Structure? Integrated Climate Data Center How to use the ICDC? Tools? Data Formats? User
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1 Integrated Climate Data Center? Data Formats?? Tools???? visits Structure???? User
2 Contents Which Data Formats do we offer? What is the Structure of our data center? Which Tools do we provide?
3 Our Aims Easy data access avoid complicated interfaces standard data formats
4 Our Aims Easy data access avoid complicated interfaces standard data formats Quick online visualizations To get an overview over the data Interactive Maps, Time Series, Sections, Profiles
5 Our Aims Easy data access Quick online visualizations avoid complicated interfaces standard data formats To get an overview over the data Interactive Maps, Time Series, Sections, Profiles Different data access for internal and external users Restricted access to some data sets File System Access in ZMAW network
6 Data Formats
7 Data Formats netcdf Network Common Data Form self-describing, machine-independent data format array-oriented scientific data
8 Data Formats netcdf Network Common Data Form self-describing, machine-independent data format array-oriented scientific data ASCII American Standard Code for Information Interchange Text Format with 128 characters
9 Data Formats netcdf ASCII Network Common Data Form self-describing, machine-independent data format array-oriented scientific data American Standard Code for Information Interchange Text Format with 128 characters OPeNDAP Open-source Project for a Network Data Access Protocol allows remote data access over the internet
10 Data Formats: netcdf
11 Data Formats: netcdf (1) Self-Describing Portable A netcdf file includes information about the data it contains. A netcdf file can be accessed by computers with different ways of storing integers, characters, and floating-point numbers. Scalable A small subset of a large dataset may be accessed efficiently.
12 Data Formats: netcdf (2) Appendable Sharable Data may be appended to a properly structured netcdf file without copying the dataset or redefining its structure. One writer and multiple readers may simultaneously access the same netcdf file. Archivable Access to all earlier forms of netcdf data will be supported by current and future versions of the software.
13 Data Formats: netcdf Header netcdf reynolds_oisst PODAAC v2 0.25deg { dimensions: lon = 1440 ; lat = 720 ; time = 1 ; variables: float lat(lat) ; lat:units = "degrees_north" ; float lon(lon) ; lon:units = "degrees_east" ; double time(time) ; time:units = "days since " ; short sst(time, lat, lon) ; sst:units = "deg.c" ; sst:scale_factor = 0.01f ; short land(lat, lon) ; land:units = "none" ; // global attributes: :Conventions = "CF-1.0" ; :title = "Monthly average of the weekly Reynolds-SST (Original grid resolution 1.0deg) bilinearly interpolated onto 0.25 deg grid resolution" ; }
14 Data Formats: netcdf excerpt data: lat = , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,... time = 7470 ; sst = -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180, -180,...
15 Data Formats: OPeNDAP
16 Data Formats: OPeNDAP Allows you to access remote data over the internet using your familiar data analysis and visualization package Ferret Matlab IDL GrADS NCO...
17 Data Formats: OPeNDAP Allows you to access remote data over the internet using your familiar data analysis and visualization package Ferret Matlab IDL GrADS NCO... without worrying about data storage formats
18 Data Formats: OPeNDAP Allows you to access remote data over the internet using your familiar data analysis and visualization package Ferret Matlab IDL GrADS NCO... without worrying about data storage formats access only the data subset of interest
19 Data Formats: OPeNDAP Example OPeNDAP access on remote data set: REMOTE OPeNDAP-SERVER Reynolds SST 11/ /2011
20 THREDDS: OPeNDAP Example OPeNDAP access on remote data set: REMOTE OPeNDAP-SERVER Reynolds SST 11/ /2011 Open Data-URL via OPeNDAP OPeNDAP Client (e.g Ferret)
21 THREDDS: OPeNDAP Example OPeNDAP access on remote data set: REMOTE OPeNDAP-SERVER Reynolds SST 11/ / /2011 Download Data orders the first time step via OPeNDAP OPeNDAP Client (e.g Ferret)
22 THREDDS: OPeNDAP in Ferret OPeNDAP Access in Ferret is easy: yes? set data " yes? show data currently SET data sets: 1> (default) name title I J K L LAND 1:1440 1: SST 1:1440 1: :354 yes? shade/l=1 sst
