Rainfall Seasonality and Estimation Errors of Area-Average Rainfall

Rainfall Seasonality and the Spread of Millet Cultivation in Eurasia

Broomcorn millet (Panicum miliaceum) was known throughout Eurasia in the second millennium BC in regions with warm, moist summers, where its cultivation reduced agricultural risk. Its cultivation during the warm, but dry months at Kyzyltepa and other Iron Age sites in western Central Asia was probably made possible through irrigation practices that were long known and originally developed in th...

Computation of Average Rainfall over a Basin:

Modelling Seasonality and Trends in Daily Rainfall Data

This paper presents a new approach to the problem of modelling daily rainfall using neural networks. We first model the conditional distributions of rainfall amounts, in such a way that the model itself determines the order of the process, and the time-dependent shape and scale of the conditional distributions. After integrating over particular weather patterns, we are able to extract seasonal ...

Beamfilling Errors in Passive Microwave Rainfall Retrievals

There are currently large numbers of rainfall retrieval algorithms based upon passive microwave radiances. Most of these algorithms are physically based in that they use explicit physical assumptions to derive relationships between brightness temperatures (Tb’s) and rainfall. If these assumptions involve observable quantities, then the physical basis of the algorithms can be extended to determi...

Performance evaluation of different estimation methods for missing rainfall data

There are numerous methods to estimate missing values of which some are used depending on the data type and regional climatic characteristics. In this research, part of the monthly precipitation data in Sarab synoptic station, east Azerbaijan province, Iran was randomly considered missing values. In order to study the effectiveness of various methods to estimate missing data, by seven classic s...