WueData (Univ Würzburg)
Not a member yet
185 research outputs found
Sort by
Cold Wave Duration Index (cwdi)
cdo -eca_cwdi TN.nc -ydrunmean,5 TNref.nc out.ncDuration of cold wave: Let TNt be the daily maximum temperature on day t and TN’t be the climatological average of a running 5 day mean (1981-2010), then cwdi is the longest period of consecutive days (≥ 6 days) in one year, where TNt < TN’t -5°C
Highest 1-day Precipitation (rx1day)
cdo -yearmax RR.nc out.ncHighest single day precipitation: Let RRt be the daily precipitation amount on day t. For rx1day search the maximum value of RRt in one year
Total Precipitation in Rainy Season (rtotrs)
cdo -yearsum -ifthen -gec,1 RRmask.nc RRmask.nc out.ncAnnual precipitation sum in rainy season: Let RRt be the daily precipitation amount on day t. For rtotrs sum up RRt for all days in one year where RRt ≥ 1mm, but only in rainy season which means rs1_ons≤t≤rs1_ces or rs2_ons≤t≤rs2_ces, for climatological rs1_ons, rs1_ces, rs2_ons, rs2_ces
Warm Nights Percent (tn90p)
cdo -eca_tn90p -ydrunpctl,90,5 TNref.nc -ydrunmin,5 TNref.nc -ydrunmax,5 TNref.nc out.ncPercentage of warm nights: Let TNt be the daily minimum temperature on day t and let TNin90 be the calendar day 90th percentile centred on a 5-day window for the base period 1981-2010. The percentage of time for the base period is determined where TNt > TNin90
Thermodynamic Stability at the Two-Particle Level - Numerical results for the two-orbital Hubbard model (beta = 35 two-particle functions, further additional results for U = 1.465, μ = 1.42)
This dataset contains a part of the DMFT/QMC results for the example of the two-orbital Hubbard model shown in the article "Thermodynamic Stability at the Two-Particle Level". It contains further additional statistically independent results (i.e. using multiple different PRNG seeds) for the two-particle Green's functions at inverse temperature beta = 35, Hubbard interaction parameter U = 1.465, and chemical potential μ = 1.42, calculated to assess the result quality. Other numerical results can be found in the main dataset listed under related identifiers and its other subdatasets.All data files are zstd-compressed HDF5 output files as generated by w2dynamics for worm-sampling calculations of the two-particle Green's functions of the auxiliary impurity problem of two-orbital Hubbard models on a Bethe lattice with density-density interaction with fixed ratios between the interaction coefficients at inverse temperature beta = 35, Hubbard interaction parameter U = 1.465, and chemical potential μ = 1.42. The individual file names contain a PRNG seed index, e.g. '_s11_' for index 11 (with indices 1 and 2 to 10 found in one of the other datasets each). More detailed descriptions and instructions can be found in the included readme file or the technical remarks on the main dataset.We are grateful for funding support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy through the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ct.qmat (EXC 2147, Project ID 390858490) as well as through the Collaborative Research Center SFB 1170 ToCoTronics (Project ID 258499086)
Thermodynamic Stability at the Two-Particle Level - Numerical results for the two-orbital Hubbard model (beta = 50 two-particle functions, additional results for U = 1.4920 and U = 1.4930)
This dataset contains a part of the DMFT/QMC results for the example of the two-orbital Hubbard model shown in the article "Thermodynamic Stability at the Two-Particle Level". It contains additional statistically independent results (i.e. using multiple different PRNG seeds) for the two-particle Green's functions at inverse temperature beta = 50 and Hubbard interaction parameters U = 1.4920 and U = 1.4930. Other numerical results can be found in the main dataset listed under related identifiers and its other subdatasets.All data files are zstd-compressed HDF5 output files as generated by w2dynamics for worm-sampling calculations of the two-particle Green's functions of the auxiliary impurity problem of two-orbital Hubbard models on a Bethe lattice with density-density interaction with fixed ratios between the interaction coefficients at inverse temperature beta = 50 and Hubbard interaction parameter U = 1.4920 or U = 1.4930. The individual file names contain the Hubbard-U interaction strength, e.g. '_U1.46_' for U=1.46, the chemical potential μ, e.g. '_mu1.33380_' for μ=1.3338, the letter 'u'(pward), 'd'(ownward), or 'i'(nstable) indicating a procedural detail that is related to the phase if the parameters of the solution are in the coexistence region (the corresponding phases are the insulating or strongly correlated metallic one, the weakly correlated metallic one, and the unstable metallic one respectively), and a PRNG seed index, e.g. '_s2_' for index 2. More detailed descriptions and instructions can be found in the included readme file or the technical remarks on the main dataset.We are grateful for funding support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy through the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ct.qmat (EXC 2147, Project ID 390858490) as well as through the Collaborative Research Center SFB 1170 ToCoTronics (Project ID 258499086)
Climate Indicators: Cold Wave Duration Index (cwdi)
cdo -eca_cwdi TN.nc -ydrunmean,5 TNref.nc out.ncDuration of cold wave: Let TNt be the daily maximum temperature on day t and TN’t be the climatological average of a running 5 day mean (1981-2010), then Cwdi is the longest period of consecutive days (≥ 6 days) in one year, where TNt < TN’t -5°C
Climate Indicators: Rainy Days (rd)
cdo -yearsum -gec,1 RR.nc out.ncNumber of rainy days: Let RRt be the daily precipitation amount on day t. For Rd count all days in one year where RRt ≥ 1mm
Climate Indicators: Standardized Precipitation Index (spi)
Standardized Precipitation Index: A precipitation anomaly is considered relativ to the mean precipitation of a reference period (1981-2010) and based on the underlying statistical distribution (Gamma). The anomlies are considered over different months (3, 6, 9, 12). (More information under: https://climate-indices.readthedocs.io/en/latest/
Crop Indicators: Sorghum_S
Crop water need: Let ET0i be the daily potential evapotranspiration [mm] for day i, and Kc(pl,ph) the crop factor per plant pl and phase ph, and s(pl,ph) and e(pl,ph) the corresponding start and end day of pl and ph then CWN(pl,ph) is the daily average of the product of Kc(pl,ph) and ET0i, for s(pl,ph)≤ i < e(pl,ph) and s(pl,IS) = climatological ons (of rs1). Water deficit: Let CWN(pl,ph)i be the daily crop water need and efftpi the daily effective precipitation (which is 0mm for daily precipitation < 6.5mm, is 75mm for daily precipitation ≥ 75mm, and else the daily precipitation RRi), then Ir(pl,ph) is the daily average of the difference of cwn and efftp per plant and phase. Water balance: Let ETi be the daily actual evapotranspiration [mm] (calculated by the daily surface latent heat flux) then WA is the daily average of the difference of the daily precipitation and ETi per plant and phase