MODISScience Data Support Team

Presentation

Ed MasuokaCode 920.2GSFC/NASA

el~~astloka @ltpst]n. gsfc.llasa. gov

AND

Dr. Albert FleigDepartment of Geography

University of’ Maryland College Park:\fleig@ltpslln. gsfc. nasa. gov

MODIS Science Team Meeting 10/12 /9’1

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SDST

10/94

Topics

Contractor Support

Modeling Exercise

Ancillary Data Set Needs

Q/A Plans

12/94 SIW Readiness ReviewMODIS Science Team Meeting 10/12/94

HAIS Modeling Effort 10/94

● MODIS input to model has TBD’s for someparameters. These will end up zeroed outfor processing or storage.

● Modeling supports:analysis of product growth – Mel Bankspresentation to IWG - Bruce Barkstromcosting of ECS for PDR – HAIS/ECS

● MODIS July 1994 was 3.6 GFLOPS and is now4.9 GFLOPS. The 1.6x multiplier we had inprevious updates was dropped from thelast SPSO database update. Storagevolume grew from 938 GB to 1,082 GB.

MODIS Science Team Meeting 10/12/94

__. — —-— ...... .—

Parameter

Ancillary DataCIOLICi Product

Description

Global Surface Parameters(Temp, Pres, and wind speecI)

Reynolds Blendecl SST— ——.—— ————-.—-

Global Model Profiles(Temp and Moisture)

—

Vegetation Type

Digital Elevation Map

AI RS/AMSU Profiles(Temp and Moisture)

TangibleSource’

1--”--——.—..

NMC

NMC———.

NMC

—..._._——-

GSFCIDAAC

—.—— —-.—.—.—

‘ft~ server and Dathname, archive site, CD ROM

—.—.——-—- .-—-—~.-—.——. ..–——

Type , A~plic~ble Epoch(P/V/D)2 ; (BL/AL/PL)3

p

P

P

P

P——

P

— —.————

ALIPL

AL/PL—.—..—-.—————.—

ALIPL

AL/PL———-——.. ——

ALIPL

PL

2P;oduction (P),’ validation (V), algorithm cievelopment (D)3Before Launch (BL), At Launch (AL), and Post-Launch (PL)

QIA Plans

● Robert Lutz common Q/A for AM instrumentscomments from Evans and Masuoka

● Need to work Q/A plan for MODIS productsImpact on wide area networksQ/A activities at DAAC and SCFCommonality with other instruments

● Needed for data management plan revision inearly November

MODIS Science Team Meeting 10/12/94

A software readiness review ofMODIS will take place in December1994 for Dixon Butler and willcover:

Products to be generated, their phasing, and readiness plans

Software implementation plan and status

Resource requirements for development (hardware and personnel)and status

External interfaces and status (e.g., data dependencies, tool kits,network requirements)

Test plans

QA plans, procedures and resource implications

Plans for receiving and integrating Team Members’ software at theTeam Leader Computing Facility

Plans for participation in integration of MODIS software into theEOSDIS product generation system

Resource requirements for product generation on EOSDIS

Significant problems/issues

This is intended to be more a status re~iew than an algorithm,science or software design review. Sufficient detail should beprovided commensurate u)ith the time to demonstrate that allrelevant developmental issues have been identified and are beingaddressed.

THANKING YOU IN ADVANCE FORYOUR SUPPORT.

Topics

● Flathead Lake - Al Fleig

. Validation Plan - Al Fleig

MODIS Science Team Meeting 10/12/94

Topics

● Beta Software Delivery

● SDST Utilities

● Nested ISSCP Grids

Q LIB Rectified/Mapped

● DAAC Activities

MODIS Science Team Mee[ing 10/12/94

Beta Software Deliveries

● 1/94 Heritage SIWWork the del iverv processDeve 10P ~lans for heritaae s/w

● 1()/94 “MODIS” S/WRelated to ATBDsUses Ancillarv DataMeets ECS programing/ lanquaqe standards

Masuoka MODIS Science Team Meeting 10/94

Beta Software Deliveries

● 4/95 Integrated “MODIS” s/wIntegrated science s/wUse PGS ToolkitRuns on SCF and TLCFRuns with simulated qlobal data sets

“ 7’/95 Deliver Beta s/w to ESDISMeets all ECS StandardsAll at-launch MODIS products

Masuoka MODIS Science Team Meeting 10/94

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The SDST Utility Library for Scan Cube andSimulated Data Set 1/0 will be sent to your softwaredevelopment teams this month

I will:

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1/0 with the Level 1B Scan Cube can be complex

Bands

,,.;,,>,,,,.,,,. ,,,.:ti,,,,,,,;,,, , ,,,,,~,::. &<;f*,;. ,,,,,, ,{. .,,, .,,. .;,,:. !,f”~,

f“ Engineering & Memory Dump Frames(may

alibration Frames(number varies)

Frames

cience Frames(commandable,

1

36

1

1~lo

Scan Lines

be present)

currently 1354)

The MODIS scan cube data structure canbe complex to handle due to differencesin spatial resolution between bands and acommendable number of Science andCalibration frames.

1:. hlii\ili)L;i/Sl )S’I’/l:l CIItIL’:I(l1.,ILL’/’’J’l-l

A Utility Library was Developed to Simplify 1/0

1354

~ A

Engineering & Memory

Calibration Frames

Frame

Science Framesa

with

Dump

the Scan Cube

Frames

\ v‘Data S Header

i The Utility Library uses a Data Set Header1 on each scan cube to set up pointers that

allow algorithms to access data by bands,frames or scan lines via variable names

l~lo without worrying about the internal format.

