USGS National Hydrography Dataset Newsletter

Transcription

1 USGS National Hydrography Dataset Newsletter Vol. 17, No. 6, June 2018 Special Edition: The National Water Center and National Water Model The National Water Center: A Catalyst for Transforming Water Prediction The National Water Model Partnerships Science and Technology Showcase The National Water Model: Overview and Future Development Operational Cycling Meteorological Forcing Input Hydrofabric and Data Assimilation Model Process Overview Future Plans NHDPlus and the National Water Model Linking Forecasting to the Stream Network Forecasts Using Near Real-Time Observations Future Developments with NHDPlus High Resolution NHDPlus High Resolution Beta Production Status Update NHDPlus HR Availability NHDPlus HR Ingredient Dataset Status - Network Improvement Project NHDPlus HR Ingredient Dataset Status - WBD 4-digit Improvement Project Hydrography Photo of the Month Hydrography Quiz This Month s Quiz Upcoming USGS Hydrography Calls, Trainings, and Meetings Special Edition: The National Water Center and National Water Model We are excited to share with you a special edition of the National Hydrography Dataset Newsletter dedicated to two new and exciting advancements for water resources work in the U.S. - the National Water Center and National Water Model. The National Water Center, located on the campus of the University of Alabama in Tuscaloosa, Alabama, is designed to be the nation s research, development, and operations hub for hydrologic modeling, water prediction, and related decision support services. The NWC also facilitates collaboration among the water resources enterprise, including federal water science and management agencies and the academic community, to achieve a shared vision of improving water-related forecasting, preparedness, response, and planning activities. The National Water Model, led by NOAA with multiple collaborators, is pushing the boundaries on forecasting flooding and creates a platform for further forecasting of water-related information. NOAA and USGS are working together to understand how the NHDPlus High Resolution can be used to provide an updated, higher resolution version of the National Water Model geofabric. - USGS National Geospatial Program and NOAA National Weather Service 1

2 The National Water Center: A Catalyst for Transforming Water Prediction National Oceanic and Atmospheric Administration, National Weather Service Approximately ten years ago, Congressional leaders began to note that the risks of flooding and severe weather were growing across the country, leading them to call for a new national center to address our Nation s growing water challenges. At the same time, the National Oceanic and Atmospheric Administration (NOAA) had been collaborating with the U.S. Geological Survey (USGS), and U.S. Army Corps of Engineers (USACE) through the Integrated Water Resource Science and Services (IWRSS) consortium to develop shared plans for a virtual or physical center to advance water resources prediction nationwide. The Federal Emergency Management Agency joined IWRSS in 2015.When Congressional vision met agency planning, the National Water Center was designed and built at the University of Alabama-Tuscaloosa, receiving a LEED Gold certification. In addition to serving the needs of emergency managers during flood events, the prediction capabilities developed by the National Water Center will also address drought and low-flow risks and information needs for routine and long-range water management and planning. The National Water Center (NWC) promotes collaboration across the scientific community, serving as both a catalyst to accelerate the transition of research into operations and a center of excellence for water resources science and prediction. Since the ribbon cutting on May 26, 2015, the NWC has hosted more than 70 scientific and technical meetings with over 2,600 participants, including three Summer Institutes planned with the National Science Foundation (NSF) and the Consortium of Universities for the Advancement of Hydrologic Sciences Inc. (CUAHSI). The Summer Institutes, held annually at the NWC, recruit the Nation s best and brightest graduate students to work hand-in-glove with leading Federal scientists and academics to address challenging water resources problems and transform water prediction. The National Water Model The work conducted during the Summer Institutes led directly to the launch of the National Water Model (NWM) in August 2016 and its continuing upgrades in 2017 and beyond. NOAA has implemented and is advancing the NWM with Federal and academic partners, including the National Center for Atmospheric Prediction. National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

