Estimating continental and terrestrial precipitation averages from rain-gauge networks

Oceanic and Terrestrial Sources of Continental Precipitation

[1] The most important sources of atmospheric moisture at the global scale are herein identified, both oceanic and terrestrial, and a characterization is made of how continental regions are influenced by water from different moisture source regions. The methods used to establish source-sink relationships of atmospheric water vapor are reviewed, and the advantages and caveats associated with eac...

Estimating Watershed-Scale Precipitation by Combining Gauge

4 Watershed modeling requires accurate estimates of precipitation, however in some cases 5 it is necessary to simulate streamflow in a watershed for which there is no precipitation gauge 6 records within close proximity to the watershed. For such cases, we propose an approach for 7 estimating watershed-scale precipitation by combining (or fusing) gauge-based precipitation 8 time series with rad...

Estimating averages from distributions of tone durations.

We examined whether estimating average duration was influenced by the distribution peak location. We presented participants with samples of various tone durations and then presented comparison tone durations. Participants judged whether each comparison duration was longer than the average sample duration. Estimates of the averages were inferred from the psychophysical functions. The durations w...

Warm Rain Precipitation Processes

Estimating Customer and Time Averages

In this paper we establish a joint central limit theorem for customer and time averages by applying a martingale central limit theorem in a Markov framework. The limiting values of the two averages appear in the translation terms. This central limit theorem helps to construct confidence intervals for estimators and perform statistical tests. It thus helps determine which finite average is a mor...