Earth and Space Science Informatics [IN]

IN33A  ACC:Chichen-Itza Hall   Wednesday

Earth and Space Science Cyberinfrastructures: Data, Tools, Distribution, and Investigations for International Collaboration: Posters


Presiding: E Cutrim, Western Michigan Univ.; W Gambi de Almeida, INPE/CPTEC

IN33A-01  

Sun-earth environment study to understand earthquake prediction

* Mukherjee, S (dr.saumitramukherjee@usa.net), Jawaharlal Nehru University, Remote sensing Applications Laboratory School of Environmental sciences Jawaharlal Nehru University, New Delhi, 110067, India

Earthquake prediction is possible by looking into the location of active sunspots before it harbours energy towards earth. Earth is a restless planet the restlessness turns deadly occasionally. Of all natural hazards, earthquakes are the most feared. For centuries scientists working in seismically active regions have noted premonitory signals. Changes in thermosphere, Ionosphere, atmosphere and hydrosphere are noted before the changes in geosphere. The historical records talk of changes of the water level in wells, of strange weather, of ground-hugging fog, of unusual behaviour of animals (due to change in magnetic field of the earth) that seem to feel the approach of a major earthquake. With the advent of modern science and technology the understanding of these pre-earthquake signals has become stronger enough to develop a methodology of earthquake prediction. A correlation of earth directed coronal mass ejection (CME) from the active sunspots has been possible to develop as a precursor of the earthquake. Occasional local magnetic field and planetary indices (Kp values) changes in the lower atmosphere that is accompanied by the formation of haze and a reduction of moisture in the air. Large patches, often tens to hundreds of thousands of square kilometres in size, seen in night-time infrared satellite images where the land surface temperature seems to fluctuate rapidly. Perturbations in the ionosphere at 90 - 120 km altitude have been observed before the occurrence of earthquakes. These changes affect the transmission of radio waves and a radio black out has been observed due to CME. Another heliophysical parameter Electron flux (Eflux) has been monitored before the occurrence of the earthquakes. More than hundreds of case studies show that before the occurrence of the earthquakes the atmospheric temperature increases and suddenly drops before the occurrence of the earthquakes. These changes are being monitored by using Sun Observatory Heliospheric observatory (SOHO) satellite data. Whatever the manifestations in the environment of the atmosphere or geosphere may be, there is a positive correlation of CMEs with change in magnetic field followed by aurora borealis or sudden spark of light from the sky before an earthquake. Any change in geomorphology in the pixel level, changes in groundwater level, geochemical anomalies of soils surrounding active faults and vegetation anomalies should be monitored in the mirror image position of sunspots on the earth facing side in reference to CME from the sun.
http:www.jnu.ac.in


IN33A-02  

Increase in Ozone hole and hence UV-B Preceding Earthquakes

* Mukherjee, A (anitasaumitra70@yahoo.co.in), Aditya Institute of Technology, 107/9, Kishangarh, Vasant Kunj,New Delhi-110070, New Delhi, 110067, India
Mukherjee, S (dr.saumitramukherjee2usa.net), Jawaharlal Nehru university, Remote sensing Applications Center, school of environmental Sciences, Jawaharlal nehru university, New delhi-110067, New Delhi, 110067, India

Before the occurrence of earthquake, the change has been observed in ozone hole as well as UV-B flux in the atmosphere of the earth. After earthquake the UV-B flux reduces, which is correlated with the fluctuation in atmospheric temperature as well as Electron flux in Sun-Earth environment. Actual measurement show a linear relationship in between Coronal Mass Ejection and increase in Solar UV- B before the earthquakes in various parts of India.
http:www.jnu.ac.in


IN33A-03  

Whether solar flares can trigger earthquakes?

* Jain, R (rajmal@prl.res.in), Physical Research Laboratory, Physical Research Laboratory (Dept. of Space, Govt. of India) Navrangpura, Ahmedabad, Ahmedabad, 380 009, India

