AIP-6 Water SBA GEOSS Water Services (GWS) Introduction AIP-6 Kickoff, Silver Spring MD, USA March 2013 David Arctur David Maidment University of Texas at Austin

AIP-6 GEOSS Water Services Team

Globally Distributed Team

University of Texas at Austin CIESS – Center for Integrated Earth System Science David Maidment, David Arctur Overall project coordination for GEOSS Water Services Relations among standards orgs (OGC, WMO) and stakeholders

Brigham Young University (BYU) Department of Civil & Environmental Engineering Jim Nelson, Dan Ames WaterML development Outreach and capacity building in Latin America Web hosting services & toolkit for developing countries

University of Saskatchewan, Canada Global Institute for Water Security (GIWS) Howard Wheater, Branko Zdravkovic Datasets for precipitation, stream flow, and non-standard hydro-meteorological variables, encoded in WaterML 2 Development and testing of the software related to publishing, querying, and retrieving of the current and historical measurement data –Contribute to web portal user interface development for improved usability

CUAHSI – Consortium of Universities for Advancement of Hydrologic Science Alva L. Couch, Rick P. Hooper CUAHSI Hydrologic Information System: A five-year project to create a data discovery platform for water data –A catalog of water data time series (HIS Central). –A standard for water data publication (WaterML). Community-moderated controlled vocabularies for time series metadata, including: –Measured variables, units, sample medium, etc. –An ontology of concepts, together with a novel ontologically-driven data discovery client.

CUAHSI goals for GEOSS and AIP-6: Long term: CUAHSI catalog in GEOSS format. Short term (AIP-6): Factor CUAHSI catalog into separate reusable subsystems for: –Publication and discovery –Controlled vocabulary curation, reusability, and internationalization. Enable federated CUAHSI catalogs in Italy, South Korea, and New Zealand.

US NASA Hydrological Sciences Laboratory Matt Rodell, Bill Teng Satellite data products, modeling, and observations from TRMM (precipitation), LDAS (soil moisture, evapo-transpiration) WaterML 2 time series outputs from these sources

US NOAA Data Management and Integration Team Matt Austin, Michelle Hertzfeld Satellite data products, modeling, and observations for global precipitation and other products Coordination with Integrated Global Water Observations (IGWCO) Community of Practice OGC standard services, GCI and GEO Portal support Exploring implementation of WaterML; not operational for AIP-6

Joint Research Centre (JRC) Institute for Environment and Sustainability Peter Salamon, Milan Kalas JRC Climate Risk Management Unit within the Institute for Environment and Sustainability – focus on observation, evaluation, anticipation and communication of impacts of weather extremes and future climate change Development of the Global Flood Awareness System (GloFAS) initiated in 2011, to study WaterML-based architecture and web services support

European Centre for Mid-range Weather Forecasting (ECMWF) Florian Pappenberger, Fredrik Wetterhall Carries out scientific and technical research for development and operation of global models and data-assimilation systems for the Earth system, and for improving quality of weather forecasts Will provide test data of the TIGGE archive and a combination of the ECMWF land surface scheme HTessel and CamaFlood (a river routing algorithm) Exploring use of WaterML for probabilistic discharge forecasts within GEOWOW

Italian National Institute for Environmental Protection and Research (ISPRA) Martina Bussettini, Michele Munafò Environmental research institute and national environmental agency to coordinate federation of regional systems Has recently implemented WaterML service-based architecture to federate, standardize and publish hydrological time series Will host a hydro-catalog of all Italian Regions, in which one can search and find water data in a standard format

Regional Agency for Environmental Protection in Emilia-Romagna (ARPA ER) Silvano Pecora, Bordini Fabio Gives technical support to regional, district and local authorities on environmental policy Hydro-Meteo-Climate Service (SIMC) is a thematic operational node of ARPA ER; implementing WaterML- based architecture for real-time flood and other water management modeling for European Flood Awareness System (EFAS)

New Zealand National Institute for Water and Atmospheric Research (NIWA) Jochen Schmidt, Brent Wood Manages about 20% of New Zealand water monitoring stations; coordinates NZ regional water agencies Hosting OGC WMS, WFS, CSW, SOS services and WaterML time series data

Horizons Regional Council (HRC) of New Zealand Jeff Watson, Sean Hodges Regional water agency Plans to implement WaterML-based architecture for time series data and services Interested to use NASA LDAS to define severity and spatial variability of current drought conditions

KISTERS Water Solutions Michael Natschke, Stefan Fuest Provides environmental data management solutions in many countries, and helped develop WaterML 2 WISKI and Hydstra products used to collect, process and disseminate hydrological information Interoperability Server KIWIS serves hydrological data and derived data products from various sources through WaterOneFlow/WaterML1, SOS1/O&M and SOS2/WaterML2 Will contribute to the architectural design and infrastructure of GEOSS Water Services, and offer their professional server and service components KiTSM and KIWIS

the PYXIS innovation, Inc. Perry Peterson, Idan Shatz Software company that develops geospatial-intelligence technologies Provides WorldView client application based on use of an optimized hexagonal discrete global grid (DGG); this will be used for analysis and modeling of hydrologic processes on disparate data discovered through GEOSS resources and populated into the DGG Directly accesses GEOSS registries via CSW; supports OGC WMS, WFS, WCS, SOS, WPS

