cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/zpsb-ps82
title: Multi-decadal historical regional hydroclimate simulation with two mid 21st century Pseudo-Global Warming futures over Alaska and the Yukon at 4 km resolution

description: Hydroclimate and terrestrial hydrology greatly influence the local communities, ecosystems, and economies across Alaska and Yukon River Basin. Therefore, we utilized the Regional Arctic Systems Model (RASM) to model the coupled land-atmosphere, and generated a climate and hydrology dataset at 4-km grid spacing to improve our understanding of the regional hydroclimate and terrestrial hydrology. Our model domain encompasses all of the U.S. State of Alaska, the entire Yukon River Basin, part of Western Canada, and the eastern coastal region of Russia. This dataset includes 1) one simulation of the historical climate (Water Years 1991-2021), which serves as a benchmark for climate change studies, and 2) two future simulations (Equivalent Water Years 2035-2065) using the Pseudo-Global Warming method under future greenhouse gas emission scenario SSP2-4.5. The two future scenarios represent median and high changes derived from ensemble means across different Global Climate Models in the Coupled Model Intercomparison Project Phase 6 within SSP2-4.5 respectively. The microphysics schemes in the Weather Research and Forecast (WRF) atmospheric model were manually tuned for optimal model performance. The land component in RASM was replaced using the Community Terrestrial Systems Model (CTSM) given its comprehensive process representations for cold regions. We conducted optimization for uncoupled CTSM to improve its performance in terrestrial hydrologic simulations, especially streamflow and snow (Cheng et al., 2023). In order to maintain the quality for both hydroclimate and terrestrial hydrologic simulation, we implemented a strategy of iterative testing and re-optimization of CTSM. This dataset was then generated using RASM with optimized CTSM parameters and manually tuned WRF microphysics. The historical simulation was evaluated against multiple observational datasets for five key weather variables and hydrologic fluxes, including precipitation, air temperature, snow fraction, evaporation-to-precipitation ratios, and streamflow. The evaluation details can be found in Cheng et al. (2024).
DOI: 10.5065/karj-0e19
title: Ensemble Dressing of North American Land Data Assimilation version 2 (EDN2)

description: Most datasets of surface meteorology are deterministic, yet many applications using these datasets require or can benefit from uncertainty estimates in meteorological fields. Motivated by this gap, we applied a locally-weighted spatial regression technique with the widely-used North American Land Data Assimilation version 2 (NLDAS-2) dataset values to generate ensemble estimates for daily precipitation, daily mean temperature, and diurnal temperature range. The approach is a form of ensemble dressing. This uncertainty dataset and methods from this work are made publicly available to support research such a data assimilation or model uncertainty studies.The dataset includes a 100-member ensemble for daily precipitation, temperature and diurnal temperature range at 1/8th degree for the NLDAS-2 domain (25 to 53 North, 125 to 67 West), for the time period 1979-2019. It also includes the spatial regression coefficients and other inputs needed to run the Gridded Meteorological Ensemble Tool (GMET) used to generate the ensembles. A limited number of summary statistical analyses of the dataset are also included.
DOI: 10.5065/49sn-8e08
title: CONUS (Continental U.S.) II High Resolution Present and Future Climate Simulation

description: The CONUS II simulations aim to partially address both the need to capture inherent climate internal variability and greenhouse gas induced atmospheric variability by using the mean of the CMIP5 model for both present and historical mean climate as the CONUS boundary forcing. This forcing is applied to a 4km horizontal resolution Weather Research and Forecasting (WRF) model to produce a mesoscale hydro-climate of two 20-year runs covering a current period from 1996-2015 and a future period from 2080-2099 over the CONUS domain.The characteristics of these simulations are: 1) more realistic depiction of the mesoscale terrain features, critical to the successful simulation of mountainous precipitation, 2) the ability to realistically simulate the major summer precipitation producer in the central U.S. without the need of conventional cumulus parameterizations.
DOI: 10.5065/d6v40sxp
title: High Resolution WRF Simulations of the Current and Future Climate of North America

