2008-2009 bottom currents, turbidity, wind and waves in Lake Erie. The dataset is used for calculating bottom shear stress and evaluating bottom shear stress parameterization methods. Bottom shear stress is the driving force of sediment entrainment. Understanding bottom shear stress and being able to model it allows for better understanding of erosion and deposition in Lake Erie.

Biomass distribution among size classes follows a power law where the Log-abundance of taxa scales to Log-size with a slope that responds to environmental abiotic and biotic conditions. The interactions between ecological mechanisms controlling the slope of locally realized size-abundance relationships (SAR) are however not well understood. Here we tested how warming, nutrient levels, and grazing affect the slope of phytoplankton community SARs in decadal time-series from eight Swiss lakes of the peri-alpine region, which underwent environmental forcing due to climate change and oligotrophication. We expected rising temperature to have a negative effect on slope (favoring small phytoplankton), and increasing nutrient levels and grazing pressure to have a positive effect (benefiting large phytoplankton). Using a random forest approach to extract robust patterns from the noisy data, we found that the effects of temperature (direct and indirect through water column stability), nutrient availability (phosphorus and total biomass), and large herbivore (copepods and daphnids) grazing and selectivity on slope were non-linear and interactive. Increasing water temperature or total grazing pressure, and decreasing phosphorus levels, had a positive effect on slope (favoring large phytoplankton, which are predominantly mixotrophic in the lake dataset). Our results therefore showed patterns that were opposite to the expected long-term effects of temperature and nutrient levels, and support a paradigm in which (i) small phototrophic phytoplankton appear to be favored under high nutrients levels, low temperature and low grazing, and (ii) large mixotrophic algae are favored under oligotrophic conditions when temperature and grazing pressure are high. The effects of temperature were stronger under nutrient limitation, and the effects of nutrients and grazing were stronger at high temperature. Our study shows that the phytoplankton local SARs in lakes respond to both the independent and the interactive effects of resources, grazing and water temperature in a complex, unexpected way, and observations from long-term studies can deviate significantly from general theoretical expectations.

In freshwater lakes, large amounts of methane are formed in anoxic sediments. Methane-oxidizing bacteria effectively convert this potent greenhouse gas into biomass and carbon dioxide. These bacteria are present throughout the water column where methane concentrations can range from nanomolar to millimolar concentrations. In this study, we tested the hypothesis that methanotroph assemblages in a seasonally stratified lake exhibit contrasting methane oxidation kinetics in the methane-rich hypolimnion compared to the epilimnion with low methane concentrations. We further examined the change of methane oxidation kinetics during autumn overturn as more methane becomes available in the epilimnion. Together with the change of methane oxidation kinetics, we investigated changes in the transcription of genes encoding the methane monooxygenase (MMO), which is the enzyme responsible for the first step of methane oxidation. We show that the half-saturation constant (Km) obtained from laboratory experiments with the natural microbial community differed by two orders of magnitude between epi- and hypolimnion during stable stratification. During lake overturn, however, the kinetic constants at the lake surface and in the deep-water converged along with a change of the methanotroph assemblage. Conventional particulate MMO seemed responsible for the methane-oxidation under different methane concentrations. Our results suggest that changing methane availability creates niches for methanotroph assemblages with well-adapted methane-oxidation kinetics. This rapid selection and succession of adapted lacustrine methanotroph assemblages seem to support that the reported high removal efficiency of more than 90% is maintained even under rapidly changing conditions during lake overturn. Consequently, only a small fraction of methane stored in the anoxic hypolimnion is emitted to the atmosphere.

When lakes experience surface cooling, the shallow littoral region cools faster than the deep pelagic waters. The lateral density gradient resulting from this differential cooling can trigger a cold downslope density current that intrudes at the base of the mixed layer during stratified conditions. This process is known as a thermal siphon (TS). A TS flushes the littoral region and increases water exchange between nearshore and pelagic zones and may thus potentially impact the lake ecosystem. Past observations of TS in lakes are limited to specific cooling events. Here, we focus on the seasonality of TS-induced lateral transport and investigate how seasonally varying forcing conditions control the occurrence and intensity of TS. This research interprets one-year-long TS observations from Rotsee (Switzerland), a small wind-sheltered temperate lake with an elongated shallow region. We demonstrate that a TS occurs for more than 50 % of the days from late summer to winter and efficiently flushes the littoral region within ~10 hours. We further quantify the occurrence, intensity and timing of the TS over seasonal time scales. The conditions for TS formation become optimal in autumn when the duration of the cooling phase is longer than the time necessary to initiate a TS. The decrease in surface cooling by one order of magnitude from summer to winter reduces the lateral transport by a factor of two. We interpret this transport seasonality with scaling relationships relating the daily averaged cross-shore velocity, unit-width discharge and flushing timescale to the surface buoyancy flux, mixed layer depth and lake bathymetry. The timing and duration of diurnal flushing by TS relate to daily heating and cooling phases. The longer cooling phase in autumn increases the flushing duration and delays the time of maximal flushing relative to the summer diurnal cycle. Given their scalability, the results reported here can be used to assess the relevance of TS in other lakes and reservoirs.

