AndreaBozzo/ceres-open-data-index huggingface dataset:
NARSTO SOS99 Nashville WP-3D Orion Air Chemistry Data

NARSTO_SOS99NASH_WP3D_CHEMISTRY_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) SOS99 Nashville WP-3D Orion Air Chemistry Data product. It was obtained between June 26 and July 19, 1999 during the WP3-D aircraft component of the Nashville 1999 study sponsored in part by the Southern Oxidant Study. The organizations participating in the study included Aircraft Operations Center, National Oceanic and Atmospheric Administration (NOAA), U.S. Dept of Commerce; Aeronomy Laboratory, U.S. Dept of Commerce; Cooperative Institute for Research in Environmental Sciences, University of Colorado; National Center for Atmospheric Research (NCAR); Brookhaven National Laboratory; and University of Denver. There were 12 flights in the mission. Measurements focused on obtaining an improved understanding of the processes that control the formation and distribution of fine particles and ozone. Measurements included in the data files are: aircraft location data, aerosol particle characteristics; upper air meteorology; CO, ozone, NO, NO2, NOy, HNO3, SO2, CO2; NMHCs; photolysis rate coefficients from Actinic flux measurements; PAN, PPN, and MPAN; and formaldehyde. NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.

Tags: earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-air-quality-atmosphere-volatile-organic-compounds, earth-science-altitude-atmosphere-station-height, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-non-methane-hyd, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-atmospheric-nitric-acid, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-oxides, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-chemistry-atmosphere-sulfur-compounds-sulfur-dioxide, earth-science-atmospheric-pressure-atmosphere, earth-science-atmospheric-radiation-atmosphere-ultraviolet-radiation, earth-science-atmospheric-temperature-atmosphere-surface-temperature-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-winds-atmosphere-upper-level-winds
Organization: National Aeronautics and Space Administration
MODIS Aqua L2 deep-convective cloud classification

MODIS Aqua L2 deep-convective cloud classification (DC) are part of our global MODIS Aqua data from the 2017 MEaSUREs project, A Comprehensive Data Record of Marine Low-level and Deep Convective Cloud Systems Using an Object-Oriented Approach.

Tags: earth-science-clouds-atmosphere, earth-science-clouds-atmosphere-convective-clouds-systems-observed-analyzed
Organization: National Aeronautics and Space Administration
NARSTO Texas Particulate Matter (PM) 2.5 Sampling and Analysis Study: 1997-1998 Data

NARSTO_Texas_PM2.5_Sampling_and_Analysis_Study_1997-1998_ is the North American Research Strategy for Tropospheric Ozone (NARSTO) Texas Particulate Matter (PM) 2.5 Sampling and Analysis Study: 1997-1998 Data. The data for this product was collected from March 11, 1997 to March 12, 1998. The City of Houston, the Texas Natural Resource Conservation Commission (TNRCC), and the Houston Regional Monitoring Network sponsored sampling and analysis of PM2.5 samples taken over the course of one year, from March 11, 1997 to March 12, 1998. Objectives of the study were to determine the levels and chemical composition of PM2.5 in Houston and other cities in Texas and to determine the background levels and chemical composition of PM2.5 transported into Houston. During the sampling effort, 24-hour PM2.5 mass measurements were acquired from 15 sites throughout the state of Texas, using DRI's MEDVOL particle samples. All of the Teflon filters were analyzed for mass by gravimetry and a selected subset of the Teflon and quartz fiber filters were subjected to full chemical analysis. These measurements were taken in anticipation of the U.S. EPA revising PM2.5 and PM10 NAAQS. These results could be used to establish background PM conditions and determine compliance with new PM standards. Various sampler configurations allow evaluation of data precision, accuracy, and validity. NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.

Tags: earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-aerosols-atmosphere-particulate-matter, earth-science-atmospheric-chemistry-atmosphere-trace-elements-trace-metals
Organization: National Aeronautics and Space Administration
NASA Earth Exchange Global Daily Downscaled Projections

The NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate scenarios for the globe that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) and across two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs). The CMIP5 GCM runs were developed in support of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). The NEX-GDDP dataset includes downscaled projections for RCP 4.5 and RCP 8.5 from the 21 models and scenarios for which daily scenarios were produced and distributed under CMIP5. Each of the climate projections includes daily maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2100. The spatial resolution of the dataset is 0.25 degrees (~25 km x 25 km). The NEX-GDDP dataset is provided to assist the science community in conducting studies of climate change impacts at local to regional scales, and to enhance public understanding of possible future global climate patterns at the spatial scale of individual towns, cities, and watersheds. Each of the climate projections includes monthly averaged maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run).

