WueData (Univ Würzburg)
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Climate Indicators: Extreme Temperature Range (etr)
cdo -sub -yearmax TX.nc -yearmin TN.nc out.ncDifference between the maximum of the maximum temperature and the minimum of the minimum temperature: Let TXi be the daily maximum temperature on day i and TNj be the daily minimum temperature on day j. For Etr build the difference between the maximum value of TXi per year and the minimum value of TNj per year
Climate Indicators: 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
Crop Indicators: Soybean_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
Thermodynamic Stability at the Two-Particle Level - Numerical results for the two-orbital Hubbard model (beta = 50 two-particle functions, one result per parameter set)
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 one statistically independent result (i.e. using one specific PRNG seed each) for the two-particle Green's functions at inverse temperature beta = 50. Other 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. 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, and 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). 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)
Crop Indicators: Maize_sweet_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
Remote Sensing Indicators: Land Surface Albedo
Monthly prediction of Land Surface Albedo in a spatial resolution of 1 km x 1 km based on MODIS and AVHRR datasets. for the prediction of the retrospective albedo values the STARFM algorithm was utilized within a Python environment. All available months are packed into one .zip file which can be (i) downloaded and (ii) extraced using free and open standard software (e.g. 7-zip)
Water Availability (wa) * old
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
Very Hot Days (tx35)
cdo -yearsum -gtc,35 TX.nc out.ncNumber of Extreme Hot Days: Let TXt be the daily maximum temperature on day t. For tx35 count all days in one year where TXt > 35°C
Climate Indicators: Consecutive Dry Days in Rainy Season (cddrs)
cdo -eca_cdd RRmask.nc out.ncDuration of dry period in rainy season: Let RRt be the daily precipitation amount on day t. For Cddrs count the largest number of consecutive 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
Crop Indicators: Maize_grain_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