cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5065/nq49-4y34
title: WRF-Chem Simulations of Dust Storms With and Without Inserting SMAP Soil Moisture Retrievals

description: In that study, eight dust storms in the western U.S. from 2015-2021 were simulated with the WRF-Chem model at 9 km grid spacing, with one simulation directly inserting soil moisture retrievals from the Soil Moisture Active Passive (SMAP) satellite into WRF-Chem ("Insert SMAP"), and the other leaving the WRF-Chem soil moisture field uncorrected ("No SMAP"). Model simulations were validated against ASOS METAR observations of 10 m wind speed, U.S. Climate Reference Network (USCRN) observations of soil moisture content, Aerosol Robotic Network (AERONET) retrievals of aerosol optical depth (AOD), and Moderate Resolution Imaging Spectroradiometer (MODIS) retrievals of AOD.For all eight cases, this dataset includes 1-hourly and 15-minute WRF-Chem model output for both Insert SMAP and No SMAP experiments for a limited set of relevant variables, USCRN station observations, AERONET station retrievals, and matched-pairs of valid MODIS AOD retrievals with WRF-Chem simulated AOD. All data files are provided in NetCDF.
DOI: 10.5065/p0vq-t219
title: CESM2 single forcing large ensemble description paper

description: This dataset contains processed data from the CESM2 single forcing large ensemble experiments as well as some CESM2 emissions files that are necessary for reproducing the figures in Simpson et al (2023) "The CESM2 Single Forcing Large Ensemble and Comparison to CESM1: Implications for Experimental Design", Journal of Climate.
DOI: 10.5065/8406-p773
title: Datasets used in Bacmeister et al, JAMES (2020). " CO2 increase experiments ..."

description: Datasets used in the creation of original figures of Bacmeister et al. JAMES (2020). CO2 increase experiments using the Community Earth System Model (CESM): Relationship to climate sensitivity and comparison of CESM1 to CESM2.We examine the response of the Community Earth System Model versions 1 and 2 (CESM1 and CESM2) to abrupt quadrupling of atmospheric CO2 concentrations (4xCO2) and to 1% annually increasing CO2 concentrations (1% CO2). Different estimates of equilibrium climate sensitivity (ECS) for CESM1 and CESM2 are presented. All estimates show that the sensitivity of CESM2 has increased by 1.5K or more over that of CESM1. At the same time the transient climate response (TCR) of CESM1 and CESM2 derived from 1% CO2 experiments has not changed significantly - 2.1K in CESM1 and 2.0K in CESM2. Increased initial forcing as well as stronger shortwave radiation feedbacks are responsible for the increase in ECS seen in CESM2. A decomposition of regional radiation feedbacks and their contribution to global feedbacks shows that the Southern Ocean plays a key role in the overall behavior of 4xCO2 experiments, accounting for about 50% of the total shortwave feedback in both CESM1 and CESM2. The Southern Ocean is also responsible for around half of the increase in shortwave feedback between CESM1 and CESM2, with a comparable contribution arising over tropical ocean. Experiments using a thermodynamic slab-ocean model (SOM) yield estimates of ECS that are in remarkable agreement with those from fully-coupled earth system model (ESM) experiments for the same level of CO2 increase. Finally, we show that the similarity of TCR in CESM1 and CESM2 masks significant regional differences in warming that occur in the 1% CO2 experiments for each model.
DOI: 10.5065/stsw-3m29
title: S2S Hindcast MJO Cases

description: This dataset includes two MJO case S2S hindcasts starting with a QBO neutral state. For each case, the pre-control experiment follows the standard CESM2 S2S hindcast protocol as free runs, while the QBO experiments are conducted with the stratosphere zonal means nudged to the sum of pre-control states and the QBO anomalies for the selected variable such as zonal wind, temperature, or both. The dataset is used to investigate the QBO impacts on MJO case hindcasts.
DOI: 10.26024/4zgv-rt74
title: CESM2 CMIP5 Ensemble