Tags: earth-science-atmospheric-temperature-atmosphere-surface-temperature-maximum-minimum-temperatur, earth-science-precipitation-atmosphere-precipitation-rate
Organization: National Aeronautics and Space Administration
NASA Energy and Water cycle Study (NEWS) Monthly Climatology of the 1st decade of the 21st Century V1.0 (NEWS_WEB_MCLIM) at GES DISC

NASA Energy and Water cycle Study (NEWS) Climatology of the 1st decade of the 21st Century Dataset summarizes the original observationally-based mean fluxes of water and energy budget components during the first decade of the 21st Century, for each continent and ocean basin on monthly and annual scales as well as means over all oceans, all continents, and the globe. A careful accounting of uncertainty in the estimates is included. Also, it includes optimized versions of all component fluxes that simultaneously satisfy energy and water cycle balance constraints. The NEWS Climatology contains two data products: an annual climatology data product and a monthly climatology data product. This data product is the monthly climatology product. The climatology base period is roughly 1998-2010, where individual datasets cover various periods starting as early as 1998 and as late as 2002, not all extending to 2010. The continents and ocean basins boundaries map is used in this study to compute regional means. The ocean basin data was provided by Kyle Hilburn and Chelle Gentemann at Remote Sensing Systems. The land portion and some inland water bodies of the data are delineated into continents according to general definitions found in Wikipedia and relevant past studies. The data are distributed with four different units (1000 km^3/month, W/m^2, cm/month, and mm/day), in three formats (NetCDF, xlsx, and csv).

Tags: earth-science-atmospheric-radiation-atmosphere, earth-science-atmospheric-radiation-atmosphere-heat-flux, earth-science-atmospheric-radiation-atmosphere-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-outgoing-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-shortwave-radiation, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evapotranspiration, earth-science-ground-water-terrestrial-hydrosphere, earth-science-ocean-heat-budget-oceans-heat-flux, earth-science-ocean-heat-budget-oceans-longwave-radiation, earth-science-ocean-heat-budget-oceans-shortwave-radiation, earth-science-precipitation-atmosphere, earth-science-soils-land-surface-soil-heat-budget, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-runoff
Organization: National Aeronautics and Space Administration
MODIS Aqua L2 model predicted low cloud types of chopped blocks in which low cloud dominates (block size: 128pixels x 128pixels) V001 (MYD_L2_MPLCT) at GES DISC

This product is composed of a beta version for a product from the MODerate resolution Imaging Spectrometer (MODIS) on board the Aqua satellite. This dataset contains model predicted low cloud morphology type classifications (MPLCT) of each of the chopped blocks as part of our global MODIS Aqua data from the 2017 MEaSUREs project, A Comprehensive Data Record of Marine Low-level and Deep Convective Cloud Systems Using an Object-Oriented Approach. These data are the model predictions of cloud types for low-cloud-dominated blocks over the oceans for individual MODIS Aqua granule data, chopped into small blocks in shape (np_x, np_y), where np_x = 128 pixels and np_y = 128 pixels. These low-cloud-dominated blocks are defined by the conditions: the ratio of high-cloud fraction and low-cloud fraction is smaller than 0.2, with high-cloud fraction < 0.3 and low-cloud fraction > 0.05. Only daytime granule data are included and blocks with sensor zenith angle > 45 and blocks over land are excluded. The variables include: block_low: the name of the low-cloud-dominated block, based on which the location of the chopped block in the granule data can be found. pred_cat: the predicted cloud type of each block. pred_prob: the prediction probability of cloud type lcf: the low-cloud fraction of the low-cloud-dominated block. sensor_zenith: the sensor zenith angle at the center of the low-cloud-dominated block Five latitude and longitude points for the four corners and center of the chopped blocks The DOIs of the related datasets in this project are: MYD_L2_CB_001 DOI: 10.5067/DFDGJR6707D8 MYD_L3_OFLCT_001 DOI: 10.5067/3FAIC739DQRH

