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opencc-by-4.0Jan 2018View details →

Model output for: Rate of mass loss across the instability threshold for Thwaites Glacier determines rate of mass loss for entire basin

Results from “Rate of mass loss across the instability threshold for Thwaites Glacier determines rate of mass loss for entire basin.” The tar files herein contain multi-resolution grounding line position data and 4 km resolution output of modeled fields for all model runs. The region of interest represented is the Thwaites catchment in West Antarctica. The files for modeled fields have been coarsened or “flattened” to 4 km from their original adaptive mesh refinement (AMR) structure. Metadata contents 1. Grounding line position data – text files 2. Modeled Fields – HDF5 files 3. BISICLES grid and coordinate system   1. Grounding line position data Tar Files with "GLposition" in the title contain the annual grounding line positions, at cell faces, over the discretized Thwaites catchment for the specified model run. Each tar file contains a series of text files for a particular model run that used a specific background melt rate. The background marine melt rate is specified in the third field of the tar file name as delimited by the underscore character (“_”). Additionally, the last year of anomalous forcing before it was turned off leaving only the background marine melting is listed in the third field. nonuniformMM indicates the non-uniform background marine melting. uniformMM indicates the uniform background marine melting. 260 and 270 are the last model years where anomalous marine melting were applied. After untarring a file, the naming convention for the individual text files is seen to be similar to the name of the respective tar file. The first field as delimeted by the underscore character contains either “glnonMM” or “gluniMM” followed by the last year of anomalous forcing used; e.g “gluniMM260”. The second field indicates the model year. Note that the last year forced is included for all runs. The text files contain three columns of data: an indicator of model resolution followed by x- and y-coordinates, respectively. Location coordinate units are meters and are BISICLES physical coordinates (see 3. BISICLES grid and coordinate system). For the first column: 1 is 2 km resolution 2 is 1 km resolution 3 is 500 m resolution 4 is 250 m resolution Zero (0) would be the base resolution of 4 km, however, all grounded ice was tagged to refine to level 1 so it does not appear in these files. Additionally, if a region was refined at a high resolution, then the grounding line positions for this region are not reported at any lower resolutions below this.   2. Modeled fields Modeled fields are 4 km resolution in Chombo HDF5 file format. Each tar file contains the annual data as individual HDF5 files for the specified model run. The second field of the tar file as delimited by the underscore character specifies the background melt rate used and the last year of anomalous marine forcing (ramp). NonUniformMM260 indicates the non-uniform background marine melt rate with ramp shutoff after year 260. NonUniformMM270 same as above but ramp shutoff at year 270 UniformMM260 indicates the spatially uniform background marine melt rate with ramp shutoff after year 270 UniformMM270 same as above but ramp shutoff at year 270 HDF5 files: The third field as delimited by the period (“.”) character shows the background melt rate used in individual HDF5 files and the fifth field indicates the model year. Contents of HDF5 files (field name: variable) xVel: velocity in the direction of the x-axis (m/a) yVel: velocity in the direction of the y-axis (m/a) Z_surface: upper ice surface elevation (masl) Z_bottom: underside surface ice elevation (masl) Z_base: bed elevation (masl) basal_friction: Basal friction coefficients div_uh: mass divergence mask: differentiates physical setting of cells (Note that coarsening introduces averages of numbers below at interfaces)                           grounded ice = 1                           floating ice = 2                           ocean = 4                           rock = 8 basalThicknessSource: melt rate (m/a) surfaceThicknessSource: accumulation rate (m/a) surfaceThicknessBalance: sum of melt rate and accumulation rate (m/a)   3. BISICLES grid and coordinate system The BISICLES model uses cell-centered grids with each cell represented by (i, j) pairs that begin numbering at (0,0) typically in the lower left hand corner of a domain. This project maintained the number ordering for the continental dataset such that (i = 366, j = 561) is the lower left cell for the included 4 km resolution HDF5 files and (i = 504, j=732) is the upper right cell. As the resolution is 4 km, this is noted as dx = 4000 in the HDF5 files. Since the data is located at cell centers, the physical coordinates relative to the BISICLES grid for a variable at (i, j) in meters is: (dx*(i + 0.5), dx*(j + 0.5)) = (BISICLES_X, BISICLES_Y) where dx is the cell resolution The translation from BISICLES physical coordinates (m) to polar stereographic projection in meters (standard parallel at -71 degrees) is as follows: (BISICLES_X – 3071500, BISICLES_Y – 3072500)

