Extraction of information content from stochastic disaggregation and bias corrected downscaled precipitation variables for crop simulation

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Extraction of information content from stochastic disaggregation and bias corrected downscaled precipitation variables for crop simulation

Ashok K. Mishra - Nama Orang; Amor V. M. Ines - Nama Orang; Vijay P. Singh - Nama Orang; James W. Hansen - Nama Orang;

Abstract

We applied a simple statistical downscaling procedure for transforming daily global climate model (GCM) rainfall to the scale of an agricultural experimental station in Katumani, Kenya. The transformation made was two-fold. First, we corrected the rainfall frequency bias of the climate model by truncating its daily rainfall cumulative distribution into the station’s distribution based on a prescribed observed wet-day threshold. Then, we corrected the climate model rainfall intensity bias by mapping its truncated rainfall distribution into the station’s truncated distribution. Further improvements were made to the bias corrected GCM rainfall by linking it with a stochastic disaggregation scheme to correct the time structure problem inherent with daily GCM rainfall. Results of the simple and hybridized GCM downscaled precipitation variables (total, probability of occurrence, intensity and dry spell length) were linked with a crop model for a more objective evaluation of their performance using a non-linear measure based on mutual information based on entropy. This study is useful for the identification of both suitable downscaling technique as well as the effective precipitation variables for forecasting crop yields using GCM’s outputs which can be useful for addressing food security problems beforehand in critical basins around the world.

Keywords Downscaling, GCM, Mutual information, Crop model, Food security

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Informasi Detail

Judul Seri: Stochastic Environmental Research Risk Assessment February 2013, Volume 27, Issue 2, pp 449-457
No. Panggil: -
Penerbit: : Springer-Verlag., 2013
Deskripsi Fisik: Stochastic Environmental Research Risk Assessment February 2013, Volume 27, Issue 2, pp 449-457
Bahasa: English
ISBN/ISSN: 1436-3259
Klasifikasi: -
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: -
Edisi: -
Subjek: ILMU LINGKUNGAN
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Ety

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Extraction of information content from stochastic disaggregation and bias corrected downscaled precipitation variables for crop simulation

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