We present the study of 682 earthquakes of ¡Ý4.0 magnitude observed during January 1991 to January 2007 in the light of solar flares observed by GOES and SOXS missions in order to explore the possibility of any association between solar flares and earthquakes. Our investigation preliminarily shows that each earthquake under study was preceded by a solar flare of GOES importance B to X class by 10-100 hrs. However, each flare was not found followed by earthquake of magnitude ¡Ý4.0. We classified the earthquake events with respect to their magnitude and further attempted to look for their correlation with GOES importance class and delay time. We found that with the increasing importance of flares the delay in the onset of earthquake reduces. The critical X-ray intensity of the flare to be associated with earthquake is found to be ~10-6 Watts/m2. On the other hand no clear evidence could be established that higher importance flares precede high magnitude earthquakes. Our detailed study of 50 earthquakes associated with solar flares observed by SOXS mission and other wavebands revealed many interesting results such as the location of the flare on the Sun and the delay time in the earthquake and its magnitude. We propose a model explaining the charged particles accelerated during the solar flare and released in the space that undergone further acceleration by interplanetary shocks and produce the ring current in the earth¡¯s magnetosphere, which may enhance the process of tectonics plates motion abruptly at fault zones. It is further proposed that such sudden enhancement in the process of tectonic motion of plates in fault zones may increase abruptly the heat gradients on spatial (dT/dx) and temporal (dT/dt) scales responsible for earthquakes.


IN33A-04  

OpportunitiesandPerceptionofSpaceProgramsintheDevelopingCountries

* ABUBAKAR, B (babaganabubakar2002@yahoo.com), NIGERIAN PORTS AUTHORITY, NO.27,ARALILE STREET,OFF TEJUOSHO ROAD,SURULERE,LAGOS,NIGERIA., SURULERE, LAG 234, Nigeria

Although the space program as a whole is a true reflection of the level of achievement in human history in the field of Science and Technology, but it is also important to note that there are numbers of communities and societies on this earth that are ignorant about this great achievement, hence leading to the continuous diverting of Potential Astronomers, Aerospace Engineers and Astrologist to other disciplines, thereby undermining the development of the space program over time. It was in view of the above that this research was conducted and came up with the under listed Suggestions/Recommendations:- (1) The European Space Agency (ESA), National Aeronautic Space Agency (NASA) and the Russian Space Agency, should be organising and sponsoring public enlightenment conferences, seminars and workshops towards creating awareness and attracting Potential Astronomers and other Space Scientist mostly in the developing countries into the space program. (2) Esteemed organisations in space programs like NASA, ESA and others should be awarding scholarships to potential space scientist that lacks the financial capability to pursue studies in the field of space science from the developing countries. (3) The European Space Agency, National Aeronautic Space Agency and the Russian Space Agency, should open their offices for the development of the space program in the third world countries. I believe that if the above suggestions/recommendations are adopted and implemented it will lead to the development of the space program in general, otherwise the rate at which potential Astronomers, Aerospace Engineers and Astrologists will be diverting into other disciplines will ever remain on the increase. Thanks for listening.


IN33A-05  

A weather analysis system for Baja California: tropical cyclone season of 2006

* Farfan, L M (farfan@cicese.x), CICESE (Unidad La Paz), Miraflores #334, La Paz, BCS 23050, Mexico

During the warm season of 2006, general characteristics of tropical weather systems were documented on a real-time basis. This study covered the period July-October and included an analysis of observations derived from a regional network: imagery from radar and geostationary satellite, and data from surface stations. A set of graphical products were generated and were available to a broad audience by using the internet address http:met-bcs.cicese.mx. Products were updated anywhere from one to 24 hours and included displays from numerical models. The analysis system has been in operation since the summer of 2005 and it is concentrated in the development of eastern Pacific tropical cyclones. In 2006 this basin had 18 tropical storms and 10 hurricanes, which are slightly above the corresponding normals. Three cyclones (John, Lane, and Paul) made landfall on the northwest coast of Mexico and four other systems developed within 800 km from the area of interest, resulting in additional events of convective activity over southern Baja California. This presentation is intended to provide a summary of the tropical cyclone activity, lessons learned from the application of the analysis system, and plans for the upcoming season of 2007.


IN33A-06  

Analisys, processing and validation data from eolic stations of SONDA project (National Organization System of Environmental Data) at Brazilian National Institute for Space Research (CPTEC/INPE) .