3 This new water resources model creates forecast guidance for 2.7 million stream reaches nationwide, which the NWC provides to River Forecast Centers (RFCs) and other field offices to deliver enhanced services. Read more in The National Water Model: Overview and Future Development article below. Partnerships Anchored by the NWC, NOAA Line Offices came together to form a wide partnership through the NOAA Water Initiative, achieving an unparalleled level of internal collaboration to enhance the agency s capability to develop and deliver better water information services. Beyond NOAA, through IWRSS and in partnership with academia and the private sector, NOAA is building a boundary-spanning partnership across multiple agencies and sectors to create and deliver water information to meet the needs of the 21st century. Science and Technology Showcase These multi-agency partnerships were recently on display at the inaugural National Water Center Science and Technology Showcase, held at the NWC in Tuscaloosa, Alabama on March 27, The purpose of the cross-noaa, cross-federal, cross-academic Showcase was to bring together partners and stakeholders from the government, private, and academic sectors to demonstrate to the public how the collaborative work being conducted at the National Water Center is transforming the Nation s water forecasting and prediction services. The Showcase was attended by over 130 guests and featured 18 exhibits demonstrating state-of-the-art technologies, including computer models, instruments, drones, and displays designed to mitigate the impacts of floods, droughts, and water-quality issues; optimize the use of our Nation s increasingly limited water supply; and address the cross-cutting impacts of a changing climate. National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

4 The National Water Model: Overview and Future Development Brian Cosgrove, NOAA National Weather Service, Office of Water Prediction David Gochis, National Center for Atmospheric Research, Research Applications Laboratory The National Weather Service (NWS) Office of Water Prediction (OWP), in conjunction with the National Center for Atmospheric Research (NCAR) and the NWS National Centers for Environmental Prediction (NCEP) recently implemented version 1.2 of the National Water Model (NWM) on the NOAA Weather and Climate Operational Supercomputing System. As with the initial version implemented in 2016, this model is an hourly cycling analysis and forecast system that provides streamflow for 2.7 million river reaches and other hydrologic information on 1 km and 250 m grids (Figures 1 and 2). The NWM provides complementary hydrologic guidance at current NWS river forecast locations and significantly expands guidance coverage and water budget information in underserved locations. It produces a full range of hydrologic fields, which can be leveraged by a broad cross section of stakeholders ranging from the emergency responder, drought and water resource communities, to transportation, energy and agriculture interests, to other water-oriented applications in the government, academic and private sectors. Operational Cycling Four configurations of the NWM are run operationally on the NOAA Weather and Climate Operational Supercomputing System (WCOSS): 1) Analysis and Assimilation current snapshot, 2) Short-Range 18 hour deterministic forecast, 3) Medium-Range 10 day deterministic forecast, 4) Long-Range 30 day ensemble forecast. The Analysis and Assimilation configuration cycles hourly and produces a real-time snapshot of the current streamflow and general hydrologic states across the country. This configuration also produces the initialization for the 18 hour, 10 day and 30 day forecast simulations. Precipitation forcing data are drawn from the Multi-Radar Multi-Sensor (MRMS) gauge-adjusted and radar-only observed precipitation products along with short-range Rapid Refresh (RAP) and High Resolution Rapid Refresh (HRRR) forecasts in areas where MRMS radar coverage is poor. National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

5 Short-range RAP and HRRR forecasts supply the other meteorological forcing variables. Real-time USGS streamflow observations are assimilated into this configuration. The Short Range Forecast configuration cycles hourly, is forced with meteorological data from the HRRR and RAP, and produces hourly deterministic forecasts of streamflow and hydrologic states out to 18 hours. This configuration is complemented by the Medium Range Forecast configuration which is executed four times per day at 00Z, 06Z, 12Z and 18Z, is forced with Global Forecast System (GFS) model output, and extends out to 10 days. At 30-days in length, the longest NWM forecast is produced by the Long Range Forecast configuration, which cycles 4 times per day at 00Z, 06Z, 12Z and 18Z and produces ensemble forecasts of streamflow, other hydrologic states and evapotranspiration. There are four ensemble members in each cycle of this forecast configuration, each forced with a different Climate Forecast System (CFS) forecast member Meteorological Forcing Input A robust meteorological data pre-processing system (known as the NWM forcing engine ) is employed as part of the National Water Modeling system that ingests, remaps, and quality controls meteorological data used to drive the NWM. The forcing engine compiles meteorological data from numerical weather prediction models, radar networks and surface rainfall analyses, and maps all of the requisite meteorological fields onto the NWM grid. Additional processes such as statistical downscaling and statistical bias corrections are also applied within the forcing engine in order to improve the depiction of meteorological processes prior to input into the model. It is important to note that different sources of meteorological analysis and forecast data are available for different time ranges of forecasts. While the NWM forcing engine processes all data to a common grid resolution, many of the available meteorological products have native time and space resolutions which are fairly coarse and can have significant uncertainties. Hydrofabric and Data Assimilation The channel and reservoir network of the NWM comprise the model s hydrofabric and is generated from the medium resolution NHDPlusV2.1 dataset, as discussed in the NHDPlus and the National Water Model article below. In addition to the baseline delineation of the national river and reservoir channel network, the hydrofabric of the NWM also contains many other key parameters, such as channel geometry, roughness, and important topological information. These fields are derived through a number of external analyses conducted using observed and model-estimated channel properties. As noted above, assimilation of real-time streamflow data is a core action of the NWM Analysis and Assimilation cycle. Every hour a new national analysis of streamflow is produced which assimilates real-time USGS streamflow data using a basic Newtonian nudging scheme. Currently, only modeled streamflow values are adjusted during assimilation but research is underway to include assimilation and adjustment of other NWM state variables including snowpack, soil moisture, inundation fields, reservoir levels and potentially other non-usgs sources of streamflow and river stage information. Parallel efforts will enable the ingestion of real-time dynamic land cover data sets reflecting recent disturbances such as forest fires, which can greatly alter the hydrologic landscape. Model Process Overview The modeling architecture behind the NWM is the community WRF-Hydro Modeling system which has been developed and supported by the National Center for Atmospheric Research (NCAR) in Boulder, CO (Gochis et al., 2018). The WRF-Hydro modeling system is an extensible, multi-scale, multi-physics based modeling National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

