Find research datasets worth reusing

opencc-by-4.0Dec 2022View details →

Data for: Sub-tropical aerosols enhance tropical cloudiness – a remote aerosol-cloud lifetime effect

This data-set contains the data requires for the paper "Sub-tropical aerosols enhance tropical cloudiness – a remote aerosol-cloud lifetime effect" by Guy Dagan The variables containing *mean* in their name present time-average over the last 4-days of the simulations.

opencc-by-4.0Dec 2022View details →

On the Role of Sub-Grid Variability and Microphysics in Km-Scale Simulations of Mixed-Phase Clouds during Cold Air Outbreaks

Model output data used in manuscript "On the Role of Sub-Grid Variability and Microphysics in Km-Scale Simulations of Mixed-Phase Clouds during Cold Air Outbreaks" currently under review in Journal of Geophysical Research - Atmosphere.

opencc-by-4.0Jun 2022View details →

Data for "Clouds increasingly influence Arctic sea surface temperatures as CO2 rises" part 1

Data for "Clouds increasingly influence Arctic sea surface temperatures as CO2 rises" submitted to Geophysical Research Letters. Data are included from three fully-coupled CESM2 simulations with variable CO2 concentrations: pre-industrial climate ('control'), 424 ppm CO2 ('yr40'), and 1139 ppm CO2 ('yr140'). Data in all files are restricted to 40-90oN. Variables include surface temperature (TS), sea ice concentration (ICEFRAC), CALIPSO total cloud fraction (CLDTOT_CAL), total grid cell cloud liquid water path (TGCLDLWP), sea surface temperature (SST), surface downwelling shortwave radiation (FSDS), surface downwelling longwave radiation (FLDS), surface net shortwave radiation (FSNS), clear-sky surface net shortwave radiation (FSNSC), and clear-sky surface downwelling longwave radiation (FLDSC).

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Cloud forests of the Orinoco River Basin (Colombia): Variation in vegetation and soil macrofauna composition along the hydrometeorological gradient

We present vegetation, soil macrofauna, soil, hydrometeorological and topographical data collected from Tropical Montane Cloud Forests in the Orinoco River basin. Specifically, from the municipality of Chámeza, department of Casanare, Colombia. These data sets were used to evaluate how vegetation and soil macrofauna diversity vary along the 1700–2200 m a.s.l. elevation range. Within this elevation range, we have previously described a hydrometeorological gradient largely driven by a fog incidence increase with elevation. Vegetation data were collected for all individuals with a diameter at breast height (DBH) > 5 cm in four vegetation plots (5 x 50 m; total: 0.1 ha) every 100 m in altitude between 1700–2200 m a.s.l. From each plot, we obtained three soil monoliths from the organic layer and three from the mineral horizon, and manually extracted their soil macrofauna, and soil samples for determining pH, organic matter content, and soil texture, among others in a soil laboratory. Topographical data was inferred from Digital Elevation Models. Hydrometeorological data was collected in a previous study, but it was interpolated to the sampling plots. Here we present the interpolated hydrometeorological data.

opencc-zeroDec 2022View details →

Dataset for the Roles of Cloud Radiative Forcing in the Onset of MJO in DYNAMO

A journal paper "Roles of Cloud Radiative Forcing in the Onset of MJO in DYNAMO" details the method to create the data. Readme The modeling and observed dataset for generating the figures in this paper is stored here.  Contact For any questions related to the dataset, please contact the authors of the paper.

Dataset for "Assessing the aerosols, clouds and their relationship over the northern Bay of Bengal using a global climate model"