* Junior, A b (bomfin@cptec.inpe.br) AU: Nogueira, J M (nogueira@cptec.inpe.br) AU: Garcia, s G (silvia@cptec.inpe.br) AU: Andrade, E S (eliana@cptec.inpe.br) class='hr'>

Asiel Bomfin Jr. LIM/CPTEC/INPE, Cachoeira Paulista, S.P., Brazil; Eliana Soares de Andrade; Jorge Luiz Martins Nogueira and Silvia Garcia de Castro. The Center for Weather Forecast and Climatic Analysis (CPTEC), a division of INPE, the Brazilian National Institute for Space Research. Several of the INPE´s departments and centers, like the CPTEC, have a variety of valuable datasets, many of them freely available and eolic data from SONDA project are also part of them at Meteorological Instrumental Laboratory (LIM). This paper presents the Analiys, processing and validation method applied to the eolic data in a temporal time of ten minutes, to be used in a PC IBM computer. This method is divided in tree separated programs. The first software called "separa.c" has the capability of divide the ingest data set in mensal files, identified by each station group. The second software called "minuto.c" does a syntactical analysis, verifying and correcting eventual lost data with NAN values. The third one called "validacode.c" generates two principal files, one containing the original data and the other with the codes of each variable for each minute analyzed. These codes is based on BSRN (Baseline Surface Radiation Network), but with some differences in their analyzed method. This method followed the Webmet.com, The Meteorological Resource Center. Table 1:Validation Codes Code Meaning 0 Quality check procedure is not avaiable for this level 2 The data is suspect 5 Quality check procedure is avaiable for this level, but not can be done 9 The data is correct Table 2: Validation levels for WIND SPEED: Validation Levels Quality check procedure for suspect data 0 Maximum and Minimum values of 25 m/s and 0 m/s 1 Can not vary more than 0,1 m/s for 03 consecutive hours 2 Can not vary more than 0,5 m/s for 12 consecutive hours 3 - Table 3: Validation levels for WIND DRECTION: Validation Levels Quality check procedure for suspect data 0 Maximum and Minimum values of 360 and 0 degrees 1 Can not vary more than 01 degree for 03 consecutive hours 2 Can not vary more than 10 degrees for 18 consecutive hours 3 - Table 4: Validation levels for TEMPERATURE: Validation Levels Quality check procedure for suspect data 0 Maximum and Minimum values of local data 1 Must vary more than 5 °C with reference to1 hour before 2 Can not vary more than 0, 5°C for 12 consecutive hours 3 - Output code examples according with the validation levels : Table 5: Output code examples Level 0 (Limit) Level 1 Level 2 Level 3 (final output) 0009 0029 0529 0529 0009 0099 0999 ou 0299 0999 ou 0299 0002 0052 0552 0552 6 Bibliographical references Stull, R. B., Introduction to Boundary Layer Meteorology, Dordrecht: Kluwer, 666 p, 1988. Vickers, D.; Mahrt, L. Quality control and flux sampling problems for tower and aircraft data. Journal of Atmospheric and Oceanic Technology, v. 14, n. 3, p. 512-526, June 1997.. 7 Electronical references National Organization System of Environmental Data Site http:www.cptec.inpe.br/~sonda/ The Meteorological Resource Center -Webmet.com Site http:www.webmet.com/
http:lim.cptec.inpe.br


IN33A-07  

Computational Tools Developed to use the FM94-BUFR at the Brazilian National Institute for Space Research (INPE)

* Ferreira, S H (sergioh@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39., Cachoeira Paulista, SP 12630-000, Brazil
Almeida, W g (gambi@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39., Cachoeira Paulista, SP 12630-000, Brazil
Ferreira, A T (travezan@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39., Cachoeira Paulista, SP 12630-000, Brazil

The FM94 BUFR (Binary Universal Form for the Representation of meteorological data) is the binary form established by World Meteorological Organization (WMO) to substitute the traditional alphanumeric codes, such as SYNOP, TEMP, SHIP on the observed data transmission through the Global Telecommunication System (GTS). In this work an overview about BUFR aspects is presented, including some computational tools which are being developed at the Brazilian National Institute for Space Research (INPE), the type of BUFR data available and the benefits to the weather forecast models. Another aspect which must be considered to the BUFR implementation is the availability of training courses for users and the adaptation of the software to each meteorological application.


IN33A-08  

GeoReM Database for Reference Materials of Geological and Environmental Interest: What's new?

