Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria

Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The...
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Autor*in:	Ibrahim, Ishiaku [verfasserIn] Usman, Muhammad T. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Drought SPI MQI mMQI Rainfall Wet periods Dry periods

Anmerkung:	© Saudi Society for Geosciences 2021

Übergeordnetes Werk:	Enthalten in: Arabian journal of geosciences - Berlin : Springer, 2008, 14(2021), 8 vom: Apr.
Übergeordnetes Werk:	volume:14 ; year:2021 ; number:8 ; month:04

Links:	Volltext

DOI / URN:	10.1007/s12517-021-07057-8

Katalog-ID:	SPR043767400

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520			\|a Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths.
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allfields	10.1007/s12517-021-07057-8 doi (DE-627)SPR043767400 (SPR)s12517-021-07057-8-e DE-627 ger DE-627 rakwb eng 550 ASE Ibrahim, Ishiaku verfasserin aut Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths. Drought (dpeaa)DE-He213 SPI (dpeaa)DE-He213 MQI (dpeaa)DE-He213 mMQI (dpeaa)DE-He213 Rainfall (dpeaa)DE-He213 Wet periods (dpeaa)DE-He213 Dry periods (dpeaa)DE-He213 Usman, Muhammad T. verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 8 vom: Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:8 month:04 https://dx.doi.org/10.1007/s12517-021-07057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2021 8 04
spelling	10.1007/s12517-021-07057-8 doi (DE-627)SPR043767400 (SPR)s12517-021-07057-8-e DE-627 ger DE-627 rakwb eng 550 ASE Ibrahim, Ishiaku verfasserin aut Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths. Drought (dpeaa)DE-He213 SPI (dpeaa)DE-He213 MQI (dpeaa)DE-He213 mMQI (dpeaa)DE-He213 Rainfall (dpeaa)DE-He213 Wet periods (dpeaa)DE-He213 Dry periods (dpeaa)DE-He213 Usman, Muhammad T. verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 8 vom: Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:8 month:04 https://dx.doi.org/10.1007/s12517-021-07057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2021 8 04
allfields_unstemmed	10.1007/s12517-021-07057-8 doi (DE-627)SPR043767400 (SPR)s12517-021-07057-8-e DE-627 ger DE-627 rakwb eng 550 ASE Ibrahim, Ishiaku verfasserin aut Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths. Drought (dpeaa)DE-He213 SPI (dpeaa)DE-He213 MQI (dpeaa)DE-He213 mMQI (dpeaa)DE-He213 Rainfall (dpeaa)DE-He213 Wet periods (dpeaa)DE-He213 Dry periods (dpeaa)DE-He213 Usman, Muhammad T. verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 8 vom: Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:8 month:04 https://dx.doi.org/10.1007/s12517-021-07057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2021 8 04
allfieldsGer	10.1007/s12517-021-07057-8 doi (DE-627)SPR043767400 (SPR)s12517-021-07057-8-e DE-627 ger DE-627 rakwb eng 550 ASE Ibrahim, Ishiaku verfasserin aut Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths. Drought (dpeaa)DE-He213 SPI (dpeaa)DE-He213 MQI (dpeaa)DE-He213 mMQI (dpeaa)DE-He213 Rainfall (dpeaa)DE-He213 Wet periods (dpeaa)DE-He213 Dry periods (dpeaa)DE-He213 Usman, Muhammad T. verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 8 vom: Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:8 month:04 https://dx.doi.org/10.1007/s12517-021-07057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2021 8 04
allfieldsSound	10.1007/s12517-021-07057-8 doi (DE-627)SPR043767400 (SPR)s12517-021-07057-8-e DE-627 ger DE-627 rakwb eng 550 ASE Ibrahim, Ishiaku verfasserin aut Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths. Drought (dpeaa)DE-He213 SPI (dpeaa)DE-He213 MQI (dpeaa)DE-He213 mMQI (dpeaa)DE-He213 Rainfall (dpeaa)DE-He213 Wet periods (dpeaa)DE-He213 Dry periods (dpeaa)DE-He213 Usman, Muhammad T. verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 8 vom: Apr. (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:8 month:04 https://dx.doi.org/10.1007/s12517-021-07057-8 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 14 2021 8 04
language	English
source	Enthalten in Arabian journal of geosciences 14(2021), 8 vom: Apr. volume:14 year:2021 number:8 month:04
sourceStr	Enthalten in Arabian journal of geosciences 14(2021), 8 vom: Apr. volume:14 year:2021 number:8 month:04
