Skip to main content
Advanced Search

Filters: Categories: Data (X)

Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northeast CASC ( Show direct descendants )

115 results (23ms)   

Location

Folder
ROOT
_ScienceBase Catalog
__National and Regional Climate Adaptation Science Centers
___Northeast CASC
Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
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...
thumbnail
This dataset represents the connections between each nearby pair of 2080 cores for American woodcock. It is intended to highlight areas important for connecting cores and to visually represent the connections among refugia cores.
thumbnail
This dataset represents the connections between each nearby pair of 2020 cores for Blackburnian warbler. It is intended to highlight areas important for connecting cores and to visually represent the connections among cores.
thumbnail
This dataset details individual species and natural habitat vulnerability rankings, including contextual study-specific information. This data was collected from original publications found through a literature search. Information is cumulative to include climate change vulnerability assessment (CCVA) results summarized in Staudinger et al. (2015) and published as of December 2023.
thumbnail
This dataset provides model specifications used to estimate water temperature from a process-based model (Hipsey et al. 2019). The format is a single JSON file indexed for each lake based on the "site_id". This dataset is part of a larger data release of lake temperature model inputs and outputs for 68 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9AQPIVD).
thumbnail
This dataset includes model inputs that describe local weather conditions for Sparkling Lake, WI. Weather data comes from two sources: locally measured (2009-2017) and gridded estimates (all other time periods). There are two comma-delimited files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of...
thumbnail
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin. Process-Based (PB) models were configured and calibrated with training data to reduce root-mean squared error. Uncalibrated models used default configurations (PB0; see Winslow et al. 2016 for details) and no parameters were adjusted according to model fit with observations. Deep Learning (DL) models were Long Short-Term Memory artificial recurrent neural network models which used training data to adjust model structure and weights for temperature predictions (Jia et al. 2019). Process-Guided Deep Learning (PGDL) models were DL models with an added...
thumbnail
This dataset includes model inputs that describe weather conditions for the 68 lakes included in this study. Weather data comes from gridded estimates (Mitchell et al. 2004). There are two comma-separated files, one for weather data (one row per model timestep) and one for ice-flags, which are used by the process-guided deep learning model to determine whether to apply the energy conservation constraint (the constraint is not applied when the lake is presumed to be ice-covered). The ice-cover flag is a modeled output and therefore not a true measurement (see "Predictions" and "pb0" model type for the source of this prediction). This dataset is part of a larger data release of lake temperature model inputs and outputs...
thumbnail
This dataset represents the connections between each nearby pair of 2080 cores for Cerulean warbler. It is intended to highlight areas important for connecting cores and to visually represent the connections among refugia cores.
The timing of life-history events in many plants and animals depend on specific environmental conditions that fluctuate with seasonal conditions. Climate change is altering environmental regimes and disrupting natural cycles and patterns across communities. Anadromous fishes that migrate between marine and freshwater habitats to spawn are particularly sensitive to shifting environmental conditions, and thus are vulnerable to the effects of climate change. However, for many anadromous fish species the specific environmental mechanisms driving migration and spawning patterns are not well understood. The data in this release are a supplement to the publication Legett et al. (2021). Daily patterns of river herring (Alosa...
thumbnail
It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,...
thumbnail
It is well recognized that the climate is warming in response to anthropogenic emission of greenhouse gases. Over the last decade, this has had a warming effect on lakes. Water clarity is also known to effect water temperature in lakes. What is unclear is how a warming climate might interact with changes in water clarity in lakes. As part of a project at the USGS Office of Water Information, several water clarity scenarios were simulated for lakes in Wisconsin to examine how changing water clarity interacts with climate change to affect lake temperatures at a broad scale. This data set contains the following parameters: year, WBIC, durStrat, max_schmidt_stability, mean_schmidt_stability_JAS, mean_schmidt_stability_July,...
thumbnail
Forests in the Eastern United States are in the early- and mid-successional stages recovering from historical land use. Succession, harvest, and climate are potentially important factors affecting forest composition and structure in the region. The goal of this project was to predict the distribution and abundance of dominant tree species across portions of the Eastern U.S. under alternative climate scenarios from present to the end of the century. We used the forest landscape change LANDIS PRO and hybrid empirical-physiological ecosystem model LINKAGES to model changes in forest biomass and species abundances and distribution in the North Atlantic region of the U.S. while accounting for climate change, succession,...
thumbnail
This data set contains daily survival rates from 81 studies of passerine obligate grassland bird species that primarily breed in the United States; patch size information was extracted when available. Temperature and precipitation variables were calculated for the study sites and years the data were collected. The studies we used collected data across the period 1978 to 2013.
thumbnail
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...
thumbnail
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.
thumbnail
This data release consists of four datasets that were used for evaluating winter drawdown patterns in 166 Massachusetts lakes greater than 0.3 km2 surface area. The first dataset (“Water area and level.csv”) provides water area and water level time series data of 166 lakes from 2016 to 2021. Water area and water level time-series data were derived from European Space Agency’s Sentinel 1 synthetic aperture radar satellite sensor using the JavaScript code in Google Earth Engine platform. Details of this code were described in the software release (https://doi.org/10.5066/P9ZA5I1U). The second dataset (“Water area interpolated.csv”) is the linearly-interpolated daily water area time series data of the 166 lakes from...
thumbnail
Temperate lakes may contain both coolwater fish species such as walleye (Sander vitreus) and warmwater species such as largemouth bass (Micropterus salmoides). Recent declines in walleye and increases in largemouth bass populations have raised questions regarding the future trajectories and appropriate management actions for these important species. We developed a thermodynamic model of water temperatures driven by downscaled climate data and lake specific characteristics to estimate daily water temperature profiles for 2148 lakes in Wisconsin, USA under contemporary (1989-2014) and future (2040-2064 and 2065-2089) conditions. We correlated contemporary walleye recruitment success and largemouth bass relative abundance...
thumbnail
Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used, ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity, maximum...