opencc-by-4.0Apr 2024View details →

FRACTESUS_UoB_73W_T0 output_MCT

<div>Fractesus project. Fracture test mini-CT.  Master curve output 73W. UoB.                                                                            </div> <div> <div>   </div> </div>

opencc-by-4.0Apr 2024View details →

3. MC T0TEM output_Framatome_ANP5

<div>Fractesus project. Fracture test mini-CT. Master curve output ANP-5. Framatome.  </div> <div> <div>   </div> </div>

opencc-by-4.0Apr 2024View details →

Realistic and idealized model output of surface currents and tracers used in frontal maintenance analysis.

<h1>Realistic model</h1> ./surface_child.zarr directory is a zarr dataset containing a realistic model model based on the Regional Ocean Modeling System \citep[ROMS][]{haidvogel.ea:08} configured with a high-resolution ($\sim$300~m), two-way nested child domain within a coarser ($\sim$1.5~km in the region of nesting) model of the Texas-Louisiana continental shelf, described by \citet{schlichting.ea:23}. The coarser parent model includes the entire coastlines of Louisiana and Texas, and has been run over multiple years of simulated time to examine, for example, interannual variability in harmful algal blooms \citep{thyng.ea:13} along the Texas coast, and the extent of the Mississippi-Atchafalaya plume \citep{zhang.ea:12}. Both models have 30 vertical layers, with resolution focused near the surface. The mean water depth in the nested region is about 50~m.  <h1>Idealized model</h1> ./reduced_channel_files contain six resolution cases spanning 200 m to 10 km horizontal resolution. The idealized ROMS model domain for all of them is 100~km by 300~km, with no-slip walls along the short (north/south) boundaries, and re-entrant along the long (east/west) boundaries. Horizontal resolution is varied from 200~m to 10~km. The initial condition is designed to roughly mirror conditions in the Mississippi-Atchafalaya river plume in the northern Gulf of Mexico, which is a location of strong buoyancy forcing, energetic eddy activity, and intense frontal processes \citep[see][]{hetland:17}. The channel has a constant depth of 50~m, with a constant rotation throughout the domain, $f=10^{-4}$~s$^{-1}$. Initial tracer distributions of temperature, $T$, and salinity, $S$, are defined by constant values specifying the vertical and horizontal density gradients, $N^2 = -g \rho_z \rho_0^{-1} = 10^{-4}~\mathrm{s}^{-2}$ and $M^2 = g \rho_y \rho_0^{-1} = 10^{-6}~\mathrm{s}^{-2}$: \begin{align}     T &= T_0 + \frac{N^2}{g \rho_0 \alpha} z\\     S &= S_0 + \frac{M^2}{g \rho_0 \beta} y \quad , \end{align} where $\alpha$=0.17~$^\circ$C$^{-1}$ and $\beta$=0.76~g$^{-1}$~kg are the linear thermal and haline expansion coefficients in a linearized equation of state,  \begin{equation}     \rho = \rho_0 (1 - \alpha T + \beta S) \quad , \end{equation} where $\rho_0$ is a reference density. A small perturbation to the initial $u$ velocity (in the periodic direction) with a period of 100~km in both the $x$- and $y$-directions and an amplitude of 0.01~m~s$^{-1}$ is applied to supply perturbations on which instabilities can form and grow. The simulations include a weak near inertial (0.9$f$) wind stress in the $x$-direction, \begin{equation}     \label{eqn:roms_wind}     \tau^x = \tau^x_0 \mathrm{sin}(0.9 f\,t) \quad , \end{equation} to mimic the diurnal winds observed in the northern Gulf of Mexico.

