The annual GOES-R Geostationary Lightning Mapper (GLM) Science Team Meeting was held June 21, 2014, following the International Association of Meteorology and Atmospheric Sciences Conference on Atmospheric Electricity (ICAE), at the National Weather Center in Norman, Oklahoma. The meeting was held to inform the international community of the program status, calibration and validation plans, and user readiness activities for GLM. More than 60 scientists from 20 countries attended, including NOAA, InPE (Brazil), JMA (Japan), CMA (China), and EUMETSAT (Europe). https://web.archive.org/web/*/http://www.goes-r.gov/users/2014-GLM.html
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Simony Hütte (47°30'3.02" N, 13°37'27.26" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Simony Hütte (47°30'3.02" N, 13°37'27.26" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Simony Hütte (47°30'3.02" N, 13°37'27.26" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Simony Hütte (47°30'3.02" N, 13°37'27.26" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Simony Hütte (47°30'3.02" N, 13°37'27.26" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hintereisferner (46°47'55.21" N, 10°45'37.51" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten der automatischen Wetterstation (AWS) Hochebenkar (46°50'17.88" N, 11°0'23.04" E).
Hydrologic data, primarily precipitation and runoff, have been collected on experimental watersheds operated by the U.S. Department of Agriculture Agricultural Research Service (USDA-ARS) and on other lands in southeastern Arizona since the 1950s. These data are of national and international importance and make up one of the most comprehensive semiarid watershed data sets in the world. The USDA-ARS Southwest Watershed Research Center has recently developed an electronic data processing system that includes an online interface (https://tucson.ars.ag.gov/dap) to provide public access to the data. The goal of the system is to promote analyses and interpretations of historic and current data by improving data access. The publicly accessible part of the system consists of an interactive Web site, which provides an interface to the data, and a relational database, which is used to process, store, and manage data. In addition, DAP was expanded to put sediment, meteorological, soil moisture and temperature, vegetation, CO2 and water flux, geographic information system (GIS) and aircraft and satellite spectral imagery data on line and to publish metadata for all WGEW long-term measurements.
Hydrologic data, primarily precipitation and runoff, have been collected on experimental watersheds operated by the U.S. Department of Agriculture Agricultural Research Service (USDA-ARS) and on other lands in southeastern Arizona since the 1950s. These data are of national and international importance and make up one of the most comprehensive semiarid watershed data sets in the world. The USDA-ARS Southwest Watershed Research Center has recently developed an electronic data processing system that includes an online interface (https://tucson.ars.ag.gov/dap) to provide public access to the data. The goal of the system is to promote analyses and interpretations of historic and current data by improving data access. The publicly accessible part of the system consists of an interactive Web site, which provides an interface to the data, and a relational database, which is used to process, store, and manage data. In addition, DAP was expanded to put sediment, meteorological, soil moisture and temperature, vegetation, CO2 and water flux, geographic information system (GIS) and aircraft and satellite spectral imagery data on line and to publish metadata for all WGEW long-term measurements.
Hand-in-Hand has brought together over 20 FAO units across multiple domains, from Animal Health to Trade and Markets, integrating data from across FAO on Soil, Land, Water, Climate, Fisheries, Livestock, Crops, Forestry, Trade, Social and Economics, etc.Data has also been sourced from FAO partners and public data providers across the UN and NGOs, private sector and space agencies.
These hourly measurements of atmospheric and oceanic data were captured from the index of NOAA-GLERL. They include data from the Real-Time Meteorological Observation Network (RTMON) and NOAA's webcams. https://web.archive.org/web/*/https://www.glerl.noaa.gov//metdata/status/status_archive/
2015 GOES-R/JPSS PROVING GROUND ALL HANDS TELECONFERENCE Meeting Updates and presentation Internet Archive URL: https://web.archive.org/web/*/http://www.goes-r.gov/users/2015-07-13-PG-AH.html
This data package contains locally verified daily meteorological observations from a NOAA National Weather Service station located at the USDA Jornada Experimental Range headquarters in southern New Mexico, USA. Daily data has been collected there by USDA staff since 1914 for minimum and maximum air temperature and daily accumulated precipitation using standard U.S. climatological service instrumentation and procedures. The included data were verified and transcribed directly from the original paper data sheets and have undergone quality control and assurance procedures different than those in place at NOAA. These data therefore differ from those directly downloadable from NOAA servers. Local verification and transcription of observations from the data sheets ceased in 2006 and data are now directly entered to the NOAA system. Therefore, this dataset is complete and will no longer be added to.All observations from this weather station have also undergone NOAA QA/QC procedures and those data are available by accessing the Jornada Experimental Range, NM US GHCN station through the National Climatic Data Center portal (https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/stations/GHCND:USC00294... - daily and monthly data are available).