description: Note: d559000 Four-kilometer long-term regional hydroclimate reanalysis over the conterminous United States (CONUS) has superseded this dataset.The dataset is from a high resolution climate change simulation that permits convection and resolves mesoscale orography at 4 km grid spacing over much of North America using the Weather Research and Forecasting (WRF) model. Two 13 years simulations were performed, consisting of a retrospective simulation (October 2000 to September 2013) with initial and boundary conditions from ERA-Interim and a future climate sensitivity simulation with initial and boundary conditions derived from reanalysis and modified by adding the CMIP5 ensemble mean of the high emission scenario climate change.
DOI: 10.5065/gd8e-v188
title: ALPEX Dropwindsondes, spring 1982

description: Dropwindsonde data from the ALPine EXperiment (ALPEX) in the Spring of 1982 are available from this dataset, which includes post-processed and 10-second data.
DOI: 10.5065/c5zf-7a77
title: FGGE Dropwindsondes, 1978Dec-1979Jul (from Shea)

description: This dataset contains dropwindsonde data from the First GARP Global Experiment (FGGE) Special Observation Periods 1 (December 7, 1978 to February 26, 1979) and 2 (May 6, 1979 to July 25, 1979).
DOI: 10.5065/zkhs-ta07
title: GCIP Canadian Meteorological Centre (CMC) GEM model output,

description: The CMC GEM (replacement of RFE) model outputs for GCIP project.
DOI: 10.5065/1h6z-g354
title: GCIP NCEP Eta model output

description: The operational NCEP Eta 212 grid (40 km) model output is archived in this dataset from April 30, 1995 to December 31, 2012. This is one of the model output archives for GCIP project. In addition to the Model Output Reduced Data Set (MORDS) and Model Output Location Time Series (MOLTS) analyses required by GCIP project, all upper air levels and their analyses, initialization, and forecasts are saved as well. As NCEP replaced NAM Eta model on June 13, 2006, EMC/NCEP has continued making Eta runs which are archived here until the end of 2012.Starting from January 1, 2013, NCEP's operational NAM (40 km, grid 212) 6-hourly analysis and 3-hourly forecasts up to 60 hours are archived. NCEP uses a version of WRF model for NAM production.
DOI: 10.5065/4kk4-9361
title: GCIP FSL MAPS MORDS and MOLTS data, hourly.

description: The NOAA FSL MAPS model data (including Model Output Reduced Data Set (MORDS) and Model Location Time Series (MOLTS) data) for the GCIP project. The MAPS model used for GCIP is an advanced, experimental version which is running on a 40 km grid with 40 vertical isentropic-sigma levels. Data are ingested into MAPS on a 1-hour assimilation cycle. Forecasts are run from MAPS out to 12-hour every 3 hours.
DOI: 10.15468/dl.5q4cbu
title: Occurrence Download

description: A dataset containing 22045 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = 'cf3bdc30-370c-48d3-8fff-b587a39d72d6'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 22045 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012465-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/g4rc-1n91
title: NCEP North American Mesoscale (NAM) 12 km Analysis

description: WRF Non Hydrostatic Mesoscale Model is used at NCEP to produce different mesoscale analysis products over North America. The analysis output archived here is over continental United States at 12 km spatial resolution every 6 hours.
DOI: 10.5065/1sjk-y197
title: Monthly Discharges for Rivers and Streams of the former Soviet Union

