Evaluation of a statistical forecast methodology for soil moisture conditions in the Pampas region, Argentina

One of the available tools for monitoring soil dryness and excessive wetness is the Standarized Precipitation Index (SPI). Three years ago, a methodology for monitoring and monthly statistical prediction of the SPI in the Pampas region of Argentina was put into operation. The aim of this paper is to...

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Autor principal: Martin, Paula Beatriz
Publicado: 2010
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03276244_v27_n1_p11_Serio
http://hdl.handle.net/20.500.12110/paper_03276244_v27_n1_p11_Serio
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spelling paper:paper_03276244_v27_n1_p11_Serio2023-06-08T15:33:26Z Evaluation of a statistical forecast methodology for soil moisture conditions in the Pampas region, Argentina Martin, Paula Beatriz Drought Forecast Pampas region Probability Wetness excess One of the available tools for monitoring soil dryness and excessive wetness is the Standarized Precipitation Index (SPI). Three years ago, a methodology for monitoring and monthly statistical prediction of the SPI in the Pampas region of Argentina was put into operation. The aim of this paper is to evaluate these forecasts. First, the SPI calculation methodology is described, and so are those aspects taken into account in order to issue the forecasts. Then, some results of the evaluation by means of contingence tables are shown. Considering the whole region, the percentage of success for the predicted SPI category was 78 % and the contingence coefficient was 0.65. Fil:Martin, P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03276244_v27_n1_p11_Serio http://hdl.handle.net/20.500.12110/paper_03276244_v27_n1_p11_Serio
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Drought
Forecast
Pampas region
Probability
Wetness excess
spellingShingle Drought
Forecast
Pampas region
Probability
Wetness excess
Martin, Paula Beatriz
Evaluation of a statistical forecast methodology for soil moisture conditions in the Pampas region, Argentina
topic_facet Drought
Forecast
Pampas region
Probability
Wetness excess
description One of the available tools for monitoring soil dryness and excessive wetness is the Standarized Precipitation Index (SPI). Three years ago, a methodology for monitoring and monthly statistical prediction of the SPI in the Pampas region of Argentina was put into operation. The aim of this paper is to evaluate these forecasts. First, the SPI calculation methodology is described, and so are those aspects taken into account in order to issue the forecasts. Then, some results of the evaluation by means of contingence tables are shown. Considering the whole region, the percentage of success for the predicted SPI category was 78 % and the contingence coefficient was 0.65.
author Martin, Paula Beatriz
author_facet Martin, Paula Beatriz
author_sort Martin, Paula Beatriz
title Evaluation of a statistical forecast methodology for soil moisture conditions in the Pampas region, Argentina
title_short Evaluation of a statistical forecast methodology for soil moisture conditions in the Pampas region, Argentina
title_full Evaluation of a statistical forecast methodology for soil moisture conditions in the Pampas region, Argentina
title_fullStr Evaluation of a statistical forecast methodology for soil moisture conditions in the Pampas region, Argentina
title_full_unstemmed Evaluation of a statistical forecast methodology for soil moisture conditions in the Pampas region, Argentina
title_sort evaluation of a statistical forecast methodology for soil moisture conditions in the pampas region, argentina
publishDate 2010
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03276244_v27_n1_p11_Serio
http://hdl.handle.net/20.500.12110/paper_03276244_v27_n1_p11_Serio
work_keys_str_mv AT martinpaulabeatriz evaluationofastatisticalforecastmethodologyforsoilmoistureconditionsinthepampasregionargentina
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