Model outputs from Chen et al. (2024)

This repository contains the model outputs from the revised GEOS-Chem performed by Chen et al. (2024).

opencc-by-4.0Oct 2023View details →

ChemDyg netcdf outputs for paper demonstration

This dataset includes all ChemDyg outputs in the NetCDF format for the diagnostics figures in the ChemDyg paper. The original E3SM outputs are simulated from several E3SMv3 testbase candidates for demonstration purposes.

opencc-by-nc-sa-2.0May 2024View details →

LeafMachine2 D-3FAM Summary Images - Full Output - LM2 v-2-3

This version of D-3FAM was processed with LM2 v-2-3. It also contains ALL output files. This was processed with PCD=70%, so predictions for fruits/flowers is poorer than it would be at a lower threshold. Nine PDFs containing summary images, for QC purposes, generated by LeafMachine2 for the D-3FAM dataset, which contains 831 images/species. These data were generated using LeafMachine2's default settings, notably, the PCD used a minimum threshold of 0.5 and segmented ideal and partial leaves. Ruler conversion validation images are on the right half of each PDF page.

opencc-by-4.0Jan 2024View details →

Model output for: "Freshwater input from glacier melt outside Greenland alters modeled northern high-latitude ocean circulation"

NEMO-ANHA4 and OGGM model output files used in the article: "Freshwater input from glacier melt outside Greenland alters modeled northern high-latitude ocean circulation".   halfsolid.zip and noOGGM.zip contain output of the runs called halfsolid and noOGGM in the article. output_data_OGGM.zip contains the output files of OGGM runs.

Unravelling the Devaluation Puzzle: Empirical Insights into the Transmission Channel on Balance of Payments and Output in Ethiopia

This data is the supportive document for the study "Unravelling the Devaluation Puzzle: Empirical Insights into the Transmission Channel on Balance of Payments and Output in Ethiopia"

Output Data from the CLASS model, the CLASS-L model, and the LES.

These data sets are for the work documented in Modifications to the CLASS Boundary Layer Model for Improved Interaction between the Mixed Layer and Clouds (https://doi.org/10.1029/2023MS004202). Please download these data first to run "Plotcode_Open.m" available at https://doi.org/10.5281/zenodo.11186607.

SCORE output data

This repository is linked to the following article: <ul> <li>Schaber, T., Ekholm, T., Merikanto, J. et al. Prudent carbon dioxide removal strategies hedge against high climate sensitivity. Commun Earth Environ 5, 285 (2024). https://doi.org/10.1038/s43247-024-01456-x</li> </ul> This repository includes the data underlying the analysis in the manuscript.

Model output for: "CARIB12: A Regional Community Earth System Model / Modular Ocean Model 6 Configuration of the Caribbean Sea"

This collection hosts the model output fields used in : "CARIB12: A Regional Community Earth System Model / Modular Ocean Model 6 Configuration of the Caribbean Sea".  daily_surface_fields.tar: contains daily output of sea surface salinity, surface u and v velocity components, sea-surface height and mixed layer depths. Files are split in two: 2000-01-01:2009-12-31 and 2010-01-01:2019-12-31 as specified by each filename. monthly_3D_tracers.tar: contains monthly mean output of temperature and salinity for the full 3D field (lat,lon,depth). Files are split in two: 2000-01-01:2009-12-31 and 2010-01-01:2019-12-31 as specified by each filename.

Outputs from Vector-borne diseases and climate change (VECLIMIT)- project

Vector-borne diseases (VBDs) pose a significant global public health threat, influenced by intricate interactions between hosts, vectors, pathogens, and the environment. In northern Europe the climate is warming at over twice the rate of the global average, affecting ecosystems and their biota, and consequently drivers of VBD circulation and epidemiology. By integrating long-term disease incidence data, metagenomic analyses, empirical field studies, high-resolution climate data, and predictive spatiotemporal modelling, we approached to set baselines and to understand the main climate-dependencies of the drivers of the complex dynamics governing transmission and distribution of main VBDs in Finland. In addition, by mapping the knowledge, attitudes, and practices among Finnish residents related to VBDs in a changing climate to further understand the possible gaps and misunderstandings associated with VBDs that may hinder the uptake of protective measures.

