Basin average rainfall and its sampling error

Computation of Average Rainfall over a Basin:

Estimation of Rainfall and its Error Characteristics from Satellite Observations

Currently, rainfall retrieval over ocean from passive microwave satellite observations represents the best compromise between estimation accuracy and spatial data coverage. Infrared data is available with higher temporal frequency from geostationary satellites but the link of top-of-the-atmosphere infrared emission to near-surface rainfall is very indirect. Therefore, all algorithms have to exp...

Uncertainty and sampling error.

Medical research is conducted to help to reduce uncertainty. For example, randomised controlled trials aim to answer questions relating to treatment choices for a particular group of patients. Rarely, however, does a single study remove uncertainty. There are two reasons for this: sampling error and other (non-sampling) sources of uncertainty. The word “error” comes from a Latin root meaning “t...

Equilibrium thermodynamics from basin-sampling.

We present a "basin-sampling" approach for calculation of the potential energy density of states for classical statistical models. It combines a Wang-Landau-type uniform sampling of local minima and a novel approach for approximating the relative contributions from local minima in terms of the volumes of basins of attraction. We have employed basin-sampling to study phase changes in atomic clus...

Row and Column Elimination Sampling Design +1 and its Efficiencies

Extended Abstract. It is a traditional way in biological, sociological, agricultural and geological studies to partition a geographical area into quadrats and then take a sample of them by a particular sampling design. We study the relevant characteristic of quadrats to estimate a parameter of the population. We suppose that the variable of interest has a positive spatial autocorrelation. Sampl...