Find research datasets worth reusing

opencc-by-4.0Feb 2020View details →

Disentangling the regional climate impacts of competing vegetation responses to elevated atmospheric CO2

The compressed file contains ModelE simulation outputs for experiments used in "Disentangling the regional climate impacts of competing vegetation responses to elevated atmospheric CO2". Included are simulations outputs specified in Table 1 of the paper: [CO2]_only: 2x[CO2]; natural vegetation with default LAI and conductance effects “off” [CO2]+Con: 2x[CO2]; natural vegetation with default LAI and conductance effects “on” [CO2]+LAI: 2x[CO2]; natural vegetation with enhanced LAI and conductance effects “off” [CO2]+LAI+Con: 2x[CO2]; natural vegetation with enhanced LAI and conductance effects “on”

opencc-by-4.0Feb 2020View details →

Data for "Characterization of composition and sources of atmospheric submicron particles in Xi'an, China during summer using an aerosol chemical speciation monitor"

The dataset used for the study of Li et al. (2020).

opencc-by-4.0Feb 2020View details →

Regional Atmospheric Climate Model 2 (RACMO2), version 2.3p2

In the 1990s the KNMI developed in cooperation with the Danish Meteorological Institute the research model RACMO based on the High Resolution Limited Area Model (HIRLAM) numerical weather prediction model. In 1993 UU/IMAU started to modify the model such that it better represented the extreme conditions over glacier surfaces. This first version of RACMO, RACMO1, combined the dynamical core of the HIRLAM model with ECHAM4 physics. The polar modified version of RACMO1 was mainly applied to the Antarctic Ice Sheet. The second version, RACMO2, combines the dynamical core of the HIRLAM model with the European Centre for Medium-range Weather Forecasts (ECMWF) Integrated Forecast System (ISF) physics. RACMO versions 2.0 and 2.1 included HIRLAM version 5.0.6 and ISF cycle CY23r4, while version 2.3 includes HIRLAM version 6.3.7 and cycle CY33r1. Due to the rapid increase in computer capacity over the years, these versions of RACMO have not only been applied to the Greenland and Antarctic Ice Sheets, but also at higher resolution to smaller areas such as Dronning Maud Land and Patagonia. For the RACMO model in general the grids are defined over the equator and then rotated to the area of interest. Grid distance is defined in fraction of degrees, which results in near equidistant grid points as long as the domain is small enough. Note that the domain is thus not on a (polar) stereographic projection plane. In the vertical, the model adopts a system of hybrid sigma levels, which evolve from terrain-following sigma levels close to the surface to pure pressure levels at higher elevation. The actual number of horizontal grid points varies per model run; in most simulations, 40 vertical layers were used. Since RACMO is a regional model, it needs external information at the lateral boundaries and sea surface. At the lateral boundary zone of the model, the temperature, specific humidity, zonal and meridional wind components, and the surface pressure are relaxed towards the fields of a global model every 6 model hours, as are the sea surface temperature and sea ice concentration. RACMO is not forced at the model top. The interior of the model is not nudged towards observations and allowed to evolve freely.

opencc-by-4.0Apr 2020View details →

Data and figures of JGR planet paper entitled "Pressure effects on the SEIS-InSight instrument, improvement of seismic records and characterization of long period atmospheric waves from ground displacements" by Raphael F. Garcia and co-authors

