Datasets in Space iedadata

The goal of NLDAS is to construct quality-controlled, and spatially and temporally consistent, land-surface model (LSM) datasets from the best available observations and model output to support modeling activities. Specifically, this system is intended to reduce the errors in the stores of soil moisture and energy which are often present in numerical weather prediction models, and which degrade the accuracy of forecasts. NLDAS is currently running in near real-time on a 1/8th-degree grid over central North America; retrospective NLDAS datasets and simulations also extend back to January 1979. NLDAS constructs a forcing dataset from gauge-based observed precipitation data (temporally disaggregated using Stage II radar data), bias-correcting shortwave radiation, and surface meteorology reanalyses to drive several different LSMs to produce model outputs of surface fluxes, soil moisture, and snow cover. NLDAS is a collaboration project among several groups: NOAA/NCEP's Environmental Modeling Center (EMC), NASA's Goddard Space Flight Center (GSFC), Princeton University, the University of Washington, the NOAA/NWS Office of Hydrological Development (OHD), and the NOAA/NCEP Climate Prediction Center (CPC). NLDAS is a core project with support from NOAA's Climate Prediction Program for the Americas (CPPA). Data from the project can be accessed from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) as well as from the NCEP/EMC NLDAS website. This service provides access to NASA's North American Land Data Assimilation System (NLDAS) hourly Mosaic land surface model data. http://datadiscoverystudio.org/geoportal/rest/metadata/item/f1cdc0c5595f4bb5886a3d511388f23f/html

Global Navigation Satellite System (GNSS) Station unr/gnss/LEHG/8066/L2/24:00:00 Name: LEHG Processing Level: L2 measurement_technique: gnss variable_measured: position creator:Kyle, Philip data_start_time:2003-01-05T00:00:00 data_stop_time:2012-02-10T00:00:00 GPS/GNSS instrumentation records broadcast signals from the GPS and other satellite constellation, and these raw data are converted into standard daily RINEX files suitable for processing. GPS/GNSS data are recorded at 15-s or 30-s intervals. Several hundred stations of the PBO network also supply downloaded or streamed 1-s data for archiving and distribution. In addition highrate data of 1 Hz or 5 Hz may be Custom Data Requested in association with an event such as a significant earthquake. For data of all rates UNAVCO translates to RINEX and quality checks the data using teqc. GAGE Analysis Centers process data for all 1100 sites in the PBO GPS/GNSS network and for other sites, including most of the sites in COCONet in the Caribbean region and an additional 500 sites distributed across North America, most of which are operated by other institutions. The final, processed products are SINEX solutions, position ti Web Service Link ['The hydrologic models are surface-loading displacement time series calculated at GAGE-processed sites from hydrological data. Soil moisture, snow-water equivalent from snowpack, and water stored in vegetation exert a load on the Earth's surface that is modeled to obtain displacements at GPS/GNSS sites. Outputs GPS crustal motion velocity field estimates. '] Web Service Link [ 'Results from daily GPS station position solutions are combined to generate long-term velocity estimate solutions of stations in IGS08 and NAM08 (North America fixed) reference frames. Station offsets due to earthquakes and equipment changes are estimated and low-quality outliers due to snow, for example, are removed from the velocity estimate solutions '] http://datadiscoverystudio.org/geoportal/rest/metadata/item/695eda020f3b4f0fb42de5bf44159f41/html

WATER TEMPERATURE and other data from USNS KANE from 1968-04-13 to 1968-04-16 (NODC Accession 7201303)Accession Number http://datadiscoverystudio.org/geoportal/rest/metadata/item/378bbb7f442f4b27b7f75e2efa2b45b9/html

Launched jointly in 1997 by the National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA), the Tropical Rainfall Measuring Mission (TRMM) is a satellite mission that placed a unique suite of instruments, including the first precipitation radar, in space. These instruments are used to monitor and predict tropical cyclone tracks and intensity, estimate rainfall, and monitor climate variability (precipitation and sea surface temperature). TRMM has been collecting data for seven years; this data is used by the Joint Typhoon Warning Center, the National Center for Environmental Prediction, and the National Hurricane Center, among others worldwide. The purpose of the 3B42 algorithm is to produce TRMM-adjusted merged-infrared (IR) precipitation and root-mean-square (RMS) precipitation-error estimates. The algorithm consists of two separate steps. The first step uses the TRMM VIRS and TMI orbit data (TRMM products 1B01 and 2A12) and the monthly TMI/TRMM Combined Instrument (TCI) calibration parameters (from TRMM product 3B31) to produce monthly IR calibration parameters. The second step uses these derived monthly IR calibration parameters to adjust the merged-IR precipitation data, which consists of GMS, GOES-E, GOES-W, Meteosat-7, Meteosat-5, and NOAA-12 data. The final gridded, adjusted merged-IR precipitation (mm/hr) and RMS precipitation-error estimates have a daily temporal resolution and a 0.25-degree by 0.25-degree spatial resolution. Spatial coverage extends from 50 degrees south to 50 degrees north latitude. naltrexone dosage for alcoholism http://naltrexonealcoholismmedication.com/ ldn for anxiety http://datadiscoverystudio.org/geoportal/rest/metadata/item/5f5e0a31e70d4f5e8a5df8ee43e58c4e/html