description: The CESM2 with CMIP5 forcing is a set of climate model simulations intended to disentangle the role of forcing versus model structure between CESM2 and CESM1 for pre-industrial, 20th and 21st centuries simulations.The CESM2 has considerable changes relative to the CESM1 both in the model structure and in the forcing. In order to understand these changes and their impact on climate variability and change, simulations with CESM2 but with a forcing similar to CESM1 were performed.Simulations include a 500-year pre-industrial run and two 15-member ensembles forced by historical/RCP8.5 datasets.Due to computational constraints, only a single historical ensemble member runs from 1850-1920. The remaining members were branched in 1920 from the first member.The forcing in these simulations is comparable to forcing used in the CESM1 Large Ensemble Simulations [https://www.cesm.ucar.edu/community-projects/lens].The model code and case setups for the CESM2 CMIP5 Forcing Experiments can be found on github [https://github.com/NCAR/CESM2-CMIP5].
DOI: 10.5065/gc1t-kg59
title: CESM2 SMOOTH experiments

description: The Arctic is undergoing a pronounced and rapid transformation in response to changing greenhouse gasses, including reduction in sea ice extent and thickness. There are also projected increases in near-surface Arctic winds. This study addresses how the winds trends may be driven by changing surface roughness and/or stability in different Arctic regions. These data are from five experiments using CESM2 with an artificially decreased sea ice roughness to match that of the open ocean. The data included include only select variables from the atmospheric and sea ice model components. These variables are included because they were used for figures and analysis in the associated manuscript: DuVivier, A.K. et al. (2023) "Investigating future Arctic sea ice loss and near-surface wind speed changes related to surface roughness using the Community Earth System Model." Journal of Geophysical Research - Atmospheres.
DOI: 10.5065/d6x065vv
title: Deterministic gridded (250 m) daily rainfall and temperature for the Hawaiian Islands (1990-2014)

description: Spatially continuous data products are essential for a number of applications including climate and hydrologic modeling, weather prediction, and water resource management. In this work, a distance-weighted interpolation method used to map daily rainfall and temperature in Hawaii is described and assessed. New high-resolution (250 m) maps were developed for daily rainfall and daily maximum (Tmax) and minimum (Tmin) near-surface air temperature for the period 1990-2014.
DOI: 10.5065/d6j67dxp
title: WHATCHEM Version 2.1

description: The Water Height and Temperature in Container Habitats Energy Model.
DOI: 10.6084/m9.figshare.31258699
title: Nigerians Diabetes dataset

description: "Nigerians Diabetes dataset" contains 768 observations of medical records for women aged 21 years and above. The outcome variable (Outcome) indicates whether a patient has diabetes (1) or not (0).<br> Collected over a period of 8 months across federal medical centers across the country. The dataset includes the following features:<br><br>Pregnancies: Number of pregnancies<br>Glucose: Plasma glucose concentration after a 2-hour oral glucose tolerance test<br>BloodPressure: Diastolic blood pressure (mm Hg)<br>SkinThickness: Triceps skinfold thickness (mm)<br>Insulin: 2-Hour serum insulin (mu U/ml)<br>BMI: Body mass index (weight in kg/(height in m)^2)<br>DiabetesPedigreeFunction: A score representing the likelihood of diabetes based on family history<br>Age: Age in years<br>Target variable: Outcome 1 indicates having diabetes; 0 indicates not having diabetes.
DOI: 10.6084/m9.figshare.31258699.v1
title: Nigerians Diabetes dataset

description: "Nigerians Diabetes dataset" contains 768 observations of medical records for women aged 21 years and above. The outcome variable (Outcome) indicates whether a patient has diabetes (1) or not (0).<br> Collected over a period of 8 months across federal medical centers across the country. The dataset includes the following features:<br><br>Pregnancies: Number of pregnancies<br>Glucose: Plasma glucose concentration after a 2-hour oral glucose tolerance test<br>BloodPressure: Diastolic blood pressure (mm Hg)<br>SkinThickness: Triceps skinfold thickness (mm)<br>Insulin: 2-Hour serum insulin (mu U/ml)<br>BMI: Body mass index (weight in kg/(height in m)^2)<br>DiabetesPedigreeFunction: A score representing the likelihood of diabetes based on family history<br>Age: Age in years<br>Target variable: Outcome 1 indicates having diabetes; 0 indicates not having diabetes.
DOI: 10.5065/d6jq0zrk
title: CESM1 Fixed Ozone Ensemble

