AndreaBozzo/ceres-open-data-index huggingface dataset:
Lidar Atmospheric Sensing Experiment (LASE) Data Obtained During the Southern Great Plains (SGP97) Field Experiment

The LASE Southern Great Plains (SGP97) field experiment was conducted in Oklahoma during June-July 1997. SGP97 was a NASA EOS Interdisciplinary Science Investigation to validate soil moisture retrieval algorithms at satellite temporal and spatial scales using remote sensing moisture measurements from aircraft and in situ soil measurements. One of the major objectives of SGP97 was the study of the impact of soil moisture on the atmospheric boundary layer (ABL) development. To aid convective boundary layer (CBL) studies, LASE was deployed on the NASA P-3B aircraft along with other instruments. LASE (Lidar Atmospheric Sensing Experiment) airborne lidar produces measurements of aerosols and water vapor vertical profiles from the aircraft altitude (6-8 km) down to the surface. Such profiles show the vertical context in which the SGP97 in situ and radiometric measurements are made, thus supporting the vertical extension of the in situ measurements and detecting any unsampled layers or inhomogeneities, which would impact the surface and airborne measurements.

Tags: earth-science-aerosols-atmosphere-aerosol-backscatter, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators
Organization: National Aeronautics and Space Administration
LiDAR and DTM Data from Forested Land Near Manaus, Amazonas, Brazil, 2008

This data set provides LiDAR point clouds and digital terrain models (DTM) from surveys over the K34 tower site in the Cuieiras Biological Reserve, over forest inventory plots in the Adolpho Ducke Forest Reserve, and over sites of the Biological Dynamics of Forest Fragments Project (BDFFP) in Rio Preto da Eva municipality near Manaus, Amazonas, Brazil during June 2008. The surveys encompass the K34 eddy flux tower managed through the Large-scale Biosphere-Atmosphere Experiment in Amazonia, forest inventory plots managed by the Programa de Pesquisa em Biodiversidade (PPBio), and sites managed by the BDFFP. The LiDAR data was collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.

Tags: earth-science-lidar-spectral-engineering, earth-science-topography-land-surface-terrain-elevation-digital-elevation-terrain-model-dem
Organization: National Aeronautics and Space Administration
Lidar Atmospheric Sensing Experiment (LASE) Data Obtained During the SAGE III Ozone Loss and Validation Experiment (SOLVE)

LASE_SOLVE is the Lidar Atmospheric Sensing Experiment (LASE) Data Obtained During the SAGE III Ozone Loss and Validation Experiment (SOLVE) data product. Data collection for this data set is complete. The LASE SOLVE field experiment was conducted in the Arctic during November 1999 to March 2000 with the scientists based above the Arctic Circle at the airport in Kiruna, Sweden. Measurements of stratospheric composition over the Arctic were made using a large suite of instruments aboard several European aircraft, as well as on NASA's DC-8 and ER-2 aircraft. Additionally, balloons and ground-based instruments also took atmospheric readings and scientists gathered ozone-related data to use in validating measurements by the SAGE III instrument aboard the Russian Meteor-3 satellite. LASE airborne lidar produced measurements of aerosols and water vapor vertical profiles from the aircraft altitude (6-8 km) down to the surface. SOLVE was a measurement campaign designed to examine the processes which control polar to mid-latitude stratospheric ozone levels. The goal of SOLVE was for its results to expand the understanding polar ozone processes to provide greater confidence in ozone monitoring capabilities.