The precipitation data are quality-controlled, multi-sensor (radar, satellite, and rain gauge) precipitation estimates from National Weather Service (NWS) West Gulf River Forecast Center (WGRFC). The original data are in XMRG format and projected in the Hydrologic Rainfall Analysis Project (HRAP) grid coordinate system, a polar stereographic projection true at 60 N / 105 W. The data represent the 1-hour precipitation estimates for each HRAP grid cell located within the WGRFC boundaries. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3356daed13b1494d983242aaee625e45/html

Butler, R.F., Harms, T.A. and Gabrielse, H. (1988). Cretaceous remagnetization in the Sylvester Allochton: limits to post-105 Ma northward displacement of north-central British Columbia. Canadian Journal of Earth Sciences 25: 1,316-1,322. Type: [ Outcrop ] Class: [ Sedimentary ] Lithology: [ Limestone ] Ages: [ 100 to 271 Ma N 2 ] from Earthref Magic http://datadiscoverystudio.org/geoportal/rest/metadata/item/07b481e3be8c461d8f7912be17cf9a60/html

Global Navigation Satellite System (GNSS) Station unavco/gnss/IGS/OSN3/7718/L0/00:00:30 Name: South Korea NGA colocated Processing Level: L0 measurement_technique: gnss variable_measured: position creator:UNAVCO data_start_time:2015-11-29T07:00:30 data_stop_time:2018-03-22T05:58:00 GPS/GNSS instrumentation records broadcast signals from the GPS and other satellite constellation, and these raw data are converted into standard daily RINEX files suitable for processing. GPS/GNSS data are recorded at 15-s or 30-s intervals. Several hundred stations of the PBO network also supply downloaded or streamed 1-s data for archiving and distribution. In addition highrate data of 1 Hz or 5 Hz may be Custom Data Requested in association with an event such as a significant earthquake. For data of all rates UNAVCO translates to RINEX and quality checks the data using teqc. GAGE Analysis Centers process data for all 1100 sites in the PBO GPS/GNSS network and for other sites, including most of the sites in COCONet in the Caribbean region and an additional 500 sites distributed across North America, most of which are operated by other institutions. The final, processed products are SINEX solutions, position ti Web Service Link ['The hydrologic models are surface-loading displacement time series calculated at GAGE-processed sites from hydrological data. Soil moisture, snow-water equivalent from snowpack, and water stored in vegetation exert a load on the Earth's surface that is modeled to obtain displacements at GPS/GNSS sites. Outputs GPS crustal motion velocity field estimates. '] Web Service Link [ 'Results from daily GPS station position solutions are combined to generate long-term velocity estimate solutions of stations in IGS08 and NAM08 (North America fixed) reference frames. Station offsets due to earthquakes and equipment changes are estimated and low-quality outliers due to snow, for example, are removed from the velocity estimate solutions '] http://datadiscoverystudio.org/geoportal/rest/metadata/item/e5fd2e489f824f77bd46eda308c1e5fb/html

The goal of NLDAS is to construct quality-controlled, and spatially and temporally consistent, land-surface model (LSM) datasets from the best available observations and model output to support modeling activities. Specifically, this system is intended to reduce the errors in the stores of soil moisture and energy which are often present in numerical weather prediction models, and which degrade the accuracy of forecasts. NLDAS is currently running in near real-time on a 1/8th-degree grid over central North America; retrospective NLDAS datasets and simulations also extend back to January 1979. NLDAS constructs a forcing dataset from gauge-based observed precipitation data (temporally disaggregated using Stage II radar data), bias-correcting shortwave radiation, and surface meteorology reanalyses to drive several different LSMs to produce model outputs of surface fluxes, soil moisture, and snow cover. NLDAS is a collaboration project among several groups: NOAA/NCEP's Environmental Modeling Center (EMC), NASA's Goddard Space Flight Center (GSFC), Princeton University, the University of Washington, the NOAA/NWS Office of Hydrological Development (OHD), and the NOAA/NCEP Climate Prediction Center (CPC). NLDAS is a core project with support from NOAA's Climate Prediction Program for the Americas (CPPA). Data from the project can be accessed from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) as well as from the NCEP/EMC NLDAS website. This service provides access to NASA's North American Land Data Assimilation System (NLDAS) hourly Mosaic land surface model data. http://datadiscoverystudio.org/geoportal/rest/metadata/item/b604596940674db2866a55bc4176fd8b/html

