Forecast Report with Analog Years-Somalia MAM

Introduction

This is the Somalia March Sorghum forecast report. The goal is to assist users in evaluating current forecasts in the context of past forecasts and to translate the forecast component into key assumptions about food security.

The report includes the following key components:

1. A verbal summary of assumptions based on the statistics in this forecast

2. Mean Area, Production, and Yield over the years 2010-2020:This provides context for interpreting the grain data

3. Historical Out of Sample Forecast Error Averaged Over a 10 Year+ Period. We show the Mean Absolute Percent Error (MAPE).

4. Yield Forecast, (based on March 2023 Precip, NDVI, Et0 ) expressed as percent of mean yield over the period 2012 - 2022.

Assumption Statements

Average Forecast Error For This Point in the Season

At this point in the season historical forecast error, is on average, below 40% for the admin units used in the forecast.

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Admin Units Forecast to have Above or Below Average Yields

Of the admin units used in the forecast:

Averages are based on the most recent 10 year period of observed yields: (2010-2020)

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The forecast identifies severe yield issues (lowest on record) in the following Admin Unit 2-zones:

The forecast identifies substantially below-average yields (among the lowest 3 on record) in the following Admin Unit 2-zones:

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Summary Figures

Mean area, production, and yields for the years 2010-2020 .

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Out of Sample Forecast Error (MAPE)

Mean Absolute Percent Error (MAPE) calculated based on historical out of sample seasonal forecasts. Lower scores indicate greater accuracy. Forecasts are based on model type MODEL¹

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Yield Forecast for March 2023

Forecast values expressed as percent of Mean Yields over the Years 2010-2020 .

The figure shows predicted percent of mean (center) as well as lower (left) and higher (right) predicted percent of mean intervals.

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Static and Dynamic Version of Main Forecast

Roll over the polygon borders to get the district name and % of mean forecast value.

Static Version

This map shows the main % of mean forecast value along with district labels for reference.

Discrete Map

This map shows the main % of mean forecast binned into discrete values. Averages are based on the most recent 10 year period of observed yields: 2012 - 2022

This table shows the forecast percentage of mean values in the above table along with the mean yield values from the first figure.

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Table of Mean Yields and Predicted Percent of Mean Values

District	% of mean	% of mean (low)	% of mean (high)
Hargeysa	70	33	70
Gabiley	84	63	84
Bulo-Burte	98	46	98
Jalalaqsi	147	130	147
Aadan Yabaal	118	105	118
Balcad	60	39	60
Cadale	64	64	64
Afgooye	106	77	106
Qoryooley	83	66	83
Wanla Weyn	92	67	92
Baydhabo	76	21	76
Buur Hakaba	104	63	104
Diinsoor	63	43	63
Qansax Dheere	94	50	94
Xudur	118	93	118
Tiyeglow	125	112	125
Waajid	91	72	91
Garbahaarey	140	119	140
Baardheere	89	77	89
Luuq	62	39	62
Bu'aale	122	70	122
Saakow	142	120	142
Afmadow	144	113	144

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# Analog Year Forecasts Yield forecasts in analog years. <–DESCRIPTION OF ANALOG YEAR PROCESS–>.
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# Analog Year Forecasts Errors Forecast errors in analog years. If observed data is not available in a given year we cannot calculate forecast errors. Values are expressed a percentage of observed yields in a given year (t):

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\[\frac{(observed_{(t)}-forecast_{(t)})}{observed_{(t)}}\] ***

Positive (+) values indicate an under prediction. Negative (-) values indicate an over prediction.

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1. Extra/Extended Trees. A type of Random Forest Model↩︎