This data package contains locally verified monthly total pan evaporation data from a NOAA National Weather Service station located at the USDA Jornada Experimental Range headquarters in southern New Mexico, USA. The evaporation pan measurements commenced in 1953 and ended in 1979 when the instrument was decommissioned. Pan evaporation observations were made using standard U.S. climatological service instrumentation and procedures. The included data were verified and transcribed directly from records retrieved from NOAA in ~1995 and have since undergone quality control and assurance procedures different than those in place at NOAA. These data therefore differ from those directly downloadable from NOAA servers. There is no further data from this decommissioned instrument, so this dataset is now complete and data will no longer be updated here.All observations from this weather station have also undergone NOAA QA/QC procedures and those data are available by accessing the Jornada Experimental Range, NM US GHCN station through the National Climatic Data Center portal (https://www.ncdc.noaa.gov/cdo-web/datasets/GSOM/stations/GHCND:USC002944... - monthly pan evaporation data are available back to 1930, but there may be data issues prior to 1953).
This data package contains locally verified monthly meteorological observations from a NOAA National Weather Service station located at the USDA Jornada Experimental Range headquarters in southern New Mexico, USA. Monthly summary data (based on daily observations) has been collected there by USDA staff since 1914 for minimum and maximum air temperature and daily accumulated precipitation using standard U.S. climatological service instrumentation and procedures. The included data were verified and transcribed directly from the original paper data sheets and have undergone quality control and assurance procedures different than those in place at NOAA. These data therefore differ from those directly downloadable from NOAA servers. Local verification and transcription of observations from the data sheets ceased in 1998 and data are now directly entered to the NOAA system. Therefore, this dataset is complete and will no longer be added to.All observations from this weather station have also undergone NOAA QA/QC procedures and those data are available by accessing the Jornada Experimental Range, NM US GHCN station through the National Climatic Data Center portal https://www.ncdc.noaa.gov/cdo-web/datasets/GSOM/stations/GHCND:USC002944... - daily and monthly data are available).
Mean average *offshore* wind speeds in metres per second (m/s) at 50m above sea level. The wind speed data, modelled in 2003, covers the Irish Internal Waters and the Irish Territorial Sea up to 12 nautical miles from the baseline. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).
Mean average *offshore* wind speeds in metres per second (m/s) at 75m above sea level. The wind speed data, modelled in 2003, covers the Irish Internal Waters and the Irish Territorial Sea up to 12 nautical miles from the baseline. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten von Hydrologie und Meteorologie der Messstelle Vernagtbach. Die Messstelle wird von der Kommission für Erdmessung und Glaziologie der Bayerischen Akademie der Wissenschaften in München betrieben.
Die Links in diesem Abschnitt führen zu den auf www.pangaea.de veröffentlichten Daten von Hydrologie und Meteorologie der Messstelle Vernagtbach. Die Messstelle wird von der Kommission für Erdmessung und Glaziologie der Bayerischen Akademie der Wissenschaften in München betrieben.
This ongoing dataset contains monthly precipitation measurements from a network of standard can rain gauges at the Jornada Experimental Range in Dona Ana County, New Mexico, USA. Precipitation physically collects within gauges during the month and is manually measured with a graduated cylinder at the end of each month. This network is maintained by USDA Agricultural Research Service personnel. This dataset includes 39 different locations but only 29 of them are current. Other precipitation data exist for this area, including event-based tipping bucket data with timestamps, but do not go as far back in time as this dataset.
