Filters: Tags: temperature (X)
528 results (12ms)|
Filters
Types
(Less)
|
The Sea Surface Temperature (SST) data of the nearshore region of the North Pacific show temperature ranges in degrees C using points whose locations correspond to the centroids of AVHRR Pathfinder version 5 monthly, global, 4 km data set (PFSST V50). The pathfinder rasters are available from the Physical Oceanography Distributed Active Archive Center (PO.DAAC), hosted by NASA JPL. The data points in this dataset lie within a 20 km buffer from the GSHHS (Global Self-consistent, Hierarchical, High-resolution Shoreline) coastline. The GSHHS vector data are available from the National Geophysical Data Center (NGDC). Furthermore, each point in the SST dataset is categorized by the ecoregion in which it is located. This...
Degrees of change in temperature by 2060s. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.
MethodsStudy area: Our initial study area included the entire globe. We began with a seamless grid of cells with a resolution of 0.5 degrees (i.e., ~50 km at the equator). Next, we created polylines representing coastlines using SRTM (Shuttle Radar Topographic Mission) v4.1 global digital elevation model data at a resolution of 250 m (Reuter et al. 2007). We used these coastline polylines to identify and retain cells that intersected the coast. We excluded 192,227 cells that did not intersect the coast. To avoid cells with minimal potential coastal wetland habitat, we used the coastline data to remove an additional 1,056 coastal cells that contained less than or equal to 5% coverage of land. We also removed 176...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Climate change,
USGS Science Data Catalog (SDC),
abundance,
climate gradients,
climatic drivers,
This dataset provides one shapefile of polylines for the 456 river segments in this study, and one shapefile of reservoir polygons for the Pepacton and Cannonsville reservoirs.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: DE,
Delaware,
MD,
Maryland,
NJ,
PCIC offers statisically downscaled daily climate scenarios, at a gridded resolution of 300 arc-seconds (0.0833 degrees, or roughly 10 km) for the simulated period of 1950-2100. The variables available include minimum temperature, maximum temperature, and precipitation. These downscaling outputs are based on Global Climate Model (GCM) projections from the Coupled Model Intercomparison Project Phase 5 (CMIP5) and historical daily gridded climate data for Canada. Statistical properties and spatial patterns of the downscaled scenarios are based on this gridded observational dataset, which represents one approximation of the actual historical climate. Gridded values may differ from climate stations and biases may...
Categories: Data;
Types: Downloadable,
Map Service,
Raster;
Tags: British Columbia,
Climate Extreme,
Data Visualization & Tools,
Dry Spell,
Evapotranspiration,
Here we archive data collected during a nitrogen addition field experiment in the Sacramento River Deep Water Ship Channel. Calcium nitrate was added on 8 dates to a segment of the ship channel centered at Navigation Light 74. Prior to and following the nutrient additions, we collected water samples and sensor-based measurements at 7 sites between Navigation Light 70 and 76. Water samples for nutrient analyses were collected in 500 mL High Density Poly Ethylene (HDPE) amber containers from 1 m and 8 m depths using a peristaltic pump. Whole water samples for phytoplankton analysis were collected from 1 m depth in 500 mL clear HDPE containers and immediately preserved with 20 mL of Lugol’s iodine solution (Lugol’s,...
Categories: Data;
Tags: Sacramento River,
Sacramento River Deep Water Ship Channel,
Sacramento–San Joaquin Delta,
Temperature,
West Sacramento,
Natural heat is used as a tracer for a variety of physical hydrogeological process, including zones of preferential exchange between groundwater and surface water. Several types of instruments are used to measure the temperature of surface water and saturated sediments. This data release presents the results of fiber-optic distributed temperature sensing (FO-DTS) using temperature sensitive armored cables deployed along the riverbed interface. Data were collected over time (08/06/2015 to 09/24/2015) at 1.01 m spatial resolution along a reach of the Little Wind River, WY, USA. This study reach included an upstream shallow side channel where the cable was exposed to air over several short segments, and a downstream...
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
NOTE: The data are available online four times based on four different attributes (the current, plus 2 degrees C, plus 4 degrees C, and plus 6 degrees C probability of occurrence), the dataset is the same and the download includes the layer files for all the attributes, you do NOT need to download the data more than once.This dataset is one of a suite of products from the Nature’s Network project (naturesnetwork.org). Nature’s Network is a collaborative effort to identify shared priorities for conservation in the Northeast, considering the value of fish and wildlife species and the natural areas they inhabit. Brook Trout probability of occurrence is intended to provide predictions of occupancy (probability of presence)...