Data and figures of the JGR Planet paper entitled "Pressure effects on the SEIS- InSight instrument, improvement of seismic records and characterization of long period atmospheric waves from ground displacements" by Raphael F. Garcia1, Balthasar Kenda2 , Taichi Kawamura2 , A. Spiga3,4, N. Murdoch1 , P. Lognonné2, R. Widmer-Schnidrig5, N. Compaire1 , G. Orhand-Mainsant1 , D. Banfield6, W. B. Banerdt7 List of files and directories *extractAllDataFromFig.m : matlab code to extract the data in txt file from the matlab figures listed in the following directories Figure1 Figure10 Figure11 Figure2 Figure3 Figure4 Figure5 Figure6 Figure7 Figure8 Figure9 *figures_combined : combined figures for JGR paper *INSIGHT_Data : data in miniseed format used in the paper -- Deglitch_data : data after removing glitchs used in the paper -- Data_figure11 : data used for the plots in figure 11 (plots done easily with SeisGram software) *PREPRINT : preprint of the paper

opencc-by-4.0Apr 2020View details →

Analysis of well water level response to atmospheric loading from low- to high-frequency band

Data used in manuscript "Analysis of well water level response to atmospheric loading from low- to high-frequency band"

opencc-by-4.0Mar 2020View details →

Output Files of the 1-D Submodule in "The Photochemistry of Methane and Ethane in the Martian Atmosphere"

netCDF output files and the python scripts (.ipynb) used to create the plots and work in the AGU submission "The Photochemistry of Methane and Ethane in the Martian Atmosphere". file_usage.txt matches the files to the relevant figures and plotting scripts.

opencc-by-4.0May 2020View details →

Statistical model training data for "Continuous Structural Parameterization: A proposed method for representing different model parameterizations within one structure demonstrated for atmospheric convection"

Gzipped CSV files containing convection scheme inputs and outputs used for training. Column format of each file: THETA_IN_1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,Q_IN_1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,DTHETA_1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,DQ_1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28 where THETA_IN are input values of potential temperature [K], Q_IN are input values of specific humidity [kg/kg], DTHETA are changes in potential temperature due to convection [K], DQ are changes in specific humidity due to convection [kg/kg]. Key: "llcs" are simulations with Lambert-Lewis. "gr" are simulations with Gregory-Rowntree. "4xco2" have 4 x pre-industrial atmospheric carbon dioxide concentration. (Others have 1 x pre-industrial atmospheric carbon dioxide concentration.) "rh0.7" and "rh0.9" have LLCS RHCRIT set to 70% and 90% respectively. All are 30 day simulations either for January "jan" or July "jul".

Benefit of Modified Atmosphere Packaging on the overall environmental impact of the supply chain of packed strawberries

This dataset gives the raw results of Life Cycle Analysis of fresh strawberries packed in Modified Atmosphere Packaging (MAP) or conventionnel packaging (macroperfoated) stored either at ambiant temperature or refrigerated at household. These raw  data were used to draw Figures 3, 4, 5 and Figure-S1 in the associated paper "Benefit of Modified Atmosphere Packaging on the overall environmental impact of the supply chain of packed strawberries". The dataset contains also results of the sensitivity analysis povided at: - consumer  level - supermarket.

Data for "Source identification of atmospheric organic vapors in two European pine forests: Results from Vocus PTR-TOF observations"

This file consists of the time series of the measured trace gases, meteorological parameters, and the concentrations of isoprene and monoterpenes in the Landes forest and at the SMEAR Ⅱ station, which have been analyzed in the manuscript "Source identification of atmospheric organic vapors in two European pine forests: Results from Vocus PTR-TOF observations". For more details, please contact the author (haiyan.li@helsinki.fi).

Sample of initial condition data for the ABC simplified atmospheric model and data assimilation system (vn1.4da)

The file contains a link to a sample of initial condition data for use with the ABC simplified atmospheric model and data assimilation system (vn1.4da).