* Jochum, K P (kpj@mpch-mainz.mpg.de), Max-Planck-Institut fuer Chemie, Postfach 3060, Mainz, 55020, Germany
Nohl, U (nohl@mpch-mainz.mpg.de), Max-Planck-Institut fuer Chemie, Postfach 3060, Mainz, 55020, Germany

Because the analytical data of reference materials (RMs) have significantly increased in recent years, Jochum et al. (2005) developed the geochemical GeoReM database for RMs of geological and environmental interest (http:georem.mpch-mainz.gwdg.de). GeoReM is a relational database and contains published analytical, compilation and certified values (major and trace element concentrations, radiogenic and stable isotope ratios), important metadata about the analytical values, such as uncertainty, uncertainty type, method and laboratory. Sample information and references are also included. At present (March 2007) GeoReM contains ca. 1300 RMs, 11000 analyses and 1600 publications. Five different queries are possible: (1) samples or materials, (2) chemical criteria, (3) bibliography, and recently (4) samples (GeoReM preferred values, GPV), (5) methods or institutions. The GPV and their uncertainties were determined by the GeoReM database group. They are important for calibration purposes and quality control. Criteria are primarily certified data, as well as data from high precision and definitive methods, such as isotope dilution - thermal ionization mass spectrometry. The new query "methods or institutions" provides lists of methods used in selected institutions and lists of institutions using certain techniques. For example, it is possible to list all LA-ICP-MS, SIMS or MC-ICP-MS laboratories stored in GeoReM, and to find out analytical techniques used in selected institutions including detailed information about the elements, the isotope ratios measured and the RMs analyzed. References available in GeoReM and GEOROC (Geochemistry of Rocks of the Oceans and Continents) are now linked to each other (Schramm et al., 2006). It is possible to get information through GEOROC about the geochemical analyses of rock samples belonging to analyses of RMs and isotopic standards compiled in GeoReM. The detailed information of the analytical conditions available in GeoReM enables users of GEOROC to estimate the quality of the analyzed rock samples.


IN33A-09  

Looking Ahead to the GOES-R Satellite Series Space Weather Data Archive, Access, and Services

* Wilkinson, D C (Daniel.C.Wilkinson@noaa.gov), NOAA, National Geophysical Data Center, E/GC2 325 Broadway, Boulder, CO 80305, United States

The first of the GOES-R series of satellites is scheduled for launch in 2014. The space weather instruments will include three instrument suites. The Solar Imaging Suite (SIS) consists of a solar X-ray sensor (XRS), an extreme ultraviolet sensor (EUVS) and a Solar X-ray imager (SXI) and will detect and locate X-ray flares, measure solar EUV flux and locate coronal holes. The Space Environment In-Situ Suite (SEISS) will provide real-time measurements of the charged particle environment in geosynchronous orbit and will monitor geomagnetically trapped electrons and protons; electrons, protons, and heavy ions of direct solar origin; and galactic background particles. The Magnetometer (MAG) will measure the earth's geomagnetic field at geosynchronous orbit in three-axes, providing information on the general level of geomagnetic activity and current systems in space. This information facilitates the detection of magnetopause crossings and sudden magnetic storm commencements, and detection of sub storms. The ultimate repository for the SEISS, SIS and MAG data will be NOAA's Comprehensive Large Array-data Stewardship System (CLASS). NOAA is actively engaging the user community for their input regarding data formats, delivery schemes and product preferences.
http:sxi.ngdc.noaa.gov/goesr_looking_ahead.html


IN33A-10  

Sharing of Satellite Imagery Data Products from DSA/CPTEC/INPE and New Developments for these Data Distribution

* Junior, A B (bomfin@cptec.inpe.br)

Asiel Bomfin Jr., Cachoeira Paulista, S.P., Brazil; The DSA (Environmental Satellite Division)/CPTEC/INPE, located at INPE (Brazilian National Institute for Space Research) is a traditional provider of data, softwares and services for researchers, forecasters and decision makers in Brazil and South America. DSA is a reference for space science, especially in satellite imagery products, and environmental studies. The data-sharing component of the Unidata Internet Data Distribution (IDD) can be used to disseminate from DSA satellite image data in Mcdias format to university participants in both the South American IDD-Brazil and North American IDD. Since 2005-october was developed and operational implemented two softwares:"grv_Mcdias_ams.c" (South America Images) and "grv_Mcdias_glb.c" (Global Images). Both has the capability to convert the DSA satellite Goes image data Infrared, visible and water vapour channels in Mcdias format; and sends it automatically to distribution througth IDD in a temporal resolution of 30 minutes. The main process of these softwares are: read the DSA binary images, latitudes and longitudes informations, numbers of lines and rows, pixels per byte, element resolution and all of infomations need for navigation and to create an Area Data Entry (Ade) for each image to finaly generate a correct header to Mcdias image and join it with the binary image.
http:www.lim.cptec.inpe.br


IN33A-11  

Current Operational States of the Meteorological Data Assimilation of the Brazilian Center for Weather Forecast and Climate Studies (CPTEC/INPE)

