AndreaBozzo/ceres-open-data-index huggingface dataset:
TOVS LMD 5 DAY GRIDS from NOAA-12 V01 (TOVSB5ND) at GES DISC

Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 5 days and mapped on to a 1x1 degree grid. This data was run as part of the NASA TOVS Pathfinder project and designated as Path-B. This dataset contains data from the NOAA-12 satellite.

Tags: atmosphere, atmosphere-oxygen-compounds, atmospheric-temperature, atmospheric-water-vapor, clouds-atmosphere, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-temperature-atmosphere-surface-temperature-skin-temperature, earth-science-atmospheric-temperature-atmosphere-upper-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles, earth-science-clouds-atmosphere-atmospheric-chemistry, humidity, skin-temperature, surface-temperature, upper-air-temperature, water-vapor, water-vapor-indicators, water-vapor-profiles-atmospheric-ozone
Organization: National Aeronautics and Space Administration
TRACER-AQ Ozonesondes/Radiosondes Data

TRACERAQ_Sondes_Data is the ozonesonde and radiosonde data launched at the University of Houston and LaPorte ground sites during the TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) field study. Data collection is complete. The TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign is a field study co-sponsored by NASA and TCEQ (Texas Commission on Environmental Quality), with partners from DOE (Department of Energy) TRacking Aerosol Convection ExpeRiment (TRACER), and several academic institutions. This synergistic effort aims to gain an updated understanding in photochemistry and meteorological impact on ozone formation in the Houston region, particularly around the Houston Ship Channel, Galveston Bay, and the Gulf of America; and provide observations for evaluating air quality models and satellite observations. The primary TRACER-AQ field observations period lasted from mid-August to late September 2021, coinciding with the peak ozone season in East Texas. A second deployment occurred in summer 2022 with a subset of ground-based assets. The observing system includes airborne remote sensing, mobile (boat/vehicle) laboratories, and stationary ground-based assets. The airborne component was based on the NASA Gulfstream V aircraft instrumented with GCAS (GEOCAPE (GEOstationary Coastal and Air Pollution Events) Airborne Simulator) for making measurements of column nitrogen dioxide (NO2) and formaldehyde (HCHO) as well as a lidar system, HSRL-2 (High Spectral Resolution Lidar-2), to measure ozone (O3) and aerosol vertical profiles over the course of 12 flight days. Ground-based assets include ground-based ozone lidars from the Tropospheric Ozone Lidar Network (TOLNet), ceilometers, Pandora spectrometers, AErosol RObotic NETwork (AERONET) remote sensors, ozonesondes, and stationary and mobile laboratories of in situ air quality and meteorological observations. This coordinated observing system provides updated or unseen perspectives in spatial and temporal distribution of the key photochemical species and atmospheric structure information, particularly with a focus on the temporal evolution of observations throughout the daytime in preparation for upcoming geostationary satellite air quality observations.

Tags: air-quality, atmosphere, atmosphere-oxygen-compounds, atmospheric-chemistry, atmospheric-chemistry-atmosphere, earth-science-air-quality-atmosphere, earth-science-air-quality-atmosphere-tropospheric-ozone, earth-science-atmospheric-chemistry-atmosphere, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone-air-quality, oxygen-compounds-atmospheric-ozone, tropospheric-ozone
Organization: National Aeronautics and Space Administration
TRACER-AQ Pandora Column Observations

