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Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1...
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UW_Olallie_photo_metadata & image files: These are the raw timelapse photographs. The date/time stamp is inaccurate for the camera deployed in the open (at the SNOTEL) due to a programming error. This timestamp is one day early (i.e., subtract 1 day from the timestamp when using these data). Also available is metadata for two timelapse cameras and their associated snow depth poles (two visible in each camera's field of view) deployed at Olallie Meadows SNOTEL during water year 2015. One camera was deployed in the open area that is the Olallie Meadows SNOTEL station (the snow pillow is in the field of view). The other camera was deployed in the adjacent forest, approximately 60 m to the southeast of the SNOTEL....
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UI_Mica_Location: Location metadata and meteorological and snow depth observations from met towers in the Mica Creek Experimental Forest. Data were collected at 7 different station sites at approximately half-hour intervals for water years 2003-2006, with discontinuous records due to equipment malfunction or damage. Stations were located within different forest harvest treatment sections, applied to the watershed in approximately 2001, including clear-cut harvest, partial harvest, and control sections (both second growth and old growth control forests). Site Data Citation for full description of the field campaign and sites. UI_Mica_met: Metadata and associated snow depth and SWE observations from 14 manual...
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This data release includes data-processing scripts, data products, and associated metadata for a study to model the hydrology of several hundred vernal pools (i.e., seasonal pools or ephemeral wetlands) across the northeastern United States. More information on this study is available from the project website. This data release consists of several components: (1) an input dataset and associated metadata document ("pool_inundation_observations_and_climate_and_landscape_data"); (2) an annotated R script which processes the input dataset, performs inundation modeling, and generates model predictions ("annotated_R_script_for_pool_inundation_modeling.R"); and (3) a model prediction dataset and associated metadata document...
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The dataset provided here and described in this metadata document consists of several components: (1) pool-specific attributes including name and geographic location, (2) time-varying inundation observations collected between May 2004 and July 2016; (3) landscape attributes associated with pool locations including geologic, soil, and landcover characteristics; (4) short- and medium-term weather and climate variables for time periods (for example, 5-days and 6-months) immediately preceding the dates of inundation observations; and (5) long-term (30-year average) climate variables associated with pool locations.
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Spatially distributed snow depth and snow duration data were collected over two to four snow seasons during water years 2011-2014 in experimental forest plots within the Cedar River Municipal Watershed, 50 km east of Seattle, Washington, USA. These 40 m × 40 m forest plots, situated on the western slope of the Cascade Range, include un-thinned second-growth coniferous forest as control treatments, variable density thinned forests, forest gaps in which a 20 m diameter (approximately equivalent to one tree height) gap was cut in the middle of each plot, and old growth forest. Together, this publicly available dataset includes snow depth observations from manual snow courses, distributed snow duration observations...
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Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1...
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The dataset provided here and described in this metadata document contains predicted wetness probability (PWP) values for vernal pools under a variety of weather and climate conditions at several seasonal time points, generated using inundation models as described in the processing steps section of this metadata document and in the annotated R script included in this data release ("annotated_R_script_for_pool_inundation_modeling.R"). PWP values represent the predicted likelihood of a pool holding water according to a specified inundation threshold, as defined in this metadata document. PWP values can theoretically range from 0 (pool is predicted to have no chance of inundation) to 1 (pool is predicted to have 100...
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Daily snow depth values from the UW Snoqualmie Pass site. A timelapse camera and 3 snow depth poles were deployed at the forest plot during water year 2015. Manual snow stake observations were taken in the open plot. This comparison of snow depth between the open and forest uses the daily snow depth data observed with the snow stake, rounded to 5cm, compared to the average of all visible pole values in the forest (read by eye from photos), also rounded to 5 cm. These data have been processed, aggregated and rounded. Raw photographs of the forest poles are also available. UW_Snoqualmie_snow_camera Attributes: Site - Snoqualmie, Cover - Forest or open, WY - water year 2015, Date - yyyy-mm-dd, Method - snow...
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These files include a derived 50 meter spatial resolution Compound Topographic (or Wetness) Index ([CTI or TWI](https://en.wikipedia.org/wiki/Topographic_Wetness_Index)) and Flow Accumulation (as represented by specific catchment area, SCA) calculated from a continuous, transboundary DEM developed across the Alaska perhumid coastal temperate rainforest (AKPCTR). The extent of this dataset includes all of the Alaska and Canada watersheds that discharge into southeast Alaska coastal waters, which covers essentially the northern half of the full PCTR. The transboundary DEM used to calculate the CTI can be here: [link](http://ckan.snap.uaf.edu/dataset/a-continuous-transboundary-50-meter-dem-for-the-alaska-perhumid-coastal-temperate-rainforest-ak06b59)...
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Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1...
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AKPCTR_DEM is a 50-meter resolution, bare-earth digital elevation model (DEM) in raster (geotiff) format. The perhumid (wettest) region of the North American coastal temperate rainforest (PCTR) extends along the coast of British Columbia and southeast Alaska between approximately 50.57 and 59.6 degrees north latitude.The extent of this dataset includes all of the Alaska and Canada watersheds that discharge into southeast Alaska coastal waters, which covers essentially the northern half of the PCTR. **General Methods:** Using Desktop ArcGIS version 10.3.1, the following three elevation datasets were combined to create a continuous DEM for the Alaska perhumid coastal temperate rainforest (AKPCTR) watersheds: 1)...