description: Monthly river flow rates for Russia and former Soviet Union countries in RDA dataset ds553.1 are augmented with data from the Russian State Hydrological Institute (RSHI) and a few sites from the Global Hydroclimatic Data Network (GHCDN) . This compendium (v1.1 September 2001) includes 2458 gauges spanning all major river and oceanographic basins of the entire former Soviet Union. Exact dates vary by station. Records are generally long: mean length is 36.3 years and 1724 (70%) gauges have 25 or more years of data. 1373 gauges have data to 1985 and another 909 gauges also have some data from 1986-1995. 640 gauges represent watersheds of 10000 or more square kilometers, and 1055 gauges represent catchments of 1000-9999 square kilometers. The RSHI data additions have not been scrutinized as rigorously as for those in ds553.1.
DOI: 10.5065/d6v69h1t
title: Dai and Trenberth Global River Flow and Continental Discharge Dataset

description: This dataset contains time series of all available monthly river flow rates observed at the farthest downstream station for the world's largest 925 rivers, plus long-term mean river flow rates and continental discharge into the individual and global oceans, produced originally by Dai and Trenberth (2002, JHM) and Dai et al. (2009, Journal of Climate), and updated by Dai (2016, AGU Monograph 221) and Dai (2021, Climate Dynamics).
DOI: 10.5065/c5ct-fj66
title: Add-on Data for the ICOADS Value-Added Database (IVAD)

description: This dataset contains original community-based contributions that are added onto ICOADS records as part of the ICOADS Value-added Database project. These contributions were first added to ICOADS beginning with Release 3.0.0 and are realized as separate attachments in the IMMA format, e.g. reanalysis feed back and QC, bias adjustment for wind and SST, and etc. In general, these data are NOT recommended for the average data user.
DOI: 10.5065/d6v40sfd
title: International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 3, Monthly Summaries

description: The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) is a global ocean marine meteorological and surface ocean dataset. It is formed by merging many national and international data sources that contain measurements and visual observations from ships (merchant, navy, research), moored and drifting buoys, coastal stations, and other marine platforms. The coverage is global and sampling density varies depending on date and geographic position relative to shipping routes and ocean observing systems. The monthly summary time series are available at 2-degree (since 1800) and 1-degree (since 1960) spatial resolutions. Observations (22 observed and computed parameters) taken in each month for a give spatial latitude by longitude box are statistically summarized (e.g. mean, median, number of observations, etc) and NOT interpolated or analyzed to fill data voids.
DOI: 10.5065/derp-5c50
title: Woods Hole Position Lotus Current Meter

description: Long time series of current meter data from 34N 70W in the North Atlantic, position designation Lotus, by WHOI
DOI: 10.5065/15vc-pk75
title: URI Gulf Stream Crest Anatomy Hydrographic Survey - Fall 1988

description: 92 CTD oceanographic stations were collected to describe the crest of a Gulf Stream meander during 1988
DOI: 10.5065/pxcg-1n30
title: Woods Hole Hydrographic Data from Warm Core Ring 1982-B

description: Observed ocean data taken on three separate surveys of a warm core ring north of the Gulf Stream during 1982
DOI: 10.5065/nkm5-1929
title: Woods Hole North Atlantic Transient Tracers in the Ocean data.

description: North Atlantic transient tracer profiles (tritium, helium-3, temperature, salinity, etc).
DOI: 10.5065/tstr-5v57
title: NODC Selected Level Expendable Bathythermograph (SBT) Data

description: Expendable bathythermograph profiles at selected depth levels - instead of inflection points, or 5 meter intervals
DOI: 10.5065/636y-pe83
title: NODC Processed CTD and STD Data

description: The National Oceanographic Data Center processed data from sensors and oceanographic stations into a standard ocean data format known as the C022 Low-resolution data format.
DOI: 10.5065/mpb2-wx33
title: NODC Oceanographic Station Data

description: The National Oceanographic Data Center (NODC) provided world-wide cruise data for input to the International Comprehensive Ocean-Atmosphere Dataset (ICOADS). The data include temperature, salinity, and nutrients. A near-surface subset has also been extracted from the NODC data.
DOI: 10.5065/7yme-rs10
title: NODC Oceanographic Mechanical Bathythermograph Data