The dataset is organized into two ZIP folders as described below. 1. Model simulation dataset: This folder (merged_data_files) contains 2 folders. <ol> <li>Netcdf files of CESM experiments output for the study. A total of 8 experiments have been performed which can be identified by the filenames (CAM5, CAM5G, Q6, Q48, Q96, UV6, UV6Q48). Each experiment has a total of 360 time steps corresponding to daily output December-January-February (DJF) months of 2006-2010. It is to be noted that all the simulated cloud variables are from the MODIS COSP simulator output and have been restricted to low clouds (grids with cloud top pressure less than 680 hPa have been excluded). Following are the variables in each of the netcdf file of experiments which are analysed in the research article: <ol> <li> AODVISEXT - Aerosol optical depth visible range </li> <li> LCODEXTLOW - MODIS Liquid Cloud Optical Thickness </li> <li> LCFEXTLOW - MODIS Liquid Cloud Fraction </li> <li> LCEREXTLOW - MODIS Liquid Cloud Particle Size </li> <li> LWPEXTLOW - MODIS Cloud Liquid Water Path </li> <li> CTPEXTLOW - MODIS Cloud Top Pressure </li> <li> CDNC - Cloud droplet number concentration </li> </ol> </li> <li>CSV files of CTP-COT joint histogram output for each experiment averaged over the study region during DJF season for 2006-2010.</li> </ol> 2. Study region shapefile: This folder (study_region_shapefile) contains the shapefile having the outline of the northern Bay of Bengal region which is our study region. The ACI sensitivities discussed in the article have been calculated using the spatial average of data points extracted for this region for the December-January-February months for the years 2006-2010 (360 time steps).

Improving stratocumulus cloud amounts in a 200-m resolution multi-scale modeling framework through tuning of its interior physics Part 2

This dataset includes model outputs averaged from day 2 to day 15 using the multiscale modeling framework (MMF, also referred to as ``superparameterization'') for <ul> <li>Low-resolution MMF (LR): SP_newsst_long_fluxout_L125_ERA5_2008_F-MMF1_frontera_ne16pg2_r05_oQU240_CRM1_32_x_120z1200m.5s_crm_nx_rad_16_np_768_nlev_125.frontera.cam.h0.2008-10_2To15.nc <ul> <li>crm_nx = 32, crm_ny = 1, crm_dx = 1200 m, crm_dt = 5s, crm_nx_rad = 16, crm_ny_rad=1</li> </ul> </li> <li>High-resolution MMF (HR): UP_newsst_long_fluxout_L125_ERA5_2008_F-MMF1_frontera_ne16pg2_r05_oQU240_CRM1_64_x_120z200m.0.5s_crm_nx_rad_16_np_768_nlev_125.frontera.cam.h0.2008-10_2To15.nc <ul> <li>crm_nx = 64, crm_ny = 1, crm_dx = 200 m, crm_dt = 0.5s, crm_nx_rad = 16, crm_ny_rad=1</li> </ul> </li> <li>Same as HR, but considers hyperviscosity with tau = 30s (HRh30): UPhyperlag30_newsst_fluxout_L125_ERA5_2008_F-MMF1_frontera_ne16pg2_r05_oQU240_CRM1_64_x_120z100m.0.5s_crm_nx_rad_16_np_768_nlev_125.frontera.cam.h0.2008-10_2To15.nc</li> <li>Same as HR, but considers hyperviscosity with tau = 150s (HRh15): UPhyperlag15_newsst_fluxout_L125_ERA5_2008_F-MMF1_frontera_ne16pg2_r05_oQU240_CRM1_64_x_120z100m.0.5s_crm_nx_rad_16_np_768_nlev_125.frontera.cam.h0.2008-10_2To15.nc</li> <li>Same as HRh, but considers both hyperviscosity and sedimentation (HRhs15) with tau = 30s and sigmag = 1.5: HPhyper_sedi15_long_newsst_fluxout_L125_ERA5_2008_F-MMF1_frontera_ne16pg2_r05_oQU240_CRM1_64_x_120z200m.0.5s_crm_nx_rad_16_np_768_nlev_125.frontera.cam.h0.2008-10_2To15.nc</li> <li>Same as HRh, but considers both hyperviscosity and sedimentation (HRhs12) with tau = 30s and sigmag = 1.2: HPhyper_sedi12_long_newsst_fluxout_L125_ERA5_2008_F-MMF1_frontera_ne16pg2_r05_oQU240_CRM1_64_x_120z200m.0.5s_crm_nx_rad_16_np_768_nlev_125.frontera.cam.h0.2008-10_2To15.nc</li> </ul>

Improving stratocumulus cloud amounts in a 200-m resolution multi-scale modeling framework through tuning of its interior physics Part 1