6 framework which represents the principal exchanges of water and energy at the Earth s surface. Sophisticated treatment of infiltration, evapotranspiration, snowpack accumulation and ablation, lateral overland and subsurface flow, and river channel flow exist inside the model within various model components. These processes can each run on different spatial frameworks (e.g. rectilinear grids, catchments, river reach vectors and reservoir objects) thus providing flexibility in process representation and computational efficiency. The WRF-Hydro system has been developed for application on large clusters and high performance computing systems so is applicable to large-domain, high-resolution operational prediction applications. Each configuration of the operationally-cycling NWM uses a similar physics and spatial configuration except for the long-range configuration which does not explicitly represent lateral terrain routing processes. The model code is made publicly available upon implementation of each new operational version upgrade and is supported by the joint NWM development team within NCAR and the NOAA Office of Water Prediction. [For code details see: ] National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

7 Future Plans With the upgrade to Version 1.2, fundamental hydrologic building blocks are now in place which enable work on several capabilities that are key to hydrologic stakeholders: 1) CONUS-wide flood inundation mapping, 2) coastal coupling to support joint freshwater/estuary/ocean modeling, 3) hyper-resolution modeling to capture hydrologic and hydraulic processes in urban environments and areas of high terrain relief, 4) machine learning-based simulation of reservoir processes and 5) support for water quality analysis and forecasting applications, and 6) simulation of groundwater processes. Each of these hydrologic capabilities addresses a current gap in operational hydrologic forecasting and emergency response while also improving the overall representation of the Nation s water resources. While local versions are currently available, a national flood inundation map will enable coordinated cross-jurisdiction response. Coastal coupling will likewise enable improved emergency response, via accurate simulation of the additive impacts of freshwater and storm surge flooding. Simulations will also be improved via application of a hyper-resolution nested modeling approach, which will resolve the fine-scale processes that impact flooding in urban and mountainous environments, and by inclusion of a groundwater module which will represent shallow aquifer processes impacting streamflow conditions. These three focus areas--coastal coupling, hyper resolution and groundwater modeling--will support the integration and execution of water quality modules across the national modeling domain. Lastly, streamflow simulations within each of the preceding applications will benefit from improved simulation of water management at modeled reservoirs. While leveraging the NWM, each of these activities will be driven by cross-agency collaboration. References: Gochis, D.J., M. Barlage, A. Dugger, K. FitzGerald, L. Karsten, M. McAllister, J. McCreight, J. Mills, A. RafieeiNasab, L. Read, K. Sampson, D. Yates, W. Yu, (2018). The WRF-Hydro modeling system technical description, (Version 5.0). NCAR Technical Note. 107 pages. Available online at Source Code DOI: /D6J38RBJ NHDPlus and the National Water Model Kevin Sampson, National Center for Atmospheric Research Alan Rea, U.S. Geological Survey The NOAA National Water Model (NWM) heavily leverages the geospatial data and attributes contained in the medium resolution National Hydrography Dataset Plus Version 2.1 (NHDPlusV2.1; McKay et al. 2012), to perform continental-scale hydrologic prediction. The flowlines, catchments, waterbodies, gages, and value-added attributes of the NHDPlusV2.1 form the basis of the geospatial framework of hydrographic features in the NWM, referred to as the NWM hydrofabric. Linking Forecasting to the Stream Network As described in The National Water Model: Overview and Future Development article above, the NWM routes surface and sub-surface runoff through the vector stream network defined by the NWM hydrofabric. The National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