description: The CESM1-CAM5 fixed ozone runs are eight CESM simulations that use the Large Ensemble (LENS) code base and were initialized in 1955 with Large Ensemble members. The runs use the same external forcings as those in the 20th Century CESM LENS except for ozone. Instead of prescribing a time-varying ozone concentration as in LENS, ozone is kept at constant 1955 concentrations. (The ozone file is available under the Data Access tab.) Note that the global ozone concentrations are fixed, including both stratospheric and tropospheric concentrations. The runs go from 1955-2005 and are labeled "b.e11..B20LE_fixedO3_xxx" where "xxx" corresponds to the Large Ensemble member that it branched from (e.g. 001, 010, etc). These runs were supported with resources from NSF FESD (#1338814).
DOI: 10.5065/02h2-6c44
title: OMI/MLS Tropospheric Ozone 2005-2024 Climatology

description: This global dataset contains a climatology of 12 monthly averages and standard deviations of tropospheric column ozone from the Ozone Monitoring Instrument/Microwave Limb Sounder (OMI/MLS) on NASA's Aura satellite. We provide data for definitions of the troposphere truncated at 300 hPa and 100 hPa pressure levels. Data are sampled from January 2005-December 2024. These data are compiled for usage on the NSF NCAR ADF model evaluation and diagnostics package (https://github.com/NCAR/ADF). The dataset is truncated to 75.5S to 75.5N because of some ozone misrepresentation and retrieval difficulty near the poles. Spatial resolution: 1 longitude x 1 latitude global, truncated to 75.5S to 75.5N
DOI: 10.5065/7yge-6045
title: Selected Outputs of NCAR Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIE-GCM) v2.0 Simulation of the 2017 September 7 Event

description: This dataset contains the NCAR Thermosphere-Ionosphere- Electrodynamics General Circulation Model (TIE-GCM) model output associated with the 7 September 2017 solar storm.These netCDF files are global gridded 60-second output by the NCAR TIE-GCM v2.0 model. The metadata in the individual netCDF files describes the individual parameters and locations. The spatial resolution is 2.5 x 2.5 degree latitude/longitude.
DOI: 10.5065/c32y-rk84
title: CESM1 Last Millennium Ensemble

description: The CESM Paleoclimate Working Group at NCAR conducted a series of Last Millennium community experiments, referred to as the Last Millennium Ensemble (LME). The LME used a ~2-degree atmosphere and land, ~1-degree ocean and sea ice version of CESM1 (CAM5). Ensemble members extend from 850 to 2006 using reconstructions for the transient evolution of solar intensity, volcanic emissions, greenhouse gases, aerosols, land use conditions, and orbital parameters, together and individually. We have completed 36 simulations for the LME project: 13 simulations with all transient forcings, smaller ensembles with each transient forcing separately, and long 1850 and 850 control simulations. Ensemble spread is generated using round-off differences in the initial atmospheric state. Monthly, daily, and 6-hourly outputs are available.More information about this dataset can be found on the CESM1 Last Millennium Ensemble Project website [https://www.cesm.ucar.edu/community-projects/lme].
DOI: 10.5065/3jcr-gc24
title: CESM1 Stratospheric Aerosol Geoengineering Large Ensemble project (GLENS)

description: The Stratospheric Aerosol Geoengineering Large Ensemble project (GLENS) is a 20-member ensemble of stratospheric sulfate aerosol geoengineering simulations between 2020-2099 and a 20-member ensemble of control simulations over a reference period between 2010-2030 using the NCAR Community Earth System Model with the Whole Atmosphere Community Climate Model as its atmospheric component.
DOI: 10.5065/ygpe-wd63
title: Ionosphere-Thermosphere Data Published in "Large-Scale Ionospheric Disturbances During the 17 March 2015 Storm: A Model-Data Comparative Study"

description: This dataset supports the publication "Large-scale ionospheric disturbances during the 17 March 2015 storm: A model-data comparative study". The data files are selected output from the thermosphere-ionosphere-electrodynamics general circulation model (TIEGCM). The data files are model outputs from the TIEGCM simulations of the 17 March 2015 storm.
DOI: 10.5065/d6sb44jv
title: Ensemble gridded (1 km) daily rainfall and temperature for the Hawaiian Islands (1990-2014)