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Snow and meteorological observations were collected over a range of water years (WY) by three research institutions and by citizen scientists to characterize forest effects on snow processes across the Pacific Northwest, USA. Fourteen total study sites cover the western slopes and crest of the Cascade Range in WA and OR, and central and northern ID. Each study location includes one or more paired forest and open area in which to compare snow observations. A range of forest canopy densities and data collection strategies are represented, including paired manual snow courses, snow pits, automated sensors, and time-lapse images of snow measurement poles. Analysis and synthesis of all of these sites are presented in...
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OSU_SnowCourse Summary: Manual snow course observations were collected over WY 2012-2014 from four paired forest-open sites chosen to span a broad elevation range. Study sites were located in the upper McKenzie (McK) River watershed, approximately 100 km east of Corvallis, Oregon, on the western slope of the Cascade Range and in the Middle Fork Willamette (MFW) watershed, located to the south of the McKenzie. The sites were designated based on elevation, with a range of 1110-1480 m. Distributed snow depth and snow water equivalent (SWE) observations were collected via monthly manual snow courses from 1 November through 1 April and bi-weekly thereafter. Snow courses spanned 500 m of forested terrain and 500 m...
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Results of a citizen science effort in which students and instructors at the McCall Outdoor Science School (MOSS) collected snow observations every 1-4 weeks at their field site within Ponderosa State Park (elevation 1540 m), adjacent to Payette Lake, ID. Students documented snow cover within forested versus open areas at each site via photographs and estimates of the continuity of snow cover. Additionally, snow depth and density were measured via snow pits in the forest and the open. Data were entered via a Google Form, and the results recorded in this table. Site Data Citation for full description of the field campaign and sites. Field photographs are archived along with these data, sorted by site name, with timestamp...
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Within large-river ecosystems, floodplains serve a variety of important ecological functions. A recent survey of 80 managers of floodplain conservation lands along the Upper and Middle Mississippi and Lower Missouri Rivers in the central United States found that the most critical information needed to improve floodplain management centered on metrics for characterizing depth, extent, frequency, duration, and timing of inundation. These metrics can be delivered to managers efficiently through cloud-based interactive maps. To calculate these metrics, we interpolated an existing one-dimensional HEC-RAS hydraulic model for the Lower Missouri River, which simulated water surface elevations at cross sections spaced (<1...
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UIEF_wind Summary: Within the Flat Creek Unit of the University of Idaho Experimental Forest (UIEF) near Moscow, ID, 30-minute snow depth and meteorological data were collected at seven locations across the Lawler Landing site (elevation 880 m) from February to May of WY 2008. A 70 m north-south oriented transect of 5 snow depth sensors was deployed to record sub-daily snow depth, with co-located meteorological instruments. The sensors traversed a 40 m long elliptical forest gap and the adjacent forest in both directions. The locations were the same as those used previously to quantify how shortwave and longwave radiation vary across a forest gap [Lawler and Link, 2011]. Two additional snow depth sensors and meteorological...
    map background search result map search result map Observations of snow depth and meteorological variables in forests and nearby open areas at field sites in Washington, Oregon, and Idaho, USA Citizen science snow observations at the McCall Outdoor Science School, McCall, ID Manual snow course observations, raw met data, raw snow depth observations, locations, and associated metadata for Oregon sites Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Smoothed snow depth data, location, raw data with headers, and associated metadata for University of Idaho Experimental Forest Lawler Landing site Observations of distributed snow depth and snow duration within diverse forest structures in a maritime mountain watershed Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 Timelapse photos, locations, and associated metadata for Snoqualmie Pass, WA Compound Topographic Index and Specific Catchment Area for the Alaska Perhumid Coastal Temperate Rainforest A Continuous, Transboundary, 50-meter DEM for the Alaska Perhumid Coastal Temperate Rainforest (AKPCTR_DEM) Science to Inform Management of Floodplain Conservation Lands under Non-Stationary Conditions Baseline Inundation Metrics for the Upper and Middle Mississippi and Lower Missouri Rivers Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers Quantify Depth of Inundation for Floodplains on the Missouri River for a Calculated Return Interval of 5 Years Inundation observations and inundation model predictions for vernal pools of the northeastern United States Inundation observations, climate data, and landscape attributes for vernal pools of the northeastern United States Inundation predictions for vernal pools of the northeastern United States at various seasonal time points under various weather and climate scenarios Timelapse photos at SNOTEL station, locations, and associated metadata, Ollalie Meadows, Wash., 2015 Timelapse photos, locations, and associated metadata for Snoqualmie Pass, WA Citizen science snow observations at the McCall Outdoor Science School, McCall, ID Long format snow course observations, meteorological sensor observations,locations, and associated metadata for Mica Creek, Idaho Observations of distributed snow depth and snow duration within diverse forest structures in a maritime mountain watershed Smoothed snow depth data, location, raw data with headers, and associated metadata for University of Idaho Experimental Forest Lawler Landing site Manual snow course observations, raw met data, raw snow depth observations, locations, and associated metadata for Oregon sites Quantify Depth of Inundation for Floodplains on the Missouri River for a Calculated Return Interval of 5 Years Baseline Inundation Metrics for the Upper and Middle Mississippi and Lower Missouri Rivers Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers Science to Inform Management of Floodplain Conservation Lands under Non-Stationary Conditions Observations of snow depth and meteorological variables in forests and nearby open areas at field sites in Washington, Oregon, and Idaho, USA Inundation observations and inundation model predictions for vernal pools of the northeastern United States Inundation observations, climate data, and landscape attributes for vernal pools of the northeastern United States Inundation predictions for vernal pools of the northeastern United States at various seasonal time points under various weather and climate scenarios Compound Topographic Index and Specific Catchment Area for the Alaska Perhumid Coastal Temperate Rainforest A Continuous, Transboundary, 50-meter DEM for the Alaska Perhumid Coastal Temperate Rainforest (AKPCTR_DEM)