Scan Line

The Utility Library will be used to simplify 1/0 between Sciencealgorithm-s and simulated data sets - -

CloudHeight

4

I CloudParticleSize

Include File for simulatedLevel 1B

Include File for simulatedGeolocation

Include File for simulatedClassif. Masks

SDST Utility Library

MOD 06 Cloud ProductScience Algorithm

AVHRR inMODIS scancube format

I

} d Geolocation(8 parameters)

Sim~ilated CloudMasks for AVHRR

AHeaders& Sets upPointers toParameters

I

Library handles checking thatcorrect data set is read andsets up pointers to parametersso access can be by name

l?. hl:\\tioL:i/Sl )S’I’/l:l;IIIIr: I(l 1.:IL{./()/’l.l

The Utility Library will simplify 1/0 between Science algorithms

CloudHeight

R“

CloudParticleSize

R“

L

nLibrarySets upoutputData SetHeaders &WritesParametersto outputData Sets

Include File for Level 1B,INPUT

*

Include File for Geolocation,INPUT

I

Include File for Classif. Masks,INPUT 4

Include File for CloudHeight, Cloud EmissivityCloud Temp, OUTPUT

Include File for Cloud Part.Size, Cloud Optical Depth,OUTPUT

SDST Utility Library

LibraryChecksHeaders& Sets upPointers toParameters

4 —Level 1B(36+ parameters)

d

Geolocation(8 parameters)

@

Cloud Masks(24 parameters)

I

I I Library handles checking thatLibrary sets up output data MOD 06 Cloud Product correct data set is read andsets in structures specified Science Algorithm

by include file to simplifysets up pointers to parametersso access can be by name

input by other algorithms

1{, Nlilsll(lLik/sl )s’r/l~l;llll(’iltl I .clA[/’)/’)l

To Use the Utility Library You Need:

●

●

●

●

Include files for each data set that will bewritten by the library. SDST can help.

The names of variables in each data set

Information about each variable (units, howcalculated)

The utilities are written in C (SDST will need todevelop a wrapper if you are deliveringFORTRAN 77 or FORTRAN 90)

MODIS Science Tean~ Meeting 10/94

But there is also HDF.

● Self describing data structures

●Approved by ECS for archival

and production

● Supports viewers

● May support our scan cubeMODIS Science Teanl Meeting !O/ 12/94

I

}

Data Type Taxonomy

TSeienw

DalaTable

II

I

1~ II

“< Access

Does Code Image Tables

1OIR, ItiV

I Oti II 1 Wm

r 1 I 11 FlodiKth

ASCIIText

tlktqDintary ASCII Bintafy 8-bit 24-bil ~ SUHH

I Gti ALG U ~, ~

d ~ stats

Swath

● Simple

- Created by a sensor making N observations in theacross-track direction. The along-track directioncauses the footprint to form a ribbon of M scans aIongthe subnadir track. The data forms an array ofobservations N by M by L (where L is the number ofdata channels taken for each observation time). Anadditional array of gee-location or observation timedata is provided at a resolution equal to or lower thanthe observations

● Indexed

– Similar to the Simple Swatl~ but may haveobservations of varying resolution

Sensor

cl+

●

GridStructured ● Rectangular

- Data which has been projected and binnedinto a non-rectilinear data structure using aknown methodology. Metadata such asprojection name, projection limits, &geometry are included in order to identifygee-location and coverage of data structurecells

– Data which has been projected andbinned into a rectangular grid ~]sing aknown methodology. Metadata such asprojection name, projection limits, &geometry are included in order toidentify geo-Iocation and coverage ofgrid ceils.

ISSCP Grid - Nested Cells (from 9.28 km down)—

18.55 km(1Oarc rein)

L’

I

I

0.93 km ~ –

1.28 km; arc rein)

*

:30 arc see) ~

0.46 km \ 4.64 km(15 arc see) (150 arc see)

__— ——.———.—

_—.-———

—

10/11 /94 Robert Wolfe/MOfllS SDS r

ISSCP Grid Nesting Issues

Nesting Advantages

Only Needed Horizontally - ISSCP Grid Naturally Nested Vertically

Boundaries Line up Nicely Within 9.28 km Area - Interpolation Easier

Area Based Compression (Quad tree) Can be Used

Is 9.28 km the “best” nesting size?

Satisfies Equal Area Criteria

Oceans Currently Use 9.28 km Grid Size

Most Land/Ocean Grid Sizes Handled - Land/Sea Boundary

Atmosphere may Use 18.55 km or Larger Grid

Indexing Uses Hybrid Approach

Simplifies Indexing within Nested Area

Uses Standard ISSCP Indexing when Crossing Upper/Lower Boundaries

Roberi Wolfe/MODIS SDST

MODIS Scanning Geomet~

/

MODIS/ScienceTeam Meeting Page -2 V. L. Wb, T. E. Goff

10I11I94

:

/

20km

\

Pixel Size Growth and Overlap within a Scan.—-

l165km

..

3((.(-)c)o(-)c6,<),,

,.,,

!,

;.):

i

8

17°

Scan 1

Scan 2

Scan 3

:,!,

,,,,

,:

0°

1‘\

10km

//

I

f?ohert Wolfe/MOI)l S SDST

DAAC activities with SDST

● GSFC DAACDistribution of

. EDC DAACATM link from

MAS

TLCF toto provide access toAVHRR at lkm

EDCglobal

MODIS Science Team Meeting 10/12/94