This dataset includes 6-month simulations using the ne30pg2 grid. Monthly averaged output files from six experiments are included. <ul> <li>E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1 <ul> <li>The config options for this control simulation is <pre>CAM_CONFIG_OPTS = -mach summit -phys default -use_MMF -crm samxx -nlev 60 -crm_nz 50 -crm_dt 10 -crm_dx 2000 -crm_nx 64 -crm_ny 1 -crm_nx_rad 4 -crm_ny_rad 1 -rad rrtmgp -rrtmgpxx -MMF_microphysics_scheme sam1mom -chem none -nlev 125 -crm_nz 115 -crm_dt 2 -crm_dx 200 -crm_nx 256 -crm_ny 1 -crm_nx_rad 4 -crm_ny_rad 1 -use_MMF_VT -cppdefs ' -DMMF_ESMT -DMMF_USE_ESMT -DMMF_HYPERVISCOSITY -DMMF_SEDIMENTATION ' </pre> </li> </ul> </li> <li>E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED <ul> <li>The HV.SED control case is the same as the control (E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1), but considered both hyperciscosity and sedimentation processes.</li> </ul> </li> <li>E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED.QW_1E-04 <ul> <li>Same as the HV.SED control case (E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED), but changed the autoconversion thresholds for liquid from QW_1E-03 (default) to QW_1E-04.</li> </ul> </li> <li>E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED.QW_5E-04 <ul> <li>Same as the HV.SED control case (E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED), but changed the autoconversion thresholds for liquid from QW_1E-03 (default) to QW_5E-04.</li> </ul> </li> <li>E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED.QW_5E-04_QI_5E-05 <ul> <li>Same as the HV.SED control case (E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED), but changed the autoconversion thresholds for liquid from QW_1E-03 (default) to QW_1E-04 and ice from QI_1E-04 (default) to QI_5E-05.</li> </ul> </li> <li>E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED.QW_5E-04_QI_8E-05 <ul> <li>Same as the HV.SED control case (E3SM.INCITE2022-LOW-CLD-00.ne30pg2.F2010-MMF1.L125_115.NXY_256x1.HV.SED), but changed the autoconversion thresholds for liquid from QW_1E-03 (default) to QW_1E-04 and ice from QI_1E-04 (default) to QI_8E-05.</li> </ul> </li> </ul>

opencc-zeroFeb 2023View details →

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Data for: Ecological and evolutionary origin of Costus flammulus (Costaceae): A new species from the montane cloud forests of the volcanic cordilleras in northern Costa Rica

Costus flammulus is a new herbaceous species endemic to montane cloud forests of the volcanic cordilleras in northern Costa Rica. Costus flammulus has been mistaken for C. wilsonii, but phylogenetic evidence demonstrates that it is closely related to the widespread lowland species C. pulverulentus. Here, we used an integrated framework of species concepts to evaluate whether C. flammulus and C. pulverulentus are distinct species. First, we re-evaluate prior phylogenetic analyses to assess whether C. flammulus bifurcated from or budded off from within C. pulverulentus and whether C. flammulus is monophyletic. We then compare phenotypic traits to determine which diagnostic vegetative and inflorescence traits can be used to identify species in herbarium specimens and examine whether floral traits may confer floral isolation. We compare pollinator assemblages to examine whether pollinator specificity may contribute to reproductive isolation. Finally, we model species distributions and climatic niche overlap to assess ecogeographic isolation. We found that C. flammulus is a monophyletic species phenotypically, ecologically, and geographically distinct from C. pulverulentus and may have speciated as a peripheral isolate at the high elevation range edge of C. pulverulentus. Several lines of evidence, such as C. pulverulentus paraphyly, range size asymmetry, and C. flammulus' nested distribution and vegetative traits, suggest that C. flammulus budded off from a C. pulverulentus‐like progenitor species, evolving to tolerate a colder and more seasonal montane environment.

