COMPUTATIONAL CAPABILITY OF REGIONAL SATELLITE INFORMATION INTERNET - - PowerPoint PPT Presentation

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COMPUTATIONAL CAPABILITY OF REGIONAL SATELLITE INFORMATION INTERNET RESOURCE Engel M.V., Afonin S.V. , Belov V.V. , Kulikov G.E.

V.E. Zuev Institute of Atmospheric Optics SB RAS,

1 Akademichesky Ave., Tomsk 634055, Russia Phone: +7 3822 491081; fax: +7 3822 492086; e-mail: (angel,afonin,belov)@iao.ru gleb@asd.iao.ru

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1) 1) Solving problems of satellite monitoring Solving problems of satellite monitoring

• f the atmosphere and underlying surface
• f the atmosphere and underlying surface

by the well by the well-

• known methods and

known methods and development of new methods of satellite development of new methods of satellite data processing data processing. . 2) 2) Validation of satellite data invoking Validation of satellite data invoking ground ground-

• based measurements and

based measurements and I nternet resources. I nternet resources. 3) 3) Study of spatiotemporal variability of the Study of spatiotemporal variability of the environmental characteristics in the environmental characteristics in the region. region.

General designation of the system:

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Western Siberia Region

59°N, 66°E 90°N, 66°E 59°N, 50°E 90°N, 50°E

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NOAA POES

1998-2005

ATOVS, AVHRR

Satellite information databases as an information basis of the Internet resource (Part I)‏

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MODI S Atmosphere Products (MODI S- AP) were obtained from the NASA Distributed Active Archive Centres

MODI S Precipitable Water MODI S Precipitable Water Products Products (Level 2, Collection 005)‏

MOD04

TERRA

2001-2006

MYD04 AQUA

2003-2006

MODI S Aerosol Product (Level 2, Collection 005)‏

MOD04

TERRA

2001-2006

MYD04 AQUA

2003-2006

TMODI S Atmospheric Profile TMODI S Atmospheric Profile Product Product (Level 2, Collection 005)‏

MOD04

TERRA

2001-2006

MYD04 AQUA

2003-2006

(Part II)‏

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B r

• w

s e r

Server of the NOAA database

Linux

Server of the MODIS database

ZOPE, PYTHON Apache Server

Program for thematic processing of the NOAA data Program for thematic processing of the MODIS data Program for preliminary processing

• f the

NOAA data Program for preliminary processing

• f the

MODIS data

NOAA DB MODIS DB

Architecture of regional satellite data software package

PostgreSQL

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Flowchart of the WEB-resource operation

Авторизац ия Avtorization Preliminary data processing User accounts Job definition (Selection of data and algorithm)‏ Thematic tasks ZOPE Mailing of messages to users Job scheduler Thematic application System application Output of the results

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• A service module (implementation of service

functions, running of applications).

• A data preparation module (access to file

archives and satellite information databases, running of satellite data preprocessing programs).

• A module for thematic analysis of satellite data.

Program modules realized functional capability of the resource

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The module of thematic analysis includes special software and well-known program packages adapted to the resource content.

The main directions of research:

• Obtaining of the cloud mask and aerosol optical thickness (AOT)

spatial distribution using the NOAA POES data (software has been developed at the IAO SB RAS ).

• The retrieval of atmospheric temperature and moisture profiles,

total ozone, and other atmospheric parameters from ATOVS/TOVS radiance measurements of NOAA POES satellites by means of the IAPP v.2.1 (International ATOVS Processing Package), with various a priori information used as input data.

• A study of spatial and temporal variability of optical and

meteorological atmospheric parameters and their correlation and statistical analysis.

• Testing of algorithms for atmospheric correction of satellite

measurements and fire detection.

• Solution of problems of simulation of distorting atmospheric effects

and atmospheric correction based on the Modtran software using the MODIS ATMOSPHERE PRODUCTS data as a priori information

• n optical and meteorological state of the atmosphere.