This dataset is one part of a larger field dataset collected during March - May 2015 along the Sacramento River, near Colusa, CA. This particular dataset contains water-surface elevation and temperature data from 35 stationary pressure transducers spaced approximately every few kilometers along the Sacramento River upstream and downstream of Colusa, CA. The locations of the transducers were determined with RTK GPS with high precisions in both horizontal and vertical dimensions. The water-surface elevations were determined from the transducer pressure readings by using the nearest of six deployed barometric transducers, typically located within less than 10 kilometers.
Categories: Data;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: JPL,
NASA,
Sacramento River,
river,
temperature,
To evaluate the potential effects of climate change on wildlife habitat and ecological integrity in the northeastern United States from 2010 to 2080, a University of Massachusetts Amherst team derived a set of climate projections at a fine spatial resolution for the entire Northeast. The projections are based upon publicly available climate models.This dataset represents the mean of the minimum air temperature (degrees C) for December, January, and February using one of two IPCC greenhouse gas concentration scenarios (RCP8.5). The dataset is intended to represent typical winter temperatures for the years 2010-2080. MAP UNITS ARE TEMP. IN DEGREES C MULTIPLIED BY 100 (which allows for more efficient data storage).Detailed...
The North American Regional Climate Change Assessment Program (NARCCAP) is an international program to produce high resolution climate change simulations in order to investigate uncertainties in regional scale projections of future climate and generate climate change scenarios for use in impacts research. NARCCAP modelers are running a set of regional climate models (RCMs) driven by a set of atmosphere-ocean general circulation models (AOGCMs) over a domain covering the conterminous United States and most of Canada. The AOGCMs have been forced with the SRES A2 emissions scenario for the 21st century. Simulations with these models were also produced for the current (historical) period. The RCMs are nested within...
Using the simple anomaly method (modifying a historical baseline with differences or ratios projected by General Circulation Models), scientists from the California Academy of Sciences downscaled monthly average temperature and monthly total precipitation from 16 different global circulation models (GCMs). The GCMs were described in the latest Intergovernmental Panel for Climate Change (IPCC 2007) and archived at the WCRP PCMDI (http://www-pcmdi.llnl.gov/ipcc/about_ipcc.php). Monthly maximum temperature and monthly minimum temperatures were downscaled from the only 6 GCMs that archived these particular variables. Scientists used Worldclim v.1.4 (Hijmans et al 2005) at 5 arc-minute (~10km) spatial grain as the current...
Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
To meet the climate change planning and adaptation needs of Alaska managers and decision makers, I developed a set of statewide summaries of available climate change projections that can be further subset using GIS techniques for requests by management unit, watershed, or other location. This facilitates the development of tailored climate futures for decision makers’ regional or subregional management context. This file describes the source data and summaries for purposes of technical /scientific documentation. The methods and presentation for these datasets were adapted from products in previous USGS-approved IP products for the AKCASC Building Resilience Today project (e.g, Community of Kotlik et al. 2019)....
Cave-limited species display patchy and restricted distributions, but are challenging to study in-situ because of the difficulty of sampling. It is often unclear whether the observed distribution is a sampling artifact or a true restriction in range. Further, the drivers of the distribution could be local environmental conditions, such as cave humidity, or they could be associated with surface features that are surrogates for cave conditions. If surface features can be used to predict the distribution of important cave taxa, then conservation management goals can be more easily obtained. These GIS data represent the input and results of a spatial statistical model used to examine the hypothesis that the presence...
Water temperature estimates from multiple models were evaluated by comparing predictions to observed water temperatures. The performance metric of root-mean square error (in degrees C) is calculated for each lake and each model type, and matched values for predicted and observed temperatures are also included to support more specific error estimation methods (for example, calculating error in a particular month). Errors for the process-based model are compared to predictions as shared in Model Predictions data since these models were not calibrated. Errors for the process-guided deep learning models were calculated from validation folds and therefore differ from the comparisons to Model Predictions because those...
This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper Delaware River Basin. This section contains forcing data for water temperature forecasting models reported in Zwart et al. (2023), including a process-based pre-trainer, gridded weather and forecasted weather data, and flow and temperature for reservoir inlets and outlets.
|
|