Tags: earth-science-clouds-atmosphere, earth-science-clouds-atmosphere-convective-clouds-systems-observed-analyzed-deep-convective-clo
Organization: National Aeronautics and Space Administration
MODIS Aqua L3 occurrence frequency of low-cloud types monthly mean and annual mean 2x2 degree resolution V001 (MYD_L3_OFLCT) at GES DISC

This product is composed of a beta version for a product from the MODerate resolution Imaging Spectrometer (MODIS) on board the Aqua satellite. MODIS Aqua L3 occurrence frequency of low cloud types (OFLCT) is part of our global MODIS Aqua data from the 2017 MEaSUREs project, A Comprehensive Data Record of Marine Low-level and Deep Convective Cloud Systems Using an Object-Oriented Approach. This file provides the aggregated occurrence frequency of low-cloud types for the year 2007 at monthly and annual intervals. The latitude and longitude variables from MYD_L2_CB; and latitude, longitude and pred_cat from MYD_L2_MPLCT were used to calculate the occurrence frequency of six low-cloud types in 2.0° x 2.0° grids for 60°S-60°N and 180°W-180°E. The six low cloud types are Closed-cellular MCC, Clustered Cumulus, Disorganized MCC, Open-cellular MCC, Solid Stratus, and Suppressed Cumulus. The DOIs of the related datasets in this project are: MYD_L2_CB_001 DOI: 10.5067/DFDGJR6707D8 MYD_L2_MPLCT_001 DOI: 10.5067/8TDZURGRLN9I

Tags: earth-science-clouds-atmosphere, earth-science-clouds-atmosphere-convective-clouds-systems-observed-analyzed-deep-convective-clo
Organization: National Aeronautics and Space Administration
MODIS Aqua L2 chopped blocks (block size: 128 pixels x 128 pixels, daytime) V001 (MYD_L2_CB) at GES DISC

This product is composed of a beta version for a product from the MODerate resolution Imaging Spectrometer (MODIS) on board the Aqua satellite. MODIS Aqua L2 chopped blocks (CB) are part of our global MODIS Aqua data from the 2017 MEaSUREs project, A Comprehensive Data Record of Marine Low-level and Deep Convective Cloud Systems Using an Object-Oriented Approach. These data are individual MODIS Aqua granules chopped into small blocks in shape (np_x, np_y), where np_x = 128 pixels and np_y = 128 pixels. This file provides the geolocations of all the chopped blocks in the MODIS Aqua granule data. Only daytime granule data are included and blocks with sensor zenith angle > 45 degrees are excluded. The geolocations for each block consist of five latitude and longitude pairs for its four corners and center with a low cloud flag that indicates whether the chopped block is or is not low cloud dominated. The DOIs of the related datasets of this project are: MYD_L2_MPLCT_001 DOI: 10.5067/8TDZURGRLN9I MYD_L3_OFLCT_001 DOI: 10.5067/3FAIC739DQRH

Tags: earth-science-clouds-atmosphere, earth-science-clouds-atmosphere-convective-clouds-systems-observed-analyzed-deep-convective-clo
Organization: National Aeronautics and Space Administration
MODIS Aqua Level 3 SST MID-IR Annual 4km Nighttime V2019.0

Day and night spatially gridded (L3) global NASA skin sea surface temperature (SST) products from the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Average daily, weekly (8 day), monthly and annual skin SST products at are available at both 4.63 and 9.26 km spatial resolution. Aqua was launched by NASA on May 4, 2002, into a sun synchronous, polar orbit with a daylight ascending node at 13:30, formation flying in the A-train with other Earth Observation Satellites (EOS), to study the global dynamics of the Earth atmosphere, land and oceans. MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night (NSST) observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST derived from heritage and current NASA sensors. At night, a second SST product is generated using the mid-infrared 3.95 and 4.05 micron wavelength channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be used at night. To generate the L3 products the L2 pixels are binned into an integerized sinusoidal area grid (ISEAG) and mapped into an equidistant cylindrical (also known as Platte Carre projection. Additional projection detailed can be found at https://oceancolor.gsfc.nasa.gov/docs/format/ The NASA MODIS L3 SST data products are generated by the NASA Ocean Biology Processing Group (OBPG) and Peter Minnett and his team at the Rosenstiel School of Marine and Atmospheric Science (RSMAS) are responsible for sea surface temperature algorithm development, error statistics and quality flagging. JPL acquires MODIS ocean L3 SST data from the OBPG and is the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous v2014.1 datasets which can be found at https://doi.org/10.5067/MODAM-AN4N4