AIP-6 GEOSS Water Services Purpose: Provide additional operational, federated water information resources in GEOSS Scope: A global registry of water data, map and modeling services catalogued using the standards and procedures of the OGC and the WMO In collaboration with WMO CHy Theme 2 “Data Operations and Management”, In support of GEO Water Task and Integrated Global Water Cycle Observations (IGWCO) Community of Practice

AIP-6 GEOSS Water Services Application Services –Community info services, for serving: Observation Services –Water time series Model Services –Computed water time series Map Services –Web maps, geoprocessing Based on OGC WaterML, WFS, WMS, SOS, CSW

Water Time Series Services Stack

From AIP-5 Water SBA

AIP-5 Architecture and Interaction GEOSS Search WWO Map Viewer ArcGIS Online / PYXIS WorldView WFS USGS Metadata (Univ Tx host) WFS Dominican Republic Metadata (Univ Tx host) WFS GRDC Metadata (Univ Tx host)

AIP-5 Architecture and Interaction WWO Map Viewer ArcGIS Online / PYXIS WorldView SOS GRDC WaterML2 (Kisters host) WOF Dominican Republic WaterML1 (BYU host) REST USGS WaterML1 (USGS host)

Time Series Metadata (differences)

AIP-6 Thematic Goals – 1 1.Provide a systematic way for publishing map services of water observations that index locations of accessible WaterML time series services. 2.Produce web services of the results of global models for flood and drought analysis, including: –EC Global Flood Awareness System (GloFAS) –NASA/NOAA Global Land Data Assimilation System for drought assessments 3.Link web services for observations and modeling, so observations can inform model calibration, and so models can furnish larger context for observations

AIP-6 Thematic Goals – 2 4.Form federated national water data services for common variables –Italy: ISPRA national, ARPA regional agencies –New Zealand: NIWA national, HRC regional 5.Synthesize data, map, and modeling services to support specific useful applications, eg, linkage of watershed delineation with precipitation mapping over watershed + flow observations + model results at outlet 6.Advance the utilization of water services in developing countries, through access to global web services, and lightweight methods of publishing local data

What is an Observation? r3 OGC WaterML 2.0 Standard, page 12

OGC Observation & Measurements Model Simply put, an Observation has: –Domain: Feature of Interest –Phenomenon: Observed Property of the feature type of interest –Procedure: appropriate for the Observed Property –Result: value appropriate for the Observed Property –Metadata And an Observation can be associated with other Observations

WaterML 2 is a Profile of OGC O&M

General characteristics of WaterML 2 1.Communicates the semantics of hydrological time series data. 2.An explicit time series model that supports encoding of information crucial to correct interpretation of time series, such as properties describing the nature of individual data values and their relationships. 3.A flexible exchange schema that can be re-used in a number of scenarios. Includes concepts to deal with common complexities in cross-system data exchange, such as multiple identifiers and names. 4.The schema is reusable across different transport technologies, including FTP, and a variety of web services etc. 5.Ability to extend through use of external schema and soft-typing. 6.Ability to capture information relating to the provenance of a time series (i.e. how the time series was created). Allows for interpretation of ‘data products’ such as statistical summaries.

AIP-6 Connections GEOSS Water Services can connect to –Other Water SBA threads (Esri, GLOS, MEDINA) –Technical threads (Esri, GEOWOW) –Other related threads (GeoViQua (Ag), FCU1 (DM), FCU2 (Ag)) –Capacity Building, End-User focus

Project Output: enabling Thematic Maps of water information anyone can find & use Water data & model output providers follow consistent practices in applying the OGC O&M model and WaterML 2 standard This model description becomes part of the WMO Glossary of Terms GEOSS provides rules for publishing these maps –Easy registration and quick, consistent discovery How we’ll know we’re done: We can search GEOSS for time series of soil moisture, precipitation, stream flow and get a federated map of the results Other results…?

New Zealand World Soil Moisture A dryer region with significant seasonality Popup on point links to data and chart from the NASA Global Land Data Assimilation System (GLDAS) A very wet region with little seasonality Charts show 3-hourly variation (37,000 values) of soil water content of the top 1m of soil from 2000 to

Global Water Maps Describe a water property over a domain of space and time History Current conditions Forecasts Sensor Web Model Web Precipitation Evaporation Transpiration Soil Moisture Streamflow Groundwater Reservoirs

Scenario / Use Case 1: Federation of catalogs Actors: GEOSS/GCI, NASA ECHO, Web map client Preconditions: Postconditions: Workflow steps: 1.Map client searches GEOSS for data holdings 2.GCI search includes user-selected federated catalogs (eg, ECHO) 3.Search results are displayed to user 4.User picks data layers for viewing on map client 5.Map client displays layers from selected sources

Scenario / Use Case 2: National/local implementation and aggregation of local data, maps, analysis Actors: NIWA/HRC; ISPRA/ARPA Preconditions: Postconditions: Workflow steps:

Scenario / Use Case 3: Flood awareness & notifications Actors: JRC/ECMWF: GloFAS Preconditions: Postconditions: Workflow steps:

Scenario / Use Case 4: Drought awareness, forecasts, & notifications Actors: NASA/NOAA: GLDAS (data rods) Preconditions: Postconditions: Workflow steps:

Summary and Next Steps Proposals for 3-minute videos at Ministerial Showcase due by May 28 (Kathy Fontaine)

Water SBA Breakout Discussion Mature AIP-5 User Requirements Use of GCI –New elements, alterations Ministerial Summit demo proposals Data Sharing More in-situ observations Involvement of Developing Countries / Capacity Building