Output files of the Wd_WD model from Baïsset et al. paper entitled « Weakening induced by phase nucleation in metamorphic rocks: insights from numerical models »

Here you can find the Output files of the Wd_WD Model. These files can be read using the files "ReadHDF5_Baisset2024.m" provided with the code here:  https://doi.org/10.5281/zenodo.11473988

Output files of the reference model from Baïsset et al. paper entitled « Weakening induced by phase nucleation in metamorphic rocks: insights from numerical models »

Here you can find the Output files of the Reference Model. These files can be read using the files "ReadHDF5_Baisset2024.m" provided with the code here:  https://doi.org/10.5281/zenodo.11473988

Output data from the optimization of an industrial waste heat recovery system

Output data from the multi objective optimization of a ORC-District Heating recovery system for industrial waste heat exploitation

opencc-zeroJun 2024View details →

dryad32/100

Data from: Field-realistic exposure to the novel insecticide flupyradifurone reduces reproductive output in a bumblebee (Bombus impatiens)

Novel insecticides are continuously being developed for application in response to increased legal restriction of previously developed insecticides and resistance in target insects. These novel insecticides, such as flupyradifurone (FPF), remain relatively untested on non-target organisms, including bumblebees. Further, existing tests on honeybees tend to focus on adult mortality, and thus sub-lethal effects, such as impacts on reproductive output, are neglected, despite their importance for population-level impacts. To address if the novel insecticide FPF has sub-lethal effects on bumblebee reproduction and behavior, we established microcolonies and chronically exposed them to field-realistic concentrations over a 14-day period. We found that exposure to FPF reduced the bumblebees' reproductive output in terms of the number of larvae produced and the mean mass of each larval instar. FPF-treated bees also stored less sucrose and constructed fewer honeypots. However, adult bumblebee mortality was similar between control and FPF-exposed microcolonies. Our results show that field-realistic FPF exposure leads to increased larval mortality and/or delayed larval development, as well as reduced nectar storage, without affecting adult mortality. Policy implications: Insecticides that impair bumblebee reproduction can have long-term population-level consequences, even if adult bees do not experience increased mortality. Despite this fact, sub-lethal effects, such as impacts on reproduction, are not mandatorily assessed within the regulatory process. Our findings highlight the importance of determining sub-lethal effects of pesticides across developmental stages, as well as using pollinator species other than honeybees within the regulatory process.

NEMO/SAS-SI3 setup, forcing and output for SI3-BBM and SI3-default idealized "cyclone" simulations (Brodeau et al., 2024, final version)

Model data and setup/forcing/configuration files for the "Cyclone" test-case experiments (Mehlmann et al.,2021) discussed and analyzed in the following paper: Implementation of a brittle sea-ice rheology in an Eulerian, finite-difference, C-grid modeling framework:        Impact on the simulated deformation of sea-ice in the Arctic by Laurent Brodeau, Pierre Rampal, Einar Ólason and Véronique Dansereau, in Geoscientific Model Development (GMD), 2024.

Fire Weather Index for Europe from Downscaled and Bias-Corrected CMIP6 Model Outputs

