CEOS Water Portal Project <<Final Project Summary>>

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CEOS Water Portal Project <<Final Project Summary>> Satoko Horiyama MIURA Space Applications and Operations Center (SAOC) JAXA

Contents 1. Goal 2. Concept 3. History 4. Data Partners 5. Available Data List 6. System Architecture 7. Future Plan for the portal 8. Lessons and Learned 1

1. Goal Data centers (All over the world) interface Data, use case, etc Useful information non-water Data (DEM) CEOS Water Portal input Satellite data Users (researchers) Model calculation Various Users e.x.) river administrators Facilitate communications among communities Model Output Data Analysis Register a Use case Difficult (without any incentive) 5

2. Concept (1/2) CEOS Water Portal is ; A distributed data system component of DIAS (Data Integrated Analysis System)-Program To provide Easy to Access service to users To provide access to a whole variety of hydrological data and water relevant data scattered over the world To connect the existing components like data centers, scientists and wide users. Multiple types of data are available such as; Satellite data Model output data 2

2. Concept (2/2) 1. Dataset Search Category Search/Map Search Connecting to 11 data centers and 2 catalog broker system 2. Dataset Access (Depend on the Server side function, ex. OPeNDAP server) Data Subset (time, variables) Data Download/Format conversion (NetCDF, ascii, GRIB (Modeloutput only)) 3. Sharing Use Case Use Case registration/browsing 3

3. History (1/2) a. Sep., 2010(WGISS30): Project was approved. b. Major updates JFY 2011 New features: Compare service for MOLTS data, Registration service of use case New Data Partners : FLUNEXNET(NASA/ORNL DAAC (FLUX data)) and NASA/JPL (GRACE level 3 data) JFY 2012 New Data Partners : GEMS/Water () and Deltares () 5

3. History (2/2) b. Major updates (cont.) JFY 2013 New User Interface New Data Partners : NASA ECHO, CUAHSI JFY 2014 New Data Partners : NCEI and GEO-DAB New System Architecture JFY 2015 User Authentication Function Change New Dataset (NCEI Model data) Modify the User I/F for GEO-DAB response Choose a more useful Download URL for users. 6

4. Data Partners NASA/GSFC Satellite Data NASA/JPL (PO.DAAC) Satellite Data GEMS/Water NASA/ORNL IN-situ (FLUXNET) data NOAA /ESRL In-situ(GPCC ) data NOAA /NCEI (New) Search Download Users Use Case Registration/Browsing CEOS Water Portal NCAR MPI Model Output data GLOWASIS Satellite data Model Output data Satellite data CUAHSI GEO DAB NASA/ECHO Satellite data Model Output data 6

5. Available Data List (1/2) Data Partners Data Types Variables Server type Server Locations CEOP Satellite PR, TMI, AMSR, AMSR-E, MODIS,GLI, SSMI, VISSR Hyrax University of Tokyo (Japan) Model (MOLTS) surface pressure, skin temperature, precipitation amount in hour, brightness temperature surface, specific humidity, u-component of wind, v-component of wind, etc THREDDS MPI (Germany) Model(Grid ded) Air pressure, surface air pressure, air temperature, precipitation rate, snowfall amount, etc Jblob MPI (Germany) In-situ Surface Meteorological and Radiation Data Set Flux Data Set Soil Temperature and Soil Moisture Data Set Meteorological Tower Data Set http link NCAR (USA) AWCI Model(MO LTS) surface pressure, skin temperature, precipitation amount in hour, brightness temperature surface, specific humidity, u-component of wind, v-component of wind, etc THREDDS MPI (Germany) In-situ Precipitation amount, River discharge, River water level, etc Hyrax University of Tokyo (Japan) NASA Satellite Airs level 3 data Hyrax NASA (GSFC) NOAA (GPCC) In-situ Precipitation data THREDDS NOAA (USA) 7

5. Available Data List (2/2) Data Partners Data Types Variables Server type Server Locations NASA Satellite GRACE Level 3 data THREDDS NASA/JPL(PO.D ACC) FLUXNET In-situ FLUX data Fluxes of carbon dioxide, water vapor, and energy exchange, etc GEMS/Water In-situ Instantaneous Discharge, Dissolved Oxygen, Temperature, etc GLOWASIS ECHO Broker Service Satellite Model(Gridde d) In-situ Satellite Model THREDDS WFS NASA (ORNL DAAC) GEMS/Water (CANADA) Precipitation, Air temperature THREDDS Deltares (Netherland) Various types of data via ECHO broker OpenSearch NASA(GSFC) CUAHSI In-situ precipitation, humidity, discharge, oxygen, etc GEO DAB/ GRDC NOAA/NCEI REST/WaterML2, WaterOneFlow/Wat erml1 CUAHSI (USA) In-situ River Discharge via GEO DAB OpenSearch GEO In-situ Satellite Model Air temperature, Precipitation, Air Pressure あとで今年度追加分を追記 THREDDS NOAA/NCEI 8

6. System Architecture CEOS Water Portal (CWP) Client Component 1 Dataset CWP Catalog Management Component Dataset level catalog CMP (GI-Cat) Operation Flow 1 2 3 Detail - DIF Data Centers CWP Catalog Broker CMP (GI-Cat) 2 New Partners and updates for some datasets Users Search Granule Legacy catalog CMP -CEOP Gridded Model -CUAHSI Europe -GEMS/Water -CEOP MOLTS -AWCI MOLTS -CEOP Satellites (~2013) Harvest (Automatic registration & updates) OPeNDAP Server -NASA AIRS -NASA GRACE -NOAA -GLOWASIS -FLUXNET ISO19115/19139 -AWCI In-situ Broker Service & Catalog Service 1 2 DAB (External) NASA ECHO CUAHSI HIS New Data Centers ISO-19115/19139 OPeNDAP W*S OpenSearch, etc Download 3 Data Access Subset(html) or File @each data center File Other than OPeNDAP Catalog Interface OpenSearch Data Access WaterOneFlow (WOF) CSW (view detailed catalog) HTTP files OPeNDAP 10

7. Future Plan for the portal The Tokyo-University team will operate the portal from April 1st, 2016. The URL may change on April 1 st. This should be confirmed in a week or so. It is very likely that the portal will be used as it is (=without major improvement/development). 4

8. Lessons & Learned (1/2) 1. User communities a. We are data/service providers, engineers and system developers. WE ARE NOT USERS. b. How to collect user requirements/feedback is important. 2. Appropriate POC (Official and Technical) and enough preparation period for adding data partners. a. Internal coordination within each data partner agency may take very long time. 12

8. Lessons & Learned (2/2) 3. Use (de-facto) standards for I/F with data partners c. Easier implementation for both sides. 4. Continuous improvement on UI should be planned. a. Resource planning in advance is necessary. 13