD Data in Hydrology Anton Kruger, University of Iowa AGU Fall Meeting San Francisco, December 11, 2006 UCAR/Unidata.

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Presentation on theme: "Towards Better Utilization of NEXRAD Data in Hydrology Anton Kruger, University of Iowa AGU Fall Meeting San Francisco, December 11, 2006 UCAR/Unidata."— Presentation transcript:

1 Towards Better Utilization of NEXRAD Data in Hydrology Anton Kruger, University of Iowa AGU Fall Meeting San Francisco, December 11, 2006 UCAR/Unidata Princeton University National Climatic Data Center The University of Iowa

2 Project Participants The University of Iowa (Lead)The University of Iowa (Lead) –W.F. Krajewski (PI) –A.A. Bradley, A. Kruger, R.E. Lawrence, R. Goska, B. Seo, C Gunyon Princeton UniversityPrinceton University –J.A. Smith (PI) –M. Steiner, M.L.Baeck National Climatic Data CenterNational Climatic Data Center –S.A. Delgreco (PI) UCAR/Unidata Program CenterUCAR/Unidata Program Center –M. K. Ramamurthy (PI) –W.J. Weber

3 Project Goal …to provide the science community with ready access to the vast archives and real-time information collected by the national network of NEXRAD radars. The main focus is on radar-rainfall data for use in hydrology, hydrometeorology, and water resources.

4 User/Client’s View “Find all the 2002 storms over the Ralston Creek watershed with mean areal precipitation greater than X mm, and with a spatial extent of more than Z km 2, with a duration of less than N hours. I want the data in GeoTIFF” User/Client Program Library Get data Connect and query Get URIs HTTP Data Archive Metadata Archive UI Metadata Archive UI “Find all the 2002 storms over the Ralston Creek watershed with mean areal precipitation greater than X mm, and with a spatial extent of more than Z km 2, with a duration of less than N hours. I want the data in GeoTIFF” Web Services (SOAP)

5 Interface Overview

6

7

8 Map Layers

9

10 Domain Selection

11 Drill Down

12

13

14 Grids

15 Grids

16 Mark & Select Basin

17

18 Which Radar?

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20

21 Select Output Grid

22 Select Date

23 Color-coded with metadata Browse Metadata

24 Query Metadata

25

26 Product Selection

27

28 Rainfall Estimation Algorithms

29 Output Format

30 Ready To Go

31 You Will Be Sent an e-mail When Job Is Done

32 Check On Job Status

33 Compute Engine Metadata Archive CUAHSI HIS Data Archive Unidata Extreme Events University A Runoff Model Data Archive Metadata Archive NCDC Injects NEXRAD Data University B Internet Request

34 Some Statistics Total size of radar data: 130 TBTotal size of radar data: 130 TB 8,492,580 files8,492,580 files Mosaics 34559Mosaics 34559 Metadata Rows in Database:4,319,990Metadata Rows in Database:4,319,990 Radars: 33Radars: 33 Radar-years: 84:Radar-years: 84: –For KMLB: 2 years –KTLX: 9 years –KDVN: 6 years –KVTX: 2 years

35 Thank You A Comprehensive Framework for Use of NEXRAD Data in Hydrometeorology and Hydrology NSF Sponsored, Award ATM 0427422


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