Tags: earth-science-aerosols-atmosphere-aerosol-backscatter, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone-ozone-profile, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor
Organization: National Aeronautics and Space Administration
Lidar Atmospheric Sensing Experiment (LASE) Validation

An extensive validation experiment was conducted in September 1995 from Wallops Island, Virginia, to evaluate the performance of the LASE (Lidar Atmospheric Sensing Experiment) system for the measurement of water vapor profiles under a wide range of atmospheric and solar background conditions. During this experiment, the LASE system was flown on a high-altitude (ER-2) aircraft on ten missions for a total of 60 hours. LASE measurements of tropospheric water vapor were compared with in situ measurements from balloons and aircraft that were flown under the ER-2 and with remote measurements from the ground and from aircraft. A high-altitude aircraft (Lear Jet) was equipped with two in situ hygrometers, and a medium to low altitude aircraft (C-130) had onboard the NASA Langley airborne water vapor DIAL system and two in situ hygrometers. Several radiosondes were launched during each LASE flight, and some of these sondes were part of a concurrent international radiosonde intercomparison campaign sponsored by the World Meteorological Organization. The NASA Goddard Scanning Raman lidar also provided nighttime water vapor profile measurements from the ground. During this field experiment, LASE was also used in a number of atmospheric case studies including measurements of Hurricane Luis, a coastal sea breeze development, a strong cold front, an upper level front, and cirrus clouds.

Tags: earth-science-aerosols-atmosphere-aerosol-backscatter
Organization: National Aeronautics and Space Administration
LiDAR Surveys over Selected Forest Research Sites, Brazilian Amazon, 2008-2018

This dataset provides the complete catalog of point cloud data collected during LiDAR surveys over selected forest research sites across the Amazon rainforest in Brazil between 2008 and 2018 for the Sustainable Landscapes Brazil Project. Flight lines were selected to overfly key field research sites in the Brazilian states of Acre, Amazonas, Bahia, Goias, Mato Grosso, Para, Rondonia, Santa Catarina, and Sao Paulo. The point clouds have been georeferenced, noise-filtered, and corrected for misalignment of overlapping flight lines. They are provided in 1 km2 tiles. The data were collected to measure forest canopy structure across Amazonian landscapes to monitor the effects of selective logging on forest biomass and carbon balance, and forest recovery over time.

Tags: earth-science-lidar-spectral-engineering, earth-science-topography-land-surface-terrain-elevation-digital-elevation-terrain-model-dem, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-forest-composition-vegetation-structure
Organization: National Aeronautics and Space Administration
LiDAR Derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016

This dataset provides maps of aboveground forest biomass (AGB) of living trees and standing dead trees in Mg/ha across portions of Northwestern United States, including Washington, Oregon, Idaho, and Montana, at a spatial resolution of 30 m. Forest inventory data were compiled from 29 stakeholders that had overlapping lidar imagery. The collection totaled 3805 field plots with lidar imagery for 176 collections acquired between 2002 and 2016. Plot-level AGB estimates were calculated from tree measurements using the default allometric equations found in the Fire Fuels Extension (FFE) of the Forest Vegetation Simulator (FVS). The random forest algorithm was used to model AGB from lidar height and density metrics that were generated from the lidar returns within fixed-radius field plot footprints, gridded climate metrics obtained from the Climate-FVS Ready Data Server, and topographic estimates extracted from Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global elevation rasters. AGB was then mapped from the same lidar metrics gridded across the extent of the lidar collections at 30-m resolution. The standard deviation of estimated AGB of the terminal nodes from the random forest predictions was also mapped to show pixel-level model uncertainty. Note that the AGB estimates are, for the most part, a single snapshot in time and that the forest conditions are not necessarily representative of the larger study area.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-carbon
Organization: National Aeronautics and Space Administration
LiDAR-based Biomass Estimates, Boreal Forest Biome, Eurasia, 2005-2006