This dataset contains the Canadian Forest Fire Weather Index (FWI) calculated from six downscaled and bias-corrected CMIP6 model outputs. The models included are: <ul> <li>ACCESS-CM2 (Ziehn et al. 2020)</li> <li>CanESM5 (Swart et al. 2019)</li> <li>CNRM-ESM2-1 (Séférian et al. 2019)</li> <li>EC-EARTH3 (EC-Earth Consortium 2019)</li> <li>MPI-ESM1-2-HR (von Storch et al. 2017)</li> <li>MRI-ESM2-0 (Yukimoto et al. 2019)</li> </ul> The dataset encompasses four Shared Socio-economic Pathway (SSP) projections: <ul> <li>SSP1-2.6</li> <li>SSP2-4.5</li> <li>SSP3-7.0</li> <li>SSP5-8.5</li> </ul> Each model output has been downscaled to a resolution of 0.0703135°, corresponding to approximately 9km×9km grids before the FWI calculation. The data covers Europe spatially and temporally spans from 1950 to 2080, offering comprehensive insights into past, present, and future fire weather conditions. This dataset supports the manuscript titled "The fire weather in Europe: large-scale trends towards higher danger" by Hetzer et al., currently under review in ERL. Detailed instructions for accessing the data can be found in the included README file.  Note: Downloads are password protected. Please use "FWI_2024" for access.   Funding: The authors acknowledge the financial support of the European Union’s Horizon 2020 research and innovation action for the FirEUrisk project under grant agreement ID: 101003890.

Processed model outputs for "South Asian summer monsoon enhanced by the uplift of Iranian Plateau in Middle Miocene"

This dataset contains processed model outputs from modeling experiments performed in Zuo et al. (2024), including a set of 12 experiment with different CO2 concentrations and topography during the Middle Miocene. Due to space limitations, we provide the summer(JJA) mean climatology data for each experiment and some data that can be used to reproduce the figures in this paper. The raw data can be obtained by contacting the corresponding author. Table 1. Simulations performed with CESM1.2 in this study. <table> <tbody> <tr> <td> experiment </td> <td> Geolography </td> <td> vegetation </td> <td> CO2 (ppm) </td> <td> IP </td> <td> HM </td> </tr> <tr> <td> piControl </td> <td> Modern </td> <td> Modern </td> <td> 280 </td> <td> Modern </td> <td> Modern </td> </tr> <tr> <td> MMIO (IP100HM80) </td> <td> M.Miocene* </td> <td> M.Miocene </td> <td> 400 </td> <td> M.Miocene </td> <td> M.Miocene </td> </tr> <tr> <td> IP0HM0 </td> <td> M.Miocene </td> <td> M.Miocene </td> <td> 400 </td> <td> 0 </td> <td> 0 </td> </tr> <tr> <td> IP50HM0 </td> <td> M.Miocene </td> <td> M.Miocene </td> <td> 400 </td> <td> 50% </td> <td> 0 </td> </tr> <tr> <td> IP100HM0 </td> <td> M.Miocene </td> <td> M. Miocene </td> <td> 400 </td> <td> 100% </td> <td> 0 </td> </tr> <tr> <td> IP0HM100 </td> <td> M.Miocene </td> <td> M.Miocene </td> <td> 400 </td> <td> 0 </td> <td> 100%** </td> </tr> <tr> <td> IP50HM100 </td> <td> M.Miocene </td> <td> M.Miocene </td> <td> 400 </td> <td> 50% </td> <td> 100% </td> </tr> <tr> <td> IP100HM100 </td> <td> M. Miocene </td> <td> M. Miocene </td> <td> 400 </td> <td> 100% </td> <td> 100% </td> </tr> <tr> <td> MMIO280 </td> <td> M. Miocene </td> <td> M.Miocene </td> <td> 280 </td> <td> M. Miocene </td> <td> M.Miocene </td> </tr> <tr> <td> MMIO560 </td> <td> M. Miocene </td> <td> M.Miocene </td> <td> 560 </td> <td> M. Miocene </td> <td> M.Miocene </td> </tr> <tr> <td> MMIO800 </td> <td> M. Miocene </td> <td> M.Miocene </td> <td> 800 </td> <td> M. Miocene </td> <td> M.Miocene </td> </tr> <tr> <td> MMIO1000 </td> <td> M.Miocene </td> <td> M.Miocene </td> <td> 1000 </td> <td> M. Miocene </td> <td> M.Miocene </td> </tr> </tbody> </table> *M.Miocene: Middle Miocene ** 100% of the height of modern HM.