description: This dataset contains vertical temperature profiles of the upper layer of the global ocean from mechanical bathythermographs.
DOI: 10.5065/0ckj-2a98
title: NODC Oceanographic Expendable Bathythermograph Data

description: This dataset contains vertical temperature profiles of the upper layer of the global ocean from expendable bathythermographs.
DOI: 10.5065/5n87-6n58
title: Ship data digitized in China, GODAR project

description: As part of the GODAR (Global Ocean Data Archeology and Rescue) surface marine ship data were digitized in China. The data were received from NCDC on CDROM.
DOI: 10.5065/6mea-3271
title: Global Ocean Precipitation Frequency and Characteristics, by Petty

description: Grant Petty used the present-weather code values from COADS shipboard reports (1958-1991) to evaluate the frequencies and characteristics of global oceanic precipitation.
DOI: 10.5065/4g2d-vk37
title: An Atlas Based on the 'COADS' Data Set: Fields of Mean Wind, Cloudiness and Humidity at the Surface of the Global Ocean

description: Monthly global grids of data, derived fluxes, and anomalies were prepared from the COADS data.
DOI: 10.5065/5138-1q72
title: GTS, SEAS, keyed, VOSClim And GCC Marine Surface Data from NCDC and NOCS

description: Marine surface data (ship observation, moored buoys, etc) are segregated from the GTS data stream at NCDC. The GTS records are encoded into IMMA format and collected into monthly files. The primary use of these data are input and cross-check referencing with other ICOADS data sources.
DOI: 10.5065/e36c-3839
title: VOSCLIM Met Office GTS data

description: The GTS data stream from the VOSCLIM project ships. The BUFR formatted records are received from the UK Met Office. These data are primarily for the development of the ICOADS database.
DOI: 10.15468/dl.2dqpvn
title: Occurrence Download

description: A dataset containing 4989 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carduus crispus, Carduus crispus, Carduus crispus, Carduus crispus, Carduus crispus)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 4989 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012475-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5065/d6h70csv
title: International Comprehensive Ocean-Atmosphere Data Set (ICOADS) Release 2.5, Individual Observations

description: This dataset is superseded by ICOADS Release 3, Individual Observations [https://rda.ucar.edu/datasets/ds548.0/].The International Comprehensive Ocean-Atmosphere Data Set (ICOADS) is a global ocean marine meteorological and surface ocean dataset. It is formed by merging many national and international data sources that contain measurements and visual observations from ships (merchant, navy, research), moored and drifting buoys, coastal stations, and other marine platforms. Each report contains individual observations of meteorological and oceanographic variables, such as sea surface and air temperatures, wind, pressure, humidity, and cloudiness. The coverage is global and sampling density varies depending on date and geographic position relative to shipping routes and ocean observing systems.All three U.S. ICOADS partners (NOAA/ESRL, NOAA/NCDC, NCAR) offer various data access and format options. To review all available options see the ICOADS website [http://icoads.noaa.gov/products.html].IMPORTANT: The time period of data available is defined in two segments. * ICOADS Release 2.5 covers 1662 through 2007 * All data following the Release 2.5 end date is based exclusively on real-time GTS data with minimal quality control. These data should be considered preliminary and will be subject to change in new Releases of ICOADS
DOI: 10.5065/q54h-3r61
title: OldWeather3 Marine Data for ICOADS Input

description: This dataset contains marine observations collected from the OldWeather.org [https://www.oldweather.org/] citizen science project, and is contributed by L. Spencer et al. This is a supplemental dataset to RDA Dataset ds539.5 - ICOADS Input Data Sources [https://rda.ucar.edu/datasets/ds539.5/] that contains auxiliary, preliminary, and other datasets that are in preparation to be included in a future ICOADS release. The records in this dataset have been included as input to the 20th Century Reanalysis version 3.
DOI: 10.5065/549q-3g69
title: ICOADS Input Data Sources

