cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7289/v5sf2t7j
title: Radiosonde Atmospheric Temperature Products for Assessing Climate (RATPAC), Version 2

description: The Radiosonde Atmospheric Temperature Products for Assessing Climate (RATPAC) consist of time series of radiosonde-based temperature anomalies for the years 1958-present in which the temporal inhomogeneities resulting from changes in instruments and observing practices have been reduced to the extent possible. Developed through a collaborative effort involving NOAA scientists from the Air Resources Laboratory, the Geophysical Fluid Dynamics Laboratory, and NCEI, the RATPAC time series are based on data from 85 stations distributed around global land areas and are available on 13 atmospheric pressure levels: the surface, 850, 700, 500, 400, 300, 250, 200, 150, 100, 70, 50, and 30 hPa. Two sub-products, RATPAC-A and RATPAC-B, were derived using different approaches to meet this need based largely in part on the Temporal Homogenization of Monthly Radiosonde Temperature Data (LKS) bias-adjusted dataset. RATPAC-A contains adjusted global, hemispheric, tropical, and extratropical mean temperature anomalies. From 1958 through 1995, the bases of the data are on spatial averages of LKS adjusted 87-station temperature data. After 1995, they are based on the Integrated Global Radiosonde Archive (IGRA) station data, combined using a first difference method. RATPAC-B contains data for individual stations as well as large-scale arithmetic averages corresponding to areas used for RATPAC-A. The station data consist of adjusted data produced by LKS for the period 1958-1997 and unadjusted data from IGRA after 1997. The regional mean time series in RATPAC-B are based on arithmetic averaging of these station data, rather than the first difference method used to create RATPAC-A. The difference between this version and the original version of RATPAC is that the IGRA component of Version 2 is taken from IGRA v2 rather than IGRA v1.
DOI: 10.7289/v53r0qxd
title: NOAA Climate Data Record (CDR) of Advanced Microwave Sounding Unit (AMSU)-A Brightness Temperature, Version 1

description: The NOAA Climate Data Record (CDR) for Advanced Microwave Sounding Unit-A (AMSU-A) brightness temperature in "window channels". The data cover a time period from 1998 to 2015 with preliminary data starting in 2016, updated monthly, at roughly a 48km resolution over the entire globe with 30 observations per scan, using channels 23, 31, 50, 89 GHz. The AMSU-A sensor is flown on NOAA-15, -16, -17, -18, -19 and MetOp-A satellites. Visual inspections and verification of the various corrections were applied to the data to improve data accuracy.
DOI: 10.7289/v5ns0rwp
title: Sudden Stratospheric Warming Compendium

description: Sudden Stratospheric Warming Compendium (SSWC) data set documents the stratospheric, tropospheric, and surface climate impacts of sudden stratospheric warmings. This examines major mid-winter warmings, as defined by a reversal between November-March of the zonal winds at 10 hPa and 60N from westerly to easterly. The one major warming that occurred in the Southern Hemisphere is also included. Analyses are available from 6 different reanalyses: MERRA2 (1980-2014), JRA-55 (1958-2014), ERA-interim (1979-2014), ERA-40 (1958-2002), NOAA20CR (1958-2011), and NCEP-NCAR I (1958-2014). Global gridded anomaly fields are calculated from smoothed daily climatologies based on the full record of each reanalysis. Data is provided 60 days prior to and after each SSW event. Pressure-level fields include winds, temperatures, geopotential heights, vorticity and potential vorticity, and ozone; surface fields include temperatures, sea-level pressures, and precipitation. Other derived data and climate indices are also included. Data are provided as daily means, with 2.5x2.5 degree horizontal resolution for pressure-level fields and native horizontal resolution for surface fields. Daily climatological means and standard deviations of all input fields are included with the output.
DOI: 10.7289/v5dr2shd
title: Ground-Based Global Positioning System (GPS) Meteorology Integrated Precipitable Water Vapor (IPW)

