Filters: Tags: Low Flow or Peak Flow (X) > partyWithName: Christopher L Gazoorian (X)

Filters Date Range Past year (2) Past month (2) Past week (0) Past day (0) Custom range... To   Search Extensions Project (1) Shapefile (1) Types Map Service (2) OGC WFS Layer (2) OGC WMS Layer (2) Downloadable (1) OGC WMS Service (1) Shapefile (1) Contacts Alexander P Graziano New York Water Science Center Arthur G Lilienthal U.S. Geological Survey U.S. Geological Survey - ScienceBase Travis L Smith Water Resources Categories Data (2) Project (1) Tag Types Label (1) Water Science Field Team Keywords (1) NYWSC_CMS_L3_Topics (1) Place (1) Theme (1) CMS Non-theme Topics (1) CMS Themes (1) More... Tag Schemes https://www.sciencebase.gov/vocab/category/WRET/CMS_L3_Topics/NYWSC_CMS_L3_Topics (2) https://www.sciencebase.gov/vocab/category/WRET/WRET_L3_Keyword/WRET_L3_NYWSC (1) https://www.sciencebase.gov/vocab/category/WaterScienceFieldTeam/WaterScienceFieldTeam (1) Geographic Names Information System (GNIS) (1) USGS Thesaurus (1) https://www.sciencebase.gov/vocab/category/WRET/CMS_Themes/NYWSC_CMS_Themes (2) https://www.sciencebase.gov/vocab/category/WRET/CMS_Topics/NYWSC_CMS_Topics (2) More... View Results as: JSON ATOM CSV

Surface-Water Data Collection in New York Problem Surface-water information is needed for planning, design, hazard warning, and operation and management in water-related fields such as water supply, hydroelectric power, flood control, irrigation, bridge and culvert design, wildlife management, pollution abatement, flood-plain management, and water-resources development. Appropriate historical and real-time surface-water data, such as stream flow and stage, reservoir levels, and water temperature, are necessary to properly assess, manage and protect water resources. Objectives Collect timely and high quality surface-water data for (1) assessment of water resources; (2) operation of reservoirs or industries; (3) forecasting flow; (4) disposal of wastes... Categories: Data, Project; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Climate Impacts, Climate Impacts, Climate Research and Development, Climate impacts, Cooperative Water Program, All tags... Core Science Analytics, Synthesis, and Libraries, Ecoflows, Ecoflows, Ecoflows, Energy Resources, Environments, Flood Inundation, Flood Inundation, Flood Inundation, Floods and Droughts, GW or SW, GW or SW, GW or SW, Groundwater and Streamflow Information, Groundwater and Streamflow Information, Low Flow or Peak Flow, Low Flow or Peak Flow, Low flow or peak flow, SW Model, SW model, Stream Hydraulics, Stream Hydraulics, Stream hydraulics, StreamStats, StreamStats, StreamStats, Surface-Water Monitoring, Surface-Water Monitoring, Surface-Water Monitoring, Toxic Substance Hydrology, USGS New York Water Science Center, WSC, Fewer tags Flood-Frequency Data for Six Selected Streamgages Following the Central New York Flood of October 31 – November 3, 2019 This U.S. Geological Survey (USGS) data release contains batch formatted annual peak streamflow data (PkFlows_AllSites.txt) through the 2020 water year for six selected USGS streamgages (01321000, 01342797, 01343060, 01346000, 01347000, and 01348000) that recorded the flood of October 31 – November 3, 2019, which severely affected the Mohawk Valley and southern Adirondack region in central New York State. This data release also contains batch formatted specification (PkFlows_AllSites.psf) and output (PEAKFLOWS_ALLSITES.PRT) files from log-Pearson type III (LPIII) flood-frequency analysis of the annual peak streamflow data in version 7.4 of the USGS PeakFQ software (Flynn and others, 2006), which implements the Bulletin... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: East Canada Creek, Flood Science, Groundwater and Streamflow Information, Hydrology, Low Flow or Peak Flow, All tags... Mohawk River, New York, Sacandaga River, USGS Science Data Catalog (SDC), USGS:62ebdf6bd34eacf539724c9d, West Canada Creek, floods, hydrology, streamflow, water resources, Fewer tags