* Ferreira, S H (sergioh@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Andreoli, R V (rita@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Sapucci, L F (Sapucci@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Herdies, D L (dirceu@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil

Since 2004, an adaptation of the Physical-Space Statistical Analysis System (PSAS) of Global Modeling and Assimilation Office (GMAO/NASA) has been used with the Atmospheric Global Circulation Model (AGCM) of the Brazilian Center for Weather Forecast and Climatic Studies (CPTEC/INPE). This works shows the current operational state of the PSAS in CPTEC/INPE. This includes the computational system that were created/adapted to receive and to pre-process the observed global data and the principal results obtained with the use of High Resolution satellite data. The results have indicated a significant improvement in the weather forecast skill over the Southern Hemisphere when the satellite data is included. The perspectives are that PSAS with AGCM will be fully operational this year.


IN33A-12  

Implementation of a quality control system for the Automatic Weather Stations Network from CPTEC/INPE

Ferreira, A (travezan@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39, Cachoeira Paulista, SP 12630-000, Brazil
* Almeida, W g (gambi@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39, Cachoeira Paulista, SP 12630-000, Brazil

The observations from INPE's Automatic Weather Stations Network are available for free distribution in the CPTEC webpage just after its processing. Because the automated meteorological stations can report in a high temporal frequency and its quantity is growing, they will be more important over the time. To keep the quality of the distributed data and to help the network management it is needed a complex automated quality control system. To meet these objectives we installed in the CPTEC/INPE the quality control system from MADIS (Meteorological Assimilation Data Ingest System). A software developed by the Forecast Systems Laboratory, from NOAA (National Oceanic and Atmospheric Administration). In this paper we describe this QC system and the results.


IN33A-13  

Operational Implementation of TIGGE/THORPEX Program at CPTEC/INPE

Alex, F A (alexalm@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
* Almeida, W g (gambi@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Bonatti, J P (bonatti@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Castro, C (castro@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Silva Dias, P L (pldsdias@model.iag.usp.br) AU: Silva Dias, M F (assuncao@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Fernandes, J R (jpablo@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Yoksas, T (yoksas@unidata.ucar.edu), UNIDATA/UCAR, Center Green, Boulder, CO , United States

The THORPEX (Observing-system Research and predictability experiment) is an international research program supported by the WMO. Its primary objective is to improve the weather forecasts to the 2 weeks range. One important part of the THORPEX is the TIGGE (THORPEX Interactive Grand Global Ensemble). The TIGGE brings the cooperation of several international ensemble data providers. The CPTEC/INPE is a data provider, and several tests have been performed to assure that the CPTEC will be able to send its ensemble data to the TIGGE archiving centers. These tests met the requirements.


IN33A-14  

Development of a Web Interface to Provide External Access to CPTEC/INPE Climatic Data.

Mira, L M (mira@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Alves, B A (bianca@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Tavares, A (tavares@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Coura, L (luhenri@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Ribeiro, M (ramarcos@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Mello, F (felipe@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
Garcia, J (garcia@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil
* Almeida, W G (gambi@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP 12630-000, Brazil

This paper describes a visualization and distribution system for climatic data that are stored in CPTEC/INPE database (Center for Weather Forecast and Climatic Analysis) from INPE (National Institute of Space Research). This project was supported by PROTIM program (Program of Information Technology applied in Meteorology). This work consist in the development of a Web Interfaces for external access and visualization of time-series data for many stations in South America.


IN33A-15  

Community Access to Atmospheric Measurements

* Marshall, J J (james.marshall@gsfc.nasa.gov), Innovim / NASA Goddard Space Flight Center, Mailstop 614.5, Greenbelt, MD 20771, United States
Batluck, G R (georgiann.r.batluck@nasa.gov), NASA Goddard Space Flight Center, Mailstop 613.3, Greenbelt, MD 20771, United States
Durbin, P B (pdurbin@sesda2.com), ADNET Systems, Inc., 7515 Mission Drive Suite A1C1, Lanham, MD 20706, United States
Gerard, R (ryan.gerard@gsfc.nasa.gov), Innovim / NASA Goddard Space Flight Center, Mailstop 614.5, Greenbelt, MD 20771, United States
Larko, D E (larko@jwocky.gsfc.nasa.gov), Science Systems and Applications, Inc., 10210 Greenbelt Road Suite 600, Lanham, MD 20706, United States
Martin, A (amartin@innovim.com), Innovim, 250 Connecticut Avenue NW, Washington, DC 20036, United States
Tilmes, C A (curt.a.tilmes@nasa.gov), NASA Goddard Space Flight Center, Mailstop 614.5, Greenbelt, MD 20771, United States