description: The Ground-Based Global Positioning System (GPS) Meteorology Integrated Precipitable Water Vapor (IPW) data set measures atmospheric water vapor using ground-based GPS receivers. The data contain observations from several hundred locations around the globe every 30 minutes from 2002-05-01 to 2016-11-28. However, most locations lie within the continental United States. The data set was formed in response to the need for improved moisture observations to support weather forecasting, climate monitoring, and research. The data set contains total precipitable water estimates, GPS total signal delay, GPS hydrostatic signal delay, GPS wet signal delay, surface temperature, surface pressure, mean-weighted surface temperature, and the wet delay mapping function. The GPS-IPW network processes data from both NOAA and other agency CORS (Continuously Operating Reference Sites) sites. All sites are equipped with a GPS receiver and many are equipped with a surface meteorological instrumentation package. GPS satellite observation are combined with GPS satellite orbit and earth orientation parameters to estimate GPS signal delay (Zenith Total Delay -- ZTD). Signal delays are then combined with surface meteorological information are used to estimate total precipitable water. For sites without surface meteorology sensors, data from nearby ASOS (Automated Surface Observing System) systems were used. Data set variables and their resolution: total precipitable water; 0.001 m, GPS total signal delay; 0.001m, GPS hydrostatic signal delay; 0.001m, GPS wet signal delay; 0.001m, surface temperature; 0.1 K, surface pressure; 0.1 hpa, mean-weighted surface temperature; 0.1 K, wet delay mapping function; 0.1 (dimensionless). Late updated in November 2016 with no plans for updating at this time due to funding.
DOI: 10.7289/v5nv9g8d
title: Enhanced Master Station History Report

description: The Enhanced Master Station History Report (EMSHR) is a compiled list of basic, historical information for every station in the station history database, beginning in the 1700s through the present. The Enhanced MSHR version contains similar data elements and is in a similar format as the Standard/Legacy MSHR (DSI-9767_01), but the Enhanced MSHR includes additional stations that are included in the Global Historical Climatology Network (GHCN)-Daily product. Also, the Enhanced MSHR incorporates additional station networks, including international stations/networks. The Enhanced MSHR contains an expanded number of items to the original MSHR, such as station status, additional IDs, alternate station names, NWS region, NWS Weather Forecast Office (WFO), all elevations, latitude/longitude precision, and UTC offset.
DOI: 10.15468/dl.8kus3e
title: Occurrence Download

description: A dataset containing 12339 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Tetragonia tetragonoides (Pall.) Kuntze)"
 ]
}

 The dataset includes 12339 records from 325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020317-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5n58jdr
title: Ponce, Puerto Rico Tsunami Forecast Grids for MOST Model

description: The Ponce, Puerto Rico Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 47.2 arc-sec in x direction. 45 arc-sec in y direction. B Grid Resolution: 12 arc-sec. C Grid Resolution: 1 arc-sec.
DOI: 10.7289/v5hd7sp1
title: Port Alexander, Alaska Tsunami Forecast Grids for MOST Model

description: The Port Alexander, Alaska Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 90 arc-sec. B Grid Resolution: 18 arc-sec. C Grid Resolution: 1 arc-sec in the x direction. 1.5 arc-sec in the y direction.
DOI: 10.7289/v5wm1bfq
title: Pago Pago, American Samoa Tsunami Forecast Grids for MOST Model

description: The Pago Pago, American Samoa Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 60 arc-sec. B Grid Resolution: 12 arc-sec. C Grid Resolution: 1.2 arc-sec.
DOI: 10.7289/v5dn433g
title: Neah Bay, Washington Tsunami Forecast Grids for MOST Model

description: The Neah Bay, Washington Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 72 arc-sec. B Grid Resolution: 24 arc sec in the x direction. 12 arc-sec in the y direction. C Grid Resolution: 1 arc-sec in the x direction. 0.5 arc sec in the y direction.
DOI: 10.15468/dl.2u2846
title: Occurrence Download

description: A dataset containing 4097 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Aeonium arboreum (L.) Webb & Berthel.)"
 ]
}

