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11#
發(fā)表于 2025-3-23 11:20:04 | 只看該作者
Tarifvertrag Mobiles Arbeiten (TV MobA),end and evaluate recovery of the species in Portugal. The number of hunted animals caught in various hunting resorts is used as an indirect measure for the effective population size and distribution. The main output of the proposed tool consists of spatial maps illustrating the yearly abundance of t
12#
發(fā)表于 2025-3-23 16:16:58 | 只看該作者
13#
發(fā)表于 2025-3-23 18:32:53 | 只看該作者
Tarifvertrag Mobiles Arbeiten (TV MobA),uced maps of average annual precipitation (.) and reference crop evapotranspiration (.). Using a simple bucket model, daily series of actual evapotranspiration and total runoff were calculated, from which average annual actual evapotranspiration, ., and total runoff, ., were obtained. Considering av
14#
發(fā)表于 2025-3-24 01:42:53 | 只看該作者
15#
發(fā)表于 2025-3-24 04:07:21 | 只看該作者
https://doi.org/10.1007/978-3-8349-9799-9ssivity field, that honour measurements of transmissivity and dependent variables (heads, concentrations, etc.). Soft data (e. g. geophysics) can also be included in the conditioning procedure as a external drift. Moreover, spatial variability patterns of the “real” field (as observed through field
16#
發(fā)表于 2025-3-24 08:41:11 | 只看該作者
17#
發(fā)表于 2025-3-24 13:25:22 | 只看該作者
18#
發(fā)表于 2025-3-24 15:36:09 | 只看該作者
Erstversorgung des Notfallpatienten,r analysis employs random domain decomposition to derive robust moment equations for flow in composite porous media. The approach accounts explicitly for the multi-scale effects of material and geometric uncertainties on the ensemble moments of head and flux. We use an indicator-based geostatistical
19#
發(fā)表于 2025-3-24 19:33:28 | 只看該作者
Thomas Schneider,Benno Wolcke,Roman B?hmernsmissivity is modeled by a Random Stochastic Function. It is common practice to fix the parameters that parameterize the adopted Random Stochastic Function Model. This paper presents a study that investigates to which extend the simulation results are influenced in case we do not fix these paramete
20#
發(fā)表于 2025-3-25 01:41:55 | 只看該作者
Two Statistical Methods for Improving the Analysis of Large Climatic Data Sets: General Skewed Kalma to introduce skewness to state-space models without losing the computational advantages of the Kalman filter operations. The motivation stems from the popularity of state-space models and statistical data assimilation techniques in geophysics, specially for forecasting purposes in real time. The ad
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