map background search result map search result map Wisconsin Lake Temperature Metrics Decreasing Clarity Wisconsin Lake Temperature Metrics Increasing Clarity CM2.0 model: Projected shifts in fish species dominance in Wisconsin lakes under climate change Model configuration: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes Changes in Forested Landscapes of the Northeastern U.S. Under Alternative Climate Scenarios Daily Survival Rates of Grassland Passerines and Associated Weather Variables (1978-2013) Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values) Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data Process-guided deep learning water temperature predictions: 3c All lakes historical inputs Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs 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 Pairwise comparisons of river herring run dynamics and environmental regimes among Massachusetts streams American woodcock 2080 conductance Blackburnian warbler 2020 conductance Cerulean warbler Climate Refugia 2080 A Remote Sensing Approach to Characterize Winter Water Level Drawdown Patterns in Lakes A Synthesis of Climate Change Vulnerability Assessment Rankings for Species of Greatest Conservation Need in the Northeast US from 2010-2023 Process-guided deep learning water temperature predictions: 3b Sparkling Lake inputs A Remote Sensing Approach to Characterize Winter Water Level Drawdown Patterns in Lakes Pairwise comparisons of river herring run dynamics and environmental regimes among Massachusetts streams Climate Change Scenario Inundation Metrics along the Upper and Middle Mississippi and Lower Missouri Rivers CM2.0 model: Projected shifts in fish species dominance in Wisconsin lakes under climate change Wisconsin Lake Temperature Metrics Decreasing Clarity Wisconsin Lake Temperature Metrics Increasing Clarity Process-guided deep learning water temperature predictions: 2 Model configurations (lake metadata and parameter values) Process-guided deep learning water temperature predictions: 5c All lakes historical prediction data Process-guided deep learning water temperature predictions: 3c All lakes historical inputs Model configuration: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes 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 Changes in Forested Landscapes of the Northeastern U.S. Under Alternative Climate Scenarios Blackburnian warbler 2020 conductance Cerulean warbler Climate Refugia 2080 A Synthesis of Climate Change Vulnerability Assessment Rankings for Species of Greatest Conservation Need in the Northeast US from 2010-2023 Daily Survival Rates of Grassland Passerines and Associated Weather Variables (1978-2013) American woodcock 2080 conductance