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The text file "Wind speed.txt" contains hourly data and associated data-source flag from January 1, 1948, to September 30, 2016. The primary source of the data is the Argonne National Laboratory, Illinois (ANL). The data-source flag consist of a three-digit sequence in the form "xyz" that describe the origin and transformations of the data values. They indicate if the data are original or missing, the method that was used to fill the missing periods, and any other transformations of the data. Missing and apparently erroneous data values were replaced with adjusted values from nearby stations used as “backup”. As stated in Over and others (2010), temporal variations in the statistical properties of the data resulting...
Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2017
This data release is the update of the U.S. Geological Survey - ScienceBase data release by Bera and Over (2017), with the processed data through September 30, 2017. The primary data for each year is downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2017) and is processed following the guidelines documented in Over and others (2010). Daily potential evapotranspiration (PET) in thousandths of an inch is computed from average daily air temperature in degrees Fahrenheit (°F), average daily dewpoint temperature in degrees Fahrenheit (°F), daily total wind movement in miles (mi), and daily total solar radiation in Langleys per day (Lg/d) and disaggregated to hourly PET in thousandths...
The text file "Wind speed.txt" contains hourly wind speed data in miles per hour and associated data source flags from January 1, 1948, to September 30, 2019. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2019) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN18.WDM (Bera, 2019) and renamed as ARGN19.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. The hourly wind speed...
Measurements of fog, wind, fog interception, soil moisture, and fog effects on plant water use and plant survival were collected to test a model to estimate CWI as a function of fog-water movement and vegetation characteristics.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Canopy Water Balance,
Climate Model,
Climate Variables,
Hawaii,
Soil Data,
In the summer of 2014 at Pawtuckaway Beach at Pawtuckaway State Park in Nottingham New Hampshire, the U.S. Geological Survey (USGS) established a seasonal meteorological station (430508071091801) on the beach and a seasonal water-quality station (01073389) in Pawtuckaway Lake proximal to the swimming area. Data recorded at 15-minute intervals by the meteorological station were wind speed, wind direction, precipitation, barometric pressure, and relative humidity. Data recorded at 15-minute intervals by the water-quality station were air and water temperature, specific conductance, dissolved oxygen (DO), pH, and stage (water level), which characterized water conditions at the swimming area. In 2015 the USGS also established...
Categories: Data;
Tags: Escherichia coli,
Limnology,
New Hampshire,
Nottingham,
Pawtuckaway State Park,
These data were compiled from six automated weather stations that together provide several points in the meteorological record across a latitudinal and elevational gradient in southeastern Utah. Recorded data from these weather stations are associated with several different studies. Meteorological data are important for quantifying short term weather events as well as longer term climate trends. Spatially separated precipitation gauges allow for better characterization of the heterogeneity of precipitation events. These data were collected from six locations running from north to south in southeast Utah. All of the weather stations use Campbell Scientific data loggers and data are collected daily via telecommunications...
Categories: Data;
Tags: Canyonlands National Park,
Castle Valley,
Kerby Lane,
La Sal Mountains,
Moab,
Meteorological data, including wind speed, wind direction, air temperature, relative humidity, and air pressure, were collected by the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center at a site located in Grizzly Bay, California. A Vaisala WXT530 meteorological station was mounted atop of a dolphin-type mooring structure, from January to June 2020. The data were truncated based on deployment and recovery times of hydrodynamic time-series data, spurious data points from the wind sensor were removed, and the file was written to netCDF. Spurious points were identified based on a recorded wind speed of 0. These points were set to NaN (Not a Number). Users are advised to assess data quality carefully,...
In order to study the likely effects of global warming on future ecosystems, a method for applying a heating treatment to open-field plant canopies (i.e. a temperature free-air controlled enhancement (T-FACE) system) is needed which will warm vegetation as expected by the future climate. One method which shows promise is infrared heating, but a theory of operation is needed for predicting the performance of infrared heaters. Therefore, a theoretical equation was derived to predict the thermal radiation power required to warm a plant canopy per degree rise in temperature per unit of heated land area. Another equation was derived to predict the thermal radiation efficiency of an incoloy rod infrared heater as a function...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Global Change Biology,
canopy temperature,
ecosystems,
energy balance,
evapotranspiration,
ARGN15.WDM contains nine data series: air temperature in degrees Fahrenheit (dsn 400), dewpoint temperature in degrees Fahrenheit (dsn 500), wind speed in miles per hour (dsn 300), solar radiation in Langleys (dsn 600), computed potential evapotranspiration in thousandths of an inch (dsn 200), and four data-source flag series for air temperature (dsn 410), dewpoint temperature (dsn 510), wind speed (dsn 310) and solar radiation (dsn 610) respectively from January 1,1948, to September 30, 2015. The primary source of the data is the Argonne National Laboratory, Illinois. To open this file user needs to install any of the utilities described in the section "The Related External Resources" in this page.
The text file "Wind speed.txt" contains hourly wind speed data in miles per hour and associated data source flags from January 1, 1948, to September 30, 2018. The primary data for water year 2018 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2018) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN17.WDM (Bera and Over, 2018) and renamed as ARGN18.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. The hourly...
The text file "Wind speed.txt" contains hourly wind speed data in miles per hour and associated data source flags from January 1, 1948, to September 30, 2021. The primary data for water year 2021 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2022) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN20.WDM (Bera, 2021) and renamed as ARGN21.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup.” The hourly wind speed...