23 Data Formats An Aside: What about GIS?
24 An Aside: What about GIS? GIS = Geographic Information System System of hardware and software for storage, retrieval, mapping, analysis of geographic data spatial features are stored in a coordinate system descriptive attributes in tabular form are associated with spatial features
25 An Aside: What about GIS? Popular GIS Application: ESRI ArcGIS produces 3 Files: Shape-File contains geometries: points, polylines, polygons Shape-Index for faster search Dbase-File contains the attributes imports ASCII and netcdf data > ICDC supports ArcGIS users
26 An Aside: What about GIS? Popular GIS Application: ESRI ArcGIS produces 3 Files: Shape-File contains geometries: points, polylines, polygons Shape-Index for faster search Dbase-File contains the attributes imports ASCII and netcdf data > ICDC supports ArcGIS users Web GIS Delivering Shape Files on the world wide web Client-Server-Architecture UMN Mapserver to visualize Shape-Files
27 Our Tools
28 Website icdc.zmaw.de Basis of ICDC
29 Tools FTP Server data download
30 Tools FTP Server data download Live Access Server (LAS) quick visualizations: Maps, Time Series, Sections, Profiles download data subsets
31 Tools FTP Server Live Access Server (LAS) data download quick visualizations: Maps, Time Series, Sections, Profiles download data subsets THREDDS Data Server data access: HTTP, OPeNDAP
32 Tools FTP Server Live Access Server (LAS) quick visualizations: Maps, Time Series, Sections, Profiles download data subsets THREDDS Data Server data download data access: HTTP, OPeNDAP File access for ZMAW users via /data/icdc
33 Tools FTP Server Live Access Server (LAS) data access: HTTP, OPeNDAP File access quick visualizations: Maps, Time Series, Sections, Profiles download data subsets THREDDS Data Server data download for ZMAW users via /data/icdc Special views HTML 5 visualizations
34 Structure: External Access links to LAS data THREDDS FTP WEBSITE visits Unlimited access External User
35 Structure: Internal Access links to links to LAS data THREDDS FTP LAS WEBSITE visits THREDDS restricted data File system /data/icdc accessable inside ZMAW net or via login from the outside Unlimited access Internal User
36 Website icdc.zmaw.de
37 Website: finding data Search for data Datasets are classified in categories
38 Website: all data sets at a glance
39 Website: data page Links to data downloads and visualization tools Data description and reference links
40 Tools: THREDDS Data Server
41 THREDDS Data Server Provides data access for geo-referenced data e.g. netcdf
42 THREDDS Data Server Provides data access for geo-referenced data e.g. netcdf Offers remote data access protocols HTTP: download datasets via web browser OPeNDAP: use subsets without downloading the entire dataset
43 THREDDS Data Server Provides data access for geo-referenced data Offers remote data access protocols e.g. netcdf HTTP: download datasets via web browser OPeNDAP: use subsets without downloading the entire dataset Creates virtual datasets through aggregation merge a chronological sequence of datasets and access it via OPeNDAP
44 THREDDS: Aggregation Example THREDDS merges a sequence of SST monthly means: rey_sst_ nc rey_sst_ nc rey_sst_ nc rey_sst_ nc Reynolds SST Reynolds SST Reynolds SST Reynolds SST 11/ / / /2011
45 THREDDS: Aggregation Example THREDDS merges a sequence of SST monthly means: rey_sst_ nc rey_sst_ nc rey_sst_ nc rey_sst_ nc Reynolds SST Reynolds SST Reynolds SST Reynolds SST 11/ / / /2011 Reynolds SST 11/ /2011
46 THREDDS: Aggregation Example THREDDS merges a sequence of SST monthly means: rey_sst_ nc rey_sst_ nc rey_sst_ nc rey_sst_ nc Reynolds SST Reynolds SST Reynolds SST Reynolds SST 11/ / / /2011 Reynolds SST 11/ /2011 access virtual data set via OPeNDAP OPeNDAP Client (e.g. Ferret)
47 File System /data/icdc
48 File System Access /data/icdc mounted on every Linux / Unix system in ZMAW network no need to download / copy the data
49 File System Access /data/icdc mounted on every Linux / Unix system in ZMAW network no need to download / copy the data Datasets are classified in folders (analog to website) atmosphere, land, ocean, ice_and_snow, reanalyses, ocean_syntheses
50 File System Access /data/icdc Datasets are classified in folders (analog to website) mounted on every Linux / Unix system in ZMAW network no need to download / copy the data atmosphere, land, ocean, ice_and_snow, reanalyses, ocean_syntheses Dataset Folder contains README file providing URL of associated webpage contains a DATA directory with data files e.g. the Reynolds SST dataset can be found in /data/icdc/ocean/reynolds_sst
51 Live Access Server (LAS)
52 LAS: Features provides visualizations of geo-referenced data gridded data insitu measurements
53 LAS: Insitu data example
54 LAS: gridded data example
55 LAS: Features provides visualizations of geo-referenced data gridded data insitu measurements quick visualizations interactive maps time series sections profiles comparisons
56 LAS: Interactive Map
57 LAS: Time Series
58 LAS: Section
59 LAS: Profile
60 LAS: Comparisons
61 LAS: Features provides visualizations of geo-referenced data quick visualizations gridded data insitu measurements interactive maps time series sections profiles comparisons data downloads ASCII netcdf OPeNDAP Google Earth
62 LAS: Drawbacks shows only equirectangular projection ICDC extended LAS to show other projections only one view in Insitu mode: interactive map ICDC works on extending insitu views (e.g. time series)
63 Thanks Thank you very much for your attention! If you have further questions don't hesitate to contact us:
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