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
MODIS Aqua Level 3 SST MID-IR Monthly 9km Nighttime V2019.0

Day and night spatially gridded (L3) global NASA skin sea surface temperature (SST) products from the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Average daily, weekly (8 day), monthly and annual skin SST products at are available at both 4.63 and 9.26 km spatial resolution. Aqua was launched by NASA on May 4, 2002, into a sun synchronous, polar orbit with a daylight ascending node at 13:30, formation flying in the A-train with other Earth Observation Satellites (EOS), to study the global dynamics of the Earth atmosphere, land and oceans. MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night (NSST) observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST derived from heritage and current NASA sensors. At night, a second SST product is generated using the mid-infrared 3.95 and 4.05 micron wavelength channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be used at night. To generate the L3 products the L2 pixels are binned into an integerized sinusoidal area grid (ISEAG) and mapped into an equidistant cylindrical (also known as Platte Carre projection. Additional projection detailed can be found at https://oceancolor.gsfc.nasa.gov/docs/format/ The NASA MODIS L3 SST data products are generated by the NASA Ocean Biology Processing Group (OBPG) and Peter Minnett and his team at the Rosenstiel School of Marine and Atmospheric Science (RSMAS) are responsible for sea surface temperature algorithm development, error statistics and quality flagging. JPL acquires MODIS ocean L3 SST data from the OBPG and is the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous v2014.1 datasets which can be found at https://doi.org/10.5067/MODAM-MO9N4

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
MODIS Aqua Level 3 SST Thermal IR 8 Day 4km Daytime V2019.0

Day and night spatially gridded (L3) global NASA skin sea surface temperature (SST) products from the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Average daily, weekly (8 day), monthly and annual skin SST products at are available at both 4.63 and 9.26 km spatial resolution. Aqua was launched by NASA on May 4, 2002, into a sun synchronous, polar orbit with a daylight ascending node at 13:30, formation flying in the A-train with other Earth Observation Satellites (EOS), to study the global dynamics of the Earth atmosphere, land and oceans. MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night (NSST) observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST derived from heritage and current NASA sensors. At night, a second SST product is generated using the mid-infrared 3.95 and 4.05 micron wavelength channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be used at night. To generate the L3 products the L2 pixels are binned into an integerized sinusoidal area grid (ISEAG) and mapped into an equidistant cylindrical (also known as Platte Carre projection. Additional projection detailed can be found at https://oceancolor.gsfc.nasa.gov/docs/format/ The NASA MODIS L3 SST data products are generated by the NASA Ocean Biology Processing Group (OBPG) and Peter Minnett and his team at the Rosenstiel School of Marine and Atmospheric Science (RSMAS) are responsible for sea surface temperature algorithm development, error statistics and quality flagging. JPL acquires MODIS ocean L3 SST data from the OBPG and is the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous v2014.1 datasets which can be found at https://doi.org/10.5067/MODSA-8D4D4

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
MODIS Aqua Level 3 SST MID-IR Daily 9km Nighttime V2019.0

Day and night spatially gridded (L3) global NASA skin sea surface temperature (SST) products from the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Average daily, weekly (8 day), monthly and annual skin SST products at are available at both 4.63 and 9.26 km spatial resolution. Aqua was launched by NASA on May 4, 2002, into a sun synchronous, polar orbit with a daylight ascending node at 13:30, formation flying in the A-train with other Earth Observation Satellites (EOS), to study the global dynamics of the Earth atmosphere, land and oceans. MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night (NSST) observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST derived from heritage and current NASA sensors. At night, a second SST product is generated using the mid-infrared 3.95 and 4.05 micron wavelength channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be used at night. To generate the L3 products the L2 pixels are binned into an integerized sinusoidal area grid (ISEAG) and mapped into an equidistant cylindrical (also known as Platte Carre projection. Additional projection detailed can be found at https://oceancolor.gsfc.nasa.gov/docs/format/ The NASA MODIS L3 SST data products are generated by the NASA Ocean Biology Processing Group (OBPG) and Peter Minnett and his team at the Rosenstiel School of Marine and Atmospheric Science (RSMAS) are responsible for sea surface temperature algorithm development, error statistics and quality flagging. JPL acquires MODIS ocean L3 SST data from the OBPG and is the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous v2014.1 datasets which can be found at https://doi.org/10.5067/MODAM-1D9N4

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration