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TRMM Data in Giovanni

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Sampling footprint between 35 S and 35 N, with some composite data (TRMM ... Alex, Charley, Gaston. Mid- Atlantic Region. Isabel. 2D Plots (Record-Breaking Rainfall in ... – PowerPoint PPT presentation

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Title: TRMM Data in Giovanni


1
TRMM Data in Giovanni
Zhong Liu George Mason Univ. NASA GSFC DISC
the Giovanni Science Team AMS Giovanni Short
Course January 11th, 2009
2
Outline
  • TRMM Overview
  • TRMM Products in Giovanni
  • Giovanni Instance Overview
  • Samples
  • Summary

3
Tropical Rainfall Measuring Mission (TRMM)
  • Sampling footprint between 35S and 35N, with
    some composite data (TRMM additional satellite
    or other met data) extending to 50S-50N
  • 4-D distribution (3-D time) of rainfall and
    latent heating over vastly under sampled oceanic
    (esp. So. Hem.) and tropical continental regimes

4
Why is TRMM so important?
  • TRMM is the first satellite mission to establish
    the global distribution of rainfall at the
    Earths surface.
  • Instruments
  • Precipitation Radar (PR) 247 km swath width x 5
    km instantaneous FOV
  • TRMM Microwave Imager (TMI) 878 km x 5.1 km
    FOV, 85.5GHz)
  • Visible and InfraRed Scanner (VIRS) 833 km x 2.4
    km FOV

Courtesy of trmm.gsfc.nasa.gov
5
TRMM has filled many gaps in our understanding of
the global distribution of rainfall, including
  • frequency distributions of rainfall intensity and
    areal coverage
  • the partitioning of rainfall into convective and
    stratiform categories
  • the vertical distribution of hydrometeors
    (including the structure and intensity of the
    stratiform region bright band) and
  • the variation of the timing of heaviest rainfall.

6
TRMM Products and Services in Giovanni
  • TRMM Near Real-Time (NRT) Rainfall
  • TRMM Rainfall Archives
  • Corresponding Ground-based Observations of
    Rainfall
  • Other non-TRMM Ancillary Data Products

7
Near Real-Time (NRT) TRMM Rainfall Datasets
  • 3-Hourly Microwave (3B40RT)
  • Hourly IR (3B41RT)
  • 3-Hourly Combined (3B42RT)
  • Daily (derived from 3B42RT)

8
  • Experimental Real-Time TRMM Multi-Satellite
    Precipitation Analysis (TMPA-RT, 3B42RT)
  • Daily Global and Regional Rainfall (TMPA-RT,
    3B42RT derived)
  • TMPA-RT Intermediate IR Product (3B41RT, VAR)
  • TMPA-RT Intermediate Microwave Product (3B40RT,
    HQ)

9
TRMM Rainfall Archives
  • 3-Hourly (3B42)
  • Daily (derived from 3B42)
  • 10-day (derived from 3B42)
  • Monthly (3B43, 3A12, 3A25, GPCP, etc.)

10
  • Monthly Global Precipitation (GPCP)
  • Prototype Interactive Intercomparison of Rainfall
    Products
  • 3-hourly TRMM and Other Rainfall Estimate (3B42
    V6)
  • Daily TRMM and Other Rainfall Estimate (3B42 V6
    derived)
  • Monthly TRMM and Other Data Sources Rainfall
    Estimate (3B43 V6)
  • Monthly Rainfall (3B43 V6) Anomaly
  • Inter-Comparison of Rainfall Climatology
  • Monthly TMI Rain, Latent Heat, Cloud Liquid Water
    Profiles (3A12 V6)
  • Monthly Rainfall (3A25 V6)

11
  • Willmott (1950-1999, 0.5 deg)
  • GPCC (1986present, 1 deg)
  • GPCP (based on GPCC)

Ground-based Rainfall Observation Archives
12
Other Ancillary Data Products
  • A-Train (CloudSat)
  • Aerosols (e.g., MODIS)
  • AIRS
  • NASA Hurricane Portal (merged IR, QuikSCAT,
    TMI SST, NCEP Reanalysis)
  • http//disc.sci.gsfc.nasa.gov/hurricane/

13
NEW!
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15
Two types of GUIs
16
NEW!
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22
Giovanni Analytical Services and Operations
Animation Lat-Lon Area Plot, Time-averaged
Lat-Lon Plot, Difference Map Latitude-Time
Hovmöller Plot Longitude-Time Hovmöller Plot
Correlation Plot Comparison Plot Cross-Map
Plot (Latitude-Height) Cross-Map Plot
(Longitude-Height) Cross-Map Plot (Time-Height)
Scatter Plot Scatter Plot, Time-averaged Time
Series, Area-averaged Time Series Difference
Time Series, Area Statistics
23
  • Time Series Plots

Alex, Charley, Gaston
Mid- Atlantic Region
Floyd
Isabel
24
  • 2D Plots (Record-Breaking Rainfall in
  • the Mid-Atlantic Region in 2003)

25
  • 2D Plots (Hurricane Isabel in 2003)

Isabel
26
  • Hovmöller Diagram (Mid-Atlantic Region)

Multiple Tropical Storms
Isabel
Floyd
27
Anomaly (positive anomaly Isabel in Sept. 2003)
28
Scatter Plot (Error vs. Rain Rate, revealing
biases)
29
ASCII data output for further analysis (MS Excel)
30
Summary
  • Precipitation products in Giovanni ranging from
    hourly to monthly
  • Many functions available for visualization and
    analysis
  • Data can be downloaded for further analysis
  • More applications will be presented shortly
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