Analysing Daily Rainfall Measurements to Give Agronomically Useful Results. I. Direct Methods
- 1 January 1982
- journal article
- research article
- Published by Cambridge University Press (CUP) in Experimental Agriculture
- Vol. 18 (3), 223-236
- https://doi.org/10.1017/s001447970001379x
Abstract
Simple methods are described for the analysis of daily rainfall measurements. The distinctive feature is that each year provides one number for any event or characteristic of interest. The resulting observations are then analysed, assuming that they are a simple random sample from a single distribution. An estimate of the probability of an event can be made directly from its relative frequency of occurrence, or alternatively a distribution (such as the normal) can be fitted. The methods are applied to agronomic questions on dry spells, the start, end and length of the growing season, and the distribution of amounts of rainfall through the year. Examples are given from Nigeria and India.Keywords
This publication has 8 references indexed in Scilit:
- Analysing Daily Rainfall Measurements to Give Agronomically Useful Results. II. A Modelling ApproachExperimental Agriculture, 1982
- RAINFALL SEQUENCES IN NORTHERN MALAWIWeather, 1981
- Rainfall Statistics: An Interactive Approach to Analysing Rainfall Records for Agricultural PurposesExperimental Agriculture, 1981
- The start of the growing season in Northern NigeriaAgricultural Meteorology, 1977
- Gamma Distribution Probability Model for Asian Summer Monsoon Monthly RainfallMonthly Weather Review, 1973
- The Rainy Pentads of Central AmericaJournal of Applied Meteorology, 1972
- Expected Rainfall and Kenya Agriculture-Confidence Limits for Large Areas at Minimum CostExperimental Agriculture, 1970
- A GENERALIZED PROBABILITY MODEL FOR SEQUENCES OF WET AND DRY DAYSMonthly Weather Review, 1970