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Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the Goat Draw Meteorological Station (GTDR), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.

The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the Goat Draw Meteorological Station (GTDR). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmetgtdr/. These data complement and extend meteorological data recorded by an adjacent station (Met48), accessible at: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sev&identifier=1.

Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the Rio Salado Meteorological Station (RIOS), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.

The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the Rio Salado Meteorological Station (RIOS). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmetrios/. These data complement and extend meteorological data recorded by an adjacent station (Met44), accessible at: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sev&identifier=1.

Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the Sepultura Meteorological Station (SEPU), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.

The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the Sepultura Meteorological Station (SEPU). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmetsepu/.

Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the South Gate Meteorological Station (SOGT), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.

The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the South Gate Meteorological Station (SOGT). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmetsogt/. These data complement and extend meteorological data recorded by an adjacent station (Met41), accessible at: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sev&identifier=1.

Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the Test Well Meteorological Station (TSWL), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.

The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the Test Well Meteorological Station (TSWL). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmettswl/. These data complement and extend meteorological data recorded by an adjacent station (Met52b), accessible at: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sev&identifier=1.

Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the Tule 222 Well Meteorological Station (TUWL), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.

The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the Tule 222 Well Meteorological Station (TUWL). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmettuwl/.

Sevilleta Field Station Meteorological Network (SevMET): High frequency measurements from the West Mesa Meteorological Station (WSMS), Sevilleta National Wildlife Refuge, NM, USA, 2024-ongoing.

The Sevilleta Field Station Meteorological Network (SevMET) is a spatially distributed, long-term climate monitoring network established to enhance and expand climate monitoring across a variety of dryland ecosystems (e.g., grasslands, shrublands, woodlands) within the Sevilleta National Wildlife Refuge in central New Mexico. Ecosystem processes in drylands are strongly regulated by climatic drivers that are highly variable in space and time, both within and among years. Therefore, accurate measurement of environmental variables at high spatial and temporal resolution is fundamental to understanding biophysical processes in these ecosystems. SevMET consists of fifteen standardized research-grade weather stations located across multiple dryland ecosystem types (e.g., grasslands, shrublands, woodlands) representative of the southwestern US. Stations continuously measure a standard suite of meteorological variables at five-minute intervals, including air temperature, relative humidity, precipitation, photosynthetically active radiation, incoming shortwave radiation, wind speed and direction, dew point, vapor pressure, and, at a subset of stations, barometric pressure. Stations also measure a suite of soil parameters (bulk electrical conductivity, dielectric permittivity, temperature, and volumetric water content) at six depths (5, 10, 20, 30, 40, and 50 cm) below the ground surface using 1-2 integrated soil profilers. Additionally, phenocams at each station capture images at thirty-minute intervals during daylight hours. This data package contains high-frequency meteorological measurements from the Tule 222 Well Meteorological Station (WSMS). Phenocam images can be accessed through the PhenoCam Network at: https://phenocam.nau.edu/webcam/sites/sevmetwsms/.

openCC (other)Oct 2020View details →

Ecosystem metabolism estimates from Lake Sunapee, NH, USA and meteorological driver data at the Newport, NH, USA NOAA NCDC weather station from August 2007 – December 2008

In August 2007, the Lake Sunapee Protective Association (LSPA) deployed a buoy in Lake Sunapee, NH with a meteorological station, dissolved oxygen sensor at 1 m, and a string of thermistor water temperature sensors collecting data every 10 minutes. For this dataset, the Lake Sunapee buoy was located at a location near Loon Island all year (August 2007–December 2008) including during the winter. We used high-frequency dissolved oxygen, photosynthetically active radiation (PAR), wind speed, and water temperature profile data to estimate daily rates of gross primary production, respiration, and net ecosystem production as metrics of ecosystem metabolism and carbon cycling. This dataset included under-ice data, and we compared seasonal changes in ecosystem metabolism rates for an entire lake year from the start of fall mixing in 2007 through the end of summer stratification in 2008. Under-ice and mixing periods are infrequently sampled due to logistical challenges and assumptions of low biological activity, resulting in limited understanding of the contribution of winter epilimnetic metabolism to annual carbon cycling. Using a continuous year of high-frequency dissolved oxygen data, we found that on average, under-ice net ecosystem production (NEP) was negative, in contrast to positive NEP for the spring and summer periods. Importantly, under-ice respiration was 1.2 times higher than summer respiration. Gross primary production was low but not absent under ice and increased during the last under-ice phase. Including winter metabolism estimates flipped annual NEP from autotrophy to heterotrophy, highlighting the importance of estimating metabolism year-round. Our methods for the data analysis are described in Brentrup et al. (accepted at Inland Waters) and were similar to Richardson et al. (2016) with some modifications described in the methods. This dataset also includes derived thermocline depth calculations from the water temperature thermistor data on the Lake Sunape

openCC (other)Jan 2020View details →

Meteorological data collected on Toolik Lake during the ice free season since 1989 to 2009, Arctic LTER, Toolik Research Station, Alaska.