This data release is the update of the U.S. Geological Survey - ScienceBase data release Bera (2021b), with the processed data for the period October 1, 2019, through September 30, 2020. This data release describes the watershed data management (WDM) database SC20.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2019, through September 30, 2020, are processed following the guidelines described in Bera (2014) and Murphy and Ishii (2006) and appended to SC19.WDM and renamed as SC20.WDM....
The text file "Wind speed.txt" contains hourly data and associated data-source flag from January 1, 1948, to September 30, 2015. The primary source of the data is the Argonne National Laboratory, Illinois. The data-source flag consist of a three-digit sequence in the form "xyz" that describe the origin and transformations of the data values. They indicate if the data are original or missing, the method that was used to fill the missing periods, and any other transformations of the data. The user of the data should consult Over and others (2010) for the detailed documentation of this hourly data-source flag series. Reference Cited: Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a...
NOTICE: Given the large size of the MACAv2METDATA dataset, and a known issue with the data server being used to host it, initial load times may take a very long time and / or time out. Subsequent requests should be faster due to caching, but the cache clears periodically and the dataset must be rescanned prior to access. We are working on a fix for this issue. In the mean time, please use the dataset with care and make sureyou've reviewed the GDP scalability guidelines. https://my.usgs.gov/confluence/display/GeoDataPortal/Geo+Data+Portal+Scalability+Guidelines This archive contains daily downscaled meteorological and hydrological projections for the Conterminous United States at 1/24-deg resolution utilizing the...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
NetCDF OPeNDAP Service,
Raster;
Tags: CMIP5,
MACA,
air_temperature,
climatologyMeteorologyAtmosphere,
dataset,
This dataset provides an estimate of annual wind resources for the Northeast. It was developed by the National Renewable Energy Laboratory of the U.S. Department of Energy. The wind power classes are described in the attached table. Areas designated class 3 or greater are suitable for most utility-scale wind turbine applications, whereas class 2 areas are marginal for utility-scale applications but may be suitable for rural applications. Class 1 areas are generally not suitable, although a few locations (e.g. exposed hilltops not shown on the maps) with adequate wind resource for wind turbine applications may exist in some class 1 areas. The degree of certainty with which the wind power class can be specified depends...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
Map Service;
Tags: NREL,
wind,
wind speed
The Climate Impacts Group has analyzed the climate response for the Pacific Northwest simulated by several climate models. These simulations were prepared by climate modeling centers worldwide for the Fourth IPCC Assessement. For consistency with prior work, we include the current versions of models used previously: Hadcm3, Echam5, CCSM3, and PCM1 (CCSM3 is the successor to both the NCAR CSM and DOE PCM). To these we added five additional models to better represent the range of models participating in AR4. These are: CNRM_CM3, CSIRO_MK3 Miroc_3.2, IPSL_CM4, CGCM_3.1, and GISS_ER. Summary statistics for these models are provided in the link at the right. From these, we have selected ECHAM5 SRES A2 simulation as...
The Regional Climate Downloader (RCD) is a web application that can be used to visualize and download climate data. The RCD uses the Web Mapping Service (WMS) that is built into the Thredds Data Server , (see Disclaimer and Terms of Use ) that allows users to map and download monthly average data for over 60 surface variables generated by the Dynamical Downscaling project. The time coverage of these simulations ranges from 1968 to 2100, depending on the region of simulation and the driving GCM. Decadal, monthly and daily data are available for the Dynamical Downscaling project. Other datasets such as CIG are also available from within RCD. Data are available in NetCDF format.
These data are records collected from an automated weather station and four stand-alone tipping bucket rain gauges each with their own data logger that were in operation between February 2005 and December 2019 in the Badger Wash Study Area near Mack, Colorado as part of a larger project funded by the Bureau of Land Management. These files are hourly-interval data from the automated weather station with meteorological parameters of air temperature, relative humidity, wind speed, wind direction, wind gusts, photon flux density and rainfall as well as from a soil pit with temperature and soil moisture measurements at 5, 10, 20, 40, 60, 80 and 100 cm deep. The standalone tipping-bucket rain gauge data which records...
Categories: Data;
Tags: Badger Wash,
Badger Wash Met Station,
Badger Wash Study Area,
Bureau of Land Management,
Colorado,
Watershed Data Management (WDM) database file ARGN20.WDM is an update of ARGN19.WDM (Bera, 2020) with the processed data from October 1, 2019 through September 30, 2020, appended to it. The primary data were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2020) and processed following the guidelines documented in Over and others (2010). ARGN20.WDM file contains nine data series: air temperature, in degrees Fahrenheit (dsn 400), dewpoint temperature, in degrees Fahrenheit (dsn 500), wind speed, in miles per hour (dsn 300), solar radiation, in Langleys (dsn 600), computed potential evapotranspiration, in thousandths of an inch (dsn 200), and four data-source flag series for air...
This data release is the update of the U.S. Geological Survey - ScienceBase data release Bera (2022b), with the processed data for the period October 1, 2020, through September 30, 2021. This data release describes the watershed data management (WDM) database SC21.WDM. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2020, through September 30, 2021, are processed following the guidelines described in Bera (2014) and Murphy and Ishii (2006) and appended to SC20.WDM and renamed as SC21.WDM....
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