description: This dataset contains auxiliary, preliminary, and other datasets that are in preparation to be included in a future ICOADS release. Data are provided either in IMMA1 or native (non-IMMA1) format. It also contains datasets in IMMA1 and non-IMMA1 formats that have transitioned into ICOADS. This dataset was created in 2018 in conjunction with the completion of Release 3.0 and efforts going forward - it is not a complete collection of inputs for ICOADS beginning with Release 1. The purpose of this dataset is to provide a common archive point for data exchange with ICOADS researchers and track the provenance as input data sources are added to official releases. These sources are not recommended for general public use. If source data are archived in a different independent RDA dataset, those data are not duplicated in this dataset, but will be referenced with a "Related RDA Dataset" link, e.g. DS285.0 is the World Ocean Database in a non-IMMA1 format provided by NCEI.
DOI: 10.5065/n2wr-eg09
title: Ocean Station Vessel Observations

description: Surface observations, some XBT profiles, and some subsurface station data from permanent observing ocean ships. Earliest data is 1945 and latest data is 1991. Added in June 2006 are station and line P profile data extracted from WOD05.
DOI: 10.5065/zd5y-gf87
title: Ship Observations from the JMA Kobe Collection

description: Ship logbook data digitized from the Kobe collection, by programs sponsored by the Japanese Meteorological Agency (JMA), and the Nippon Foundation.
DOI: 10.5065/hwg3-g090
title: Marine surface meteorological and actinometric observations from Russian Research Vessels

description: Meteorological and actinometric (radiation) observations made aboard Russian Research Vessels were digitized from cruise reports and logbooks at the All-Russia Research Institute of Hydrometeorological Information (RIHMI). The data cover 1937-2000 with the large majority in 1970-1992. There were 3753 documents (logbooks) with meteorological observations and 1125 documents with actinometric observations digitized. This work was support by a NSF grant.
DOI: 10.5065/yd5k-1535
title: MARMET and other marine surface observations from Russia

description: As part of international data exchanges this large ship observations archive has been provide to NCAR as a source for inclusion into COADS.
DOI: 10.5065/axne-2g08
title: ICOADS Auxiliary and Future Datasets

description: Auxiliary, preliminary, and other datasets that are to be included in ICOADS at a future time. Various format are used. We do not recommend general public use of these data. This is primarily a data exchange archive point for ICOADS researchers.
DOI: 10.5065/bmfb-b492
title: FSU COAPS Research Vessel Data

description: The Center for Ocean-Atmosphere Prediction Studies (COAPS [http://coaps.fsu.edu/]) through their Research Vessel Surface Meteorology Data Center (RVSMDC [http://coaps.fsu.edu/RVSMDC/]) collect, quality control check, and archive high-resolution marine surface data taken aboard ocean research vessels. The measurements are made with modern and calibrated instrument packages with sampling on the order of one-minute frequency. This is a long-term archive for these data. These data and near real-time extensions can be obtained directly from the RVSMDC.To support the International Comprehensive Ocean-Atmosphere Data Set (ICOADS [http://icoads.noaa.gov/]) a representative hourly archive is derived from the high-resolution data. These data are available here as archive files and conveniently through ICOADS user data selection interface [http://rda.ucar.edu/datasets/ds540.0/data/imma0_form.php] as 'ICOADS Auxiliary Data Selection'.
DOI: 10.5065/5bjc-w635
title: Daily Gridded North American Snowfall

description: A daily gridded North American snowfall data with focus on the quality of the interpolated product is archived in this dataset. Daily snowfall amounts from National Weather Service Cooperative Observer Program stations and Meteorological Service of Canada surface stations are interpolated to 1 degree by 1 degree grids and examined for data record length and quality. The interpolation is validated spatially and temporally through the use of stratified sampling and k-fold cross-validation analyses. Interpolation errors average around 0.5 cm and range from less than 0.01 to greater than 2.5 cm. For most locations, this is within the measurement sensitivity. Grid cells with large variations in elevation experience higher errors and should be used with caution.