description: It is a major challenge to develop gridded precipitation and temperature estimates that adequately resolve the extreme spatial gradients present in the Hawaiian Islands. The challenge is particularly pronounced because the available station networks are irregularly spaced and sparse, creating large uncertainties in gridded spatial meteorological estimates. Here we develop a 100- member, daily ensemble of precipitation and temperature estimates over the Hawaiian Islands for the period 1990-2014 at 1 km grid resolution. We first develop an intermediary ensemble estimate of the monthly climatological precipitation and temperature and use the climatological surfaces to inform daily anomaly interpolation. This Climatologically Aided Interpolation (CAI) method extends our initial ensemble system developed for the continental United States (CONUS).For Hawaii, we show that daily interpolation using only daily data is inferior to the CAI methodology, particularly over longer time periods (years to decades). Daily interpolation has more value for short time periods (e.g. 1-month or less) or when the precipitation distribution substantially diverges from climatology. The CAI ensemble is able to reproduce observed precipitation and temperature patterns, including the probability of precipitation. Leave-one-out cross-validation results illustrate that the ensemble has: 1) minimal biases, 2) reasonable mean absolute errors, 3) good representation of daily precipitation intensity variability, and 4) good reliability and discrimination. Additionally, the ensemble is able to reasonably reproduce the tails (e.g. 99.9th percentile) of the daily precipitation and temperature distributions, with increasing uncertainty for higher percentiles.
DOI: 10.5065/bdr7-wt42
title: Simulation data of the DECK, CMIP6 historical, and PMIP4 LGM simulations using the Paleoclimate-Calibrated CESM2

description: This dataset contains the more frequently-used variables from the DECK (Diagnostic, Evaluation and Characterization of Klima), the Coupled Model Intercomparison Project phase 6 (CMIP6) historical, and the Paleoclimate Modelling Intercomparison Project phase 4 (PMIP4) Last Glacial Maximum simulations using the Paleoclimate-Calibrated Community Earth System Model version 2 (CESM2).
DOI: 10.5065/qzke-cp31
title: Archived Data for "Simulating Observations of Southern Ocean Clouds and Implications for Climate"

description: This is the archive of CAM6 simulation output used in the paper Archived Data for Simulating Observations of Southern Ocean Clouds and Implications for Climate which appeared in AGU J. Advances in Modeling Earth Systems, JGR AtmospheresThe CAM6 output data is in CAM history format and includes three types of files: monthly, daily and along aircraft flight tracks.
DOI: 10.5065/mjs1-k131
title: GLENS (CESM) Atmospheric River Catalogues

description: This collection of 59 netCDF files contains the West US Atmospheric River cases from 2010 to 2100 CESM climate simulations. It serves as the Atmospheric River Catalogues with the dates and the detected landfall locations in the files . These data files are suitable for the Atmospheric River Detection Tool (ARDT) applications.
DOI: 10.5065/8yvd-fs62
title: Data for "Interhemispheric asymmetry of the thermospheric neutral density response to the 7-9 September 2017 geomagnetic storms"

description: This dataset is for the paper titled "Interhemispheric asymmetry of the thermospheric neutral density response to the 7-9 September 2017 geomagnetic storms." The data set contains the following types of data: a) Assimilative Mapping of Ionospheric Electrodynamics (AMIE) outputs: amie_nh.npz and amie_sh.npz. b) Neutral density data along the satellite track: Swarm-A: swma_asc_20170905_20170908.txt and swma_des_20170905_20170908.txt; Swarm-B: swmb_asc_20170905_20170908.txt and swmb_des_20170905_20170908.txt; GRACE: grac_asc_20170905_20170908.txt and grac_des_20170905_20170908.txt c) IMF and solar wind data: omni_sep17.npz d) TIEGCM outputs: sep05_2017_sech.nc, sep06_2017_sech.nc, sep07_2017_sech.nc, sep08_2017_sech.nc e) TIEGCM outputs with post-processing: sep05-09.nc
DOI: 10.5065/xdqz-6920
title: POGA and SPCZ experiments using CAM5

description: Two atmosphere-only experiments using CAM5, PAC-A and extSPCZ-A (each with 10 ensemble members), are conducted to compare with the fully coupled CESM1 tropical Pacific pacemaker (PAC-C) experiments. The uncoupled PAC-A experiment matches the coupled PAC-C in every way, apart from the inclusion of coupling outside of the tropical Pacific region. In this way, the PAC-A ensemble mean with external forcing removed (i.e., PAC-A minus LENS) isolates the direct atmospheric influence of tropical Pacific SST. In other words, the uncoupled PAC-A and coupled PAC-C simulations enable an "apple-to-apple " comparison to identify the tropical Pacific SST influence on global SST and atmospheric teleconnections.
DOI: 10.5065/zgm4-sc29
title: ROMS simulations of river-sourced coastal ocean tracer pathways following Hurricane Florence and synthetic scenarios