This data set provides estimates of aboveground biomass (AGB) for defined land cover types within World Wildlife Fund (WWF) ecoregions across the boreal biome of eastern and western Eurasia, roughly between 50 and 70 degrees N. The study focused on within-growing-season data, i.e. leaf-on conditions. The AGB estimates were derived from a series of models that first related ground-based measured biomass to airborne data collected with an Optech Airborne Laser Terrain Mapper (ALTM) 3100, and a second set of models that related the airborne estimates of biomass to Geoscience Laser Altimeter System (GLAS) LiDAR canopy structure measurements. The ground, airborne, and GLAS measurements were used to formulate the models needed to generate biomass predictions for western Eurasia. Eastern Eurasia employed a two-phase approach relating field measurements directly to the GLAS measurements without the airborne intermediary. The GLAS LiDAR biomass estimates were extrapolated by land cover types and ecoregions across the entire biome area. The study compiled remotely sensed forest structure data collected in June of 2005 and 2006 from the GLAS LiDAR instrument aboard the NASA Ice, Cloud, and land Elevation (ICESat) satellite and from an Optech Airborne Laser Terrain Mapper (ALTM) 3100 airborne instrument flown in Southeast Norway over both the ground plots and the ICESat GLAS flight path. For a consistent biome-level analysis, ecoregions contained within the boreal forest biome were identified by the World Wildlife Fund's (WWF) ecoregion map of the world (Olson et al., 2001). MODIS MOD12Q1 land cover products (2004) were used to identify land cover types for stratification purposes within eco-regions. The ground-based measurements are not provided with this data set.

Tags: earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-canopy-characteristics
Organization: National Aeronautics and Space Administration
Lightning Imaging Sensor (LIS) on TRMM Backgrounds V4

The Lightning Imaging Sensor (LIS) Backgrounds was collected by the LIS instrument on the Tropical Rainfall Measuring Mission (TRMM) satellite used to detect the distribution and variability of total lightning occurring in the Earth’s tropical and subtropical regions. This data can be used for severe storm detection and analysis, as well as for lightning-atmosphere interaction studies. The LIS instrument makes measurements during both day and night with high detection efficiency. These data are available in both HDF-4 and netCDF-4 formats.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning, earth-science-weather-events-atmosphere-lightning
Organization: National Aeronautics and Space Administration
LIMS/Nimbus-7 Level 3 Daily 2 deg Latitude Zonal Fourier Coefficients of O3, NO2, H2O, HNO3, Geopotential Height, and Temperature V006 (LIMSN7L3) at GES DISC

The Limb Infrared Monitor of the Stratosphere (LIMS) version 6 Level-3 data product consists of daily, 2 degree zonal Fourier coefficients, of vertical profiles of temperature, geopotential height, and mixing ratios of ozone (O3), nitrogen dioxide (NO2), water vapor (H2O), and nitric acid (HNO3). The data are on 28 pressure levels, equally spaced logarithmically, between 316 hPa and 0.01 hPa. Version 6 LIMS data have improved accuracy and precision of measured geophysical parameters. The data files are in an ASCII text format compressed using gzip. The LIMS instrument was launched on the Nimbus-7 satellite and was operational from 25 October 1978 until May 28, 1979. These data supercede the previous version 5 products, known as the LIMS Map Archival Tape (LAMAT) and the LIMS Seasonal Map Archival Tape (LASMAT).

Tags: earth-science-altitude-atmosphere-geopotential-height, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-atmospheric-nitric-acid, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-dioxide, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-temperature-atmosphere-upper-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles-water-vapor-mixing-ratio
Organization: National Aeronautics and Space Administration
LIMS/Nimbus-7 Level 1 Profiles of Radiance Data V001 (LIMSN7L1PROFILER) at GES DISC