TRACERAQ_Pandora_Data is the Pandora spectrometer data collected at various ground sites during the TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) field study. Data collection is complete. The TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign is a field study co-sponsored by NASA and TCEQ (Texas Commission on Environmental Quality), with partners from DOE (Department of Energy) TRacking Aerosol Convection ExpeRiment (TRACER), and several academic institutions. This synergistic effort aims to gain an updated understanding in photochemistry and meteorological impact on ozone formation in the Houston region, particularly around the Houston Ship Channel, Galveston Bay, and the Gulf of America; and provide observations for evaluating air quality models and satellite observations. The primary TRACER-AQ field observations period lasted from mid-August to late September 2021, coinciding with the peak ozone season in East Texas, with a second deployment in summer 2022 with a subset of ground-based assets. The observing system includes airborne remote sensing, mobile (boat/vehicle) laboratories, and stationary ground-based assets. The airborne component was based on the NASA Gulfstream V aircraft instrumented with GCAS (GEOCAPE Airborne Simulator) for making measurements of column NO2 and HCHO as well as a lidar system, HSRL-2 (High Spectral Resolution Lidar-2), to measure O3 and aerosol vertical profiles over the course of 12 flight days. Ground-based assets include ground-based ozone lidars from the Tropospheric Ozone Lidar Network (TOLNet), ceilometers, Pandora spectrometers, AErosol RObotic NETwork (AERONET) remote sensors, ozonesondes, and stationary and mobile laboratories of in situ air quality and meteorological observations. This coordinated observing system provides updated or unseen perspectives in spatial and temporal distribution of the key photochemical species and atmospheric structure information, particularly with a focus on the temporal evolution of observations throughout the daytime in preparation for upcoming geostationary satellite air quality observations.

Tags: atmosphere, atmosphere-nitrogen-compounds, atmospheric-chemistry, atmospheric-chemistry-atmosphere, carbon-and-hydrocarbon-compounds, earth-science-atmospheric-chemistry-atmosphere, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-formaldehyde, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-atmospheric-chemistry, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-dioxide, formaldehyde, nitrogen-compounds-nitrogen-dioxide
Organization: National Aeronautics and Space Administration
Tower-based PhotoSpec Products for the 2019 and 2020 Spring Transition Season, SK, CA

This dataset includes daily averaged solar-induced chlorophyll fluorescence (SIF) in the red (680-686 nm) and far-red (745-758 nm) wavelength ranges, relative SIF (SIF/Intensity), chlorophyll-carotenoid index (CCI), photochemical reflectance index (PRI), near-infrared vegetation index (NIRv), and normalized difference vegetation index (NDVI) for both black spruce (Picea mariana) and larch (Larix laricina) targets. The study site (Southern Old Black Spruce, SOBS Fluxnet ID CA-Obs) is located near the southern limit of the boreal forest ecotone in Saskatchewan, Canada. Data were collected for the spring transition in both 2019 and 2020 using PhotoSpec. Species-specific averages were calculated over each 30-minute period, then averaged again to report daily averages of SIF relative and reflectance measurements for both black spruce and larch.

Tags: biosphere, biosphere-chlorophyll, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-chlorophyll, earth-science-vegetation-biosphere-solar-induced-fluorescence, earth-science-vegetation-biosphere-vegetation-index-normalized-difference-vegetation-index-ndvi, earth-science-vegetation-biosphere-vegetation-species-vegetation, ecosystems, normalized-difference-vegetation-index-ndvi, solar-induced-fluorescence, terrestrial-ecosystems, vegetation, vegetation-biosphere, vegetation-index, vegetation-species-forests
Organization: National Aeronautics and Space Administration
Two-Dimensional Video Disdrometer (2DVD) IMPACTS V1

The Two-Dimensional Video Disdrometer (2DVD) IMPACTS data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. The IMPACTS field campaign addressed providing observations critical to understanding the mechanisms of snowband formation, organization, and evolution, examining how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands, and improving snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. These data consist of the size, equivalent diameter, fall speed, oblateness, cross-sectional area of raindrops, particle concentration, total number of drops, total drop concentration, liquid water content, rain rate, reflectivity, and rain event characteristics. Data files are available from January 15, 2020 through February 28, 2020 in ASCII format.