8 NWM uses a combination of grid-based modeling with the Weather Research and Forecasting Hydrologic modeling system, or WRF-Hydro (Gochis et al. 2018), linked to a channel-routing module based on the vector stream network in the NWM hydrofabric. This linkage is made using the relationship between the model grid and NWM hydrofabric catchments which moves water from the landscape and into the stream network. WRF-Hydro requires gridded elevation and elevation-based derivatives to route water within each catchment as well as to provide certain channel and reservoir properties. A challenge for continental-scale hydrologic modeling is aligning WRF-Hydro modeling of terrestrial processes, such as overland and subsurface flow, at 250-m resolution, with modeling of hydrologic processes in rivers and channels. To accommodate this, the 30-m NHDPlus elevation grids were interpolated to the 250-m NWM grid resolution and run through a hydrologic reconditioning process to remove artificial pits. Natural pits were defined using a subset of the NHDPlus Sink feature class in order to avoid overfilling in closed drainage basins. Additional digital elevation model (DEM) conditioning was required to correct major deviations of flow paths based on the WRF-Hydro routing grid. This was done to ensure accurate flow paths for major rivers, including the Mississippi and Colorado Rivers. The resulting WRF-Hydro routing grid is used to compute overland and subsurface flows within catchments, with flows transferred to the NWM flowline network, where Muskingum-Cunge (Cunge 1969) channel routing is performed. While the NHDPlus Version 2.1 comprises the vast majority of the features within the NWM hydrofabric, a number of modifications were necessary to meet the model requirements. The large catchments representing upstream areas in Canada and Mexico were replaced with hydrography and elevation-derived catchments National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

9 roughly equivalent in scale to NHDPlus. Additionally, divergent flowpaths were eliminated, Strahler stream order re-calculated, and a continuous flow network was ensured by examining all interior network endpoints and reconnecting the network wherever possible. Forecasts Using Near Real-Time Observations Assimilation of near real-time observations is essential to providing an accurate forecast. The data assimilation scheme in the NWM leverages near real-time streamflow observations at approximately 7,500 USGS gage locations which report to the USGS National Water Information System (NWIS). Proper placement of the gage on the flowline network is critical because modeled streamflow is adjusted at these locations. The gage-flowline associations provided in the NHDPlus Gage feature class were used to define the network locations for streamflow data assimilation. Some adjustments were made to ensure that only the gage with the highest data-availability was associated with a flowline wherever multiple gages shared a NHD flowline. Likewise, some gages were moved or re-associated with different flowlines to ensure placement on the modeled main flowpath. Gages without NHDPlus association were snapped to the NHDPlus flowline network where possible. The NWM represents reservoir storage and discharge at discrete locations on the network. The waterbodies in NWM are registered on the flow network using network connectivity information in the NHDFlowline_Network attribute table. There are approximately 1,500 reservoir objects in NWM v1.2, with a large increase in reservoir representation scheduled for NWM v2.0. This is a fraction of the >400,000 waterbodies in the NHDWaterbody feature class, however, this subset was generated based on an analysis of large waterbodies that can be represented in the model. Many waterbody features in NHDPlus were combined to represent cohesive reservoir objects with unified storage pools. Parameters related to reservoir location and area are obtained from feature geometry while parameters related to storage were obtained from NED elevation data. Future Developments with NHDPlus High Resolution The continental-scale hydrologic forecasting capabilities have illuminated a growing need for focused regional-to-local forecasts for severe flooding applications and other extreme events. As the resolution of numerical weather prediction models increase, so does the need for appropriately scaled hydrography data to fuel related hydrologic modeling applications. The NHDPlus High Resolution (NHDPlus HR) is currently in production across the U.S. and will provide a much higher detail geospatial framework. The NHDPlus HR offers benefits such as more up-to-date input data with increased resolution and detail, including 1:24,000-scale (or better in some areas) hydrography data, and 10-meter resolution elevation data from the 3D Elevation Program (3DEP), which in many areas is resampled from 1-meter resolution lidar data. Also, it will have a robust Refresh capability whereby data errors identified by the user community are corrected in subsequent dataset releases. Generalization capabilities are also being developed that in the future will enable the NHDPlus HR flowline network and catchments to be generalized selectively as needed for particular applications. Additionally, methods are being developed to distinguish between true sinks in closed basins and connections that are missing in the NHD network, and to include the missing connections when appropriate. National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