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Drought SPI MQI mMQI Rainfall Wet periods Dry periods
dewey-raw	550
isfreeaccess_bool	false
container_title	Arabian journal of geosciences
authorswithroles_txt_mv	Ibrahim, Ishiaku @@aut@@ Usman, Muhammad T. @@aut@@
publishDateDaySort_date	2021-04-01T00:00:00Z
hierarchy_top_id	572421877
dewey-sort	3550
id	SPR043767400
language_de	englisch
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author	Ibrahim, Ishiaku
spellingShingle	Ibrahim, Ishiaku ddc 550 misc Drought misc SPI misc MQI misc mMQI misc Rainfall misc Wet periods misc Dry periods Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria
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topic_title	550 ASE Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria Drought (dpeaa)DE-He213 SPI (dpeaa)DE-He213 MQI (dpeaa)DE-He213 mMQI (dpeaa)DE-He213 Rainfall (dpeaa)DE-He213 Wet periods (dpeaa)DE-He213 Dry periods (dpeaa)DE-He213
topic	ddc 550 misc Drought misc SPI misc MQI misc mMQI misc Rainfall misc Wet periods misc Dry periods
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title	Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria
ctrlnum	(DE-627)SPR043767400 (SPR)s12517-021-07057-8-e
title_full	Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria
author_sort	Ibrahim, Ishiaku
journal	Arabian journal of geosciences
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author_browse	Ibrahim, Ishiaku Usman, Muhammad T.
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title_sort	comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of nigeria
title_auth	Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria
abstract	Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths. © Saudi Society for Geosciences 2021
abstractGer	Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths. © Saudi Society for Geosciences 2021
abstract_unstemmed	Abstract This study evaluated the suitability of a monsoon quality index (MQI) within the timescales of 6 months and 12 months, as an alternative to the standardised precipitation index (SPI), in assessing rainfall conditions over the rainfall-sensitive, food-producing savanna zones of Nigeria. The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. The requirement for long-term records to compute the SPI makes it relatively weak for environments where data records may be sparse and of varying lengths. © Saudi Society for Geosciences 2021
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title_short	Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria
url	https://dx.doi.org/10.1007/s12517-021-07057-8
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author2	Usman, Muhammad T.
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doi_str	10.1007/s12517-021-07057-8
up_date	2024-07-03T20:45:37.594Z
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The results revealed varied correlation between commensurate rainfall variability classes depicted by the indices at the two timescales (ranging from −0.719 for near normal and fair rainfall pairs to 0.249 for extreme drought and extremely poor rainfall pairs) due to MQI’s emphasis on intraseasonal dry spells. The findings also showed that while the MQI did better at depicting the south to north variability in rainfall, it over-generalised the wet and dry events by implying very sharp drops in rainfall quality between the southerly and northerly locations. It was thus reclassified into a modified monsoon quality index (mMQI) to correct the over-generalisation. The trend analysis of the frequency of wet and dry episodes for the mMQI and SPI demonstrated agreement in a declining tendency in dry periods and a rising tendency in wet periods. While further studies are recommended to assess differences and similarities between the SPI and mMQI for other rainfall regimes, it is clear that the mMQI has shown viability in analysing wet and dry events in Nigeria’s savanna zones and is able to do so even with just 1 year of data. 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Comparative analyses of standardised precipitation index and moisture quality index for wet and dry periods monitoring over the savanna zones of Nigeria

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