Supplement to "Dynamic model of photovoltaic module temperature as a function of atmospheric conditions"

This dataset contains data from two measurement campaigns in autumn 2018 and summer 2019 that were part of the BMWi project "MetPVNet", and serve as a supplement to the paper "Dynamic model of photovoltaic module temperature as a function of atmospheric conditions", published in the special edition of "Advances in Science and Research", the proceedings of the 19th EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2019. Data are resampled to one minute, and include: <ol> <li>PV module temperature</li> <li>Ambient temperature</li> <li>Plane-of-array irradiance</li> <li>Windspeed</li> <li>Atmospheric thermal emission</li> </ol> The data were used for the dynamic temperature model, as presented in the paper

opencc-zeroAug 2020View details →

Lagrangian Atmospheric Model output for the Control, Onset and Development experiments

This dataset consists of model outputs from the Control, Onset and Development experiments. Each experiment has six ensembles which were integrated for three years. 6-hourly instantaneous surface (1000hPa) zonal and meridional wind speed (m/s) between 31°S-31°N is recorded in uv1000hPa_{Control, Onset, Development}_ens{1, 2, 3, 4, 5, 6}.dat. 6-hourly accumulated precipitation (mm) between 32°S-32°N is stored in precip_{ Control, Onset, Development}_ens{1, 2, 3, 4, 5, 6}.dat. Note the precip.*dat records accumulated rainfall for the past 6 hours. The missing data is recorded as nan.

opencc-zeroAug 2020View details →

Atmospheric transport is a major pathway of microplastics to remote regions

In the recent years, a large attention has been given to pollution from plastic products as a major environmental problem. Plastics degrade into smaller particles in the environment via photodegradation, physical abrasion, hydrolysis and biodegradation. Microplastics (1 um to 5 mm size particles) have been reported to affect coral reefs, marine and terrestrial animals, as well as humans. It has been reported that about 30% of microplastics in freshwater and oceanic ecosystems are tire wear particles (TWPs), while brake wear particle (BWP) emissions constitute 55% of all non-exhaust traffic-related particle emissions and 21% of all traffic-related PM emissions. There is a general conviction that the relative contribution of TWP and BWP emissions to total transport-related emissions will grow in the near future, due to the continuous reduction of exhaust traffic-related emissions. Although transport of TWPs and BWPs via runoff and wash-out processes to the marine and/or freshwater ecosystem has been studied extensively, very little is known about how these particles are dispersed in the atmosphere and where they are deposited. This is important due to the aforementioned impact in animals and humans. They also have an environmental impact as they are derived by materials made from fossil fuels such as ethylene and propylene. Thus, larger needs of plastics result in larger emissions of greenhouse gases. Since TWPs and BWPs can become airborne and have been detected already in remote areas, they may absorbe light decreasing surface albedo and accelerating ice melting. Here, we present for the first time the results of the atmospheric dispersion and deposition of traffic-related microplastics (TWPs and BWPs). We assess the suggested emissions using two methods, one indirect based on CO2 country ratios with road microplastics and extrapolation, and another employing an emissions model, which has been extensively used to determine global emissions of various substances by IIASA-International Institute for Applied Systems Analysis (GAINS model). We calculate that 34.4–290 kt y-1 (mean: 100 kt y-1), out of 102–787 kt y-1 (mean: 284 kt y-1) of PM10 TWPs emitted, were deposited in the World Ocean, while the respective annual terrestrial and riverine discharges are about 64 kt y-1. This shows that direct deposition of airborne road microplastics is likely the most important source for the ocean and marine biota. The calculated transport of PM10 road microplastics shows a relatively high efficiency over remote regions such as the Arctic Ocean (14%). High latitudes and the Arctic are highlighted as an important receptor of mid-latitude microplastic emissions, which may imply a future climatic risk taking into account that TWPs and BWPs constitute a small portion of the total plastic emissions. As of now, snow concentrations of road microplastics are 100 times lower than those of black carbon or polymers of larger usage (e.g., PVC or PPC). Around 15% of the PM2.5 road microplastic emissions were deposited in the Atlantic Ocean, whereas coarse particles were less efficiently deposited there (10-11%). The efficiency of PM2.5 deposition (TWPs: 19% - BWPs: 18%) over the Pacific Ocean was even more strongly enhanced relative to PM10 deposition (TWPs: 12% - BWPs: 11%), due to their smaller size. Transport efficiencies of coarse particles were up to twice of those for the fine particles in areas surrounded by microplastic emissions sources (e.g., Alps, Mediterranean, Baltic and South China Seas).