LIMSN7L1PROFILER is the Nimbus-7 Limb Infrared Monitor of the Stratosphere (LIMS) Level-1 Profiles of Radiance Data product and contains selected daily vertical profiles across the earth’s atmospheric limb derived from the LIMS Level-1 Radiance Archival Tape (RAT) data product. Measurements are obtained, as a function of tangent height (or scan angle), once every 12 seconds in each of the six spectral bands (two 15-micrometer CO2 bands (narrow and wide), an 11.3-micrometer HNO3 band, a 9.6-micrometer O3 band, a 6.9-micrometer H2O band, and a 6.2-micrometer NO2 band) from the highest pressure level to the lowest in steps of 0.1 km Each file contains one days worth of data (~14 orbits per day). LIMS is a limb profiler and spatial coverage is near global between latitude -64 and +84 degrees. Vertical coverage is from about 10 to 50 km (O3 channel to 65 km), with vertical resolution of about 1.5 km. The data are available from 25 October 1978 through 30 May 1979. The principal investigators for the LIMS experiment were Dr. James M. Russell, III from NASA Langley and Dr. John Gille from NCAR. This product was previously available from the NASA National Space Science Data Center (NSSDC) under the name LIMS Radiance Archival Data with the identifier ESAC-00032 (old id 78-098A-01B).

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance
Organization: National Aeronautics and Space Administration
LIS 0.1 DEGREE VERY HIGH RESOLUTION GRIDDED LIGHTNING MONTHLY CLIMATOLOGY (VHRMC) V1

The LIS 0.1 Degree Very High Resolution Gridded Lightning Monthly Climatology (VHRMC) dataset consists of gridded monthly climatologies of total lightning flash rates seen by the Lightning Imaging Sensor (LIS) from January 1, 1998 through December 31, 2013. LIS is an instrument on the Tropical Rainfall Measurement Mission satellite (TRMM) used to detect the distribution and variability of total lightning occurring in the Earth's tropical and subtropical regions. This information can be used for severe storm detection and analysis, and also for lightning-atmosphere interaction studies. The gridded climatologies include annual mean flash rate, mean diurnal cycle of flash rate with 24 hour resolution, and mean annual cycle of flash rate with daily, monthly, or seasonal resolution. All datasets are in 0.1 degree spatial resolution. The mean annual cycle of flash rate datasets (i.e., daily, monthly or seasonal) have both 49-day and 1 degree boxcar moving averages to remove diurnal cycle and smooth regions with low flash rate, making the results more robust.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning, earth-science-weather-events-atmosphere-lightning
Organization: National Aeronautics and Space Administration
LINKAGES: An Individual-based Forest Ecosystem Biogeochemistry Model

This model product contains the source codes for version 1 of the individual-based forest ecosystem biogeochemistry model LINKAGES and two subsequent versions as well as example input and output data. LINKAGES predicts long-term structure and dynamics of forest ecosystems as constrained by nitrogen availability, climate, and soil moisture. Model simulations compare favorably to field data from different geographic areas worldwide. LINKAGES, written in FORTRAN and provided in ASCII format, simulates birth, growth, and death of all trees greater than 1.43-cm dbh. Litter fall and decomposition are also simulated. Sunlight is the driving variable. Growing season degree days, soil water availability, and AET are calculated from precipitation, temperature, soil field moisture capacity, and wilting point. Decomposition and soil N availability are calculated from organic matter quantity and carbon chemistry, evapotranspiration, and degree of canopy closure. Light availability to each tree is a function of leaf biomass of taller trees. Degree days and availabilities of light and water constrain species reproduction. These variables plus soil N constrain tree growth and carbon accumulation in biomass. Tree death probability increases with age and slow growth. Leaf, root, and woody litter are returned to the soil at the end of each year to decay the following year. Climatic and forest data for eastern North America and New South Wales are provided as example model inputs. Modelers may use their own site data within any version of LINKAGES. Example model output is also provided.