A module for thematic analysis of satellite data

Spatial and temporal analysis of optical and geometrical atmospheric characteristics Correlation analysis Calculation parameter selection Statistical analysis The retrieval of optical and meteorological atmospheric characteristics The simulation of distorting atmospheric effects Spectral channel selection

Prototype of the thematic processing data Prototype of the thematic processing data module interface module interface

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AOT, λ= 630nm (MODI S), λ= 660nm (AVHRR)‏ CLOUD MASK

55 60 65 70 70 75 80 85 90 95 100 55 60 65 70

MODI S AVHRR

55 60 65 70 70 75 80 85 90 95 100 55 60 65 70

An example of AOT and cloud mask retrieval

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Spatial and seasonal distribution of the AOT (466nm)‏

45678910

0,05 0,10 0,15 0,20 0,25 0,30 0,35 2001 2003 2005

AOT (466 nm) 4 5 6 7 8 9 10

0,05 0,10 0,15 0,20 0,25 0,30 0,35

Month

AOT (466 nm)

2002 2004 2006 65 70 75 80 85 90 95 100 105

2001-2006 (TERRA)

50 52 54 56 58 60 62 64

0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40

65 70 75 80 85 90 95 100 105

2003-2006 (AQUA)

50 52 54 56 58 60 62 64

Latitude, grad

Longitude, grad

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Spatial distribution correlation coefficient

(limited extent)‏

707580859095100

2001

50 52 54 56 58 60 62 64 707580859095100

2003

50 52 54 56 58 60 62 64 707580859095100

2005

50 52 54 56 58 60 62 64

Longitude, grad Latitude, grad

• 0.40
• 0.20

0.00 0.20 0.40 0.60 0.80 0.90

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Topography L1B L1C L1D

ATOVS and AVHRR Pre-processing Package (AAPP)‏

NORAD_tle TBUS Calibration data L1F Scanex/ RAW HRPconv L1Fconv HRPT minor frame

The International ATOVS Processing Package (IAPP)‏ Vertical profiles of the temperature and humidity, total ozone, and water vapour

A priori data

Surface Data (METAR)‏ ftp//ftp.ssec.wisc.edu/pub/ssec/halw/surface/ Radiosonde data (SRX)‏ ftp//ftp.ssec.wisc.edu/pub/ssec/halw/ Numerical Model Data (GRIB)‏ ftp//ftp.ssec.wisc.edu/pub/ssec/halw/grids/

NOAA POES

Flow chart of the software operation in Flow chart of the software operation in processing of ATOVS/ NOAA satellite data processing of ATOVS/ NOAA satellite data

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Geographical Geographical and and temporal temporal parameters parameters for telemetry selection for telemetry selection Prototype of the interface for Prototype of the interface for definition of definition of input parameters input parameters for AAPP/ I APP for AAPP/ I APP

Temporal interval Temporal interval: :

00.00.00 00.00.00 06.05.01 06.05.01

Beginning of period Beginning of period: :

Date (DD.MM.YY): Time, GMT (HH:MM:SS):

00.00.00 00.00.00 15.05.01 15.05.01

End of period End of period: :

Date (DD.MM.YY): Time, GMT (HH:MM:SS):

N W E S

55.00 55.00 65.00 65.00 90.00 90.00 62.00 62.00

Geographical coordinates Geographical coordinates: : AAPP AAPP

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Retrieval parameters Retrieval parameters Prototype of the interface for definition of Prototype of the interface for definition of input parameters for AAPP/ I APP input parameters for AAPP/ I APP

Retrieval method Retrieval method: : I APP I APP static static dynamic dynamic

Sensors Sensors

HI RS HI RS-

• 3

3 AMSU AMSU-

• A

A AMSU AMSU-

• B

B

Assignment Assignment of a priory data

• f a priory data

about state of atmosphere about state of atmosphere (prediction model (prediction models s, , measurement data measurement data) )‏‏

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74.0 76.0 78.0 80.0 82.0 84.0 86.0 88.0 90.0

Dew Point Temperature

52.0 54.0 56.0 58.0 60.0

Latitude, grad

74.0 76.0 78.0 80.0 82.0 84.0 86.0 88.0 90.0

Total precipitable water

52.0 54.0 56.0 58.0 60.0

Latitude, grad

74.0 76.0 78.0 80.0 82.0 84.0 86.0 88.0 90.0

Total ozone

52.0 54.0 56.0 58.0 60.0

Latitude, grad.

Longitude, grad

Examples of ATOVS data processing Examples of ATOVS data processing

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"The data used in this study were acquired as part of the NASA's Earth Science Enterprise. The algorithms were developed by the MODIS Science Teams. The data were processed by the MODIS Adaptive Processing System (MODAPS) and Goddard Distributed Active Archive Center (DAAC), and are archived and distributed by the Goddard DAAC."

Conclusion Conclusion

The software for thematic processing of satellite data has been developed. A realization of this software in the WEB- resource content allows to solve a great number of actual scientific problems based on satellite data including the retrieval of meteorological and

• ptical

atmospheric parameters, statistical and spatial analysis of theirs, data processing for the purpose of atmospheric correction conducting.

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Thanks for attention!