Tags: earth-science-clouds-atmosphere-cloud-microphysics-cloud-droplet-concentration-size, earth-science-precipitation-atmosphere-droplet-size, earth-science-precipitation-atmosphere-precipitation-rate
Organization: National Aeronautics and Space Administration
TransCom 3: Seasonal CO2 Flux Estimates from Atmospheric Inversions (Level 2)

This data set provides model outputs and seasonal mean CO2 fluxes from the Atmospheric Carbon Cycle Inversion Intercomparison (TransCom 3), Level 2 inversion experiment. Inversion methods can be used to estimate surface CO2 fluxes from atmospheric CO2 concentration measurements, given an atmospheric transport model to relate the two. This Level 2 experiment inverted for the spatial and temporal pattern of the residual CO2 sources and sinks. There were 12 atmospheric tracer transport models utilized in this experiment. The data inverted were mean CO2 concentration data from 75 sites from the GLOBALVIEW-CO2 2000 data set for the period 1990-1996. The seasonal inversion consists of a 3 year forward simulation (365 days per year) containing 4 presubtracted tracers, 11 SF6 tracers, and 22 CO2 tracers (11 terrestrial, 11 oceanic) (Gurney et al., 2000). Carbon fluxes were estimated for each month of an average year determined as the mean of the 1992-1996 time period from an intercomparison of 12 different atmospheric tracer transport models. This data set provides input data, model output data,the cyclo inversion code, a basis function map, and estimated fluxes.

Tags: atmosphere, atmosphere-trace-gases-trace-species, atmospheric-chemistry, atmospheric-chemistry-atmosphere, carbon-and-hydrocarbon-compounds, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds-atmospheric-chemistry, earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species, sulfur-compounds-atmospheric-carbon-dioxide
Organization: National Aeronautics and Space Administration
TransCom 3: Annual Mean CO2 Flux Estimates from Atmospheric Inversions (Level 1)

The Atmospheric Tracer Transport Model Intercomparison Project (TransCom) was created to quantify and diagnose the uncertainty in inversion calculations of the global carbon budget that results from errors in simulated atmospheric transport, the choice of measured atmospheric carbon dioxide data used, and the inversion methodology employed. Under the third phase of TransCom (TransCom 3), surface-atmosphere CO2 fluxes were estimated from an intercomparison of 16 different atmospheric tracer transport models and model variants in order to assess the contribution of uncertainties in transport to the uncertainties in flux estimates for annual mean, seasonal cycle, and interannual inversions (referred to as Level 1, 2, and 3 experiments, respectively). This data set provides the model output and inversion results for the TransCom 3, Level I annual mean inversion experiments. Annual mean CO2 concentration data (GLOBALVIEW-CO2, 2000) were used to estimate CO2 sources. The annual average fluxes were estimated for the 1992-1996 period using each of the 16 transport models and a common inversion set-up (Gurney et al., 2002). Methodological choices for this control inversion were selected on the basis of knowledge gained from a wide range of sensitivity tests (Law et al., 2003). Gurney et al. (2003) present results from the control inversion for individual models as well as results from a number of sensitivity tests related to the specification of prior flux information. Additional information about the experimental protocol and results is provided in the companion files and the TransCom project web site (http://www.purdue.edu/transcom/index.php). The results of the Level 1 experiments presented here are grouped into two broad categories: forward simulation fields and response functions (model output) and estimated fluxes (inversion results).

Tags: atmosphere-carbon-and-hydrocarbon-compounds, atmospheric-chemistry-atmosphere, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds-sulfur-oxides-atmospheric-chemi, sulfur-compounds-atmospheric-carbon-dioxide, sulfur-oxides
Organization: National Aeronautics and Space Administration
Tree Canopy Cover for the Circumpolar Taiga-Tundra Ecotone: 2000-2005

