Data Format and Visualization Agenda

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1 Data Format and Visualization Agenda ET-SUP-8 ( ) Suman Goyal, Satellite Meteorology Division, India Meteorological Department,

2 Visualization Methods The satellite data are visualized mainly in two ways in IMD: 1.MIAS (Meteorological Image Analysis Software) 2.Synergie

3 MIAS MIAS (Meteorological Image Analysis Software) Agenda Capabilities Snapshot

4 Introduction Data Visualization and Analysis Tool for Climate and Weather datasets Can access Remote and local data Useful to Scientists (to gain insight into weather and climate phenomena), Modelers (developing diagnostic to explain weather and climate changes) and Software Developers (creating tools to visualize and manipulate data for use by researchers and operational meteorologists) Based on SSEC VisAD (Visualization for Algorithm Development) and Unidata IDV(Integrated Data Viewer)

5 Major Capabilities Supports Current Datasets (Standard Products and Geophysical Parameters) from Current Indian Meteorological Satellites: INSAT-3D, Kalpana-1, and INSAT-3A VHRR/CCD Analysis Stretching and LUT Application Data Probe/ Time Series and Transects Image Arithmetic Derived Quantities Visualization: Plan View Vertical cross section Vertical profile Iso-surface Volume rendering Combining multiple data set

6 Major Capabilities (Cont..) Data access: Numerous data type: satellite, observations, model analysis Format Support: NetCDF, GRIB, HDF-4/5, AREA, Shapefiles, ASCII. Remote: THREDDS, OpenDAP, ADDE, http and ftp URLs

7 MIAS (INSAT-3D Imager)

8 Color Filled Contours Rainfall [IMSRA]

9 INSAT 3D Sounder Channels (Simulated from IASI)

10 INSAT 3D Sounder Channels (VISIBLE & SHORT WAVE IR)

11 INSAT 3D Sounder Channels (MID WAVE IR)

12 INSAT 3D Sounder Channels (LONG WAVE IR)

13 Temperature Profile (Plan View)

14 Temperature Profile

15 Vertical Cross-Section

16 Vertical Point Probe

17 Point Volume

18 Surface Skin Temperature

19 Mean Surface Pressure & Surface Skin Temperature Mean Surface Pressure Surface Skin Temperature

20 Kalpana-1 (Data Probe/ Time Series)

21 Data Transect Transect Line Variation of OLR along that transect

22 Derived Quantities Wind Barbs (derived from U and V Components of Wind)

23 Advanced 4 D4 Interactive Visualization

24 Iso-Surface (Thane cyclone) Oblique View (Wind Speed: 35 m/s) WRF Model Output

25 Model Data Iso-Surface (Thane cyclone) Top View (Wind Speed: 35 m/s)

26 Combining Iso-Surface and Vertical Cross Section

27 Volume Rendering Thane Cyclone

28 Vector Plan View

29 Vector Cross Section

30 Introduction (Synergie System) Synergie System: Synergie System is a powerful tool for visualization as well as forecasting. Focus on weather expertise instead of losing time accessing the information Share their expertise with their colleagues and transfer their know-how to junior forecasters Prepare, save and replay quickly their preferred weather animations Take advantage of multi-screens with a GUI (Graphic User Interface) based on multi-windows Use collaborative tools for graphical production of expertise data

31 Ability of the system to ingest all available data The WFS supplied will be able to ingest at least each of the data streams outlined below: NWP GRIB coded compliant with WMO format Satellite: HRIT/LRIT, VCS XPIF Satellite: Polar orbital, VCS XPIF Observations: SYNOP, SHIP, BUOYS, SATOB, AMDAR and BUFR Upper Air Soundings: TEMP, PILOT and BUFR Lightning: Radar: BUFR AFTN, SADIS SIGWX: BUFR

32 Software applications Display applications Description Plotting Model Satellite Radar :Display of plotted observation (ground level and upper air) :Display of numeric model output (atmospheric and seastate) :Display of satellite images :Display of radar products Vertical profile :Display of radio sounding (from model or observations) Metgram Fax Alpha :Display of chronological graphs :Display of T4 analyzed or forecast map :Display of messages in text Production applications : Description SIGWX editor :Graphical edition of SIGWX maps

33 Modernized Forecasting System : Synergie Global plotting Conditional plotting Profile Gauges Plane trajectories

34

35 Export an expertise from a model output display to a satellite picture display window

36 Cloud classification: overlaid observed parameters (Cloudiness, Cl, Cm, Ch)

37 Produce a SigWX using the full set of SYNERGIE s functionalities

38

39 Unprecidented Real-Time Satellite Capabilities: Data Fusion

40 Imagery of Kalpana I of 2200UTC Eye is not seen. Tropical Cyclone Module and Microwave) : - Microwave imageries being used Tropical cyclone module Has been installed and will be utilised along with Navy NRL website to analyse microwave imageries. Imagery of F-16, 6 th Nov 2010 (01:29 UTC) Image of TRMM 2344Z of Giri Eye is clearly seen.

41 Analysis The input would be made more objective by analysing various products through Synergie system. Isobaric analysis at mean sea level at 12UTC of 28 April 2006 Isobaric analysis at mean sea level during cyclone, Phet at 00 UTC of 03 June 2010

42 Comparative analysis of tools and techniques by the end of 2007 and Paramete rs Intensity monitori ng Tools/technique by end of 2007 Satellite (Visible and infrared imagery), Radar, Quikscat, Ascat, AMV Additional tools/technique by end of 2011 Microwave imagery, enhanced DWR network, buoy network, Oceansat- II, Tropical Cyclone Module

43

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