Forcing, cloud feedbacks, cloud masking, and internal variability in the cloud radiative effect satellite record (Data)

README file for ERA5-PRP datasets used in: Raghuraman et al., 2023, Journal of Climate, "Forcing, cloud feedbacks, cloud masking, and internal variability in the cloud radiative effect satellite record" Point of Contact: Shiv Priyam Raghuraman, shivr@alumni.princeton.edu 30 ERA5-PRP files: 2 files: '2000_2020-allsky_small.nc' and '2000_2020-clearsky_small.nc' <ul> <li>all input quantities varying</li> </ul> 2 files: 'clim-allsky-clim-var-all.nc' and 'clim-clearsky-clim-var-all.nc' <ul> <li>all input quantities at climatology</li> </ul> 13 files: 'clim-var' <ul> <li>Input quantity X at climatology, rest varying</li> <li>X = clouds, q, fal, skt, t, ghg, or o3. Fluxes computed in clear-sky and all-sky, apart from clouds which will only have all-sky.</li> </ul> 13 files: 'clim-except-var' <ul> <li>Input quantity X varying, rest at climatology</li> <li>X = clouds, q, fal, skt, t, ghg, or o3. Fluxes computed in clear-sky and all-sky, apart from clouds which will only have all-sky.</li> </ul> Other datasets: GFDL AM4 AMIP and Control https://doi.org/10.5281/zenodo.4784726 CMIP6 Control, Historical, RFMIP Downloaded from ESGF

Aerosol activation from E3SM and cloud parcel model

This dataset contains maximum supersaturation, activation fraction, temperature, pressure, relative humidity, updraft velocity, and size, number, standard deviation, and hygroscopicity of aerosol from the 4-mode version of Modal Aerosol Module (MAM4) in U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) and from a cloud parcel model.

3D cloud effect bcXCO2 biases

These data files are associated with the AMT paper "Insights into 3D cloud radiative transfer effects for OCO-2" by Massie, Cronk, Merrelli, Schmidt, and Mauceri

opencc-by-4.0Jun 2022View details →

Saul Flores data for manuscript in ECOLOGY: Extreme drought disrupts plant phenology: insights from 35 years of cloud forest data in Venezuela

Venezuela cloud forest phenology data for tree flowers and fruits.

Data from "Enhanced radiative forcing from aerosol-cloud interactions due to large-scale circulation adjustments" by Guy Dagan, Netta Yeheskel and Andrew I. L. Williams.

This is the data presented in "Enhanced radiative forcing from aerosol-cloud interactions due to large-scale circulation adjustments" by Guy Dagan, Netta Yeheskel and Andrew I. L. Williams.   Please read the README file for explanations about the data.

Single column 1D radiative transfer simulations for a case study of multilayer mixed-phase cloud in Punta Arena Chile

This data set contain the input files and output simulations from a single column 1D radiative transfer simulations using the Rapid Radiative Transfer Model for General Circulation Model (GCM) applications (RRTMG). The simulations are focused on a selected case study of multiple-layer mixed phase cloud observed in Punta Arenas Chile. The input parameters of the simulations are based on remote sensing observations, which were synergistically used with the Cloudnet and VOODOO algorithm to derive macro and microphysical properties of clouds. The atmospheric profiles of temperature, pressure, and ozone are from ERA5 (European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis) and values of surface albedo from CERES (Clouds and the Earth's Radiant Energy System) SYN1deg Ed. 4.1.

Cloudnet products and VOODOO enhancements for a case study of multilayer mixed-phase cloud in Punta Arena Chile

This data set contains the Cloudnet and VOODOO enhanced products from observations during the the long-term ground-based remote-sensing field experiment Dynamics, Aerosol, Cloud and Precipitation Observations in the Pristine Environment of the Southern Ocean (DACAPO-PESO) in Punta Arenas, Chile.

Self-consistent Models of Y Dwarf Atmospheres with Water Clouds and Disequilibrium Chemistry

This data set consists of 1d radiative-convective equilibrium models intended for Y Dwarfs or cool giant planets with negligible levels of external irradiation, computed using coolTLUSTY and a recently updated set of molecular absorption cross sections. Models span effective temperatures of 200 - 600 K, metallicities of [-0.5], [0], and [+0.5] dex, and surface gravities of log10(g / [cm/s^2]) = 3.5 - 5.0, and are computed for both cloudy and clear cases, in thermochemical equilibrium and with nonequilibrium carbon and nitrogen chemistry due to vertical mixing. Models extend from 0.5 microns to 300 microns with 30,000 frequency points evenly spaced in ln(frequency), which corresponds to an average resolving power of R ~ 4340. See README.txt for a description of file formats, naming conventions, and decompressed sizes. A more thorough summary of the assumptions made in computing these models and a walk-through of their properties can be found in Lacy & Burrows 2023 "Self-consistent Models of Y Dwarf Atmospheres with Water Clouds and Disequilibrium Chemistry" accepted for publication in the Astrophysical Journal and available on arXiv. If you make use of these models please cite that publication, along with this zenodo data set.