This poster provides an overview of the computer system that provides community access to atmosphere measurements derived from backscatter ultraviolet sources. It is funded by NASA's Advancing Collaborative Connections for Earth-Sun System Science (ACCESS), and is devoted to Measurements of Atmospheric Composition in the Ultraviolet. The purpose is to provide "one-stop shopping" for data and information of interested to the Backscattered Ultraviolet (BUV) community. It is built from the well-used, highly successful Total Ozone Mapping Spectrometer (TOMS) web site, and is being evolved into a broader focus for the BUV community. This effort supports NASA's evolutionary step toward science measurement processing and analysis systems, and enables the BUV community to easily access information and expertise from multiple sources over a nearly 30 year history of space-based remote sensing of the atmosphere. It facilitates finding algorithms and scientific results from different parts of the BUV science community as well as from different instruments and missions. It provides the means to access the products of the Ozone Community Oriented Measurement-based Processing System (ComPS). The system contains components that store and manage data, manage user access to that data, provide multi-dimensional views of the data and other information, serve data based on user criteria, and facilitate on-line collaboration. The web site hosts Algorithm Theoretical Basis documents, quality assessment of data products, published papers, instrument descriptions, access to mission information, reports and assessments of events and issues, problem reporting and tracking, a moderated forum, and a user collaboration area. Visitors to the web site fall into several categories: the general public; students, educators, and researchers outside the BUV community; members of the BUV community who validate the measurements; members of the community who develop algorithms and software. Access to the information, data, and tools hosted on the site is managed based on the category of each visitor. The general public may view and download only information and data approved by NASA for public release.


IN33A-16  

Web Interface To Access Meteorological Database in Gempak

Mendes, M S (marcusvi@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 40, SP-RJ, Cachoeira Paulista, SP 12630- 000, Brazil
* Almeida, W G (gambi@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 40, SP-RJ, Cachoeira Paulista, SP 12630- 000, Brazil
Ferreira, S H (sergioh@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 40, SP-RJ, Cachoeira Paulista, SP 12630- 000, Brazil

In its 10 years of existence, the CPTEC accumulated global meteorological data that were received through GTS, the Global Telecommunications System of the World Meteorological Organization (WMO). These data are distributed in several formats, and accessible only by specific systems. The proposal of this work was to compile and to organize part of the global data received in the CPTEC through the GTS (1996-2005) and make them available to researchers and meteorologists. The data had been converted to the GEMPAK software, and also was developed a script to make extraction of historical data series through a simple Web Interface. Thanks to this interface it is possible to access these data by the Internet. To make the access easier, these data had been recorded in DVDs.


IN33A-17  

Development of an Web Interface to External Access of Meteorological Database of CPTEC/INPE.

Alves, B (bianca@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Mira, L (mira@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Tavares, A (atavares@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Silva, J (alberto@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Coura, L (luhenri@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Araujo, M (ramarcos@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Odorizi, F (felipe@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
Machado, L (lmachado@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil
* Almeida, W G (gambi@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km 39., Cachoeira Paulista, SP 12630-000, Brazil

The CPTEC/INPE, Center for Weather Forecast and Climatic Analysis of the Brazilian National Institute of Space Research, has a database with global meteorological data. Here we describe a new web interface developed to provide easier access to these data. The interface allows the download of the stored data, and provides statistics and coverage maps. This project was supported by PROTIM program (Program of Information Technology applied to Meteorology).


IN33A-18  

The New FTP Server of CPTEC/INPE for Model Data Distribution.

* Almeida, W G (gambi@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39, Cachoeira Paulista, SP 12630-000, Brazil
Rosa, M B (marcelo@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39, Cachoeira Paulista, SP 12630-000, Brazil
Santos, R (raphael@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39, Cachoeira Paulista, SP 12630-000, Brazil
Rozante, J R (rozante@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39, Cachoeira Paulista, SP 12630-000, Brazil
Fernandes, A A (alexalm@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39, Cachoeira Paulista, SP 12630-000, Brazil
Castro, C (castro@cptec.inpe.br), CPTEC/INPE, Rodovia Presidente Dutra, Km. 39, Cachoeira Paulista, SP 12630-000, Brazil
Nogueira, V S (nvalner@cptec.inpe.br)

With the improving of data processing capacity of CPTEC/INPE the number of models being run and its resolution increased. The demand for these model outputs have increased also, and a growing number of users are in need of the full model outputs, in near-real time. To meet these demands the center is upgrading its data dissemination infrastructure. This paper describes the new FTP server for the CPTEC's model data distribution.