10 NHDPlus HR has been tested for the Lake Champlain transboundary watershed by the NOAA Great Lakes Environmental Research Lab (GLERL) and will be assessed for potential inclusion into the NWM. The NHDPlus HR channel networks have potential to fuel future operational high-resolution hydrologic prediction models as NWM capabilities develop. A number of issues remain to be solved in developing a more detailed geospatial framework for the NWM. An important issue is the development of capabilities to relate between different spatial representations of the stream network having differing levels of detail, and relating all representations to the real world. When this issue is solved, the resources of the hydrologic community can be leveraged by everyone working with the more detailed NHDPlus HR, and deriving from it networks at a level of detail appropriate to the application. The NWM and NHD/WBD teams will work together to solve these issues in the future. References: Cunge, J. A., (1969). On the subject of a flood propagation computation method (Muskingum method). Journal of Hydraulic Research, 7, Gochis, D.J., M. Barlage, A. Dugger, K. FitzGerald, L. Karsten, M. McAllister, J. McCreight, J. Mills, A. RafieeiNasab, L. Read, K. Sampson, D. Yates, W. Yu, (2018). The WRF-Hydro modeling system technical description, (Version 5.0). NCAR Technical Note. 107 pages. Available online at Source Code DOI: /D6J38RBJ McKay, L., Bondelid, T., Dewald, T., Johnston, J., Moore, R., and Rea, A., (2012). NHDPlus Version 2: User Guide NHDPlus High Resolution Beta Production Status Update NHDPlus HR Availability Contact: Karen Adkins (kadkins@usgs.gov) The map below provides a general overview of NHDPlus HR availability. This status map is updated frequently on the Where is NHDPlus HR Available? section of the NHDPlus HR webpage. Blue areas - NHDPlus HR Beta is currently available and Beta QC is either in process or completed for these areas. Please see the NHDPlus HR Beta QC section of the NHDPlus HR webpage. Yellow areas - The NHDPlus HR Beta is in production and the USGS is currently seeking volunteers for the upcoming Beta QC for these areas. Please see the NHDPlus HR Beta QC section of the NHDPlus HR webpage for more information. Please contact the NHD/WBD Point of Contact in your area for more information on the status of NHD and WBD editing in these areas. Gray areas - NHDPlus HR Beta will be produced at a later date. Please see the general processing schedule on the NHDPlus HR webpage for more information. These areas are currently open for NHD and WBD editing. Red outline - These areas are currently closed to NHD and WBD editing. Please contact the NHD/WBD Point of Contact in your area for more information. National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

11 NHDPlus HR Ingredient Dataset Status - Network Improvement Project Contact: Hannah Boggs (hboggs@usgs.gov) The Network Improvement Project identifies and corrects network and data quality issues in the NHD dataset. One of the key drivers for this work is to provide data ready for the production of NHDPlus HR. Coordination with appropriate NHD POCs will begin prior to onset of work. Please Note: For all areas listed below, all new data will go through the QA/QC process as it becomes available. Network Improvement - Work Completed Regions - 01, 02, 03, 05, 06, 07, 09, 10, 11, 12, 13, 14, 15, 16, 17, 20, 21 and 22 Pilot areas , , 1902, 1801 Network Improvement - Currently In Work Regions - 04, 08, 18 Network Improvement - Future Work Region - 19 NHDPlus HR Ingredient Dataset Status - WBD 4-digit Improvement Project Contacts: Kimberly Jones (kjones@usgs.gov), Lily Niknami (lniknami@usgs.gov) The WBD 4-digit Improvement Project is identifying and correcting hydrologic unit boundary issues in the WBD at the 4-digit level in support of NHDPlus HR production. Instances where the NHD and WBD intersect are National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