The National Solar Radiation Database (NSRDB) is a serially complete collection of meteorological and solar irradiance data sets for the United States and a growing list of international locations for 1998-2017. The NSRDB provides foundational information to support U.S. Department of Energy programs, research, and the general public. The NSRDB provides time-series data at 30 minute resolution of resource averaged over surface cells of 0.038 degrees in both latitude and longitude, or nominally 4 km in size. The solar radiation values represent the resource available to solar energy systems. The data was created using cloud properties which are generated using the AVHRR Pathfinder Atmospheres-Extended (PATMOS-x) algorithms developed by the University of Wisconsin. Fast all-sky radiation model for solar applications (FARMS) in conjunction with the cloud properties, and aerosol optical depth (AOD) and precipitable water vapor (PWV) from ancillary source are used to estimate solar irradiance (GHI, DNI, and DHI). The Global Horizontal Irradiance (GHI) is computed for clear skies using the REST2 model. For cloud scenes identified by the cloud mask, FARMS is used to compute GHI. The Direct Normal Irradiance (DNI) for cloud scenes is then computed using NREL's DISC model (uses empirical relationships between the global and direct clearness indices to estimate the direct beam component of irradiance). The PATMOS-X model uses half-hourly radiance images in visible and infrared channels from the Geostationary Operational Environmental Satellite (GOES) series of geostationary weather satellites. Ancillary variables needed to run REST2 and FARMS (e.g., aerosol optical depth, precipitable water vapor, and albedo) are derived from NASA's Modern Era-Retrospective Analysis (MERRA-2) dataset. Temperature and wind speed data are also derived from MERRA-2 and provided for use in NREL's System Advisor Model (SAM) to compute PV generation.
Department of Communications, Climate Action & Environment commissioned Offshore Renewable Energy Development Plan Strategic Environmental Assessment boundary of full assessment area for tidal, wave and wind assessments and definition of zones into specific strategic renewable sectors.
Department of Communications, Climate Action & Environment commissioned Offshore Renewable Energy Development Plan Strategic Environmental Assessment boundary of full assessment area for tidal, wave and wind assessments
The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Organic Carbon and Organic Matter Soils Data Set is one of the various sub-surface data sets developed for the GCIP (Global Energy and Water Cycle Experiment [GEWEX] Continental-scale International Project) Enhanced Observation Period (EOP) Data Set. This data set contains a summary table of the measured organic carbon percentage and the estimated organic matter percentage in the near surface soil at each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site. The soil characterizations were performed by Oklahoma State University.
The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Parameters for Soil Water Retention Models Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains one table for each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site containing the fitted values of the parameters in the van Genuchten and Brooks-Corey equations for relating soil water pressure to volumetric water content. The soil characterizations were perfomed by Oklahoma State University.
The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Soil Bulk Density Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains a summary table of the bulk densities representing the average of the values obtained from the soil water retention samples at each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site. The soil characterizations were perfomed by Oklahoma State University.
The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Soil Particle Size Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment ?GEWEX? Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains tables of the laboratory data for each soil layer at each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site. The soil characterizations were perfomed by Oklahoma State University.
The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Soil Texture Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains a summary table of the percentages of sand, silt, and clay fractions in each soil layer at each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site. Also included is the corresponding USDA texture class as determined from the "soil triangle". The soil characterizations were perfomed by Oklahoma State University.
The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Soil Water Retention Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains a table for each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site containing the observed soil water retention data as obtained from laboratory tests using pressure plates and hanging columns. The soil characterizations were perfomed by Oklahoma State University.
The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The GEWEX Continental-Scale International Project (GCIP) Near-Surface Observation Data Set (NESOB) 1997 ARM 5 Minute Surface Composite is composed of data from the Department Of Energy (DOE) Atmospheric Radiation Measurement Surface (ARMSFC) Network within the NESOB 1997 domain. This Surface Composite contains data for the NESOB 1997 time period (01 April 1997 through 31 March 1998) and for the NESOB 1997 area which is approximately 34N to 39N latitude and 94.5W to 100.5W longitude. The DOE ARM Surface (ARMSFC) 5-minute values were derived from ARMSFC 1-minute data. The ARMSFC instrument readouts were every second for all variables except 1 minute for barometric pressure. The detailed descriptions of the algorithms used to produce ARMSFC one minute data are not currently available. When not present in the raw data, the dewpoint is computed using the formula from Bolton (1980). Calculated Sea Level pressure is computed from station pressure, temperature, dewpoint, and station elevation using the formula of Wallace and Hobbs (1977). Specific Humidity values were computed from dew point and station pressure using formulas from Wexler and Wildhack (1963). The NESOB 1997 ARM 5-Minute Surface Composite contains ten metadata parameters and 41 data parameters and flags. The metadata parameters describe the station location and time at which the data were collected. The time of observation is reported both in Universal Time Coordinated (UTC) Nominal and UTC actual time. Days begin at UTC hour 0000 and end at UTC hour 2355. The data parameters are valid for the reported times. Missing values are reported as 9's in the data field.
Seascape effects of wind turbines up to 15km from shoreline are downloadable as GIS shapefiles. SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below).A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All SEA volumes are accessible by using the search bar in SEAI's website (http://www.seai.ie).The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf
This file is the animated GIF of the Tropical Cyclone 02S that formed off the coast of Australia December 19, 2016 as observed by GPM.