The goal of NLDAS is to construct quality-controlled, and spatially and temporally consistent, land-surface model (LSM) datasets from the best available observations and model output to support modeling activities. Specifically, this system is intended to reduce the errors in the stores of soil moisture and energy which are often present in numerical weather prediction models, and which degrade the accuracy of forecasts. NLDAS is currently running in near real-time on a 1/8th-degree grid over central North America; retrospective NLDAS datasets and simulations also extend back to January 1979. NLDAS constructs a forcing dataset from gauge-based observed precipitation data (temporally disaggregated using Stage II radar data), bias-correcting shortwave radiation, and surface meteorology reanalyses to drive several different LSMs to produce model outputs of surface fluxes, soil moisture, and snow cover. NLDAS is a collaboration project among several groups: NOAA/NCEP's Environmental Modeling Center (EMC), NASA's Goddard Space Flight Center (GSFC), Princeton University, the University of Washington, the NOAA/NWS Office of Hydrological Development (OHD), and the NOAA/NCEP Climate Prediction Center (CPC). NLDAS is a core project with support from NOAA's Climate Prediction Program for the Americas (CPPA). Data from the project can be accessed from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) as well as from the NCEP/EMC NLDAS website. This service provides access to NASA's North American Land Data Assimilation System (NLDAS) hourly Mosaic land surface model data. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8ba26ce88b404c418da35b67958d5010/html

USGS high resolution orthorectified images from The National Map combine the image characteristics of an aerial photograph with the geometric qualities of a map. An orthoimage is a uniform-scale image where corrections have been made for feature displacement such as building tilt and for scale variations caused by terrain relief, sensor geometry, and camera tilt. A mathematical equation based on ground control points, sensor calibration information, and a digital elevation model is applied to each pixel to rectify the image to obtain the geometric qualities of a map. A digital orthoimage may be created from several photographs mosaicked to form the final image. The source imagery may be black-and-white, natural color, color infrared, or color near infrared (4-band) with a pixel resolution of 1-meter or finer. With orthoimagery, the resolution refers to the distance on the ground represented by each pixel. There is no image overlap between adjacent files. Data received at EROS were reprojected from source projection to a standard utm projection and resolution resampled to align to the U.S. National Grid (USNG) using The National Map. The naming convention is based on the USNG, taking the coordinates of the SW corner of the orthoimage. The metadata were imported and updated for display through The National Map at http://nationalmap.gov/viewer.html Image-level metadata are provided in XML format. Data were compressed utilizing IAS software. The compression was JPEG2000 Lossy Compressed. The file format created was .jp2. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d1d53e272e9641ed88a8adf621f254cb/html

The precipitation data are quality-controlled, multi-sensor (radar, satellite, and rain gauge) precipitation estimates from National Weather Service (NWS) Lower Missisippi River Forecast Center. The original data are in XMRG format and projected in the Hydrologic Rainfall Analysis Project (HRAP) grid coordinate system, a polar stereographic projection true at 60 N / 105 W. The data represent the 24-hour precipitation estimates for each HRAP grid cell. http://datadiscoverystudio.org/geoportal/rest/metadata/item/8ff5503cf07c43b8b7c3aa4c2e4a2d41/html

The goal of NLDAS is to construct quality-controlled, and spatially and temporally consistent, land-surface model (LSM) datasets from the best available observations and model output to support modeling activities. Specifically, this system is intended to reduce the errors in the stores of soil moisture and energy which are often present in numerical weather prediction models, and which degrade the accuracy of forecasts. NLDAS is currently running in near real-time on a 1/8th-degree grid over central North America; retrospective NLDAS datasets and simulations also extend back to January 1979. NLDAS constructs a forcing dataset from gauge-based observed precipitation data (temporally disaggregated using Stage II radar data), bias-correcting shortwave radiation, and surface meteorology reanalyses to drive several different LSMs to produce model outputs of surface fluxes, soil moisture, and snow cover. NLDAS is a collaboration project among several groups: NOAA/NCEP's Environmental Modeling Center (EMC), NASA's Goddard Space Flight Center (GSFC), Princeton University, the University of Washington, the NOAA/NWS Office of Hydrological Development (OHD), and the NOAA/NCEP Climate Prediction Center (CPC). NLDAS is a core project with support from NOAA's Climate Prediction Program for the Americas (CPPA). Data from the project can be accessed from the NASA Goddard Earth Science Data and Information Services Center (GES DISC) as well as from the NCEP/EMC NLDAS website. This service provides access to NASA's North American Land Data Assimilation System (NLDAS) hourly Mosaic land surface model data. http://datadiscoverystudio.org/geoportal/rest/metadata/item/cb107a11b6a5451688c01b780df01f20/html