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Dataset results
7 results for “t2m”
Great Lakes WRF-FVCOM model ensemble outputs: Summer 2018 daily LST and T2m
<p>Postprocessed model data for the paper: "Coupled Lake-Atmosphere-Land Physics Uncertainties in a Great Lakes Regional Climate Model"</p> <p>Perturbed Physics Ensemble outputs from a coupled lake-atmosphere-land Great Lakes regional model: <br>- Time period: May, June, July of 2018 <br>- Computational domain: Great Lakes region as contained within <a href="../api/records/10806629/draft/files/wrf_grid.nc/content" target="_blank" rel="noopener noreferrer">wrf_grid.nc</a> (atmosphere-land) and <a href="../api/records/10806629/draft/files/fvcom_grid.nc/content" target="_blank" rel="noopener noreferrer">fvcom_grid.nc</a> (lake).<br>- Quantities of interest: lake surface temperature and 2-m near-surface air temperature<br>- Training set: "<a href="../api/records/10806629/draft/files/wfv_global_daily_temperature_training_set.pkl/content" target="_blank" rel="noopener noreferrer">wfv_global_daily_temperature_training_set.pkl</a>" [18 members]. Associated with "<a href="../api/records/10806629/draft/files/perturbation_matrix_9variables_korobov18.nc/content" target="_blank" rel="noopener noreferrer">perturbation_matrix_9variables_korobov18.nc</a>" input model configuration matrix.<br>- Test set: "<a href="https://zenodo.org/api/records/13863491/draft/files/wfv_global_daily_temperature_test_set.pkl/content" target="_blank" rel="noopener noreferrer">wfv_global_daily_temperature_test_set.pkl</a>" [9 members]. Associated with "<a href="https://zenodo.org/api/records/13863491/draft/files/perturbation_matrix_9variables_latin_hypercube9.nc/content" target="_blank" rel="noopener noreferrer">perturbation_matrix_9variables_latin_hypercube9.nc</a>" input model configuration matrix.</p>
Hourly ERA5-land data (T2m, SD and TP) from 2015-01-01 to 2022-12-31 for Troms and Finnmark (Norway)
<p>This dataset contains hourly values of 2m air temperature, snow depth and total precipitation from the ERA5-land reanalysis from 2015-01-01 to 2022-12-31.</p> <p>The geographical area of interest corresponds to the Troms and Finnmark counties in Norway.</p> <p>Along with 10.5281/zenodo.8142734 this is to be used as input to forecast vegetation browning in Troms and Finnmark using machine learning.</p>
High-resolution T2M and RH simulated using WRF-ARW over Cyprus for 2015
<p>Meteorological data generated over Cyprus for the year 2015 using the open-source, community-based, state-of-the-art Weather Research and Forecasting (WRF-ARW) Model. The model was configured according to the operational numerical weather forecasts of the Cyprus Department of Meteorology (DoM). The meteorological fields, generated with a nested configuration setup, are at an ultra-fine spatiotemporal resolution (<em>i.e.,</em> 2 km horizontal grid spacing and 1-hour temporal frequency).</p>
Global hourly t2m storyline data in the 2015-2019 (2017-2019) period in the present (2 and 4 K warmer climates)
<p>Global hourly t2m storyline data (in the 2015-2019 (2017-2019) period in the present (2 and 4 K warmer climates) are provided in three .nc files (one file for each climate, with 2038-2040 and 2093-2095 in the model representing 2017-2019 for the 2 and 4 K warmer climates respectively). For the joint 2017-2019 period, ensemble member one used in Sánchez-Benítez et al. 2022 (see more details about the methodology used there) is provided. Meanwhile, the 2015-2016 present-climate data come from a nudged simulation which is identical to the present-climate nudged simulation described in Sánchez-Benítez et al. 2022, except that the simulation is branched off already in 1979 instead of 2017.</p>
RACMO2.3p3 monthly SMB, SEB and t2m data for Antarctica (1979-2018)
<p>This data set includes RACMO2.3p3 (Rp3) data for Antarctica for various model settings at 27 km resolution. Netcdf files are available for the Greenland settings (GRL), fresh snow grain size settings (FSG), fresh dry snow metamorphism experiment (FSM), refreezing grain size experiment (RFG) and the control experiment (CON), including all changes, as is described in the manuscript 'Impact of radiation penetration on Antarctic surface melt and subsurface snow temperatures in RACMO2.3p3'.</p> <p>Monthly-accumulated (monthlyS) and monthly-averaged (monthlyA) data are available for the surface mass balance (SMB) and 2 m air temperature (t2m) for all experiments and surface energy balance (SEB) for GRL and CON. The data includes the following parameters: snow melt, refreezing, runoff, sublimation (subl), precipitation (precip), surface mass balance (smb), drifting snow erosion (sndiv), sensible heat flux (senf), latent heat flux (latf), shortwave downward radiation (swsd), shortwave upward radiation (swsu), longwave downward radiation (lwsd) and longwave upward radiation (lwsu) / net longwave radiation (lwsn). All output is available between 1979-2018 for GRL and CON; and between 1979-1990 for FSG, FSM and RFG.</p> <p>UPDATE: Added missing month for all monthlyS variables in the CON data set.</p>
RACMO2.3p3 monthly SMB, SEB, t2m and t10m data for Greenland (September 2000-2018)
<p>This data set contains RACMO2.3p3 (Rp3) output between September 2000 to 2018 and RACMO2.3p3 without energy absorption (Rp3 WIE) output between September 2000 to 2015 for Greenland at 11 km. Netcdf files are provided for monthly-accumulated (monthlyS) and monthly-averaged (monthlyA) data for the surface mass balance (SMB), surface energy budget (SEB) and temperature. The following parameters are included: 2-m air temperature (t2m), 10-m depth snow temperature (t10m), shortwave downward radiation (swsd), net shortwave radiation (swsn), longwave downward radiation (lwsd), net longwave radiation (lwsn), sensible heat flux (senf), latent heat flux (latf), surface mass balance (smb), precipitation (precip), refreezing (refreeze), sublimation (subl), drifting snow erosion (sndiv), runoff and snow melt. In addition, the topography and ice mask are added in a separate file. This data set is used in the manuscript "Impact of updated radiative transfer scheme in RACMO2.3p3 on the surface mass and energy budget of the Greenland ice sheet".</p>
Expression data from pulmonary Type 2 Myeloid (T2M) cells, Eosinophils, Neutrophils, and Macrophages, from IL-25 treated 4get mice
GEO Series GSE36392. Mus musculus. 9 samples. Type: Expression profiling by array.
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