Turbulent mixing controls the vertical transfer of heat, gases and nutrients in stratified water bodies, shaping their response to environmental forcing. Nevertheless, due to technical limitations, the redistribution of wind-derived energy fuelling turbulence within stratified lakes has only been mapped over short (sub-annual) timescales. Here we present a year-round observational record of energy fluxes in the large Lake Geneva. Contrary to the standing view, we show that the benthic layers are the main locus for turbulent mixing only during winter. Instead, most turbulent mixing occurs in the water-column interior during the stratified summer season, when the co-occurrence of thermal stability and lighter winds weakens near-sediment currents. Since stratified conditions are becoming more prevalent --possibly reducing turbulent fluxes in deep benthic environments--, these results contribute to the ongoing efforts to anticipate the effects of climate change on freshwater quality and ecosystem services in large lakes.

Learn the condition of local streams, lakes and other waters anywhere in the US... quickly and in plain language. See if your local waterway was checked for pollution, what was found, and what is being done.

This data set has information on temperature of water at the bottom of inland water bodies; thickness of ice on inland water bodies (lakes, reservoirs and rivers) and coastal waters; temperature of the uppermost surface of ice on inland water bodies (lakes, reservoirs, rivers) and coastal waters; the mean temperature of total water column in inland water bodies (lakes, reservoirs and rivers) and coastal waters; Amount of water in the vegetation canopy and/or in a thin layer on the soil. It represents the amount of rain intercepted by foliage, and water from dew; Volume of water in soil layer (0 - 289 cm) of the ECMWF Integrated Forecasting System; The amount of evaporation from bare soil at the top of the land surface; surface runoff

This dataset is a compilation of glacial lake shoreline data based on surficial geologic mapping in New England and New York from 1937-2019. Data are derived from 0.7 meter resolution LiDAR DEMs and 30 meter resolution National Elevation Dataset DEMs (Glacial Lake Hitchcock). Reference: Springston, G., Wright, S., and Van Hoesen, J., 2020, Major Glacial Lakes and the Champlain Sea, Vermont: Vermont Geological Survey Miscellaneous Publication VGSM2020-1, Scale 1:250,000.

NHD_MajorAreas are a subset of the largest double banked stream/river polygon features selected from the High Resolution NHD dataset for Washington State. This subset includes only NHDAreas that have an associated NHD_MajorStream. NHD_MajorStreams are classified as those that have GNIS Names that include "River", or have a Stream Order > 7, or have a GNIS Name that includes "Creek" and is longer than 24 km. NHD_MajorAreas have an NHD_MajorStream flowing through it.The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. This high-resolution NHD, generally developed at 1: 12,000/1:24,000 scale, adds detail to the original 1:100,000-scale NHD. Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee. Updated March 2019

NHD_MajorWaterbodies are a subset of the largest waterbody features selected from the High Resolution NHD dataset for Washington State. This subset includes only waterbodies that are classified as lake/ponds ,reservoirs, or estuaries and that are > 1 sqKm (10763900 sqft).The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. This high-resolution NHD, generally developed at 1:12,000/1:24,000 scale, adds detail to the original 1:100,000-scale NHD Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.

http://spatialagent.org/KIDS/

Phytoplankton and cyanobacteria. This dataset is associated with the following publication: Chen, K., J. Lu, and J. Allen. 12 Community structures of phytoplankton with emphasis of toxic cyanobacteria in an Ohio inland lake during bloom season. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, 9(11): 1-29, (2017).

The Global Lake/Reservoir Storage Time Series is derived from the Surface Water Height Time Series and Surface Water Extent Mask Time Series products.