The relationship between the present-day seasonal cycles of low clouds in the mid-latitudes and cloud-radiative feedback

Supporting data for "The relationship between the present-day seasonal cycles of low clouds in the mid-latitudes and cloud-radiative feedback", by K. Furtado, Y. Tsushima and P. R. Field.

opencc-zeroApr 2023View details →

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Phylogenetic data for: Synchrospora gen. nov., a new Peronosporaceae genus with aerial lifestyle from a natural cloud forest in Panama

During a survey of Phytophthora diversity in Panama, fast-growing oomycete isolates were obtained from naturally fallen leaves of an unidentified tree species in a tropical cloud forest. Phylogenetic analyses of sequences from the nuclear ITS, LSU and ß–tubulin loci and the mitochondrial cox1 and cox2 genes revealed they belong to a new species of a new genus, officially described here as Synchrospora gen. nov., which resided as a basal genus within the Peronosporaceae. The type species S. medusiformis has unique morphological characters. The sporangiophores show determinate growth, multifurcating at the end forming a stunted, candelabra-like apex from which multiple (8 to >100) long, curved pedicels are growing simultaneously in a medusa-like way. The caducous papillate sporangia mature and are shed synchronously. The breeding system is homothallic, hence more inbreeding than outcrossing, with smooth-walled oogonia, plerotic oospores and paragynous antheridia. Optimum and maximum temperatures for growth are 22.5 and 25–27.5 °C, consistent with its natural cloud forest habitat. It is concluded that S. medusiformis is adapted to a lifestyle as canopy-dwelling leaf pathogen in tropical cloud forests. More oomycete surveys in the canopies of tropical rainforests and cloud forests are needed to elucidate the diversity and role of oomycetes and, in particular, S. medusiformis and possibly other Synchrospora taxa in this as yet under-explored habitat.

Data for Simulating the seeder-feeder impacts on cloud ice and precipitation over the Alps

The ice phase impacts many important cloud properties and the lifetime of the clouds. Ice particles that sediment into a lower cloud from an upper cloud (external seeder-feeder process) or into the mixed-phase region of a deep cloud from cirrus levels (internal seeder-feeder) can amplify cloud glaciation and enhance surface precipitation. Recently, numerical weather prediction modeling studies have aimed at representing the ice crystal number concentration in mixed-phase clouds more accurately by including secondary ice formation processes. The increase in the ice crystal number concentration can impact the number of ice particles that sediment into the lower cloud and alter its composition and precipitation formation.  In the Swiss Alps, the orography permits the formation of orographic clouds, making it ideal for studying the occurrence of multi-layered clouds and the seeder-feeder process. We present results from a case study on May 18, 2016, showing the occurrence frequency of multi-layered clouds and the seeder-feeder process. We included ice-graupel breakup to enhance the ice crystal number concentration and investigate the precipitation formation processes. 47.6\% of all observed clouds were categorized as multi-layered, in which the external seeder-feeder process occurred in 10.3\% of these clouds which is similar to what was found in several studies. In between cloud layers, 58.4\% of the ice particle mass was lost due to sublimation or melting. The external seeder-feeder process was found to be more important, with regard to the impact on precipitation, than the internal seeder-feeder process in this case study. In the case where the external seeder-feeder process was blocked, the average surface precipitation and riming rate over the domain were both reduced by 8.5\% and 3.9\%, respectively. When ice-graupel collisions were allowed, further large reductions were seen in the liquid water fraction and riming rate. Blocking of the internal seeder-feeder process enhanced the liquid water fraction of 6\% compared to a reduction of 5.8\% in the cloud condensate and, therefore, pointing towards the deamplification in cloud glaciation and a reduction in surface precipitation.