This data set provides a map of selected areas with defined tree canopy cover over the circumpolar taiga-tundra ecotone (TTE). Canopy cover was derived from the 500-meter MODIS Vegetation Continuous Fields (VCF) product as averaged over six years from 2000-2005 and processed as described in Ranson et al. (2011). This process identified patches of low tree canopy cover which are indicative of the transition from forest to tundra and differentiate the circumpolar taiga–tundra ecotone for the 2000–2005 period. The TTE is the Earth's longest vegetation transition zone and stretches for more than 13,400 km around Arctic North America, Scandinavia, and Eurasia. In Eurasia, the map extends from 60 degrees N to 70 degrees N, and in North America from 50 degrees N to 70 degrees N, excluding Baffin Island in northeastern Canada and the Aleutian Peninsula in southwestern Alaska. Note that for this product, taiga is being used one and the same as boreal forest. This circumpolar TTE area was classified according to VCF tree canopy cover.

Tags: biosphere-vegetation-cover, canopy-characteristics, earth-science-vegetation-biosphere-canopy-characteristics-vegetation, earth-science-vegetation-biosphere-vegetation-cover, vegetation-biosphere
Organization: National Aeronautics and Space Administration
U.S. National Ice Center Arctic and Antarctic Sea Ice Charts in SIGRID-3 Format, Version 1

This data set provides total sea ice concentration, partial concentration, stage of development, and ice form as defined by the World Meteorological Organization in SIGRID-3 shapefiles. The data are from the U.S. National Ice Center (USNIC) and span 2003 to the present.

Tags: earth-science-sea-ice-cryosphere-ice-types, earth-science-sea-ice-cryosphere-sea-ice-concentration
Organization: National Aeronautics and Space Administration
TRMM (TMPA-RT) Near Real-Time Microwave precipitation estimate L3 3 hour 0.25 degree x 0.25 degree V7 (TRMM_3B40RT) at GES DISC

TMPA (3B40RT) dataset have been discontinued as of Dec. 31, 2019, and users are strongly encouraged to shift to the successor IMERG datasets (doi: 10.5067/GPM/IMERG/3B-HH-E/06, 10.5067/GPM/IMERG/3B-HH-L/06). These data were output from the TRMM Multi-satellite Precipitation Analysis (TMPA), the Near Real-Time (RT) processing stream. The latency was about seven hours from the observation time, although processing issues may delay or prevent this schedule. Users should be mindful that the price for the short latency of these data is the reduced quality as compared to e.g. research quality product 3B42. This particular dataset is an intermediate high-quality (HQ) estimate from merged Microwave precipitation estimates. Data files start with a header consisteing of a 2880-byte header record containing ASCII characters. The header line makes the file nearly self-documenting, in particular spelling out the variable and version names, and giving the units of the variables. Immediately after the header follow the data fields. All fields are 1440x720 grid boxes (0-360�E,90�N-S). The first grid box center is at (0.125�E,89.875�N). The grid increments most rapidly to the east. Grid boxes without valid data are filled with the (2-byte integer) "missing" value -31999. Estimates are only computed for the band 70�N-S. This binary data sets are in IEEE ?big-endian? floating-point format. Files are produced every 3 hours on synoptic observation hours (00, 03, ..., 21 UTC) as an accumulation of all HQ swath data observed within +/-90 minutes of the nominal file time. I.e. Each file is a snapshot considered to represent the three-hour period centered on the "nominal" file time. So, e.g., 00 UTC nominally represents the period from 2230 UTC of the previous day to 0130 UTC of the current day.

Tags: earth-science-precipitation-atmosphere-total-surface-precipitation-rate-precipitation-atmospher
Organization: National Aeronautics and Space Administration
TRMM Ground Validation Radar Reflectivity Single Level Cartesian Grid 1 hour V7 (TRMM_baseUW) at GES DISC

This dataset is part of the University of Washington TRMM Ground Validation products. Data contains single level, cartesian grids containing output of NCAR SPRINT interpolation of lowest sweep of 1C51UW. Horizontal extent is 150x150km and horizontal resolution is 2km. Note that in the netCDF files, "alt" (altitude) is assigned the elevation angle of the lowest sweep (which is used to create this product) and "z_spacing" has no meaning. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: + Darwin, Australia; + Houston, Texas; + Kwajalein, Republic of the Marshall Islands; + Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

