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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,091 datasets
Said Khoudiri's dataset on figshare provides mean output power and capacity factor for offshore wind turbines in Algeria. It contains results from a multi-source workflow combining ERA5 reanalysis, Global Wind Atlas, and Copernicus Marine Service data. The data was last updated on 2026-05-14.
Algeria's offshore wind energy potential is assessed using a multi-source workflow. The dataset contains derived atmospheric parameters, including shear exponent values, for candidate offshore zones, using multi-year ERA5 reanalysis data from 2019-2021. It was created by Said Khoudiri and published on figshare under a CC-BY-4.0 license.
A 5.5 KB Excel dataset applies a multi-source workflow to rank offshore wind zones in Algeria. The case study combines Global Wind Atlas maps, ERA5 reanalysis, and Copernicus Marine Service data to compute turbine-level performance metrics. Said Khoudiri authored this dataset, last updated on May 14, 2026.
From May 1 to June 12, 2014, this dataset contains browse images of base reflectivity observations from the KLTX NEXRAD radar during the Integrated Precipitation and Hydrology Experiment (IPHEx). The data supports ground validation for the Global Precipitation Measurement (GPM) mission and evaluation of Quantitative Precipitation Estimation products. It provides information on the amount and size distribution of water particles in the atmosphere over the southeastern United States.
Fifteen research flights totaling 42.6 hours collected this in-situ atmospheric data during the 2011 Midlatitude Continental Convective Clouds Experiment (MC3E). The University of North Dakota Cessna Citation aircraft carried instruments measuring cloud microphysics, aerosols, three-dimensional winds, turbulence, and atmospheric state parameters. Raw instrument files and processed particle spectra are archived separately, supporting custom analysis.
Radar images contain base reflectivity observations from the KGSP NEXRAD system during the Integrated Precipitation and Hydrology Experiment (IPHEx). The dataset supports ground validation for the Global Precipitation Measurement mission and evaluation of precipitation estimation products. Data was collected from May 1 to June 12, 2014, in the southeastern United States.
160 stationary S-Band radars form the NEXRAD network, with this dataset containing browse images from the KMHX site. These PNG images of base reflectivity observations were collected from May 1, 2014 through June 12, 2014 to support the Global Precipitation Measurement mission's ground validation. The data was generated by NASA for the Integrated Precipitation and Hydrology Experiment in the southeastern United States.
NASA's NPOL S-band Doppler radar collected nearly continuous data from April 11 to June 3, 2011, during the Midlatitude Continental Convective Clouds Experiment. The dataset provides high-resolution vertical structure sampling via Range Height Indicator scans every 40 seconds. Additional processing with the Colorado State University Hydrometeor Identification Algorithm classifies precipitation types like rain, hail, and graupel.
August 17 to September 4, 2021 data from the High Altitude MMIC Sounding Radiometer (HAMSR) instrument, collected during the NASA/ESA Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. The dataset provides 25 spectral channel measurements across three bands, enabling inference of 3D atmospheric profiles for temperature, water vapor, and cloud liquid water from the NASA Global Hawk aircraft. It supports calibration and validation activities for the ADM-AEOLUS wind Lidar satellite.
OMI/Aura Level 1B VIS Zoom-in Geolocated Earthshine Radiances (OML1BRVZ) Version-3 contains geo-located spectral radiance measurements from the Ozone Monitoring Instrument's visible light detectors. Data is collected in a special zoom-in mode, providing 60 ground pixels per swath with a resolution of 13 km x 24 km at nadir across a wavelength range of 349 to 504 nm. Files are stored in HDF-EOS format, with radiance values encoded as a 16-bit mantissa and 8-bit exponent.
Over 2600 global sites are represented in the source CPEP compilation, from which this dataset extracts a subset for southern Africa. It provides monthly mean river discharge in cubic meters per second, compiled from sources including RivDis 2.0, USGS, and the Brazilian National Department of Water and Electrical Energy. The data excludes stations with less than 3 years of record or basin areas under 5000 km².
Global precipitation data from 40 degrees south to 40 degrees north latitude provides monthly best-estimate precipitation rates and root-mean-square error. The dataset combines satellite-based infrared estimates with rain gauge analyses from CAMS and GPCC. It covers the years 1999, 2000, and 2001 at a 1-degree by 1-degree spatial resolution.
Official government rainfall records for Mongu, Zambia, were collected using a British standard 5-inch rain gauge. Daily totals in millimeters were recorded each morning at 06:00 GMT by Zambia Meteorological Department staff. The data, covering multiple years, are structured as monthly columns with daily and monthly totals across three annual files.
Late Cretaceous to Cenozoic (approximately 83-65 Ma to present) sedimentary data from the Australian-Antarctic Basin. The dataset collates seismic reflection profiles and offshore drilling data to develop a consistent stratigraphic framework across the conjugate margins. It was made available by the Australian Ocean Data Network and last updated in June 2026.
VEMAP 1 provides climate change scenarios for the United States based on eight model experiments, including seven global atmospheric general circulation models and one nested regional climate model. The dataset focuses on the response of biogeography and biogeochemistry to environmental variability, with scenarios derived from 1xCO2 and 2xCO2 equilibrium runs. It is an ongoing multi-institutional, international project led by NASA, with data spatially interpolated to a 0.5-degree grid.
A Holocene sea-level history constructed for north-east Spencer Gulf shows a relative fall from a peak 6000-4000 years B.P. Beach ridge elevations range from +1.1 m to +1.8 m A.H.D., and the upper limit of Posidonia sea-grass growth is below -2 m A.H.D. This dataset from the Australian Ocean Data Network includes precise measurements of intertidal environments and 14C dating of mollusc shells and sea-grass root fibres.
WNA-FLEXPART-BackTraj-2018 provides backward simulations of airmass transport over Western North America using the FLEXPART Lagrangian particle dispersion model. The dataset calculates 15-day source-receptor relationships at hourly and 1° x 1° spatial resolution from the surface to 20 km altitude, driven by ERA5 reanalysis data. It supports analysis of source contributions to ozone and other atmospheric components observed from 1994 to 2021.
Western North America (WNA) airmass transport simulations from 1994 to 2021, generated using the FLEXPART Lagrangian particle dispersion model driven by ERA5 reanalysis data. The dataset provides 15-day backward source-receptor relationships at hourly temporal and 1° x 1° spatial resolution, from the surface to 20 km altitude, to analyze contributions to ozone observations. It supports analysis of source contributions for ozone and potentially other atmospheric components across diurnal, seasonal, and decadal scales.
FLEXPART dispersion model simulations provide 15-day backward trajectories for air masses arriving at ozone observation points across Western North America. Driven by ERA5 reanalysis, this 2010 dataset offers hourly, global simulations at 1° x 1° spatial resolution from the surface to 20 km altitude. The data links source regions and atmospheric layers to downwind ozone measurements, supporting analysis of pollution transport over nearly three decades.
WNA-FLEXPART-BackTraj-2020 is a NASA-generated dataset of 15-day backward air mass trajectories for Western North America, using the FLEXPART dispersion model driven by ERA5 reanalysis. It provides hourly, global simulations at 1° x 1° resolution from the surface to 20 km altitude, designed to establish source-receptor relationships for tropospheric ozone observations from 1994-2021. The dataset supports analysis of source contributions to ozone across diurnal, seasonal, and decadal timescales.