Ecology created SMA_Poly_Adopt (also known as SMA_Jurisdiction_Lakes) by selecting appropriate water bodies from the National Hydrographic Dataset "NHDWaterbody.lyr" as maintained by the Department of Ecology.The Shoreline Management Act (SMA) applies to lake sand reservoirs greater than 20 acres in area. The area used to make this determination is defined by a continuous ordinary high water mark and may include vegetated areas as well as open water areas.Lakes over 1,000 acres in area and all associated shorelands are shorelines of statewide significance. Lakes of statewide significance are listed by county in WAC 173-20.Water bodies found to be smaller than the 20-acre minimum will be removed from SMA_Poly_Adopt. Water bodies greater than 20 acres not captured in SMA_Poly_Adopt will be added to it. These changes occur on an irregular basis. See Chapter 173-18-044 WACThe SMA_Jurisdiction_Lakes dataset was resynchronized to the March 2019 version of the NHDhttps://ecology.wa.gov/Water-Shorelines/Shoreline-coastal-management/Shoreline-coastal-planning/Shoreline-Master-Programs

This dataset contains spatial and attribute information of the Surface Water Quality Standards for the State of Washington, Chapter 173-201A WAC. Four views of the WQ Standard are contained in this dataset, Freshwater Beneficial Uses, Seasonal Supplemental Spawning and Egg Incubation Temperature Standards, rules designated in Table 602, and exceptions to Table 602 listed in the footnotes. If any discrepancies are found between GIS layers and the published rule, the published rule takes precedence. Updated April 2018.

This dataset contains spatial and attribute information of the Surface Water Quality Standards for the State of Washington, Chapter 173-201A WAC. Four views of the WQ Standard are contained in this dataset, Freshwater Beneficial Uses, Seasonal Supplemental Spawning and Egg Incubation Temperature Standards, rules designated in Table 602, and exceptions to Table 602 listed in the footnotes. If any discrepancies are found between GIS layers and the published rule, the published rule takes precedence. Updated April 2018.

This dataset contains spatial and attribute information of the Surface Water Quality Standards for the State of Washington, Chapter 173-201A WAC. Four views of the WQ Standard are contained in this dataset, Freshwater Beneficial Uses, Seasonal Supplemental Spawning and Egg Incubation Temperature Standards, rules designated in Table 602, and exceptions to Table 602 listed in the footnotes. If any discrepancies are found between GIS layers and the published rule, the published rule takes precedence. Updated April 2018.

USGS Real Time Water Data for New Mexico includes streamflow, groundwater, lake and reservoir, precipitation, and water quality data. Real-time data typically are recorded at 15-60 minute intervals, stored onsite, and then transmitted to USGS offices every 1 to 4 hours, depending on the data relay technique used.

The EU Water Framework Directive (2000/60/EC) (WFD) establishes a framework for the protection, improvement and management of surface waters and groundwaters. A new WFD lake catchment layer was created in 2022. New lake catchments were delineated for every WFD lake from the outflow up to very farthest source, i.e. the whole catchment. If multiple lakes exist along the same river system, their catchments overlap.

The EU Water Framework Directive (2000/60/EC) (WFD) establishes a framework for the protection, improvement and management of surface waters and groundwaters. A new lake catchment layer of unnested WFD lake catchments was delineated in 2022. For every WFD lake water body, an un-nested lake catchment was delineated from the outflow up to the next upstream WFD lake (as taken from lake waterbodies layer).

This dataset contains the status results for lake waterbodies (LWB) and status assigned to unmonitored WFD LWBs as part of the EU Water Framework Directive (2000/60/EC) with the objectives to achieve or maintain at least good ecological status and good chemical status

The Water Level is defined as the height, in meters above the geoid, of the reflecting surface of continental water bodies. It is observed by space radar altimeters that measure the time it takes for radar pulses to reach the ground targets, directly below the spacecraft (nadir position), and return. Hence, only water bodies located along the satellite's ground tracks can be monitored, with a quality of measurement that not only depends of the size of the water body, but also on the reflecting targets in its surroundings such as topography or vegetation. Water Level is computed as time series: over lakes ; over rivers, at the intersections of the river network with the satellite ground tracks, so-called Virtual Stations. The Water Level of lakes is recognized as an Essential Climate Variable (ECV) by the Global Climate Observing System (GCOS).