Tags: earth-science-atmospheric-radiation-atmosphere-solar-radiation, earth-science-atmospheric-temperature-atmosphere-atmospheric-temperature-indices-cooling-degree, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evapotranspiration, earth-science-ecological-dynamics-biosphere-ecosystem-functions, earth-science-ecological-dynamics-biosphere-ecosystem-functions-decomposition, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-precipitation-atmosphere-precipitation-amount, earth-science-soils-land-surface-nitrogen, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-soils-land-surface-soil-water-holding-capacity, earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-forest-composition-vegetation-structure, earth-science-vegetation-biosphere-litter-characteristics
Organization: National Aeronautics and Space Administration
LMOS Illinois EPA (IEPA) Ground Site Data

LMOS_Ground_IEPA_Data_1 is the Lake Michigan Ozone Study (LMOS) ground site data collected at the Illinois EPA (IEPA) ground site during the LMOS field campaign. This product is a result of a joint effort across multiple agencies, including NASA, NOAA, the EPA, Electric Power Research Institute (EPRI), National Science Foundation (NSF), Lake Michigan Air Directors Consortium (LADCO) and its member states, and several research groups at universities. Data collection is complete. Elevated spring and summertime ozone levels remain a challenge along the coast of Lake Michigan, with a number of monitors exceeding the 2015 National Ambient Air Quality Standards (NAAQS) for ozone. The production of ozone over Lake Michigan, combined with onshore daytime “lake breeze” airflow is believed to increase ozone concentrations at locations within a few kilometers off shore. This observed lake-shore gradient motivated the Lake Michigan Ozone Study (LMOS). Conducted from May through June 2017, the goal of LMOS was to better understand ozone formation and transport around Lake Michigan; in particular, why ozone concentrations are generally highest along the lakeshore and drop off sharply inland and why ozone concentrations peak in rural areas far from major emission sources. LMOS was a collaborative, multi-agency field study that provided extensive observational air quality and meteorology datasets through a combination of airborne, ship, mobile laboratories, and fixed ground-based observational platforms. Chemical transport models (CTMs) and meteorological forecast tools assisted in planning for day-to-day measurement strategies. The long term goals of the LMOS field study were to improve modeled ozone forecasts for this region, better understand ozone formation and transport around Lake Michigan, provide a better understanding of the lakeshore gradient in ozone concentrations (which could influence how the Environmental Protection Agency (EPA) addresses future regional ozone issues), and provide improved knowledge of how emissions influence ozone formation in the region.

Tags: earth-science-air-quality-atmosphere, earth-science-air-quality-atmosphere-tropospheric-ozone, earth-science-atmospheric-chemistry-atmosphere, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-oxides, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-water-vapor-atmosphere, earth-science-atmospheric-winds-atmosphere, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-direction, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-speed
Organization: National Aeronautics and Space Administration
Longwave-infrared spectral imagery in support of COMEX, 2014

This dataset provides calibrated at-sensor radiance, retrieved surface brightness temperature, and adaptive coherence estimator (ACE) detection imagery of methane, and a limited number of auxiliary gases collected with the Aerospace Corporation's Mako airborne longwave-IR hyperspectral imager flown during July 22-25, 2014 over a variety of methane generating sites in southern and central California (CA), U.S. These sites included animal husbandry and oil/gas production facilities. Specific study areas included the Coal Oil Point marine seep field off of Goleta, CA, the Kern River oil field complex at Bakersfield, CA, and the extensive stockyards in Chino, CA. The Kern River complex was acquired at 1-m ground sampling distance (GSD), while the other study areas were at 2-m GSD. Levels 1-3 data include single whisk data cubes (L1); at-sensor radiance and sensor performance (L2); surface brightness temperature and ACE detections for specific gases (L3). The data were collected in support of the NASA/ESA COMEX (CO2 and Methane EXperiment) campaign. The data are provided in ENVI and comma separated values (CSV) formats. Quicklook images are included for flight lines and molecule specific detections.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-methane, earth-science-economic-resources-human-dimensions-agriculture-production, earth-science-economic-resources-human-dimensions-energy-production-use-coal-production-use, earth-science-economic-resources-human-dimensions-energy-production-use-oil-production-use, earth-science-environmental-impacts-human-dimensions-industrial-emissions, earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery
Organization: National Aeronautics and Space Administration