Extreme Rainfall Indices and its Effect on Meher Season Crop Calendar: An Agro-Climatic Zone Based Study

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Supplementary Files
Authors

Enyew Azene Meharie, Mintesinot Azene Taye , Melkamu Meseret Alemu, Adane Tesfaye Lema

Abstract

The study analyzed the daily extreme rainfall indices and its consequences on Meher (summer) season cereal crop calendar in the agro-climatic zones (ACZs) of a watershed. Long-term (1981-2019) rainfall data for 50 sample grid points with a spatial resolution of 5 5 km from Climate Hazards Group Infrared Precipitation (CHIRPS) was considered. Focus group discussions were employed to identifying the local crop calendars and consequences of extreme rainfall events. Mann Kendall's (MK) and Sen's slop statistics were used to define the trends, statistical significance, and magnitude of the changes in extreme rainfall indices. The upward and downward signals were found for different crop calendars of the ACZs. Most of the increasing trends were observed for the land preparation period (LPP), sowing and management period (SaMP), and harvesting and threshing period (HaTP) field operations in the highland zone, midland zone, and all ACZs, respectively. In contrast, some of the downward trends in extreme rainfall indices were observed for LPP and SaMP in the cold-highland zone and highland zone, and HaTP was observed to be the same in all ACZs. The upward and downward signals of the indices could have negative consequences for existing cereal crop production in the watershed.

DOI

https://doi.org/10.31223/X57946

Subjects

Geography

Keywords

agro-climatic zones, climatic hazard, Crop calendar, rain-fed agriculture

Dates

Published: 2023-03-15 11:18

Last Updated: 2023-03-15 11:18

License

CC BY Attribution 4.0 International

Additional Metadata

Data Availability (Reason not available):
The raw data set (satellite imagery) is available in the website. It can be accessed by any body.

Conflict of interest statement:
We declarer that there is no any financial or non-financial, professional, or personal conflict of interest on the current study.