 The dataset includes 4097 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020319-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5st7mvt
title: Morehead City, North Carolina Tsunami Forecast Grids for MOST Model

description: The Morehead City, North Carolina Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 23.9781 arc-sec in x direction. 24.0178 arc-sec in y direction. B Grid Resolution: 8 arc-sec in the x direction. 7.9936 arc-sec in the y direction. C Grid Resolution: 3 arc-sec.
DOI: 10.7289/v52b8w1d
title: Montauk, New York Tsunami Forecast Grids for MOST Model

description: The Montauk, New York Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 48 arc-sec. B Grid Resolution: 18 arc-sec. C Grid Resolution: 6 arc-sec.
DOI: 10.7289/v5p55khp
title: Myrtle Beach, South Carolina Tsunami Forecast Grids for MOST Model

description: The Myrtle Beach, South Carolina Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 72 arc-sec. B Grid Resolution: 9 arc-sec. C Grid Resolution: 3 arc-sec.
DOI: 10.7289/v5639mrq
title: Mayaguez, Puerto Rico Tsunami Forecast Grids for MOST Model

description: The Mayaguez, Puerto Rico Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 47.2 arc-sec in x direction. 44.8 arc-sec in y direction. B Grid Resolution: 20.9 arc-sec in the x direction. 20.8 arc sec in the y direction. C Grid Resolution: 3 arc-sec.
DOI: 10.7289/v5xk8cj3
title: Monterey, California Tsunami Forecast Grids for MOST Model

description: The Monterey, California Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 120 arc-sec. B Grid Resolution: 18 arc-sec. C Grid Resolution: 2 arc-sec in the x direction. 1 arc-sec in the y direction.
DOI: 10.7289/v5jd4ttd
title: Nawiliwili, Hawaii Tsunami Forecast Grids for MOST Model

description: The Nawiliwili, Hawaii Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 66 arc-sec in the x direction. 60 arc sec in the y direction. B Grid Resolution: 6.4 arc-sec in the x direction. 6 arc-sec in the y direction. C Grid Resolution: 1.4 arc-sec in the x direction. 1.3 arc-sec in the y direction.
DOI: 10.7289/v5kd1vxb
title: Kodiak, Alaska Tsunami Forecast Grids for MOST Model

description: The Kodiak, Alaska Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 96 arc-sec in the x direction. 48 arc-sec in the y direction. B Grid Resolution: arc-sec. C Grid Resolution: 2/3 arc-sec.
DOI: 10.7289/v59w0ch4
title: Los Angeles, California Tsunami Forecast Grids for MOST Model

description: The Los Angeles, California Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 120 arc-sec. B Grid Resolution: 12 arc-sec. C Grid Resolution: 1.3 arc-sec in the x direction. 1.2 arc-sec in the y direction.
DOI: 10.7289/v5q23x86
title: King Cove, Alaska Tsunami Forecast Grids for MOST Model

description: The King Cove, Alaska Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 36 arc-sec. B Grid Resolution: 12 arc-sec. C Grid Resolution: 2/3 arc-sec.
DOI: 10.7289/v5fn147v
title: Lahaina, Hawaii Tsunami Forecast Grids for MOST Model

description: The Lahaina, Hawaii Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 120 arc-sec. B Grid Resolution: 12 arc-sec. C Grid Resolution: 2/3 to 2 arc-sec.
DOI: 10.7289/v5bv7dnz
title: Homer, Alaska Tsunami Forecast Grids for MOST Model

description: The Homer, Alaska Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 72 arc sec. B Grid Resolution: 12 arc-sec. C Grid Resolution: 1.5 arc sec.
DOI: 10.7289/v5tt4nzr
title: Keauhou, Hawaii Tsunami Forecast Grids for MOST Model

description: The Keauhou, Hawaii Forecast Model Grids provides bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land. A Grid Resolution: 120 arc-sec. B Grid Resolution: 6 arc-sec. C Grid Resolution: 1 arc-sec.