Yearly file describing the metological conditions on Toolik Lake (named the Toolik Lake Climate station), adjacent to the Toolik Field Research Station (68 38'N, 149 36'W). This is a floating climate station and should not be confused with the Toolik Field Station Climate site (TFS Climate Station or Met Station) which is a terrestrial station (located on land). Note that this land station has been called the "Toolik Main Climate Station", and the station on the lake is located where the main lake sampling site is located so it has also been called the Toolik Lake Main Climate Station. Measurements include air temperature, relative humidity, wind direction, wind speed, and radiation.

openCC (other)Dec 2015View details →

Meteorological data near thermokarst sites around Toolik Lake Field Station, Summer 2009-Summer 2012

GroMeteorological parameters were measured hourly adjacent to thermokarst features in the region around Toolik Field Station. Pressure, rainfall, wind speed and direction, solar radiation, air temperature and relative humidity were all measured at 1-3m above the ground surface with an Onset U30 weather station connected to all sensors.

openOpenFeb 2020View details →

NOAA Daily Surface Meteorologic Data at NCDC Everglades Station (ID-082850)(FCE LTER), South Florida from February 1924 to 2017

The National Climatic Data Center's (NOAA) daily mean, maximum, and minimum air temperatures and daily precipitation collected at Everglades Station (Coop ID- 082850). This site was terminated at the end of 2017.

openCustomJun 2013View details →

NOAA Daily Surface Meteorologic Data at NCDC Tavernier Station (ID-088841)(FCE), South Florida from June 1936 to May 2009

The National Climatic Data Center's (NOAA) daily mean, maximum, and minmium air temperatures and daily precipitation collected at Tavernier Station (Coop ID-088841).

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 3 meteorological station: 5-minute summary wind and air temperature data: 2018 - ongoing

5-minute summary data at NEAT Block-3 met station. A met station consisting of a 10-meter mast is installed on the northwest corner of the site. Air temperature, wind direction and wind speed sensors are mounted on the mast. A vertical wind profile is measured with anemometers at 0. 45m, 0.90m, 1.90m, 4.40m and 10m on the mast. A wind vane is installed at 2.50m and 8.50m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 1 meteorological station: 30-minute summary data: 2019 - ongoing

30-minute summary data at NEAT Block-1 met station. A met station consisting of a 10-meter mast is installed on the northwest corner of the site. Air temperature, wind direction and wind speed sensors are mounted on the mast. A vertical wind profile is measured with anemometers at 0. 45m, 0.90m, 1.90m, 4.40m and 10m on the mast. A wind vane is installed at 2.50m and 8.50m. Precipitation is measured. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 3 meteorological station: 1-hour summary data: 2018 - ongoing

Hourly summary data at NEAT Block-3 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation as well as albedo, incoming solar, and solar reflective are measured and calculated at an automated meteorological station installed at Jornada LTER NEAT Block-3 site. A vertical wind profile is measured with anemometers at 0. 45m, 0.90m, 1.90m, 4.40m and 10m on the mast. A wind vane is installed at 2.50m and 8.50m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 1 meteorological station: Daily summary data: 2019 - ongoing

Daily summary data at NEAT Block-1 met station. A met station consisting of a 10-meter mast is installed on the northwest corner of the site. Air temperature, wind direction and wind speed sensors are mounted on the mast. A vertical wind profile is measured with anemometers at 0. 45m, 0.90m, 1.90m, 4.40m and 10m on the mast. A wind vane is installed at 2.50m and 8.50m. Precipitation is measured. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 3 meteorological station: Daily summary data: 2018 - ongoing

Daily summary data at NEAT Block-3 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation as well as albedo, incoming solar, and solar reflective are measured and calculated at an automated meteorological station installed at Jornada LTER NEAT Block-3 site. A vertical wind profile is measured with anemometers at 0. 45m, 0.90m, 1.90m, 4.40m and 10m on the mast. A wind vane is installed at 2.50m and 8.50m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 1 meteorological station: 1-second summary precipitation data: 2019 - ongoing

1-second summary precipitation data at NEAT Block-1 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NEAT Block-1 site. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.

Jornada Basin LTER Nutrient and Ecosystem impacts of Aeolian Transport Study (NEAT) Block 3 meteorological station: 1-second summary precipitation data: 2018 - ongoing

1-second summary precipitation data at NEAT Block-3 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NEAT Block-3 site. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.