IN33A-19  

Grids Data Base (BDG), a Tool for Distribution of Numerical Model Outputs of CPTEC/INPE for Scientific Community

* Silva, A C (cacau@cptec.inpe.br), CPTEC/INPE, Rod. Pres. Dutra, Km 40, Cachoeira Paulista, SP 12630-000, Brazil
Carvalho, L (lmachado@cptec.inpe.br), CPTEC/INPE, Rod. Pres. Dutra, Km 40, Cachoeira Paulista, SP 12630-000, Brazil
Nantes, D (nantes@cptec.inpe.br), CPTEC/INPE, Rod. Pres. Dutra, Km 40, Cachoeira Paulista, SP 12630-000, Brazil
Junior, J W (waetanjr@cptec.inpe.br), CPTEC/INPE, Rod. Pres. Dutra, Km 40, Cachoeira Paulista, SP 12630-000, Brazil

The Grids Data Base (BDG) will be used to archive Numerical Models outputs at CPTEC/INPE. Data access will be provided using WEB facilities for all type of interested users, researches, enterprise organizations and other users, This project is sponsored by Information Technology Program for Meteorological Applications (PROTIM).


IN33A-20  

Data Democratization - Promoting Real-Time Data Sharing and Use Worldwide

* Yoksas, T C (yoksas@unidata.ucar.edu), UCAR / Unidata, P.O. 3000, Boulder, CO 80307, United States
Almeida, W G (gambi@cptec.inpe.br), INPE / CPTEC, Rodovia Presidente Dutra, Km 39, Cachoeira Paulista, SP1 12630-000, Brazil
Leon, V C (vcastro@cosmos.ucr.ac.cr), Universidad de Costa Rica, Universidad de Costa Rica, San Jose, Costa Rica

The Unidata Program Center (Unidata) of the University Corporation of Atmospheric Research (UCAR) is actively involved in international collaborations whose goals are the free-and-open sharing of hydro-meteorological data; the distribution of analysis and visualization tools for those data; the establishment of server technologies that provide easy-to-use, programmatic remote-access to a wide variety of datasets, and in the building of a community where data, tools, and best practices in education and research are shared. The tools and services provided by Unidata are available to the research and education community free-of-charge. Data sharing capabilities are being provided by Unidata's Internet Data Distribution (IDD) system, a community-based effort that has been the primary source of real-time meteorological data in the US university community for over a decade. A collaboration among Unidata, Brazil's Centro de Previso de Tempo e Estudos Climaticos (CPTEC), the Universidad Federal do Rio de Janeiro (UFRJ), and the Universidade de Sao Paulo (USP) has resulted in the creation of a Brazilian peer of the North American IDD, the IDD-Brasil. Collaboration between Unidata and the Universidad de Costa Rica (UCR) seeks to extend IDD data sharing throughout Central America and the Caribbean in an IDD-Caribe. Efforts aimed at creating a data sharing network for researchers on the Antarctic continent have resulted in the establishment of the Antarctic-IDD. Most recently, explorations of data sharing between UCAR and select countries in Africa have begun. Data analysis and visualization capabilities are available through Unidata in a suite of freely-available applications: the National Centers for Environmental Prediction (NCEP) GEneral Meteorology PAcKage (GEMPAK); the Unidata Integrated Data Viewer (IDV); and University of Wisconsin, Space Science and Engineering Center (SSEC) Man-computer Interactive Data Access System (McIDAS). Remote data access capabilities are provided by Unidata's Thematic Realtime Environmental Data Services (THREDDS) servers (which incorporate Open-source Project for a Network Data Access (OPeNDAP) data services), and the Abstract Data Distribution Environment (ADDE) of McIDAS. It is envisioned that the data sharing capabilities available in the IDD, IDD-Brasil, IDD-Caribe, and Antarctic-IDD, remote data access capabilities available in THREDDS and ADDE, and analysis capabilities available in GEMPAK, the IDV, and McIDAS will help foster new collaborations among prominent universities, national meteorological agencies, and WMO Regional Meteorological Training Centers throughout North, Central, and South America, in the Antarctic research community, and eventually in Africa. This paper is intended to inform AGU 2007 Joint Assembly attendees, especially those in Mexico and Central America, of the availability of real-time data and tools to analyze/visualize those data, and to promote the free-and-open sharing of data, especially of locally-held datasets of general interest.