12 being reviewed and invalid intersections are being addressed when appropriate. All proposed major updates to the WBD will be coordinated with the appropriate WBD state steward prior to implementation. WBD 4-digit Improvement - Work Completed Regions - 01, 02, 03, 04, 05, 06, 07, 08, 09, 10, 11, 12, 13, 14, 15, 16, 17, and 18 Pilot areas , , , and Mexican contributing hydrologic units in Region 13 WBD 4-digit Improvement - Currently In Work Canadian contributing hydrologic units in Region 04 WBD 4-digit Improvement - Future Work Region - 19, 20, 21 and 22 Hydrography Photo of the Month This month's photo is of the 2018 National Water Center Summer Institute Program participants. The Summer Institute has kicked off at the University of Alabama and the National Water Center with 24 graduate students from 18 universities (see map below). The Summer Institute participants spend seven weeks collaborating on projects designed to contribute to the NWC goals of enhancing water-related products and decision-support services across the country. Student group projects will be focused on the following themes: hyper-resolution modeling, groundwater-surface water modeling, computational aspects of hydrologic modeling, and citizen science data. (Credit: NOAA) National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

13 We d love to see photos of the hydrology near you or from your travels! Please send submissions to Becci Anderson (rdanderson@usgs.gov). Check out current and past photos on the Photo of the Month webpage. Hydrography Quiz Congratulations to Larry Stanislawski as the first to respond to the quiz with the correct answer - the Rose River! Larry Stanislawski has been working with the USGS National Geospatial Technical Operations Center in Rolla, Missouri since He is a research scientist within the USGS Center of Excellence in Geospatial Information Science (CEGIS) focusing on multiscale representation. His group is currently testing methods to extract water features from remotely sensed optical data in order to validate elevation-derived drainage line and breakline data, with emphasis on validating headwater features. Aside from existing field data, NHDPlus HR flow volume estimates may provide additional corroborative evidence for headwater features. Detailed field verification will be completed in small study areas through collection of hyperspectral and lidar data using an unmanned aerial system (UAS), i.e. drone. Well done, Larry! Thanks to our other respondents for for playing along: Becca Conklin, Barbara Rosenbaum, Jim Sherwood, Peter Cada, David Straub, Steve Shivers, Evan Hammer, Philip Rufe, Gita Urban-Mathieux, and Roger Barlow. National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

14 This Month s Quiz Question: National Water Center Science and Technology Showcase, held at the National Water Center in Tuscaloosa, Alabama on March 27, 2018, brought together partners and stakeholders from the government, private, and academic sectors to demonstrate to the public how the collaborative work being conducted at the National Water Center is transforming the Nation s water forecasting and prediction services. This speaking panel to Showcase attendees was held in the National Water Center auditorium, which is decorated on both side walls with major rivers of the U.S. Which major U.S. river is depicted on this wall? Hint: it s east of the Rocky Mountains. (Credit: NOAA) Send your answers with an subject including the phrase Hydro Quiz to Becci Anderson (rdanderson@usgs.gov). Happy hydro hunting! National Hydrography Dataset Newsletter, Vol. 17, No. 6, June

15 Upcoming USGS Hydrography Calls, Trainings, and Meetings Date Time Event 8/2 10:30 am ET NHD Basic 101 Training 7/11 12:00 pm ET NHD Technical Exchange Meeting 7/11 12:00 pm ET WBD Technical Exchange Meeting 8/9 10:30 am ET NHD Update Toolbar Training - Toolbar Functionality 7/24 1:00 pm ET NHD/WBD Advisory Call 8/23 10:30 am ET NHD Update Toolbar Training - Quality Control To be added to the NHD/WBD Advisory Call list, please contact Becci Anderson (rdanderson@usgs.gov). For more information on technical exchange meetings and trainings, please see the Hydrographic Data Community (HDC) site. For access to the HDC site, please contact Lily Niknami (lniknami@usgs.gov). Thank you to this month s USGS National Hydrography Dataset Newsletter contributors: Brian Cosgrove, David Gochis, Kevin Sampson, Matthew Womble, Kimberly Jones, Lily Niknami, Karen Adkins, Hannah Boggs, Ray Postolovski, Al Rea, Susan Buto, and Becci Anderson. Join Our Community! For more information, to sign up for the newsletter, or to contribute, please contact Becci Anderson, USGS National Hydrography Co-Lead, at rdanderson@usgs.gov. Visit us anytime at nhd.usgs.gov and follow us on Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. National Hydrography Dataset Newsletter, Vol. 17, No. 6, June