opencc-by-4.0Aug 2020View details →

Trajectories for 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport''

This is the trajectories output for the article  'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport''. The settings for FLEXPART-WRF is also included.

opencc-zeroAug 2020View details →

Influence of annealing atmosphere on performances of CIGS film by sputtering from quaternary targets

Quaternary sputtering without additional selenization is a low-cost alternative method for the preparation of Cu(InGa)Se2 (CIGS) thin film for photovoltaics. However, the device efficiency without selenization is much lower than that with selenization. To illuminate the issue, we compared the properties of absorbers including the morphology, depth profile, composition, electrical properties and the recombination mechanism comprehensively. The results revealed that the superficial Se of CIGS film annealed in Se-free atmosphere is less than that annealed in Se-containing atmosphere,and the loss of Se reduced the carrier concentration and enhanced the resistivity of CIGS film. Besides, the loss of Se caused the dominant recombination mechanism to be CIGS/CdS interface recombination. The increase of interface recombination was considered to be the reason for the reduced efficiency of the device annealed in Se-free atmosphere.

opencc-zeroSep 2020View details →

Data from: Paleolimnological assessment of wildfire-derived atmospheric deposition of trace metal(loid)s and major ions to subarctic lakes (Northwest Territories, Canada)

Wildfires release terrestrial elements to the atmosphere as aerosols, and these events are becoming more frequent and intense in the Arctic boreal forest as the climate is warming. We quantified the impact of atmospheric deposition of aerosols from local wildfires on metal(loid) fluxes using macroscopic charcoal accumulation rates, historical fire mapping, and element concentrations in 210Pb‐dated lake sediment from five subarctic lakes with small catchments. Lake sediments showed small but significant increases in fluxes (median = 5–10%) for 22 trace metals, metalloids, or major ions following fire events. The impact of wildfire aerosols on element fluxes was mostly due to short‐term (≤2 years) increasing sedimentation rate (6 ± 41% increase), whereas sediment element concentrations were not strongly impacted. Wildfire‐associated deposition to lake sediments was mainly composed of Ca, Al, Fe, Mg, K, Mn, and Na, which are major constituents of ash from burned biomass, but changes in sediment flux were greatest for Sb, As, Ni, Ba, Mn, Mo, and Sr compared to pre‐disturbance conditions. Compared to anthropogenic sources of pollution, wildfire‐associated atmospheric fluxes of metal contaminants to the lakes (e.g., Hg, Pb, As, Sb, and Cd) were low. This study provides quantitative estimates of wildfire impacts on atmospheric geochemical fluxes to subarctic lakes, which can be used for modeling larger‐scale impacts under changing fire regimes.

opencc-by-4.0Sep 2020View details →

Trajectory Movie for the article 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport'

The supplement movie for the article 'A Lagrangian view of the atmospheric river related to the heavy rainfall of July 2020 in Japan: Importance of moisture gain during transport'.

opencc-by-4.0Sep 2020View details →

Data used for figures and tables in "Increase in ocean acidity variability and extremes under increasing atmospheric CO2"

The data used to create the figures and tables in the paper: Burger, Friedrich A., John, Jasmin G., and Frölicher, Thomas L., "Increase in ocean acidity variability and extremes under increasing atmospheric CO2", Biogeosciences, in press, 2020.

opencc-by-4.0Oct 2020View details →

Atmospheric responses to partial SST perturbations simulated by MIROC5 and 6

Ogura, T. and Webb, M. J., Positive low cloud feedback primarily caused by increasing longwave radiation from the sea surface in climate models. Files in netCDF format contain data from Figs.1-4 and Figs. S1-S6 in the above manuscript. All data are monthly climatology. Any queries please contact Tomoo Ogura ogura@nies.go.jp