On the validation of models

TL;DR: In this article, a well-validated 3D numerical model was used to simulate and analyze the residual water and salt transport, water diversion ratio (WDR) in bifurcated channels and water resources in the Changjiang Estuary in 2007 and 2017.

TL;DR: This study simulates hydrological processes in the Mahanadi Reservoir catchment under various climate and land use scenarios, revealing significant impacts of land use changes on streamflow and evapotranspiration, with implications for water resource management in the face of climate change.

TL;DR: The data-driven Bayesian probabilistic and machine learning prediction models (i.e., back-propagation artificial neural network, multi-gene genetic programming and support vector machine) with high accuracy are presented with outstanding predictive performance.

TL;DR: In this paper, the authors modeled the spatial distribution of northern bobwhite populations using landscape characteristics derived from 1992 National Land Cover Data and bird detections, from 1990 to 1994, along 10-stop Breeding Bird Survey route segments.

TL;DR: In this paper, an equation that predicts downcoming long-wave radiation from clear skies on the basis of screen air temperature and vapor pressure has been developed, which fits measured data at extremes of temperature and humidity better than existing equations, and exhibits comparable accuracy at intermediate values.

TL;DR: In this paper, an empirical method for interpolating monthly precipitation totals within California is described and evaluated using 120 monthly precipitation total observed from 1961-1970 at each of 90 randomly selected stations in California and a P-mode principal components analysis of a co-variance matrix, four independent sources of precipitation variability were identified and quantitatively paraphrased.

TL;DR: In this article, a numerical model based on standard meteorological data, as described above, can be used to extend the data base for design purposes, and the model is used to compute the amount of direct solar flux.

TL;DR: In this paper, the maximum likelihood estimators of α and β under functional and structural models are discussed, and the least square procedure is also considered, leading to a quadratic equation which can be solved to give an estimate of β.