IN33A-21  

IDD-BRASIL: Implementation and Progress

Chagas, G O (goc@ufrj.br), Universidade Federal do Rio de Janeiro, Ilha do Fundao, Rio de Janeiro, RJ 21949-900, Brazil
Almeida, W G (gambi@inpe.cptec.br), INPE/CPTEC, Rodovia Presidente Dutra, Km 39, Cachoeira Paulita, SP 12630-000, Brazil
* Yoksas, T (yoksas@unidata.ucar.edu), UCAR/Unidata, PO 3000, Boulder, CO 80307, United States
Cutrim, E M (cutrim@wmich.edu), Western Michigan University, 3240 Wood Hall, Kalamazoo, MI 49008-5424, United States
Garrana, D (garrana@acd.ufrj.br), Universidade Federal do Rio de Janeiro, Ilha do Fundao, Rio de Janeiro, RJ 21949-900, Brazil

In response to the academic meteorological community's demand for real-time weather data, and access to datasets not readily available, the Unidata Program of the University Corporation for Atmospheric Research (UCAR) developed the Internet Data Distribution, IDD system. With a modest beginning in the early 1990's, IDD has grown to become the leading Internet2 advanced-application by delivering over 20 terabytes of data per week to over 160 institutions in the US and around the world. Meteorological and related real-time data, model output, and a vast amount of experimental products are delivered at no cost to the Unidata participating institutions. In 2004, through a collaboration among three leading universities and research centers in Brazil, the Centro de Previsão de Tempo e Estudos Climáticos (CPTEC/INPE), the Universidade Federal do Rio de Janeiro (UFRJ), and the Universidade de São Paulo (USP), the Unidata IDD has expanded into Brazil creating a data sharing peer, the IDD-Brasil. Throughout a series of outreach initiatives, the IDD-Brasil is extending its reach, providing data to universities in Argentina, Chile, Africa and Portugal. By lowering the barrier between distant institutions, participants are now cooperating and sharing many datasets that were not generally available outside their organizations. Future plans include the deployment of a new data-relay node in cooperation with Universidade de Aveiro, Portugal in order to provide a local source of data for institutions in Portugal and Africa, and the distribution of products derived from the GOES-10 satellite, which covers mainly South America, through IDD in real-time. Jointly, the IDD and IDD-Brasil are fostering new collaborations among universities, WMO Regional Meteorological Training Centers, and national meteorological agencies, empowering the Atmospheric Sciences across several countries.


IN33A-22  

Improving weather modeling in South America through IDD-Brasil

* Chagas, G O (goc@ufrj.br), Universidade Federal do Rio de Janeiro, Cidade Universitária, Ilha do Fundão, Rio de Janeiro, RJ 21949-900, Brazil

The IDD-Brasil constitutes of an international collaboration among Universidade Federal do Rio de Janeiro (LPM/UFRJ), Centro de Previsão de Tempo e Estudos Climáticos (CPTEC/INPE) and the Unidata Program Center (Unidata/UCAR), which connects several universities and research centers across the Americas in a network to share real-time hydro meteorological data. Using this network as a new path to deliver and acquire observational data, IDD-Brazil participants are capable of receiving observational data from GTS (Global Telecommunication System), locally ingested data from several automatic weather stations networks (mesonets) from INPE, the entire array of METAR and SYNOP observations, and several model outputs and satellite imagery. During recent years Numerical Models have been used constantly, especially in mesoscale research, but the lack of a dense observational network in South America leads to several constraints during the data assimilation and model validation. Since the IDD-Brasil offers an improved and simple method to have new datasets readily accessible, it has been used continuously as a new manner to distribute surface observations that are not currently available in GTS, such as several mesonets in Brazil that account for an increase in data density. Through the usage of data ingested in IDD-Brasil as guess fields it is possible to study how the assimilation in several global models frequently used as initial conditions for mesoscale simulations can be affected, since in certain areas in Brazil the density of data nearly doubles if compared to GTS. Therefore it is also possible to better validate the results generated in mesoscale simulations, in view of the fact that the network has an improved spatial distribution. It is expected that the increase of locally held numerical model output from South American institutions in IDD- Brasil leads to an increased awareness of the need to constantly validate these results with observational data, thus improving mesoscale research.