Probabilistic Forecasts of the Onset of the North Australian Wet SeasonSource: Monthly Weather Review:;2007:;volume( 135 ):;issue: 010::page 3506DOI: 10.1175/MWR3473.1Publisher: American Meteorological Society
Abstract: The amount and timing of early wet-season rainfall are important for the management of many agricultural industries in north Australia. With this in mind, a wet-season onset date is defined based on the accumulation of rainfall to a predefined threshold, starting from 1 September, for each square of a 1° gridded analysis of daily rainfall across the region. Consistent with earlier studies, the interannual variability of the onset dates is shown to be well related to the immediately preceding July?August Southern Oscillation index (SOI). Based on this relationship, a forecast method using logistic regression is developed to predict the probability that onset will occur later than the climatological mean date. This method is expanded to also predict the probabilities that onset will be later than any of a range of threshold dates around the climatological mean. When assessed using cross-validated hindcasts, the skill of the predictions exceeds that of climatological forecasts in the majority of locations in north Australia, especially in the Top End region, Cape York, and central Queensland. At times of strong anomalies in the July?August SOI, the forecasts are reliably emphatic. Furthermore, predictions using tropical Pacific sea surface temperatures (SSTs) as the predictor are also tested. While short-lead (July?August predictor) forecasts are more skillful using the SOI, long-lead (May?June predictor) forecasts are more skillful using Pacific SSTs, indicative of the longer-term memory present in the ocean.
|
Collections
Show full item record
contributor author | Lo, Fiona | |
contributor author | Wheeler, Matthew C. | |
contributor author | Meinke, Holger | |
contributor author | Donald, Alexis | |
date accessioned | 2017-06-09T17:28:48Z | |
date available | 2017-06-09T17:28:48Z | |
date copyright | 2007/10/01 | |
date issued | 2007 | |
identifier issn | 0027-0644 | |
identifier other | ams-86018.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4229530 | |
description abstract | The amount and timing of early wet-season rainfall are important for the management of many agricultural industries in north Australia. With this in mind, a wet-season onset date is defined based on the accumulation of rainfall to a predefined threshold, starting from 1 September, for each square of a 1° gridded analysis of daily rainfall across the region. Consistent with earlier studies, the interannual variability of the onset dates is shown to be well related to the immediately preceding July?August Southern Oscillation index (SOI). Based on this relationship, a forecast method using logistic regression is developed to predict the probability that onset will occur later than the climatological mean date. This method is expanded to also predict the probabilities that onset will be later than any of a range of threshold dates around the climatological mean. When assessed using cross-validated hindcasts, the skill of the predictions exceeds that of climatological forecasts in the majority of locations in north Australia, especially in the Top End region, Cape York, and central Queensland. At times of strong anomalies in the July?August SOI, the forecasts are reliably emphatic. Furthermore, predictions using tropical Pacific sea surface temperatures (SSTs) as the predictor are also tested. While short-lead (July?August predictor) forecasts are more skillful using the SOI, long-lead (May?June predictor) forecasts are more skillful using Pacific SSTs, indicative of the longer-term memory present in the ocean. | |
publisher | American Meteorological Society | |
title | Probabilistic Forecasts of the Onset of the North Australian Wet Season | |
type | Journal Paper | |
journal volume | 135 | |
journal issue | 10 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/MWR3473.1 | |
journal fristpage | 3506 | |
journal lastpage | 3520 | |
tree | Monthly Weather Review:;2007:;volume( 135 ):;issue: 010 | |
contenttype | Fulltext |