description: Three-hourly model output from a 800 m horizontal resolution 50-vertical layer Regional Ocean Modeling System (ROMS) simulation of the coastal region near Cape Fear, North Carolina during Hurricane Florence, which made landfall in North Carolina in September 2018,. This output is being made public in connection with a publication (Moulton et al., 2024). Also included are model setup files and scripts necessary to rerun the model.
DOI: 10.5065/0s63-m767
title: S2S Hindcasts

description: This dataset contains subseasonal-to-seasonal (S2S) hindcasts with CESM2 that were carried out as a community project and with community analysis in mind. These forecasts consist of 45-day long runs initialized every Monday from 1999 to 2019, 11 ensemble members. Output includes atmospheric, land, ocean and sea-ice variables (many requested by the community). These simulations are in support of the work done by the newly formed Earth System Predictability Working Group within CESM.
DOI: 10.5065/jkm8-kr80
title: CTSM (CLM5) CAMELS Basins Model -- LSE calibration version 1

description: This dataset contains the first public configuration of the CTSM land model designed for experimentation on CTSM hydrologic processes, including runoff. It contains the model implementation spanning a large-sample collection of 627 watersheds from the CAMELS dataset, also developed at NCAR. This archive contains the input, configuration and output files constructed to introduce a new model parameter estimation approach using AI-based model emulators with sequential optimization to calibrate and regionalize CTSM (and other models) for large-domain (national to global scale) implementation. This data resource (together with the public LSE method repository at NCAR) forms a valuable testbed for hydrologic modeling with CTSM will enable the community to explore and build on the new approach, and provides a benchmark for evaluating future modeling strategies for hydrology. It also contains a large sample (of up to 1000 parameter sets per basin) for assessment of CTSM hydrologic parameter sensitivities. The data are not grids but are mostly time-series of locations that enable the implementation of CTSM over 627 individual watersheds, treated individually as points.
DOI: 10.5065/8fa8-r793
title: S2S Hindcast TC Tracks

description: This dataset contains tropical cyclone (TCs) tracks in the CESM2 S2S reforecasts for the period of 2002 - 2019. We use the TempestExtremes tracking algorithm to detect and track TCs (or TC-like disturbances) on the CESM2 CAM6 native grid, utilizing all 11 ensemble members and 6-hourly output of near-surface winds, sea level pressure, and geopotential thickness between 200 and 500 hPa. D
DOI: 10.5065/w4v3-kr46
title: CESM2 Initialized 2019/20 Australian Wildfire Simulations

description: The coupled climate response to biomass burning emissions from the 2019/20 Australian wildfire season is estimated from the contrast between this 30-member ensembles using CESM2 initialized in August 2019. In response to the fires, a widespread increase in biomass aerosol burdens is simulated in the southern hemisphere through late 2019 and early 2020. Accompanying the increase is an enhancement of cloud albedo, particularly in regions of widespread stratocumulus clouds in the southeastern subtropical Pacific Ocean. The increase in albedo acts to cool the surface, dry the boundary layer, and reduce the moist static energy of the advected low-level flow into the deep tropics. It also cools the ocean locally and the currents that flow into the deep tropics. In response, the Intertropical Convergence Zone is found to migrate northward and sea surface temperature in the Nino 3. 4 region cools. A subsequent multi-year ensemble-mean cooling of the tropical Pacific is simulated through the end of 2021, suggesting an important contribution to the ongoing strong La Nina event.
DOI: 10.5065/7nb6-rj33
title: Daily Northern Hemisphere Sea Level Pressure Grids, continuing from 1899

description: The 5-degree latitude/longitude grids contained in this dataset make up the longest continuous set of daily gridded Northern Hemisphere sea-level pressure data in the DSS archive. These grids have been assembled by DSS from the grids of various meteorological chart digitization projects and operational analyses [https://rda.ucar.edu/OS/web/datasets/d010000/docs/data_sources]. Grids begin in 1899 and cover the Northern Hemisphere from 15N to the North Pole. The dataset continues to be updated regularly as new data become available.In the earlier years, there is one grid per day, but from July 1962 on, there are two grids per day. Prior to 1946, the original grids had a 10-degree resolution and the intermediate points were interpolated and indicated as such. Also in this period, there are times when large numbers of gridpoints are missing, particularly over the Asian continent. For more information, see the documentation [https://rda.ucar.edu/datasets/d010000/documentation/] about original data points.