Tags: atmosphere, earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-precipitation-atmosphere-precipitation-rate, earth-science-radar-spectral-engineering-radar-reflectivity-precipitation, liquid-precipitation, precipitation, radar-atmosphere, radar-reflectivity-rain, spectral-engineering-precipitation-rate
Organization: National Aeronautics and Space Administration
U.S. National Ice Center Arctic Sea Ice Charts and Climatologies in Gridded Format, 1972 - 2007, Version 1

Notice: Due to funding limitations, this data set was recently changed to a “Basic” Level of Service. Learn more about what this means for users and how you can share your story here: <a href="https://nsidc.org/data/user-resources/data-announcements/user-notice-level-service-update-data-products">Level of Service Update for Data Products</a>.<br><br> NOTE: The data product titled <a href="https://nsidc.org/data/G10033">U.S. National Ice Center Arctic and Antarctic Sea Ice Concentration and Climatologies in Gridded Format</a> supersedes this product. It begins with charts from January 2003 and is updated weekly. The U.S. National Ice Center (NIC) is an inter-agency sea ice analysis and forecasting center comprised of the Department of Commerce/NOAA, the Department of Defense/U.S. Navy, and the Department of Homeland Security/U.S. Coast Guard components. Since 1972, NIC has produced Arctic and Antarctic sea ice charts. This data set is comprised of Arctic sea ice concentration climatology derived from the NIC weekly or biweekly operational ice-chart time series. The charts used in the climatology are from 1972 through 2007; and the monthly climatology products are median, maximum, minimum, first quartile, and third quartile concentrations, as well as frequency of occurrence of ice at any concentration for the entire period of record as well as for 10-year and 5-year periods. These climatologies and the charts from which they are derived are provided in the 25-km Equal-Area Scalable Earth Grid (EASE-Grid) binary (.bin) format. The climatologies are also available in ArcGIS geodatabases (.mdb), and GIF format browse files (.gif) are also provided. To view the browse files and compare climatological periods visually, choose Search Database under the Download Data tab.

Tags: earth-science-sea-ice-cryosphere-sea-ice-concentration
Organization: National Aeronautics and Space Administration
TRMM Ground Validation Radar Reflectivity L1B 1 hour V7 (TRMM_1B51) at GES DISC

The TRMM_1B51 product displays the existence of rain in the radar volume scan. 'Existence' is the fraction of the radar FOV which has measurable precipitation. The GV radar FOV is defined as a base scan (i.e., the lowest level sweep). Each product file has the Existence data of one site (not one radar) for one month. A key component of the TRMM project is the Ground Validation (GV) effort which consists of collecting data from ground-based radar, rain gauges and disdrometers. The data is quality-controlled, and then validation products are produced for comparison with TRMM satellite products. The four primary GV sites are: + Darwin, Australia; + Houston, Texas; + Kwajalein, Republic of the Marshall Islands; + Melbourne, Florida. A significant effort is also being supported at NASA Wallops Flight Facility (WFF) and vicinity to provide high quality, long-term measurements of rain rates (via a network of rain gauges collocated with National Weather Service gauges), as well as drop size distributions (DSD) using a variety of instruments, including impact-type Joss Waldvogel, laser-optical Parsivel, as well as two-dimensional video disdrometers. DSD measurements are also being collected at Melbourne and Kwajalein using Joss-Waldvogel disdrometers.

Tags: atmosphere, earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-precipitation-atmosphere-precipitation-rate, earth-science-radar-spectral-engineering-radar-reflectivity-precipitation, liquid-precipitation, precipitation, radar-atmosphere, radar-reflectivity-rain, spectral-engineering-precipitation-rate
Organization: National Aeronautics and Space Administration